CN117422346B - Building information management system based on BIM technology - Google Patents
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Abstract
The invention relates to the technical field of building information management, in particular to a building information management system based on BIM technology, which comprises: the system comprises a building model construction module, a building parameter analysis module, a convection effect analysis module, an indoor air quality analysis module, a building information management module, a processing terminal and a database. The building quality evaluation coefficients of the residential buildings corresponding to the houses are analyzed, and therefore all qualified houses and all unqualified houses in the residential buildings are obtained through analysis, and corresponding treatment is carried out, so that not only can enough fresh air in indoor air be ensured to enter, pollutants and harmful gases are removed, the indoor air quality is maintained, but also important purposes and significance are achieved for maintaining the indoor air quality, providing comfortable indoor environment and ensuring the health of the residents, a healthier and more comfortable living environment is further provided for resident, and the living quality of the residents is greatly improved.
Description
Technical Field
The invention relates to the technical field of building information management, in particular to a building information management system based on BIM technology.
Background
BIM (building information model) technology plays a vital role in a building information management system, can be applied to analysis of energy efficiency and analysis of building illumination, can analyze ventilation effect of a building, and is beneficial to optimizing performance of the building and improving sustainability of the building. Because the residential building is a house source for selling fine decoration at present, the building ventilation effect in the building information needs to be managed based on the BIM technology.
The existing housing ventilation effect evaluation is generally based on the layout of the housing and the monitoring of the air quality in the housing to carry out comprehensive evaluation, the convection effect of the housing is neglected to evaluate, so that the housing ventilation effect evaluation has one-sidedness, the follow-up improvement of the air quality in the housing is not facilitated, and a healthier and more comfortable living environment cannot be provided for the housing.
Disclosure of Invention
In view of the above-mentioned technical shortcomings, it is an object of the present invention to provide a building information management system based on the BIM technology.
The aim of the invention can be achieved by the following technical scheme: building information management system based on BIM technique includes: the building model construction module is used for carrying out three-dimensional space scanning on the residential building, constructing a building model corresponding to the residential building based on the three-dimensional space scanning, acquiring the building model corresponding to each housing of the residential building from the building model corresponding to the residential building, and obtaining the shielding index corresponding to each housing of the residential building based on the analysis of the building model corresponding to each housing of the residential building; preferably, the shielding index of the residential building corresponding to each house is obtained based on the analysis of the building model of the residential building corresponding to each house, and the specific analysis steps are as follows: acquiring the floors of the residential buildings corresponding to the houses from the building model of the residential buildings corresponding to the houses, and marking the floors as LC i I is the number of each house, i=1, 2, & gt, n, i is a positive integer, n is the total number of the house numbers, and meanwhile, the building corresponding to each house in the district building is obtained, and then the highest floor corresponding to the building in each house in the district building is obtained and marked as LG i The method comprises the steps of carrying out a first treatment on the surface of the Obtaining the distance between each building corresponding to each living in the district building and each building adjacent to the periphery from the building model corresponding to each house in the district building, and taking the distance as the distance between each building corresponding to each adjacent building in the district building, and recording as JG i f F represents the number of each adjacent building, f=1, 2, r, f is a positive integer, r represents the total number of adjacent building numbersThe method comprises the steps of carrying out a first treatment on the surface of the According to the formulaCalculating the shielding index ZD of each housing corresponding to the district building i E is a natural constant, a1 and a3 are set weight factors, a1+a3=1, a1 and a3 are both greater than 0, a2 is a set correction factor, a2 is greater than 0 and less than 1, and JG is set 0 Denoted as the set reference building spacing.
The building parameter analysis module is used for analyzing the building parameters of the corresponding houses of the district building based on the building model of the corresponding houses of the district building, analyzing the basic ventilation effect evaluation index of each house in the district building based on the building parameters of the corresponding houses of the district building, and obtaining the basic ventilation effect evaluation index of the corresponding houses of the district building; preferably, the building parameters of the residential building corresponding to each house are obtained based on the analysis of the building model of the residential building corresponding to each house, and the specific analysis mode is as follows: acquiring the number of windows corresponding to each housing of a residential building from a building model corresponding to each housing of the residential building, and acquiring the installation area and the installation type of each window corresponding to each housing in the residential building;
matching the installation type of each window corresponding to each housing in the district building with the window-opening area occupation ratio corresponding to each window installation type stored in the database to obtain the window-opening area occupation ratio corresponding to each window of each housing in the district building; multiplying the ratio of the area occupied by the openable window corresponding to each window in each living room in the district building with the installation area of the corresponding window to obtain the openable window area of each window corresponding to each living room in the district building; the number of windows corresponding to each housing in the district building and the installation area of each window corresponding to each housing in the district building and the openable window area form the building parameters corresponding to each housing in the district building.
Preferably, the basic ventilation effect evaluation index of each housing in the residential building is analyzed based on the building parameters of the residential building corresponding to each housing, so as to obtain the basic ventilation effect evaluation index of the residential building corresponding to each housing, wherein the specific analysis mode is as follows: extracting windows of each housing corresponding to the district building from building parameters of each housing corresponding to the district buildingThe number of households, denoted CN i And extracting the installation area and openable window area of each housing corresponding to each window in the district building, respectively recorded AS AS i j 、KS i j J represents the number of each window, j=1, 2,..m, j is a positive integer, m represents the total number of window numbers; according to the formulaCalculating basic ventilation effect evaluation index JT of each housing corresponding to the district building i A4, a6, a7 are represented as set weighting factors, a4+a6+a7=1, a4, a6, a7 are all greater than 0, a5 is represented as set correction factors, a5 is greater than 0 and less than 1.
The system comprises a convection effect analysis module, a database and a control module, wherein the convection effect analysis module is used for testing the indoor air flow rate of each housing in a residential building under each wind direction in a set test mode to obtain the indoor air flow rate of each housing in the residential building under each wind direction in each wind direction, analyzing the indoor air flow rate of each housing in the residential building under each wind direction to obtain a wind power parameter set corresponding to each housing in the residential building based on the indoor air flow rate of each housing in the residential building under each wind direction, acquiring historical wind direction parameters corresponding to the residential building from the database, and further analyzing a convection effect evaluation index corresponding to each housing in the residential building to obtain a convection effect evaluation index corresponding to each housing in the residential building; preferably, based on the analysis of the indoor air flow velocity of each housing in each wind direction and each wind power level in each housing in the housing, a wind power parameter set corresponding to each housing in the housing is obtained, and the specific analysis steps are as follows: matching the indoor air flow rate of each house in the district building under each wind direction with a set suitable indoor air flow rate interval, and if the indoor air flow rate corresponding to a certain wind direction under a certain wind direction is successfully matched with the suitable indoor air flow rate interval, marking the wind direction under the wind direction as a first-level wind power grade corresponding to a first-level wind direction, so as to form a first-level wind power parameter corresponding to each house in the district building; if the matching of the indoor air flow rate corresponding to a certain wind power level in a certain wind direction and the proper indoor air flow rate interval fails, comparing the indoor air flow rate corresponding to the wind power level in the wind direction with the minimum proper indoor air flow rate in the set proper indoor air flow rate interval, and if the indoor air flow rate corresponding to the wind power level in the wind direction is smaller than the minimum proper indoor air flow rate in the set proper indoor air flow rate interval, marking the wind power level in the wind direction as a secondary wind power level corresponding to a secondary wind direction to form a secondary wind power parameter corresponding to each housing in a residential building; otherwise, the wind power grade under the wind direction is recorded as a three-level wind power grade corresponding to the three-level wind direction, and three-level wind power parameters corresponding to each housing in the district building are formed; the primary wind power parameter, the secondary wind power parameter and the tertiary wind power parameter corresponding to each housing in the residential building are obtained through statistics, and then a wind power parameter set corresponding to each housing in the residential building is formed.
Preferably, the convection effect evaluation index corresponding to each living room in the district building is analyzed to obtain the convection effect evaluation index corresponding to each living room in the district building, and the specific analysis steps are as follows: extracting first-level wind power parameters corresponding to each housing in the district building from a wind power parameter set corresponding to each housing in the district building, extracting wind power levels corresponding to each first-level wind direction in each housing in the district building from the first-level wind power parameters, extracting the occurrence rate of each first-level wind power level in each housing in the district building corresponding to each first-level wind direction from the occurrence rate of each first-level wind power level in each wind direction in the district building, further summing the occurrence rate of each first-level wind power level in each housing in the district building corresponding to each first-level wind direction, obtaining the occurrence rate of each first-level wind power parameter corresponding to each housing in the district building, and recording as YJ i The method comprises the steps of carrying out a first treatment on the surface of the Similarly, analyzing and obtaining the occurrence rate EJ of the secondary wind power parameters corresponding to each housing in the district building i Occurrence rate SJ of three-level wind power parameters corresponding to each living room in district building i The method comprises the steps of carrying out a first treatment on the surface of the According to formula DL i =YJ i ×b1+EJ i ×b2+SJ i ×b3+ZD i Calculating a convection effect evaluation index DL corresponding to each living room in the district building by using Xb 4 i B1, b2, b3, b4 are expressed as set weighting factors, b1, b2, b3, b4 are all greater than 0 and less than 1, b1+b2+b3+b4=1.
The indoor air quality analysis module is used for detecting the indoor air quality parameters of the residential buildings corresponding to the houses to obtain the indoor air quality parameters of the residential buildings corresponding to the houses, and analyzing the indoor air quality evaluation indexes of the residential buildings corresponding to the houses to obtain the indoor air quality evaluation indexes of the residential buildings corresponding to the houses; preferably, the indoor air quality parameters of the residential buildings corresponding to the houses are detected to obtain the indoor air quality parameters of the residential buildings corresponding to the houses, and the specific detection mode is as follows: detecting indoor air quality parameters of the residential buildings corresponding to the houses through set equipment to obtain the indoor air quality parameters of the residential buildings corresponding to the houses, wherein the indoor air quality parameters comprise: particulate matter concentration, volatile organic compound concentration, carbon monoxide concentration, carbon dioxide concentration, and humidity.
Preferably, the indoor air quality evaluation indexes of the residential buildings corresponding to the houses are analyzed to obtain the indoor air quality evaluation indexes of the residential buildings corresponding to the houses, and the specific analysis mode is as follows: extracting the concentration KN of particles corresponding to each housing of a residential building from the indoor air quality parameters corresponding to each housing of the residential building i Concentration of volatile organic compound HN in each housing i Carbon monoxide concentration YN of each house i Carbon dioxide concentration EN of each house i And humidity SD of each house i The method comprises the steps of carrying out a first treatment on the surface of the According to formula KZ i =(1/KN i )×c1+(1/HN i )×c2+(1/YN i )×c3+(1/EN i )×c4+1/(|SD i －SD 0 |+1)×c5+ZD i Calculating indoor air quality evaluation index KZ of residential building corresponding to each house by using Xc 6 i ，SD 0 Denoted as set reference indoor humidity, c1, c2, c3, c4, c5, c6 are denoted as set weighting factors, c1, c2, c3, c4, c5, c6 are all greater than 0 and less than 1, c1+c2+c3+c4+c5+c6=1.
The building information analysis module is used for analyzing the building quality evaluation coefficients of the residential buildings corresponding to the houses based on the basic ventilation effect evaluation index, the convection effect evaluation index and the indoor air quality evaluation index of the residential buildings corresponding to the houses to obtain the building quality evaluation coefficients of the residential buildings corresponding to the houses; preferably, the residential building corresponds to each housingThe quality evaluation coefficients are analyzed to obtain the building quality evaluation coefficients of the residential buildings corresponding to each house, wherein the specific analysis mode is that according to the formula ZP i =JT i ×d1+DL i ×d2+KZ i Calculating building quality evaluation coefficient ZP of residential building corresponding to each house by using x d3 i D1, d2, d3 are expressed as set weighting factors, d1, d2, d3 are all greater than 0 and less than 1, d1+d2+d3=1.
The building information management module is used for comparing the building quality evaluation coefficient of each housing corresponding to the residential building with a set building quality evaluation coefficient threshold value, if the building quality evaluation coefficient of a certain housing is smaller than the building quality evaluation coefficient threshold value, marking the housing as a disqualified housing, otherwise, marking the housing as a qualified housing, thereby obtaining each qualified housing and each disqualified housing corresponding to the residential building, and sending the qualified housing and each disqualified housing to the processing terminal; the processing terminal is used for receiving all qualified houses and all unqualified houses corresponding to the residential buildings sent by the building information management module and correspondingly processing the houses; and the database is used for storing the window installation type corresponding window opening area occupation ratio and the historical wind direction parameters corresponding to the district building.
The invention has the beneficial effects that: according to the invention, through constructing the building model of the residential building and analyzing the shielding index of each house in the residential building, reliable data support is provided for subsequent analysis of the basic ventilation effect evaluation index, the convection effect evaluation index and the indoor air quality evaluation index of each house, meanwhile, the influence of the geographic position of each house on the ventilation quality of the house is comprehensively considered, and the effectiveness and the scientificity of building information management are greatly improved.
According to the invention, the number of windows of each housing, the installation area of each window and the openable window area in the residential building are analyzed, so that the basic ventilation effect of the residential building corresponding to each housing is analyzed based on the number of windows, the natural ventilation effect of each housing is conveniently and intuitively known, the energy consumption caused by mechanical ventilation can be saved, the indoor and outdoor gas exchange can be realized, and the indoor air quality is favorably improved.
According to the invention, through carrying out simulated wind power test on each housing in the residential building, the indoor air flow velocity of each housing in the residential building under each wind direction at each wind level is obtained, and the convection effect evaluation index corresponding to each housing in the residential building is obtained by combining with the historical wind direction parameter analysis corresponding to the residential building, so that the ventilation performance of each housing in the residential building under different seasons and weather conditions is determined, the phenomenon that the analysis result is inaccurate due to seasonal wind direction analysis is avoided, and the reliability of the analysis result of the convection effect of the housing is greatly improved.
According to the invention, the indoor air quality parameters of the residential buildings corresponding to the houses are detected, so that the indoor air quality evaluation index of the residential buildings corresponding to the houses is obtained through analysis, and visual data is provided for the analysis of the quality of the subsequent housing buildings.
According to the invention, the building quality evaluation coefficients of the residential buildings corresponding to all houses are analyzed, so that all qualified houses and all unqualified houses in the residential buildings are obtained through analysis, and then corresponding treatment is performed, so that not only can enough fresh air in indoor air be ensured to enter, pollutants and harmful gases are removed, the indoor air quality is maintained, but also important purposes and significance are provided for maintaining the indoor air quality, providing comfortable indoor environment and ensuring the health of the residents, a healthier and more comfortable living environment is further provided for resident of the houses, and the living quality of the residents is greatly improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a system module connection of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is a building information management system based on BIM technology, including: the system comprises a building model construction module, a building parameter analysis module, a convection effect analysis module, an indoor air quality analysis module, a building information management module, a processing terminal and a database.
The building model construction module is used for carrying out three-dimensional space scanning on the residential building, constructing a building model corresponding to the residential building based on the three-dimensional space scanning, acquiring the building model corresponding to each housing of the residential building from the building model corresponding to the residential building, and analyzing the shielding index corresponding to each housing of the residential building based on the building model corresponding to each housing of the residential building, wherein the analysis steps are as follows: acquiring the floors of the residential buildings corresponding to the houses from the building model of the residential buildings corresponding to the houses, and marking the floors as LC i I is the number of each house, i=1, 2, & gt, n, i is a positive integer, n is the total number of the house numbers, and meanwhile, the building corresponding to each house in the district building is obtained, and then the highest floor corresponding to the building in each house in the district building is obtained and marked as LG i The method comprises the steps of carrying out a first treatment on the surface of the Obtaining the distance between each building corresponding to each living in the district building and each building adjacent to the periphery from the building model corresponding to each house in the district building, and taking the distance as the distance between each building corresponding to each adjacent building in the district building, and recording as JG i f F represents the number of each adjacent building, f=1, 2, r, f is a positive integer, r represents the total number of adjacent building numbers; according to the formulaCalculating the shielding index ZD of each housing corresponding to the district building i E is expressed as a natural constant, a1 and a3 are expressed as set weight factors, a1+a3=1, a1 and a3 are both larger than 0, a2 is expressed as set correction factors, a2 is larger than 0 and smaller than 1, and jg 0 Denoted as the set reference building spacing.
The lower the corresponding floor of the house, the larger the shielding index of the house, and the shorter the distance between corresponding floors of the house, the larger the shielding index of the house.
The building parameter analysis module is used for obtaining building parameters of each housing corresponding to the district building based on the building model analysis of each housing corresponding to the district building, and the specific analysis mode is as follows: acquiring the number of windows corresponding to each housing of a residential building from a building model corresponding to each housing of the residential building, and acquiring the installation area and the installation type of each window corresponding to each housing in the residential building; matching the installation type of each window corresponding to each housing in the district building with the window-opening area occupation ratio corresponding to each window installation type stored in the database to obtain the window-opening area occupation ratio corresponding to each window of each housing in the district building; notably, the windowable area ratio is specifically: the ratio of the installed area of the window to the openable area of the window.
Multiplying the ratio of the area occupied by the openable window corresponding to each window in each living room in the district building with the installation area of the corresponding window to obtain the openable window area of each window corresponding to each living room in the district building; the number of windows corresponding to each housing in the district building and the installation area of each window corresponding to each housing in the district building and the openable window area form the building parameters corresponding to each housing in the district building.
Analyzing the basic ventilation effect evaluation index of each housing in the residential building based on the building parameters of the residential building corresponding to each housing to obtain the basic ventilation effect evaluation index of the residential building corresponding to each housing, wherein the specific analysis mode is as follows: extracting the number of windows of each housing corresponding to the district building from the building parameters of each housing corresponding to the district building, and marking the number as CN i And extracting the installation area and openable window area of each housing corresponding to each window in the district building, respectively recorded AS AS i j 、KS i j J represents the number of each window, j=1, 2,..m, j is a positive integer, m represents the total number of window numbers; according to the formulaCalculating basic ventilation effect evaluation index JT of each housing corresponding to the district building i A4, a6, a7 are represented as set weight factors, a4+a6+a7=1, and a4, a6, a7 are all greater than 0, a5 is represented as set correction factor, and a5Greater than 0 and less than 1.
The number of windows corresponding to each housing of the residential building is normalized, and then the value is taken and substituted into a basic ventilation effect evaluation index calculation formula corresponding to each housing of the residential building.
The convection effect analysis module is used for testing the indoor air flow velocity of each wind level of each house in the district building in each wind direction by setting a test mode to obtain the indoor air flow velocity of each wind level of each house in the district building in each wind direction; in a specific embodiment, the indoor air flow rate of each wind level of each house in the residential building in each wind direction is tested by setting a test mode, so as to obtain the indoor air flow rate of each wind level of each house in the residential building in each wind direction, and the specific test mode is as follows: wind power simulation is carried out on each housing in the district building according to wind power of each wind power level corresponding to each wind direction through CFD software, and indoor air flow rates of each housing in the district building under each wind power level under each wind direction are detected through an air flow rate sensor, so that indoor air flow rates of each housing in the district building under each wind power level under each wind direction are obtained.
Based on the analysis of the indoor air flow velocity of each housing in each wind direction and each wind power level in the residential building, a wind power parameter set corresponding to each housing in the residential building is obtained, and the specific analysis steps are as follows: 1-1: matching the indoor air flow rate of each house in each wind direction of each wind power level with a set suitable indoor air flow rate interval, if the indoor air flow rate corresponding to a certain wind power level in a certain wind direction is successfully matched with the suitable indoor air flow rate interval, executing 1-2, and if the indoor air flow rate corresponding to a certain wind power level in a certain wind direction is failed to be matched with the suitable indoor air flow rate interval, executing 1-3;1-2: the wind power grade under the wind direction is recorded as a first-level wind power grade corresponding to a first-level wind direction, and a first-level wind power parameter corresponding to each housing in the district building is formed; 1-3: comparing the indoor air flow rate corresponding to the wind power level in the wind direction with the minimum suitable indoor air flow rate in the set suitable indoor air flow rate interval, executing 1-4 if the indoor air flow rate corresponding to the wind power level in the wind direction is smaller than the minimum suitable indoor air flow rate in the set suitable indoor air flow rate interval, otherwise executing 1-5;1-4: the wind power grade under the wind direction is recorded as a secondary wind power grade corresponding to the secondary wind direction, and secondary wind power parameters corresponding to each housing in the district building are formed; 1-5: the wind power grade under the wind direction is recorded as a three-level wind power grade corresponding to the three-level wind direction, so that three-level wind power parameters corresponding to each housing in the district building are formed;
the primary wind power parameter, the secondary wind power parameter and the tertiary wind power parameter corresponding to each housing in the residential building are obtained through statistics, and then a wind power parameter set corresponding to each housing in the residential building is formed.
The method comprises the steps of obtaining historical wind direction parameters corresponding to a cell building from a database, wherein the historical wind direction parameters corresponding to the cell building are specifically the occurrence rate of each wind level of each wind direction corresponding to the cell building. And then analyzing the convection effect evaluation indexes corresponding to each living room in the district building to obtain the convection effect evaluation indexes corresponding to each living room in the district building, wherein the specific analysis steps are as follows: extracting first-level wind power parameters corresponding to each housing in the district building from a wind power parameter set corresponding to each housing in the district building, extracting wind power levels corresponding to each first-level wind direction in each housing in the district building from the first-level wind power parameters, extracting the occurrence rate of each first-level wind power level in each housing in the district building corresponding to each first-level wind direction from the occurrence rate of each first-level wind power level in each wind direction in the district building, further summing the occurrence rate of each first-level wind power level in each housing in the district building corresponding to each first-level wind direction, obtaining the occurrence rate of each first-level wind power parameter corresponding to each housing in the district building, and recording as YJ i The method comprises the steps of carrying out a first treatment on the surface of the Extracting secondary wind power parameters corresponding to each housing in the district building from a wind power parameter set corresponding to each housing in the district building, extracting each wind power level corresponding to each secondary wind direction in the district building from the secondary wind power parameters, extracting the occurrence rate of each secondary wind power level in each housing in the district building corresponding to each secondary wind direction from the occurrence rate of each wind power level in each wind direction in the district building, and summing the occurrence rates of each secondary wind power level in each housing in the district building corresponding to each secondary wind direction to obtain the district buildingThe occurrence rate of the corresponding secondary wind power parameter of each house is recorded as EJ i The method comprises the steps of carrying out a first treatment on the surface of the Extracting three-level wind power parameters corresponding to each housing in the district building from a wind power parameter set corresponding to each housing in the district building, extracting wind power levels corresponding to each three-level wind direction in the district building from the three-level wind power parameters, extracting the occurrence rate of each three-level wind power level in each three-level wind direction in the district building from the occurrence rate of each three-level wind direction in each wind direction in the district building, summing the occurrence rates of each three-level wind power level in each three-level wind direction in each housing in the district building to obtain the occurrence rate of each three-level wind power parameter in each housing in the district building, and recording as SJ i The method comprises the steps of carrying out a first treatment on the surface of the According to formula DL i =YJ i ×b1+EJ i ×b2+SJ i ×b3+ZD i Calculating a convection effect evaluation index DL corresponding to each living room in the district building by using Xb 4 i B1, b2, b3, b4 are expressed as set weighting factors, b1, b2, b3, b4 are all greater than 0 and less than 1, b1+b2+b3+b4=1.
It should be noted that the proper wind speed is critical to the hall effect. Excessive wind speeds may cause excessive ventilation, resulting in too rapid a drop in indoor temperature or uncomfortable indoor air. Too small wind speed easily causes unsmooth indoor air circulation, thereby affecting the health of resident personnel.
In a specific embodiment, the ventilation effect of the house can be intuitively reflected through the historical wind direction parameters and the simulated wind power test, the influence of seasonal wind directions on the ventilation effect test is avoided, and the natural ventilation of the house can be ensured to provide effective ventilation in different seasons.
The indoor air quality analysis module is used for detecting the indoor air quality parameters of the residential buildings corresponding to the houses to obtain the indoor air quality parameters of the residential buildings corresponding to the houses, and the specific detection mode is as follows:
detecting indoor air quality parameters of the residential buildings corresponding to the houses through set equipment to obtain the indoor air quality parameters of the residential buildings corresponding to the houses, wherein the indoor air quality parameters comprise: particulate matter concentration, volatile organic compound concentration, carbon monoxide concentration, carbon dioxide concentration, and humidity.
In a specific embodiment, the particle concentration of each housing in the residential building is detected by a particle counter to obtain the particle concentration of each diameter particle corresponding to each housing in the residential building, and the particle concentrations of each diameter particle are summed up to obtain the particle concentration corresponding to each housing in the residential building.
And detecting the concentration of the volatile organic compounds in each housing in the residential building through a volatile organic compound detector to obtain the concentration of the volatile organic compounds in each housing in the residential building.
The carbon monoxide concentration of each house in the district building is detected through a carbon monoxide detector to obtain the carbon monoxide concentration of each house in the district building, and the carbon dioxide concentration of each house in the district building is detected through a carbon dioxide detector to obtain the carbon dioxide concentration of each house in the district building.
And detecting the humidity of each housing corresponding to the residential building through a humidity sensor to obtain the humidity of each housing corresponding to the residential building.
The indoor air quality evaluation indexes corresponding to the houses of the residential building are analyzed, and the indoor air quality evaluation indexes corresponding to the houses of the residential building are obtained by the following specific analysis modes: extracting the concentration KN of particles corresponding to each housing of a residential building from the indoor air quality parameters corresponding to each housing of the residential building i Concentration of volatile organic compound HN in each housing i Carbon monoxide concentration YN of each house i Carbon dioxide concentration EN of each house i And humidity SD of each house i The method comprises the steps of carrying out a first treatment on the surface of the According to formula KZ i =(1/KN i )×c1+(1/HN i )×c2+(1/YN i )×c3+(1/EN i )×c4+1/(|SD i －SD 0 |+1)×c5+ZD i Calculating indoor air quality evaluation index KZ of residential building corresponding to each house by using Xc 6 i ，SD 0 Denoted as set reference indoor humidity, c1, c2, c3, c4, c5, c6 are denoted as set weighting factors, c1, c2, c3, c4, c5, c6 are all greater than 0 and less than 1, c1+c2+c3+c4+c5+c6=1.
The particulate matter concentration, the volatile organic compound concentration, the carbon monoxide concentration, the carbon dioxide concentration and the humidity corresponding to each housing of the residential building are normalized, and then the values are taken and substituted into a calculation formula of an indoor air quality evaluation index corresponding to each housing of the residential building for calculation.
The building information analysis module is used for analyzing the building quality evaluation coefficients of the residential buildings corresponding to the houses based on the basic ventilation effect evaluation index, the convection effect evaluation index and the indoor air quality evaluation index of the residential buildings corresponding to the houses to obtain the building quality evaluation coefficients of the residential buildings corresponding to the houses, and the concrete analysis mode is as follows: according to the formula ZP i =JT i ×d1+DL i ×d2+KZ i Calculating building quality evaluation coefficient ZP of residential building corresponding to each house by using x d3 i D1, d2, d3 are expressed as set weighting factors, d1, d2, d3 are all greater than 0 and less than 1, d1+d2+d3=1.
The building information management module is used for comparing the building quality evaluation coefficient corresponding to each housing of the residential building with a set building quality evaluation coefficient threshold, if the building quality evaluation coefficient of a housing is smaller than the building quality evaluation coefficient threshold, marking the housing as a disqualified housing, otherwise, marking the housing as a qualified housing, thereby obtaining each qualified housing and each disqualified housing corresponding to the residential building, and sending the qualified housing and the disqualified housing to the processing terminal.
The processing terminal is used for receiving all qualified houses and all unqualified houses corresponding to the residential buildings sent by the building information management module and correspondingly processing the houses, and the specific processing mode is as follows: the method comprises the steps of obtaining the positions of qualified houses corresponding to the residential buildings from the building models of the residential buildings corresponding to the houses, carrying out green light normal lighting on the positions of the qualified houses corresponding to the residential buildings based on the positions of the residential buildings corresponding to the building models of the houses, obtaining the positions of unqualified houses corresponding to the residential buildings from the building models of the residential buildings corresponding to the houses, and carrying out red light flashing on the positions of the unqualified houses corresponding to the residential buildings based on the positions of the unqualified houses corresponding to the residential buildings so as to remind related personnel to carry out mechanical ventilation treatment on the unqualified houses, thereby effectively guaranteeing the safety of the living environment corresponding to the houses in the residential buildings and reasonably guaranteeing the physical health of related personnel.
And the database is used for storing the window installation type corresponding window opening area occupation ratio and the historical wind direction parameters corresponding to the district building.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art of describing particular embodiments without departing from the structures of the invention or exceeding the scope of the invention as defined in the accompanying drawings are intended to be included within the scope of the invention.
Claims (4)
1. Building information management system based on BIM technique, characterized by comprising:
the building model construction module is used for carrying out three-dimensional space scanning on the residential building, constructing a building model corresponding to the residential building based on the three-dimensional space scanning, acquiring the building model corresponding to each housing of the residential building from the building model corresponding to the residential building, and obtaining the shielding index corresponding to each housing of the residential building based on the analysis of the building model corresponding to each housing of the residential building:
acquiring the floors of the residential buildings corresponding to the houses from the building model of the residential buildings corresponding to the houses, and marking the floors as LC i I is the number of each house, i=1, 2, & gt, n, i is a positive integer, n is the total number of the house numbers, and meanwhile, the building corresponding to each house in the district building is obtained, and then the highest floor corresponding to the building in each house in the district building is obtained and marked as LG i ；
Obtaining the distance between each building corresponding to each living in the district building and each building adjacent to the periphery from the building model corresponding to each house in the district building, and taking the distance as the distance between each building corresponding to each adjacent building in the district building, and recording as JG i f F represents the number of each adjacent building, f=1, 2, r, f is a positive integer, r represents the total number of adjacent building numbers;
according to the formulaCalculating the shielding index ZD of each housing corresponding to the district building i E is a natural constant, a1 and a3 are set weight factors, a1+a3=1, a1 and a3 are both greater than 0, a2 is a set correction factor, a2 is greater than 0 and less than 1, and JG is set 0 Expressed as a set reference building pitch;
the building parameter analysis module is used for analyzing the building parameters of the housing corresponding to the housing of the district based on the building model of the housing corresponding to the district, analyzing the basic ventilation effect evaluation index of the housing in the district based on the building parameters of the housing corresponding to the district, and obtaining the basic ventilation effect evaluation index of the housing corresponding to the district:
extracting the number of windows of each housing corresponding to the district building from the building parameters of each housing corresponding to the district building, and marking the number as CN i And extracting the installation area and openable window area of each housing corresponding to each window in the district building, respectively recorded AS AS i j 、KS i j J represents the number of each window, j=1, 2,..m, j is a positive integer, m represents the total number of window numbers;
according to the formulaCalculating basic ventilation effect evaluation index JT of each housing corresponding to the district building i A4, a6 and a7 are represented as set weight factors, a4+a6+a7=1, a4, a6 and a7 are all larger than 0, a5 is represented as set correction factors, and a5 is larger than 0 and smaller than 1;
the system comprises a convection effect analysis module, a database and a control module, wherein the convection effect analysis module is used for testing the indoor air flow rate of each housing in a residential building under each wind direction in a set test mode to obtain the indoor air flow rate of each housing in the residential building under each wind direction, analyzing the indoor air flow rate of each housing in the residential building under each wind direction to obtain a wind power parameter set corresponding to each housing in the residential building, and acquiring historical wind direction parameters corresponding to the residential building from the database, so as to analyze the convection effect evaluation index corresponding to each housing in the residential building and obtain the convection effect evaluation index corresponding to each housing in the residential building:
extracting first-level wind power parameters corresponding to each housing in the district building from a wind power parameter set corresponding to each housing in the district building, extracting wind power levels corresponding to each first-level wind direction in each housing in the district building from the first-level wind power parameters, extracting the occurrence rate of each first-level wind power level in each housing in the district building corresponding to each first-level wind direction from the occurrence rate of each first-level wind power level in each wind direction in the district building, further summing the occurrence rate of each first-level wind power level in each housing in the district building corresponding to each first-level wind direction, obtaining the occurrence rate of each first-level wind power parameter corresponding to each housing in the district building, and recording as YJ i ；
Similarly, analyzing and obtaining the occurrence rate EJ of the secondary wind power parameters corresponding to each housing in the district building i Occurrence rate SJ of three-level wind power parameters corresponding to each living room in district building i ；
According to formula DL i =YJ i ×b1+EJ i ×b2+SJ i ×b3+ZD i Calculating a convection effect evaluation index DL corresponding to each living room in the district building by using Xb 4 i B1, b2, b3, b4 are represented as set weight factors, b1, b2, b3, b4 are all greater than 0 and less than 1, b1+b2+b3+b4=1;
the indoor air quality analysis module is used for detecting the indoor air quality parameters of the residential buildings corresponding to the houses to obtain the indoor air quality parameters of the residential buildings corresponding to the houses, and analyzing the indoor air quality evaluation indexes of the residential buildings corresponding to the houses to obtain the indoor air quality evaluation indexes of the residential buildings corresponding to the houses:
extracting the concentration KN of particles corresponding to each housing of a residential building from the indoor air quality parameters corresponding to each housing of the residential building i Concentration of volatile organic compound HN in each housing i Carbon monoxide concentration YN of each house i Carbon dioxide concentration EN of each house i And humidity SD of each house i ；
According to formula KZ i =(1/KN i )×c1+(1/HN i )×c2+(1/YN i )×c3+(1/EN i )×c4+1/(|SD i －SD 0 |+1)×c5+ZD i Calculating indoor air quality evaluation index KZ of residential building corresponding to each house by using Xc 6 i ，SD 0 Denoted as set reference indoor humidity, c1, c2, c3, c4, c5, c6 are denoted as set weighting factors, c1, c2, c3, c4, c5, c6 are all greater than 0 and less than 1, c1+c2+c3+c4+c5+c6=1;
the building information analysis module is used for analyzing the building quality evaluation coefficients of the residential buildings corresponding to the houses based on the basic ventilation effect evaluation index, the convection effect evaluation index and the indoor air quality evaluation index of the residential buildings corresponding to the houses to obtain the building quality evaluation coefficients of the residential buildings corresponding to the houses:
according to the formula ZP i =JT i ×d1+DL i ×d2+KZ i Calculating building quality evaluation coefficient ZP of residential building corresponding to each house by using x d3 i D1, d2 and d3 are represented as set weight factors, wherein d1, d2 and d3 are all more than 0 and less than 1, d1+d2+d3=1;
the building information management module is used for comparing the building quality evaluation coefficient of each housing corresponding to the residential building with a set building quality evaluation coefficient threshold value, if the building quality evaluation coefficient of a certain housing is smaller than the building quality evaluation coefficient threshold value, marking the housing as a disqualified housing, otherwise, marking the housing as a qualified housing, thereby obtaining each qualified housing and each disqualified housing corresponding to the residential building, and sending the qualified housing and each disqualified housing to the processing terminal;
the processing terminal is used for receiving all qualified houses and all unqualified houses corresponding to the residential buildings sent by the building information management module and correspondingly processing the houses;
and the database is used for storing the window installation type corresponding window opening area occupation ratio and the historical wind direction parameters corresponding to the district building.
2. The building information management system based on the BIM technology according to claim 1, wherein the building model analysis based on the housing corresponding to the housing of the district building obtains the building parameters corresponding to the housing of the district building by the following specific analysis modes:
acquiring the number of windows corresponding to each housing of a residential building from a building model corresponding to each housing of the residential building, and acquiring the installation area and the installation type of each window corresponding to each housing in the residential building;
matching the installation type of each window corresponding to each housing in the district building with the window-opening area occupation ratio corresponding to each window installation type stored in the database to obtain the window-opening area occupation ratio corresponding to each window of each housing in the district building;
multiplying the ratio of the area occupied by the openable window corresponding to each window in each living room in the district building with the installation area of the corresponding window to obtain the openable window area of each window corresponding to each living room in the district building;
the number of windows corresponding to each housing in the district building and the installation area of each window corresponding to each housing in the district building and the openable window area form the building parameters corresponding to each housing in the district building.
3. The building information management system based on the BIM technology according to claim 1, wherein the analyzing step is that the indoor air flow rate of each housing in the residential building under each wind direction at each wind level is analyzed to obtain a wind power parameter set corresponding to each housing in the residential building, and the specific analyzing step is that:
matching the indoor air flow rate of each house in the district building under each wind direction with a set suitable indoor air flow rate interval, and if the indoor air flow rate corresponding to a certain wind direction under a certain wind direction is successfully matched with the suitable indoor air flow rate interval, marking the wind direction under the wind direction as a first-level wind power grade corresponding to a first-level wind direction, so as to form a first-level wind power parameter corresponding to each house in the district building;
if the matching of the indoor air flow rate corresponding to a certain wind power level in a certain wind direction and the proper indoor air flow rate interval fails, comparing the indoor air flow rate corresponding to the wind power level in the wind direction with the minimum proper indoor air flow rate in the set proper indoor air flow rate interval, and if the indoor air flow rate corresponding to the wind power level in the wind direction is smaller than the minimum proper indoor air flow rate in the set proper indoor air flow rate interval, marking the wind power level in the wind direction as a secondary wind power level corresponding to a secondary wind direction to form a secondary wind power parameter corresponding to each housing in a residential building; otherwise, the wind power grade under the wind direction is recorded as a three-level wind power grade corresponding to the three-level wind direction, and three-level wind power parameters corresponding to each housing in the district building are formed;
the primary wind power parameter, the secondary wind power parameter and the tertiary wind power parameter corresponding to each housing in the residential building are obtained through statistics, and then a wind power parameter set corresponding to each housing in the residential building is formed.
4. The building information management system based on the BIM technology according to claim 1, wherein the detecting the indoor air quality parameter of each housing corresponding to the residential building obtains the indoor air quality parameter of each housing corresponding to the residential building, and the specific detecting mode is as follows:
detecting indoor air quality parameters of the residential buildings corresponding to the houses through set equipment to obtain the indoor air quality parameters of the residential buildings corresponding to the houses, wherein the indoor air quality parameters comprise: particulate matter concentration, volatile organic compound concentration, carbon monoxide concentration, carbon dioxide concentration, and humidity.
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