Building energy consumption low-carbon evaluation method based on building material transformation

Abstract

The invention discloses a building energy consumption low-carbon evaluation method based on building material transformation, relates to the field of buildings, solves the problem of poor evaluation effect of an existing building energy consumption low-carbon evaluation method, and comprises the following steps: S1, obtaining a building area index value and an active population index value corresponding to a target building, the method comprises the steps of S1, performing energy analysis on a target building to obtain a first building low-carbon evaluation coefficient, S2, performing energy analysis on the target building to obtain a second building low-carbon evaluation coefficient, and S3, performing building material analysis on a target project to obtain a third building low-carbon evaluation coefficient, and S4, performing low-carbon evaluation on the target building according to the first building low-carbon evaluation coefficient, the second building low-carbon evaluation coefficient and the third building low-carbon evaluation coefficient. According to the method, the comprehensiveness and the accuracy of a building energy consumption low-carbon evaluation result can be further improved.

Description

Technical Field

[0001] The present invention belongs to the field of construction and relates to data analysis technology, in particular to a low-carbon assessment method for building energy consumption based on the transformation of building materials. Background Art

[0002] The existing building energy consumption low-carbon assessment methods have the following defects when conducting low-carbon assessments:

[0003] 1. Existing assessment methods mainly focus on the low-carbon energy consumption assessment of target buildings during their use phase, while ignoring the low-carbon energy consumption assessment during the entire life cycle of the building, resulting in a lack of accuracy and comprehensiveness in the low-carbon energy consumption of buildings;

[0004] 2. Existing building energy consumption low-carbon assessment methods often need to set a fixed assessment cycle when conducting low-carbon assessments, and cannot dynamically update the assessment cycle, which results in the lack of practical value of the assessment results and causes a waste of monitoring and assessment resources;

[0005] To this end, we propose a low-carbon assessment method for building energy consumption based on the transformation of building materials. Summary of the invention

[0006] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a low-carbon assessment method for building energy consumption based on building material transformation. The present invention is based on obtaining the building area index value and the active population index value corresponding to the target building, and obtaining a first building low-carbon assessment coefficient by analyzing the building area index value and the active population index value corresponding to the target building, obtaining the building energy monitoring cycle, obtaining the power equipment that can generate new energy in the target building, obtaining multiple power equipment, respectively obtaining the equipment cycle average power generation and the equipment cycle average power generation of each power equipment within the building energy monitoring cycle, and analyzing the multiple equipment cycle average power generation and equipment cycle average The average power generation is obtained to obtain the second building low-carbon assessment coefficient, the building materials list corresponding to the target building is obtained, the building materials in the building materials list are named as the first building material to the bth building material, the building material usage and the building material low-carbon assessment coefficient corresponding to each building material are obtained respectively, and the third building low-carbon assessment coefficient is obtained by analyzing multiple building material usage and building material low-carbon assessment coefficients, the building energy consumption low-carbon assessment coefficient is calculated according to the first building low-carbon assessment coefficient, the second building low-carbon assessment coefficient and the third building low-carbon assessment coefficient, the building energy consumption low-carbon assessment coefficient threshold is obtained and numerically compared with the building energy consumption low-carbon assessment coefficient, and the target building is low-carbon assessed according to the numerical comparison result.

[0007] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: A low-carbon assessment method for building energy consumption based on building material transformation comprises the following specific steps:

[0008] Step S1: Obtain the building area index value and the active population index value corresponding to the target building, and obtain the first building low-carbon assessment coefficient by analyzing the building area index value and the active population index value corresponding to the target building;

[0009] Step S2: Obtain the building energy monitoring cycle, obtain the power equipment that can generate new energy in the target building, obtain multiple power equipment, obtain the equipment cycle average power generation and equipment cycle average power generation of each power equipment in the building energy monitoring cycle, and obtain the second building low-carbon assessment coefficient by analyzing the multiple equipment cycle average power generation and equipment cycle average power generation;

[0010] Step S3: Obtain a list of building materials corresponding to the target building, name the building materials in the list of building materials as the first building material to the bth building material, respectively obtain the building material usage and the building material low-carbon assessment coefficient corresponding to each building material, and obtain the third building low-carbon assessment coefficient by analyzing multiple building material usage and building material low-carbon assessment coefficients;

[0011] Step S4: Calculate the building energy consumption low-carbon assessment coefficient according to the first building low-carbon assessment coefficient, the second building low-carbon assessment coefficient and the third building low-carbon assessment coefficient, obtain the building energy consumption low-carbon assessment coefficient threshold and compare it numerically with the building energy consumption low-carbon assessment coefficient, and perform low-carbon assessment on the target building according to the numerical comparison result.

[0012] Furthermore, the step S1 further includes the following specific steps:

[0013] Step S11: Analyze the building area of ​​the target building to obtain the building area index value corresponding to the target building;

[0014] Step S12: Analyze the active population of the target building to obtain the active population index value corresponding to the target building;

[0015] Step S13: Calculate the active population index value and the building area index value corresponding to the target building to obtain a first building low-carbon assessment coefficient;

[0016] The low-carbon assessment coefficient of the first building is calculated using the following formula:

[0017]

[0018] Among them, Jpx1 is the low-carbon assessment coefficient of the first building, Jsm is the active population index value corresponding to the target building, and Rkz is the active population index value corresponding to the target building.

[0019] Furthermore, the step S11 further includes the following specific steps:

[0020] Step S111: Obtaining a region map corresponding to the region where the target building is located, and obtaining a target region map;

[0021] Step S112: acquiring the floor area of ​​the target building according to the target area map to obtain the floor area value of the target building;

[0022] Step S113: obtaining the internal plan of the building corresponding to the target building, obtaining the single-story building area value corresponding to the target building according to the internal plan of the building, obtaining the single-story area value of the target building, obtaining the number of floors corresponding to the target building, obtaining the number of floors of the target building, calculating the product of the single-story area value of the target building and the number of floors of the target building, and obtaining the internal area value of the target building;

[0023] Step S114: In the target building, the building face where the building gate is located is marked as the first building face, the face opposite to the first building face is marked as the second building face, the left side of the first building face is marked as the third building face, the right side of the first building face is marked as the fourth building face, and the face where the top of the target building is located is marked as the fifth building face, and the projection area values ​​corresponding to the first building face to the fifth building face are respectively obtained to obtain the first projection area value to the fifth projection area value, and the first projection area value to the fifth projection area value are summed to obtain the target facade area value;

[0024] Step S115: Calculate the target facade area value, the target building internal area value and the target building floor area value to obtain the building area index value corresponding to the target building;

[0025] Calculate the building area index value corresponding to the target building. The specific formula is as follows:

[0026] Jsm = Wlm + Nbm + Zdm;

[0027] Among them, Jsm is the building area index value corresponding to the target building, Wlm is the target facade area value, Nbm is the target building internal area value, and Zdm is the target building floor area value.

[0028] Furthermore, the step S12 further includes the following specific steps:

[0029] Step S121: randomly selecting a number of population monitoring time points during the period of population analysis of the target building to obtain a plurality of population monitoring time points, and the time intervals between each two consecutive population monitoring time points are equal;

[0030] Step S122: acquiring the population value inside the target building at each population monitoring time point to obtain a plurality of monitored population value;

[0031] Step S123: Calculate the average of multiple monitored population values ​​to obtain the average value of the monitored population;

[0032] Step S124: performing variance calculation on multiple monitored population quantity values ​​to obtain monitored population variance;

[0033] Step S125: Calculate the average value of the monitored population and the variance of the monitored population to obtain the active population index value corresponding to the target building;

[0034] Calculate the active population index value corresponding to the target building. The specific formula is as follows:

[0035] Rkz=Rpj+Rpj×(1+Rfc);

[0036] Among them, Rkz is the active population index value corresponding to the target building, Rpj is the average value of the monitored population, and Rfc is the variance of the monitored population.

[0037] Furthermore, the step S2 further includes the following specific steps:

[0038] Step S21: Acquire the time value corresponding to the current moment to obtain a first energy monitoring time point, mark the time point corresponding to an energy monitoring duration before the first energy monitoring time point as a second energy monitoring time point, and mark the first energy monitoring time point and the second energy monitoring time point as a building energy monitoring cycle;

[0039] Step S22: acquiring power equipment capable of generating new energy in the target building, and naming the acquired power equipment as first power equipment to ath power equipment respectively;

[0040] Step S23: respectively obtaining the power generation time ratio of the first device cycle to the power generation time ratio of the a-th device cycle and the average power generation power of the first device cycle to the average power generation power of the a-th device cycle;

[0041] Step S24: Calculate the second building low-carbon assessment coefficient by dividing the average power generation power of the first equipment cycle to the average power generation power of the ath equipment cycle and the power generation time ratio of the first equipment cycle to the power generation time ratio of the ath equipment cycle;

[0042] The low-carbon assessment coefficient of the second building is calculated using the following formula:

[0043] Jpx2=Glz1×Scb1+Glz2×Scb2+……+Glza×Scba;

[0044] Among them, Jpx2 is the low-carbon assessment coefficient of the second building, Glz1 to Glza are the average power generation power of the first equipment cycle to the average power generation power of the ath equipment cycle, and Scb1 to Scba are the power generation time ratio of the first equipment cycle to the power generation time ratio of the ath equipment cycle.

[0045] Furthermore, the step S23 further includes the following specific steps:

[0046] Step S231: within the building energy monitoring cycle, randomly mark a number of equipment power monitoring points, obtain the power generation value corresponding to each equipment power monitoring point of the first power equipment, obtain a plurality of monitoring power generation values, and average the obtained plurality of power generation values ​​to obtain the first equipment period average power generation;

[0047] Step S232: respectively acquiring the average power generation of the second power equipment to the ath power equipment in the building energy monitoring cycle, and obtaining the average power generation of the second equipment cycle to the average power generation of the ath equipment cycle;

[0048] Step S233: respectively obtaining the effective power generation duration of the first power device to the ath power device within the building energy monitoring cycle, and obtaining the power generation duration of the first device cycle to the ath device cycle;

[0049] Step S234: numerically obtain the time length corresponding to the building energy monitoring cycle to obtain the monitoring cycle length, and respectively obtain the ratio of the first equipment cycle power generation time to the ath equipment cycle power generation time to the monitoring cycle length to obtain the first equipment cycle power generation time ratio to the ath equipment cycle power generation time ratio.

[0050] Furthermore, the step S3 further includes the following specific steps:

[0051] Step S31: Obtain a list of building materials corresponding to the target building, and name the building materials involved in the list of building materials as first building materials to bth building materials respectively;

[0052] Step S32: acquiring the usage amounts of the first building material to the bth building material respectively according to the building material list to obtain the usage amounts of the first building material to the bth building material;

[0053] Step S33: Perform a low-carbon assessment on the first building material to obtain a low-carbon assessment coefficient of the first building material;

[0054] Step S34: performing low-carbon assessment on the second building material to the b-th building material respectively to obtain low-carbon assessment coefficients of the second building material to the b-th building material;

[0055] Step S35: Calculate the usage of the first building material to the bth building material and the low-carbon assessment coefficient of the first building material to the bth building material to obtain a third building low-carbon assessment coefficient;

[0056] The low-carbon assessment coefficient of the third building is calculated as follows:

[0057] Jpx3=Jtp1×Syl1+Jtp2×Syl2+……+Jtpb×Sylb;

[0058] Among them, Jpx3 is the third building low-carbon assessment coefficient, Jtp1 to Jtpb are the first building material low-carbon assessment coefficient to the bth building material low-carbon assessment coefficient, and Syl1 to Sylb are the first building material usage to the bth building material usage.

[0059] Furthermore, the step S33 further includes the following specific steps:

[0060] Step S331: selecting a first building material per unit mass as a low-carbon assessment monitoring sample;

[0061] Step S332: placing the low-carbon assessment monitoring sample in a sealed container of unit area, and after the low-carbon assessment sample is left in the sealed container for a characteristic sealed monitoring time, collecting an air sample of unit volume in the sealed container as a building material monitoring air sample;

[0062] Step S333: respectively setting the first building material environmental monitoring index to the cth building material environmental monitoring index, respectively obtaining the index contents corresponding to the first building material environmental monitoring index to the cth building material environmental monitoring index in the building material monitoring air sample, and obtaining the first building material index contents to the cth building material index contents;

[0063] Step S334: respectively obtaining the qualified index values ​​corresponding to the first building material environmental monitoring index to the c-th building material environmental monitoring index, and obtaining the qualified index values ​​of the first building material to the c-th building material;

[0064] Step S335: Calculate the first building material low-carbon assessment coefficient by combining the first building material index content to the c-th building material index content and the first building material qualified index value to the c-th building material qualified index value;

[0065] The low-carbon assessment coefficient of the First Building Materials is obtained as follows:

[0066] Jtp1=|Zbh1-Zbj1|+|Zbh2-Zbj2|+……+|Zbhc-Zbjc|;

[0067] Among them, Jtp1 is the low-carbon assessment coefficient of the first building material, Zbh1 to Zbhc are the index contents of the first building material to the cth building material respectively, and Zbj1 to Zbjc are the qualified index values ​​of the cth building material respectively.

[0068] Furthermore, the step S4 further includes the following specific steps:

[0069] Step S41: respectively obtaining a first building low-carbon assessment coefficient, a second building low-carbon assessment coefficient, and a third building low-carbon assessment coefficient;

[0070] Step S42: Calculate the first building low-carbon assessment coefficient, the second building low-carbon assessment coefficient, and the third building low-carbon assessment coefficient to obtain a building energy consumption low-carbon assessment coefficient;

[0071] The low-carbon assessment coefficient of building energy consumption is calculated as follows:

[0072]

[0073] Among them, Jdp is the low-carbon assessment coefficient of building energy consumption, Jpx1 is the low-carbon assessment coefficient of the first building, Jpx2 is the low-carbon assessment coefficient of the second building, and Jpx3 is the low-carbon assessment coefficient of the third building;

[0074] Step S43: Obtain a building energy consumption low-carbon assessment coefficient threshold value and compare it with the building energy consumption low-carbon assessment coefficient, and perform a low-carbon assessment on the target building according to the comparison result.

[0075] Furthermore, the step S43 further includes the following specific steps:

[0076] Step S431: respectively obtaining a first building low-carbon assessment coefficient threshold, a second building low-carbon assessment coefficient threshold, and a third building low-carbon assessment coefficient threshold;

[0077] Step S432: Calculate the first building low-carbon assessment coefficient threshold, the second building low-carbon assessment coefficient threshold, and the third building low-carbon assessment coefficient threshold to obtain a building energy consumption low-carbon assessment coefficient threshold;

[0078] Step S433: When the building energy consumption low-carbon assessment coefficient is less than or equal to the building energy consumption low-carbon assessment coefficient threshold, the target building energy consumption low-carbon assessment is qualified;

[0079] Step S434: When the building energy consumption low-carbon assessment coefficient is greater than the building energy consumption low-carbon assessment coefficient threshold, the target building energy consumption low-carbon assessment is qualified.

[0080] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0081] 1. The present invention realizes low-carbon assessment of building energy consumption by monitoring the building area, active population, clean energy and building materials of the target building, which can further improve the comprehensiveness of the assessment results;

[0082] 2. The present invention performs low-carbon energy consumption assessment by acquiring low-carbon building energy consumption data of the target building during the use period and the construction period respectively, thereby realizing low-carbon energy consumption assessment of the target building throughout its life cycle, which is beneficial to improving the environmental protection benefits of the target building. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0084] Figure 1 It is a diagram of the implementation steps of the present invention;

[0085] Figure 2 is a schematic diagram of a target building in the present invention;

[0086] Figure 3 It is a schematic diagram of the closed container in the present invention. DETAILED DESCRIPTION

[0087] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0088] Embodiment 1

[0089] See also Figure 1 The present invention provides a technical solution: a low-carbon building energy consumption assessment method based on building material transformation, comprising the following specific steps:

[0090] Step S1: respectively obtaining the building area index value and the active population index value corresponding to the target building, and obtaining the first building low-carbon assessment coefficient by analyzing the building area index value and the active population index value corresponding to the target building;

[0091] Step S11: Analyze the building area of ​​the target building to obtain the building area index value corresponding to the target building;

[0092] The step S11 further includes the following specific steps:

[0093] Step S111: Obtaining a region map corresponding to the region where the target building is located, and obtaining a target region map;

[0094] Step S112: acquiring the floor area of ​​the target building according to the target area map to obtain the floor area value of the target building;

[0095] Step S113: obtaining the internal plan of the building corresponding to the target building, obtaining the single-story building area value corresponding to the target building according to the internal plan of the building, obtaining the single-story area value of the target building, obtaining the number of floors corresponding to the target building, obtaining the number of floors of the target building, calculating the product of the single-story area value of the target building and the number of floors of the target building, and obtaining the internal area value of the target building;

[0096] Step S114: Please refer to Figure 2 , in the target building, mark the building face where the building gate is located as the first building face, mark the face opposite to the first building face as the second building face, mark the left side of the first building face as the third building face, mark the right side of the first building face as the fourth building face, mark the face where the top of the target building is located as the fifth building face, obtain the projection area values ​​corresponding to the first building face to the fifth building face respectively, obtain the first projection area value to the fifth projection area value, sum the first projection area value to the fifth projection area value, and obtain the target facade area value;

[0097] Step S115: Calculate the target facade area value, the target building internal area value and the target building floor area value to obtain the building area index value corresponding to the target building;

[0098] Calculate the building area index value corresponding to the target building. The specific formula is as follows:

[0099] Jsm = Wlm + Nbm + Zdm;

[0100] Among them, Jsm is the building area index value corresponding to the target building, Wlm is the target facade area value, Nbm is the target building internal area value, and Zdm is the target building floor area value;

[0101] Step S12: Analyze the active population of the target building to obtain the active population index value corresponding to the target building;

[0102] The step S12 further includes the following specific steps:

[0103] Step S121: randomly selecting a number of population monitoring time points during the period of population analysis of the target building to obtain a plurality of population monitoring time points, and the time intervals between each two consecutive population monitoring time points are equal;

[0104] Step S122: acquiring the population value inside the target building at each population monitoring time point to obtain a plurality of monitored population value;

[0105] Step S123: Calculate the average of multiple monitored population values ​​to obtain the average value of the monitored population;

[0106] Step S124: performing variance calculation on multiple monitored population quantity values ​​to obtain monitored population variance;

[0107] Step S125: Calculate the average value of the monitored population and the variance of the monitored population to obtain the active population index value corresponding to the target building;

[0108] Calculate the active population index value corresponding to the target building. The specific formula is as follows:

[0109] Rkz=Rpj+Rpj×(1+Rfc);

[0110] Among them, Rkz is the active population index value corresponding to the target building, Rpj is the average value of the monitored population, and Rfc is the variance of the monitored population;

[0111] Step S13: Calculate the active population index value and the building area index value corresponding to the target building to obtain a first building low-carbon assessment coefficient;

[0112] The low-carbon assessment coefficient of the first building is calculated using the following formula:

[0113]

[0114] Among them, Jpx1 is the low-carbon assessment coefficient of the first building, Jsm is the active population index value corresponding to the target building, and Rkz is the active population index value corresponding to the target building;

[0115] Step S2: Obtaining a low-carbon assessment coefficient of a second building by performing energy analysis on the target building;

[0116] Step S21: Acquire the time value corresponding to the current moment to obtain a first energy monitoring time point, mark the time point corresponding to an energy monitoring duration before the first energy monitoring time point as a second energy monitoring time point, and mark the first energy monitoring time point and the second energy monitoring time point as a building energy monitoring cycle;

[0117] It should be noted here that:

[0118] In the present application, as the time value corresponding to the current moment changes, the time values ​​corresponding to the first energy monitoring time point and the second energy monitoring time point also change accordingly, thereby achieving dynamic update of the building energy monitoring cycle;

[0119] Step S22: acquiring power equipment capable of generating new energy in the target building, and naming the acquired power equipment as first power equipment to ath power equipment respectively;

[0120] It should be noted here that:

[0121] In this application, a is the quantity value corresponding to the power equipment, and a is an integer greater than 0;

[0122] The power equipment involved here is specifically clean power generation equipment, and specific power equipment includes but is not limited to solar photovoltaic panels, solar water heating systems, wind turbines and biomass power generation equipment;

[0123] Step S23: respectively obtaining the power generation time ratio of the first device cycle to the power generation time ratio of the a-th device cycle and the average power generation power of the first device cycle to the average power generation power of the a-th device cycle;

[0124] The step S23 further includes the following specific steps:

[0125] Step S231: within the building energy monitoring cycle, randomly mark a number of equipment power monitoring points, obtain the power generation value corresponding to each equipment power monitoring point of the first power equipment, obtain a plurality of monitoring power generation values, and average the obtained plurality of power generation values ​​to obtain the first equipment period average power generation;

[0126] Step S232: respectively acquiring the average power generation of the second power equipment to the ath power equipment in the building energy monitoring cycle, and obtaining the average power generation of the second equipment cycle to the average power generation of the ath equipment cycle;

[0127] Step S233: respectively obtaining the effective power generation duration of the first power device to the ath power device within the building energy monitoring cycle, and obtaining the power generation duration of the first device cycle to the ath device cycle;

[0128] Step S234: numerically obtain the time length corresponding to the building energy monitoring cycle to obtain the monitoring cycle length, respectively obtain the ratio of the first equipment cycle power generation length to the ath equipment cycle power generation length to the monitoring cycle length, and obtain the first equipment cycle power generation length ratio to the ath equipment cycle power generation length ratio;

[0129] Step S24: Calculate the second building low-carbon assessment coefficient by dividing the average power generation power of the first equipment cycle to the average power generation power of the ath equipment cycle and the power generation time ratio of the first equipment cycle to the power generation time ratio of the ath equipment cycle;

[0130] The low-carbon assessment coefficient of the second building is calculated using the following formula:

[0131] Jpx2=Glz1×Scb1+Glz2×Scb2+……+Glza×Scba;

[0132] Among them, Jpx2 is the low-carbon assessment coefficient of the second building, Glz1 to Glza are respectively the average power generation power of the first equipment cycle to the average power generation power of the ath equipment cycle, and Scb1 to Scba are respectively the power generation time ratio of the first equipment cycle to the power generation time ratio of the ath equipment cycle;

[0133] Step S3: Analyze the building materials of the target project to obtain the third building low-carbon assessment coefficient;

[0134] Step S31: Obtain a list of building materials corresponding to the target building, and name the building materials involved in the list of building materials as first building materials to bth building materials respectively;

[0135] It should be noted here that:

[0136] The b involved here refers to the quantity value corresponding to the specific building material, and b is an integer greater than 0;

[0137] In the application, the building materials involved here are all decoration materials. The first building material involved here can be quartz sand for the facade, the second building material can be gypsum board, and the third building material can be latex paint;

[0138] Step S32: acquiring the usage amounts of the first building material to the bth building material respectively according to the building material list to obtain the usage amounts of the first building material to the bth building material;

[0139] Step S33: Perform a low-carbon assessment on the first building material to obtain a low-carbon assessment coefficient of the first building material;

[0140] The step S33 further includes the following specific steps:

[0141] Step S331: selecting a first building material per unit mass as a low-carbon assessment monitoring sample;

[0142] Step S332: Please refer to Figure 3 , placing the low-carbon assessment monitoring sample in a sealed container of unit area, after the low-carbon assessment sample is left in the sealed container for a characteristic sealed monitoring time, collecting a unit volume of air sample in the sealed container as a building material monitoring air sample;

[0143] Step S333: respectively setting the first building material environmental monitoring index to the cth building material environmental monitoring index, respectively obtaining the index contents corresponding to the first building material environmental monitoring index to the cth building material environmental monitoring index in the building material monitoring air sample, and obtaining the first building material index contents to the cth building material index contents;

[0144] It should be noted here that:

[0145] The first building material environmental monitoring index involved here may be formaldehyde, the second building material environmental monitoring index may be benzene, and the third building material environmental monitoring index may be radon;

[0146] Step S334: respectively obtaining the qualified index values ​​corresponding to the first building material environmental monitoring index to the c-th building material environmental monitoring index, and obtaining the qualified index values ​​of the first building material to the c-th building material;

[0147] Step S335: Calculate the first building material low-carbon assessment coefficient by combining the first building material index content to the c-th building material index content and the first building material qualified index value to the c-th building material qualified index value;

[0148] The low-carbon assessment coefficient of the First Building Materials is obtained as follows:

[0149] Jtp1=|Zbh1-Zbj1|+|Zbh2-Zbj2|+……+|Zbhc-Zbjc|;

[0150] Among them, Jtp1 is the low-carbon assessment coefficient of the first building material, Zbh1 to Zbhc are the index contents of the first building material to the cth building material respectively, and Zbj1 to Zbjc are the qualified index values ​​of the cth building material respectively;

[0151] Step S34: performing low-carbon assessment on the second building material to the b-th building material respectively to obtain low-carbon assessment coefficients of the second building material to the b-th building material;

[0152] Step S35: Calculate the usage of the first building material to the bth building material and the low-carbon assessment coefficient of the first building material to the bth building material to obtain a third building low-carbon assessment coefficient;

[0153] The low-carbon assessment coefficient of the third building is calculated as follows:

[0154] Jpx3=Jtp1×Syl1+Jtp2×Syl2+……+Jtpb×Sylb;

[0155] Among them, Jpx3 is the third building low-carbon assessment coefficient, Jtp1 to Jtpb are the first building material low-carbon assessment coefficient to the bth building material low-carbon assessment coefficient, and Syl1 to Sylb are the first building material usage to the bth building material usage;

[0156] Step S4: Calculate the building energy consumption low-carbon assessment coefficient according to the first building low-carbon assessment coefficient, the second building low-carbon assessment coefficient and the third building low-carbon assessment coefficient, obtain the building energy consumption low-carbon assessment coefficient threshold and compare the value with the building energy consumption low-carbon assessment coefficient, and perform low-carbon assessment on the target building according to the numerical comparison result;

[0157] Step S41: respectively obtaining a first building low-carbon assessment coefficient, a second building low-carbon assessment coefficient, and a third building low-carbon assessment coefficient;

[0158] Step S42: Calculate the first building low-carbon assessment coefficient, the second building low-carbon assessment coefficient, and the third building low-carbon assessment coefficient to obtain a building energy consumption low-carbon assessment coefficient;

[0159] The low-carbon assessment coefficient of building energy consumption is calculated as follows:

[0160]

[0161] Among them, Jdp is the low-carbon assessment coefficient of building energy consumption, Jpx1 is the low-carbon assessment coefficient of the first building, Jpx2 is the low-carbon assessment coefficient of the second building, and Jpx3 is the low-carbon assessment coefficient of the third building;

[0162] Step S43: obtaining a threshold value of a building energy consumption low-carbon assessment coefficient and performing a numerical comparison with the building energy consumption low-carbon assessment coefficient, and performing a low-carbon assessment on the target building according to the numerical comparison result;

[0163] The step S43 further includes the following specific steps:

[0164] Step S431: respectively obtaining a first building low-carbon assessment coefficient threshold, a second building low-carbon assessment coefficient threshold, and a third building low-carbon assessment coefficient threshold;

[0165] Step S432: Calculate the first building low-carbon assessment coefficient threshold, the second building low-carbon assessment coefficient threshold, and the third building low-carbon assessment coefficient threshold to obtain a building energy consumption low-carbon assessment coefficient threshold;

[0166] The threshold of the building energy consumption low-carbon assessment coefficient is calculated using the following formula:

[0167]

[0168] Among them, Jdpy is the low-carbon assessment coefficient threshold of building energy consumption, Jpxy1 is the low-carbon assessment coefficient threshold of the first building, Jpxy2 is the low-carbon assessment coefficient threshold of the second building, and Jpxy3 is the low-carbon assessment coefficient threshold of the third building;

[0169] Step S433: When the building energy consumption low-carbon assessment coefficient is less than or equal to the building energy consumption low-carbon assessment coefficient threshold, the target building energy consumption low-carbon assessment is qualified;

[0170] Step S434: When the building energy consumption low-carbon assessment coefficient is greater than the building energy consumption low-carbon assessment coefficient threshold, the target building energy consumption low-carbon assessment is qualified;

[0171] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0172] Embodiment 2

[0173] Based on another concept of the same invention, a building energy consumption low-carbon assessment system based on building material transformation is proposed, which is applied to a building energy consumption low-carbon assessment method based on building material transformation. The building energy consumption low-carbon assessment system includes a building data module, an energy data module, a building material module, a low-carbon assessment module and a server. The building data module, the energy data module, the building material module and the low-carbon assessment module are respectively connected to the server, and the server controls the building data module, the energy data module, the building material module and the low-carbon assessment module respectively.

[0174] The building data module obtains the building area index value and the active population index value corresponding to the target building respectively, and obtains the first building low-carbon assessment coefficient by analyzing the building area index value and the active population index value corresponding to the target building;

[0175] Analyze the building area of ​​the target building to obtain the building area index value corresponding to the target building;

[0176] The details are as follows:

[0177] Obtain a regional map corresponding to the area where the target building is located, and obtain a target regional map;

[0178] The area occupied by the target building is obtained according to the target area map to obtain the area value of the target building;

[0179] Obtaining the internal plan of the target building, obtaining the single-story building area value corresponding to the target building according to the internal plan, obtaining the single-story area value of the target building, and obtaining the number of floors corresponding to the target building to obtain the number of floors of the target building, calculating the product of the single-story area value of the target building and the number of floors of the target building to obtain the internal area value of the target building;

[0180] In the target building, the building face where the building gate is located is marked as the first building face, the face opposite to the first building face is marked as the second building face, the left side of the first building face is marked as the third building face, the right side of the first building face is marked as the fourth building face, and the face where the top of the target building is located is marked as the fifth building face, and the projection area values ​​corresponding to the first building face to the fifth building face are obtained respectively to obtain the first projection area value to the fifth projection area value, and the first projection area value to the fifth projection area value are summed to obtain the target facade area value;

[0181] The target facade area value, the target building internal area value and the target building floor area value are calculated to obtain the building area index value corresponding to the target building;

[0182] Calculate the building area index value corresponding to the target building. The specific formula is as follows:

[0183] Jsm = Wlm + Nbm + Zdm;

[0184] Among them, Jsm is the building area index value corresponding to the target building, Wlm is the target facade area value, Nbm is the target building internal area value, and Zdm is the target building floor area value;

[0185] Conduct active population analysis on the target building to obtain the active population index value corresponding to the target building;

[0186] The details are as follows:

[0187] During the period of population analysis of the target building, several population monitoring time points are randomly selected to obtain multiple population monitoring time points, and the time intervals between two consecutive population monitoring time points are equal;

[0188] At each population monitoring time point, the population quantity value inside the target building is obtained to obtain multiple monitoring population quantity values;

[0189] Calculate the average of multiple monitored population quantity values ​​to obtain the average value of the monitored population;

[0190] The variance of multiple monitored population quantity values ​​is calculated to obtain the monitored population variance;

[0191] The active population index value corresponding to the target building is obtained by calculating the mean value and variance of the monitored population;

[0192] Calculate the active population index value corresponding to the target building. The specific formula is as follows:

[0193] Rkz=Rpj+Rpj×(1+Rfc);

[0194] Among them, Rkz is the active population index value corresponding to the target building, Rpj is the average value of the monitored population, and Rfc is the variance of the monitored population;

[0195] The active population index value and building area index value corresponding to the target building are calculated to obtain the first building low-carbon assessment coefficient;

[0196] The low-carbon assessment coefficient of the first building is calculated using the following formula:

[0197]

[0198] Among them, Jpx1 is the low-carbon assessment coefficient of the first building, Jsm is the active population index value corresponding to the target building, and Rkz is the active population index value corresponding to the target building;

[0199] The building data module obtains the low-carbon assessment coefficient of the first building and transmits it to the low-carbon assessment module;

[0200] The energy data module obtains the low-carbon assessment coefficient of the second building by conducting energy analysis on the target building;

[0201] Acquire the time value corresponding to the current moment to obtain a first energy monitoring time point, mark the time point corresponding to an energy monitoring duration before the first energy monitoring time point as a second energy monitoring time point, and mark the first energy monitoring time point and the second energy monitoring time point as a building energy monitoring cycle;

[0202] It should be noted here that:

[0203] In the present application, as the time value corresponding to the current moment changes, the time values ​​corresponding to the first energy monitoring time point and the second energy monitoring time point also change accordingly, thereby achieving dynamic update of the building energy monitoring cycle;

[0204] Acquire the power equipment capable of generating new energy in the target building, and name the acquired power equipment as first power equipment to ath power equipment respectively;

[0205] It should be noted here that:

[0206] In this application, a is the quantity value corresponding to the power equipment, and a is an integer greater than 0;

[0207] The power equipment involved here is specifically clean power generation equipment, and specific power equipment includes but is not limited to solar photovoltaic panels, solar water heating systems, wind turbines and biomass power generation equipment;

[0208] Obtain respectively the power generation duration ratio of the first device cycle to the power generation duration ratio of the a-th device cycle and the average power generation power of the first device cycle to the average power generation power of the a-th device cycle;

[0209] The details are as follows:

[0210] During the energy monitoring period of the building, a number of equipment power monitoring points are randomly marked, and the power generation value corresponding to each equipment power monitoring point of the first power equipment is obtained respectively, so as to obtain a plurality of monitoring power generation values, and the average of the obtained plurality of power generation values ​​is calculated to obtain the period average power generation of the first equipment;

[0211] The average power generation of the second power equipment to the ath power equipment in the building energy monitoring cycle is respectively acquired to obtain the average power generation of the second equipment cycle to the average power generation of the ath equipment cycle;

[0212] Respectively obtain the effective power generation duration of the first power equipment to the ath power equipment within the building energy monitoring cycle, and obtain the power generation duration of the first equipment cycle to the ath equipment cycle;

[0213] The time length corresponding to the energy monitoring cycle of the building is numerically obtained to obtain the monitoring cycle duration, and the ratio of the power generation duration of the first equipment cycle to the power generation duration of the ath equipment cycle to the monitoring cycle duration is obtained to obtain the power generation duration ratio of the first equipment cycle to the power generation duration ratio of the ath equipment cycle;

[0214] The low-carbon assessment coefficient of the second building is obtained by calculating the average power generation power of the first equipment cycle to the average power generation power of the ath equipment cycle and the power generation time ratio of the first equipment cycle to the power generation time ratio of the ath equipment cycle;

[0215] The low-carbon assessment coefficient of the second building is calculated using the following formula:

[0216] Jpx2=Glz1×Scb1+Glz2×Scb2+……+Glza×Scba;

[0217] Among them, Jpx2 is the low-carbon assessment coefficient of the second building, Glz1 to Glza are respectively the average power generation power of the first equipment cycle to the average power generation power of the ath equipment cycle, and Scb1 to Scba are respectively the power generation time ratio of the first equipment cycle to the power generation time ratio of the ath equipment cycle;

[0218] The energy data module obtains the low-carbon assessment coefficient of the second building and transmits it to the low-carbon assessment module;

[0219] The building materials module analyzes the building materials of the target project and obtains the third building low-carbon assessment coefficient;

[0220] Obtain a list of building materials corresponding to the target building, and name the building materials involved in the list of building materials as first building material to bth building material respectively;

[0221] It should be noted here that:

[0222] The b involved here refers to the quantity value corresponding to the specific building material, and b is an integer greater than 0;

[0223] In the application, the building materials involved here are all decoration materials. The first building material involved here can be quartz sand for the facade, the second building material can be gypsum board, and the third building material can be latex paint;

[0224] According to the building materials list, the usage amounts of the first building material to the bth building material are respectively obtained to obtain the usage amounts of the first building material to the bth building material;

[0225] Conducting a low-carbon assessment on the first building material to obtain a low-carbon assessment coefficient of the first building material;

[0226] The details are as follows:

[0227] Select the first building material per unit mass as the low-carbon assessment monitoring sample;

[0228] See also Figure 3 , placing the low-carbon assessment monitoring sample in a sealed container of unit area, after the low-carbon assessment sample is left in the sealed container for a characteristic sealed monitoring time, collecting a unit volume of air sample in the sealed container as a building material monitoring air sample;

[0229] It should be noted here that:

[0230] The unit area involved here is 5m 2 , the characteristic closed monitoring time involved here is specifically 48 hours, and the unit mass involved here is specifically 100kg;

[0231] The first building material environmental monitoring index to the cth building material environmental monitoring index are respectively set, and the index contents corresponding to the first building material environmental monitoring index to the cth building material environmental monitoring index in the building material monitoring air sample are respectively obtained to obtain the first building material index content to the cth building material index content;

[0232] It should be noted here that:

[0233] The first building material environmental monitoring index involved here may be formaldehyde, the second building material environmental monitoring index may be benzene, and the third building material environmental monitoring index may be radon;

[0234] Respectively obtain the qualified index values ​​corresponding to the first building material environmental monitoring index to the c-th building material environmental monitoring index, and obtain the qualified index values ​​of the first building material to the c-th building material;

[0235] The first building material index content to the cth building material index content and the first building material qualified index value to the cth building material qualified index value are calculated to obtain the first building material low-carbon assessment coefficient;

[0236] The low-carbon assessment coefficient of the First Building Materials is obtained as follows:

[0237] Jtp1=|Zbh1-Zbj1|+|Zbh2-Zbj2|+……+|Zbhc-Zbjc|;

[0238] Among them, Jtp1 is the low-carbon assessment coefficient of the first building material, Zbh1 to Zbhc are the index contents of the first building material to the cth building material respectively, and Zbj1 to Zbjc are the qualified index values ​​of the cth building material respectively;

[0239] Perform low-carbon assessments on the second building material to the bth building material respectively to obtain low-carbon assessment coefficients of the second building material to the bth building material;

[0240] The third building low-carbon assessment coefficient is obtained by calculating the usage of the first building material to the usage of the bth building material and the low-carbon assessment coefficient of the first building material to the low-carbon assessment coefficient of the bth building material;

[0241] The low-carbon assessment coefficient of the third building is calculated as follows:

[0242] Jpx3=Jtp1×Syl1+Jtp2×Syl2+……+Jtpb×Sylb;

[0243] Among them, Jpx3 is the third building low-carbon assessment coefficient, Jtp1 to Jtpb are the first building material low-carbon assessment coefficient to the bth building material low-carbon assessment coefficient, and Syl1 to Sylb are the first building material usage to the bth building material usage;

[0244] The building material module obtains the low-carbon assessment coefficient of the third building and transmits it to the low-carbon assessment module;

[0245] The low-carbon assessment module calculates the building energy consumption low-carbon assessment coefficient according to the first building low-carbon assessment coefficient, the second building low-carbon assessment coefficient and the third building low-carbon assessment coefficient, obtains the building energy consumption low-carbon assessment coefficient threshold and compares it numerically with the building energy consumption low-carbon assessment coefficient, and performs low-carbon assessment on the target building according to the numerical comparison result;

[0246] Obtaining the low-carbon assessment coefficient of the first building, the low-carbon assessment coefficient of the second building, and the low-carbon assessment coefficient of the third building respectively;

[0247] The low-carbon assessment coefficient of the first building, the low-carbon assessment coefficient of the second building and the low-carbon assessment coefficient of the third building are calculated to obtain a low-carbon assessment coefficient of building energy consumption;

[0248] The low-carbon assessment coefficient of building energy consumption is calculated as follows:

[0249]

[0250] Among them, Jdp is the low-carbon assessment coefficient of building energy consumption, Jpx1 is the low-carbon assessment coefficient of the first building, Jpx2 is the low-carbon assessment coefficient of the second building, and Jpx3 is the low-carbon assessment coefficient of the third building;

[0251] Obtain the building energy consumption low-carbon assessment coefficient threshold and compare the building energy consumption low-carbon assessment coefficient numerically, and conduct a low-carbon assessment on the target building according to the numerical comparison result;

[0252] The details are as follows:

[0253] Obtaining a first building low-carbon assessment coefficient threshold, a second building low-carbon assessment coefficient threshold, and a third building low-carbon assessment coefficient threshold respectively;

[0254] The first building low-carbon assessment coefficient threshold, the second building low-carbon assessment coefficient threshold and the third building low-carbon assessment coefficient threshold are calculated to obtain a building energy consumption low-carbon assessment coefficient threshold;

[0255] It should be noted here that:

[0256] The first building low-carbon assessment coefficient threshold, the second building low-carbon assessment coefficient threshold and the third building low-carbon assessment coefficient threshold involved here are respectively the maximum first building low-carbon assessment coefficient, the maximum second building low-carbon assessment coefficient and the maximum third building low-carbon assessment coefficient corresponding to the qualified buildings for energy consumption low-carbon assessment;

[0257] The threshold of the building energy consumption low-carbon assessment coefficient is calculated using the following formula:

[0258]

[0259] Among them, Jdpy is the low-carbon assessment coefficient threshold of building energy consumption, Jpxy1 is the low-carbon assessment coefficient threshold of the first building, Jpxy2 is the low-carbon assessment coefficient threshold of the second building, and Jpxy3 is the low-carbon assessment coefficient threshold of the third building;

[0260] When the building energy consumption low-carbon assessment coefficient is less than or equal to the building energy consumption low-carbon assessment coefficient threshold, the target building energy consumption low-carbon assessment is qualified;

[0261] When the building energy consumption low-carbon assessment coefficient is greater than the building energy consumption low-carbon assessment coefficient threshold, the target building energy consumption low-carbon assessment is qualified;

[0262] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.

Claims

1. A low-carbon assessment method for building energy consumption based on building material transformation, characterized in that: The specific steps include: Step S1: Obtain the building area index value and the active population index value corresponding to the target building, and obtain the first building low-carbon assessment coefficient by analyzing the building area index value and the active population index value corresponding to the target building; Step S2: Obtain the building energy monitoring cycle, obtain the power equipment that can generate new energy in the target building, obtain multiple power equipment, obtain the equipment cycle average power generation and equipment cycle average power generation of each power equipment in the building energy monitoring cycle, and obtain the second building low-carbon assessment coefficient by analyzing the multiple equipment cycle average power generation and equipment cycle average power generation; Step S3: Obtain a list of building materials corresponding to the target building, name the building materials in the list of building materials as the first building material to the bth building material, respectively obtain the building material usage and the building material low-carbon assessment coefficient corresponding to each building material, and obtain the third building low-carbon assessment coefficient by analyzing multiple building material usage and building material low-carbon assessment coefficients; Step S4: Calculate the building energy consumption low-carbon assessment coefficient according to the first building low-carbon assessment coefficient, the second building low-carbon assessment coefficient and the third building low-carbon assessment coefficient, obtain the building energy consumption low-carbon assessment coefficient threshold and compare it numerically with the building energy consumption low-carbon assessment coefficient, and perform low-carbon assessment on the target building according to the numerical comparison result.

2. A low-carbon building energy consumption assessment method based on building material transformation according to claim 1, characterized in that: The step S1 further includes the following specific steps: Step S11: Analyze the building area of ​​the target building to obtain the building area index value corresponding to the target building; Step S12: Analyze the active population of the target building to obtain the active population index value corresponding to the target building; Step S13: Calculate the active population index value and the building area index value corresponding to the target building to obtain a first building low-carbon assessment coefficient; The low-carbon assessment coefficient of the first building is calculated using the following formula: Among them, Jpx1 is the low-carbon assessment coefficient of the first building, Jsm is the active population index value corresponding to the target building, and Rkz is the active population index value corresponding to the target building.

3. A low-carbon building energy consumption assessment method based on building material transformation according to claim 2, characterized in that: The step S11 further includes the following specific steps: Step S111: Obtaining a region map corresponding to the region where the target building is located, and obtaining a target region map; Step S112: acquiring the floor area of ​​the target building according to the target area map to obtain the floor area value of the target building; Step S113: obtaining the internal plan of the building corresponding to the target building, obtaining the single-story building area value corresponding to the target building according to the internal plan of the building, obtaining the single-story area value of the target building, obtaining the number of floors corresponding to the target building, obtaining the number of floors of the target building, calculating the product of the single-story area value of the target building and the number of floors of the target building, and obtaining the internal area value of the target building; Step S114: In the target building, the building face where the building gate is located is marked as the first building face, the face opposite to the first building face is marked as the second building face, the left side of the first building face is marked as the third building face, the right side of the first building face is marked as the fourth building face, and the face where the top of the target building is located is marked as the fifth building face, and the projection area values ​​corresponding to the first building face to the fifth building face are respectively obtained to obtain the first projection area value to the fifth projection area value, and the first projection area value to the fifth projection area value are summed to obtain the target facade area value; Step S115: Calculate the target facade area value, the target building internal area value and the target building floor area value to obtain the building area index value corresponding to the target building; Calculate the building area index value corresponding to the target building. The specific formula is as follows: Jsm = Wlm + Nbm + Zdm; Among them, Jsm is the building area index value corresponding to the target building, Wlm is the target facade area value, Nbm is the target building internal area value, and Zdm is the target building floor area value.

4. A low-carbon building energy consumption assessment method based on building material transformation according to claim 2, characterized in that: The step S12 further includes the following specific steps: step S121: During the period of population analysis of the target building, a number of population monitoring time points are randomly selected to obtain a plurality of population monitoring time points, and the time intervals between each two consecutive population monitoring time points are equal; Step S122: acquiring the population value inside the target building at each population monitoring time point to obtain a plurality of monitored population value; Step S123: Calculate the average of multiple monitored population values ​​to obtain the average value of the monitored population; Step S124: performing variance calculation on multiple monitored population quantity values ​​to obtain monitored population variance; Step S125: Calculate the average value of the monitored population and the variance of the monitored population to obtain the active population index value corresponding to the target building; Calculate the active population index value corresponding to the target building. The specific formula is as follows: Rkz=Rpj+Rpj×(1+Rfc); Among them, Rkz is the active population index value corresponding to the target building, Rpj is the average value of the monitored population, and Rfc is the variance of the monitored population.

5. A low-carbon building energy consumption assessment method based on building material transformation according to claim 1, characterized in that: The step S2 further includes the following specific steps: Step S21: Acquire the time value corresponding to the current moment to obtain a first energy monitoring time point, mark the time point corresponding to an energy monitoring duration before the first energy monitoring time point as a second energy monitoring time point, and mark the first energy monitoring time point and the second energy monitoring time point as a building energy monitoring cycle; Step S22: acquiring power equipment capable of generating new energy in the target building, and naming the acquired power equipment as first power equipment to ath power equipment respectively; Step S23: respectively obtaining the power generation time ratio of the first device cycle to the power generation time ratio of the a-th device cycle and the average power generation power of the first device cycle to the average power generation power of the a-th device cycle; Step S24: Calculate the second building low-carbon assessment coefficient by dividing the average power generation power of the first equipment cycle to the average power generation power of the ath equipment cycle and the power generation time ratio of the first equipment cycle to the power generation time ratio of the ath equipment cycle; The low-carbon assessment coefficient of the second building is calculated using the following formula: Jpx2=Glz1×Scb1+Glz2×Scb2+……+Glza×Scba; Among them, Jpx2 is the low-carbon assessment coefficient of the second building, Glz1 to Glza are the average power generation power of the first equipment cycle to the average power generation power of the ath equipment cycle, and Scb1 to Scba are the power generation time ratio of the first equipment cycle to the power generation time ratio of the ath equipment cycle.

6. A low-carbon building energy consumption assessment method based on building material transformation according to claim 5, characterized in that: The step S23 further includes the following specific steps: Step S231: within the building energy monitoring cycle, randomly mark a number of equipment power monitoring points, obtain the power generation value corresponding to each equipment power monitoring point of the first power equipment, obtain a plurality of monitoring power generation values, and average the obtained plurality of power generation values ​​to obtain the first equipment period average power generation; Step S232: respectively acquiring the average power generation of the second power equipment to the ath power equipment in the building energy monitoring cycle, and obtaining the average power generation of the second equipment cycle to the average power generation of the ath equipment cycle; Step S233: respectively obtaining the effective power generation duration of the first power device to the ath power device within the building energy monitoring cycle, and obtaining the power generation duration of the first device cycle to the ath device cycle; Step S234: numerically obtain the time length corresponding to the building energy monitoring cycle to obtain the monitoring cycle length, and respectively obtain the ratio of the first equipment cycle power generation time to the ath equipment cycle power generation time to the monitoring cycle length to obtain the first equipment cycle power generation time ratio to the ath equipment cycle power generation time ratio.

7. A low-carbon building energy consumption assessment method based on building material transformation according to claim 1, characterized in that: The step S3 further includes the following specific steps: Step S31: Obtain a list of building materials corresponding to the target building, and name the building materials involved in the list of building materials as first building materials to bth building materials respectively; Step S32: acquiring the usage amounts of the first building material to the bth building material respectively according to the building material list to obtain the usage amounts of the first building material to the bth building material; Step S33: Perform a low-carbon assessment on the first building material to obtain a low-carbon assessment coefficient of the first building material; Step S34: performing low-carbon assessment on the second building material to the b-th building material respectively to obtain low-carbon assessment coefficients of the second building material to the b-th building material; Step S35: Calculate the usage of the first building material to the bth building material and the low-carbon assessment coefficient of the first building material to the bth building material to obtain a third building low-carbon assessment coefficient; The low-carbon assessment coefficient of the third building is calculated as follows: Jpx3=Jtp1×Syl1+Jtp2×Syl2+……+Jtpb×Sylb; Among them, Jpx3 is the third building low-carbon assessment coefficient, Jtp1 to Jtpb are the first building material low-carbon assessment coefficient to the bth building material low-carbon assessment coefficient, and Syl 1 to Sylb are the first building material usage to the bth building material usage.

8. A low-carbon building energy consumption assessment method based on building material transformation according to claim 7, characterized in that: The step S33 further includes the following specific steps: Step S331: selecting a first building material per unit mass as a low-carbon assessment monitoring sample; Step S332: placing the low-carbon assessment monitoring sample in a sealed container of unit area, and after the low-carbon assessment sample is left in the sealed container for a characteristic sealed monitoring time, collecting an air sample of unit volume in the sealed container as a building material monitoring air sample; Step S333: respectively setting the first building material environmental monitoring index to the cth building material environmental monitoring index, respectively obtaining the index contents corresponding to the first building material environmental monitoring index to the cth building material environmental monitoring index in the building material monitoring air sample, and obtaining the first building material index contents to the cth building material index contents; Step S334: respectively obtaining the qualified index values ​​corresponding to the first building material environmental monitoring index to the c-th building material environmental monitoring index, and obtaining the qualified index values ​​of the first building material to the c-th building material; Step S335: Calculate the first building material low-carbon assessment coefficient by combining the first building material index content to the c-th building material index content and the first building material qualified index value to the c-th building material qualified index value; The low-carbon assessment coefficient of the First Building Materials is obtained as follows: Jtp1=|Zbh1-Zbj1|+|Zbh2-Zbj2|+……+|Zbhc-Zbjc|; Among them, Jtp1 is the low-carbon assessment coefficient of the first building material, Zbh1 to Zbhc are the index contents of the first building material to the cth building material respectively, and Zbj1 to Zbjc are the qualified index values ​​of the cth building material respectively.

9. A low-carbon building energy consumption assessment method based on building material transformation according to claim 1, characterized in that: The step S4 further includes the following specific steps: Step S41: respectively obtaining a first building low-carbon assessment coefficient, a second building low-carbon assessment coefficient, and a third building low-carbon assessment coefficient; Step S42: Calculate the first building low-carbon assessment coefficient, the second building low-carbon assessment coefficient, and the third building low-carbon assessment coefficient to obtain a building energy consumption low-carbon assessment coefficient; The low-carbon assessment coefficient of building energy consumption is calculated as follows: Among them, Jdp is the low-carbon assessment coefficient of building energy consumption, Jpx1 is the low-carbon assessment coefficient of the first building, Jpx2 is the low-carbon assessment coefficient of the second building, and Jpx3 is the low-carbon assessment coefficient of the third building; Step S43: Obtain a building energy consumption low-carbon assessment coefficient threshold value and compare it with the building energy consumption low-carbon assessment coefficient, and perform a low-carbon assessment on the target building according to the comparison result.

10. A low-carbon building energy consumption assessment method based on building material transformation according to claim 9, characterized in that: The step S43 further includes the following specific steps: Step S431: respectively obtaining a first building low-carbon assessment coefficient threshold, a second building low-carbon assessment coefficient threshold, and a third building low-carbon assessment coefficient threshold; Step S432: Calculate the first building low-carbon assessment coefficient threshold, the second building low-carbon assessment coefficient threshold, and the third building low-carbon assessment coefficient threshold to obtain a building energy consumption low-carbon assessment coefficient threshold; Step S433: When the building energy consumption low-carbon assessment coefficient is less than or equal to the building energy consumption low-carbon assessment coefficient threshold, the target building energy consumption low-carbon assessment is qualified; Step S434: When the building energy consumption low-carbon assessment coefficient is greater than the building energy consumption low-carbon assessment coefficient threshold, the target building energy consumption low-carbon assessment is qualified.

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