A real estate evaluation method and device based on BIM

Abstract

The present application relates to the field of architectural BIM technology, and more specifically, to a real estate evaluation method and device based on BIM. The method comprises: obtaining the original data of the real estate according to the BIM model of the real estate, and quantitatively extracting various preset real estate intelligent factors according to the original data and obtaining the actual values ​​of the various intelligent factors; scoring the actual values ​​of the various intelligent factors respectively and calculating the total score of the real estate according to the scores corresponding to the various intelligent factors combined with the different weights of the various intelligent factors; valuing the real estate according to the reference price of the real estate and the total score to obtain the evaluation price of the real estate. The method can transform the real estate evaluation into computer automatic evaluation technology with the help of the BIM model, reduce the subjectivity of the evaluation, and realize intelligent evaluation, so as to achieve the purpose of more efficient and accurate evaluation of real estate to meet market demand.

Description

Technical Field

[0001] The present invention relates to the technical field of building BIM, and more specifically, to a real estate evaluation method and device based on BIM. Background Art

[0002] Real estate appraisal technology is a technology used to determine the value or price of real estate. It can provide reference for decision-making, determine asset value, assess risks, and provide a basis for taxation. It helps to improve the transparency and efficiency of transactions and effectively manage related risks. With the rapid development of urbanization, the evaluation of the real estate market has become increasingly important and complex. Traditional evaluation methods rely on subjective experience and simple drawings, and have certain technical deficiencies. For example, simple drawings cannot clearly present the interior space and surrounding environment of the building, which affects the appraiser's judgment on the overall situation of the real estate, and there is a lack of visual expression; data acquisition and processing based on subjective experience and simple drawings are relatively complex, requiring a lot of manpower and material resources, and are prone to errors, affecting the efficiency of the evaluation and the accuracy of the results, and there are deficiencies in data acquisition and processing.

[0003] The above-mentioned shortcomings of the existing technology limit the efficiency and accuracy of real estate evaluation. Therefore, it is necessary to change the real estate evaluation technology to adapt to the development of today's society. Summary of the invention

[0004] The present invention aims to overcome at least one defect (shortcoming) of the above-mentioned prior art and provide a real estate evaluation method and device based on BIM to achieve more efficient and accurate evaluation of real estate.

[0005] According to a first aspect of the present application, a BIM-based real estate evaluation method is provided, comprising:

[0006] Acquire the original data of the real estate according to the BIM model of the real estate, and quantitatively extract various preset intelligent factors of the real estate according to the original data and obtain the actual values ​​of the various intelligent factors;

[0007] Scoring the actual values ​​of each of the smart factors respectively and calculating the total score of the real estate according to the scores corresponding to each of the smart factors combined with the different weights of each of the smart factors;

[0008] The real estate is appraised according to the reference price of the real estate and the total score to obtain an assessed price of the real estate.

[0009] Optionally, the intelligent factor includes one or more of a landscape factor, a sunshine factor, a lighting factor, a ventilation factor and a noise factor.

[0010] Optionally, the actual value of the landscape factor is obtained by:

[0011] Acquire a landscape point of the real estate according to the BIM model, and acquire a visibility attribute value according to the landscape point;

[0012] According to the standard position preset in the BIM model, calculating the distance value between the standard position and the landscape point;

[0013] Acquire an actual value of a landscape factor according to the visibility attribute value and the distance value;

[0014] and / or,

[0015] The actual value of the sunshine factor is obtained by:

[0016] Acquire the latitude and longitude data of the real estate and the window attribute information of the real estate according to the BIM model;

[0017] Using the BIM model to simulate the sunshine condition of the real estate, and calculating the projection direction of sunlight according to the longitude and latitude data of the real estate and the window attribute information of the real estate combined with the sunshine condition of the real estate;

[0018] Determine the shadow distribution in the real estate according to the projection direction combined with the solar altitude angle and azimuth angle of the real estate location every day throughout the year; and record the duration of sunlight received by the windows in the real estate in a day, and summarize the annual sunshine duration of the windows of the real estate according to the duration of sunlight received by the windows in a day;

[0019] Obtaining effective sunshine duration at a preset location within a preset time period according to the shadow distribution in the real estate and the annual sunshine duration of the real estate windows, and obtaining an actual value of the sunshine factor according to the effective sunshine duration;

[0020] and / or,

[0021] The actual value of the daylight factor is obtained by:

[0022] Acquire the window attribute information of the real estate according to the BIM model, and calculate the sky direct light daylighting coefficient C of each window according to the window attribute information d , based on the skylight daylight factor C of all windows d obtaining an actual value of a daylight factor for the real estate;

[0023] and / or,

[0024] The actual value of the ventilation factor is obtained by:

[0025] According to the BIM model, obtain the ventilation times of the kitchen and bathroom of the real estate and / or the indoor fresh air volume of the real estate and / or the indoor PM2.5 concentration value of the real estate and / or the exhaust volume of the kitchen and bathroom exhaust duct in the real estate;

[0026] Obtaining the actual value of the ventilation factor according to the ventilation times of the kitchen and bathroom of the real estate and / or the indoor fresh air volume of the real estate and / or the indoor PM2.5 concentration value of the real estate and / or the exhaust volume of the kitchen and bathroom exhaust duct in the real estate;

[0027] and / or,

[0028] The actual value of the noise factor is obtained by:

[0029] Obtaining, according to the BIM model, the total superimposed sound pressure level of the indoor noise generated in the real estate and / or the traffic noise value generated by the indoor predicted point of the real estate and / or the effective sound insulation of the combined wall in the real estate;

[0030] The actual value of the noise factor is obtained according to the superimposed total sound pressure level of the indoor noise generated in the real estate and / or the traffic noise value generated by the indoor predicted point of the real estate and / or the effective sound insulation of the combined wall in the real estate.

[0031] Optionally, acquiring the landscape points of the real estate according to the BIM model, and acquiring the visibility attribute value according to the landscape points specifically includes: acquiring all the landscape points of the real estate according to the BIM model;

[0032] Determine a corresponding landscape point range for each landscape point, divide each landscape point into sub-landscape points within the landscape point range, and obtain the total number of sub-landscape points corresponding to each landscape point;

[0033] In the BIM model, visually judging the sub-landscape points of each of the landscape points based on the standard position to obtain the visualized sub-landscape points of each of the landscape points;

[0034] The visibility attribute value of each of the landscape points is the ratio of the number of visualized sub-landscape points of each of the landscape points to the total number of sub-landscape points of each of the landscape points.

[0035] Optionally, obtaining the ventilation times of the kitchen and bathroom of the real estate and / or the indoor fresh air volume of the real estate and / or the indoor inhalable particulate matter PM2.5 concentration value of the real estate and / or the exhaust volume of the kitchen and bathroom exhaust duct in the real estate according to the BIM model includes:

[0036] The ventilation times of the kitchen and bathroom of the real estate are obtained by:

[0037] Presetting ventilation test points of the real estate in the BIM model, wherein the ventilation test points are preset in the kitchen and bathroom of the real estate;

[0038] Simulating the environmental conditions of the real estate according to the BIM model to obtain the local ventilation frequency of each ventilation test point;

[0039] Obtaining the ventilation times of the kitchen and bathroom of the real estate according to the local ventilation times of all the ventilation test points;

[0040] and / or,

[0041] The indoor fresh air volume of the real estate is obtained by:

[0042] The indoor fresh air volume of the real estate is obtained by obtaining the indoor volume of the real estate, the total volume of items in the real estate, and the ventilation times of the kitchen and bathroom of the real estate through the BIM model;

[0043] and / or,

[0044] The PM2.5 concentration value of the real estate is obtained by:

[0045] Presetting PM2.5 test points of the real estate in the BIM model;

[0046] Simulating the environmental conditions of the real estate according to the BIM model to obtain the PM2.5 concentration of each PM2.5 test point of the real estate;

[0047] Obtain the PM2.5 concentration value of the inhalable particulate matter of the real estate according to the PM2.5 concentration of each PM2.5 test point;

[0048] and / or,

[0049] The exhaust volume of the kitchen and bathroom exhaust duct in the real estate is obtained by the following method:

[0050] The average wind speed of the smoke exhaust branch pipe in the real estate and the cross-sectional area of ​​the smoke exhaust branch pipe in the real estate are obtained through the BIM model;

[0051] The exhaust volume of the kitchen and bathroom exhaust duct of the real estate is obtained according to the average wind speed of the smoke exhaust branch pipe in the real estate and the cross-sectional area of ​​the smoke exhaust branch pipe in the real estate.

[0052] Optionally, scoring the actual values ​​of the various intelligent factors respectively and calculating the total score of the real estate according to the scores corresponding to the various intelligent factors combined with different weights of the various intelligent factors specifically includes:

[0053] A scoring standard is preset for each intelligent factor, and the actual value of each intelligent factor is scored according to the scoring standard to obtain a score corresponding to each intelligent factor;

[0054] The weight of each intelligence factor is obtained by evaluating each intelligence factor based on the Delphi method and expert opinions;

[0055] The total score is obtained by the following formula:

[0056] Q=ω1Q1+2Q2+…+ m Q m

[0057] Among them, m represents the total number of intelligent factors, Q m represents the score of the mth intelligence factor, ω m represents the weight of the mth intelligent factor, and Q represents the total score.

[0058] Optionally, the method further includes: converting the total score into an adjustment coefficient; and valuing the real estate according to the reference price of the real estate and the total score to obtain an assessed price of the real estate, specifically:

[0059] The real estate is appraised according to the reference price of the real estate and the adjustment coefficient to obtain an assessed price of the real estate.

[0060] Optionally, valuing the real estate according to the reference price of the real estate and the adjustment coefficient specifically includes:

[0061] The standard room price of the real estate is calculated according to the following formula:

[0062] Standard room price = (1st reference price 1 × weight 1 + 2nd reference price 2 × weight 2 + … + nth reference price n × weight n) ÷ n

[0063] The weight is the proportion of each reference price, and the proportion of the reference price is obtained based on the Delphi method combined with the opinions of experts on the reference price;

[0064] The appraisal price of the real estate is calculated according to the following formula:

[0065] Appraisal price = standard house price × adjustment coefficient.

[0066] Optionally, the method further includes:

[0067] Preset several grades of the real estate and attribute standards corresponding to each intelligent factor, wherein the grades of the real estate are qualified, medium, good, and excellent, and the standards for total scores corresponding to medium, good, and excellent are preset;

[0068] The grade of the real estate is assessed as follows:

[0069] Acquire attribute data corresponding to each intelligent factor through the BIM model;

[0070] Determine whether the attribute data corresponding to each intelligent factor meets the attribute standard;

[0071] Determine whether the attribute data of all intelligent factors of the real estate meet the corresponding attribute standards, and if so, determine that the grade of the real estate is qualified;

[0072] When the real estate grade is passing, determine whether the total score of the real estate reaches the standard of the total score corresponding to medium, good, and excellent. If so, the real estate grade is determined as medium / good / excellent based on the total score.

[0073] According to a second aspect of the present application, a BIM-based real estate evaluation device is provided, comprising:

[0074] An extraction module is used to obtain the original data of the real estate according to the BIM model of the real estate, and to quantitatively extract various preset intelligent factors of the real estate according to the original data and obtain the actual values ​​of the various intelligent factors;

[0075] A data processing module, used to score the actual values ​​of the various intelligent factors respectively and calculate the total score of the real estate according to the scores corresponding to the various intelligent factors combined with different weights of the various intelligent factors;

[0076] An evaluation module is used to evaluate the real estate according to the reference price of the real estate and the total score to obtain an evaluation price of the real estate.

[0077] Based on any of the above aspects, the embodiment of the present application provides a BIM-based real estate evaluation method and device, which obtains the original data of the real estate according to the BIM model, quantitatively extracts various intelligent factors of the preset real estate, and then scores them after obtaining the actual values ​​of each intelligent factor; calculates the total score according to the scores corresponding to each intelligent factor combined with the different proportions of each intelligent factor, and estimates the real estate by using the reference price of the real estate and the total score. This method can transform the steps of real estate evaluation that rely on traditional paper specification documents into computer automatic evaluation technology with the help of the BIM model, reduce the subjectivity of the evaluation, and realize intelligent evaluation, so as to achieve the purpose of more efficient and accurate evaluation of real estate to meet market demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0079] Figure 1 A flowchart of a BIM-based real estate evaluation method is provided for this embodiment.

[0080] Figure 2 A flow chart for obtaining the actual value of the landscape factor is provided for this embodiment.

[0081] Figure 3 A schematic diagram of a landscape observation model in a BIM-based real estate evaluation method is provided for this embodiment.

[0082] Figure 4 A flow chart for obtaining the actual value of the sunshine factor is provided for this embodiment.

[0083] Figure 5 A schematic diagram for obtaining a calculation starting point of a floor-to-ceiling window, a bay window, and a floor-to-ceiling bay window is provided for this embodiment.

[0084] Figure 6 A schematic diagram for obtaining calculation starting points of a right-angle corner window and an arc-shaped corner window is provided for this embodiment.

[0085] Figure 7 A flow chart for obtaining the actual value of the ventilation factor is provided for this embodiment.

[0086] Figure 8 A flow chart for obtaining the actual value of the noise factor is provided for this embodiment.

[0087] Fig. 9 A module diagram of a BIM-based real estate evaluation device is provided for this embodiment.

[0088] Icon: 911 - extraction module; 912 - data processing module; 913 - evaluation module. DETAILED DESCRIPTION

[0089] The drawings of this application are only used for illustrative purposes and should not be construed as limiting the present application. In order to better illustrate the following embodiments, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product; it is understandable to those skilled in the art that some well-known structures and their descriptions in the drawings may be omitted.

[0090] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0091] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0092] This embodiment provides a technical solution that can solve the above-mentioned problem. The specific implementation methods of this application are described in detail below in conjunction with the accompanying drawings.

[0093] like Figure 1 As shown, this embodiment provides a real estate evaluation method based on BIM, which may include the following steps:

[0094] S110, acquiring original data of the real estate according to the BIM model of the real estate, and quantifying and extracting various preset intelligent factors of the real estate according to the original data to obtain actual values ​​of the various intelligent factors;

[0095] Specifically, the BIM model is established by inputting the construction project completion data of the real estate into the BIM system. The construction project completion data includes the project completion drawings of the real estate (the project completion drawings record in detail the construction details of various disciplines such as architecture, structure, water supply and drainage, and electricity), construction records and quality assessment reports, quality certification documents of materials and equipment, etc., so as to restore the real three-dimensional model of the real estate and provide accurate information for subsequent data extraction;

[0096] Specifically, after the BIM model is obtained, it is necessary to continue to use 3D laser scanning technology to obtain the point cloud data, correct and update the BIM model according to the point cloud data, and generate a more accurate BIM model;

[0097] Specifically, 3D laser scanning technology is a measurement technology that uses high-speed laser scanning to measure large areas and high resolution to obtain 3D coordinate data of the surface of the measured object. The use of this technology here can more accurately obtain the field information of the real estate, provide more accurate field data for the generated BIM model, so that it can be compared with existing data to complete error correction, making the BIM model more realistic and accurate.

[0098] In this embodiment, the intelligent factors include one or more of landscape factors, sunshine factors, lighting factors, ventilation factors and noise factors.

[0099] Understandably, each attribute of the intelligent factors quantitatively extracted by the BIM model has specific and accurate data, which can eliminate the subjectivity of the evaluation to a certain extent; in this example, the focus is on considering five intelligent factors that have a greater impact on real estate evaluation. Optionally, after measuring the actual values ​​of these five intelligent factors, one or more of them can be selected as reference materials for evaluation. In this example, the calculation methods of the actual values ​​of the five intelligent factors are introduced respectively, and they are all used for the evaluation of real estate.

[0100] In an optional embodiment, if Figure 2 As shown, the actual value of the landscape factor is obtained by the following steps:

[0101] S210, obtaining a landscape point of the real estate according to the BIM model, and obtaining a visibility attribute value according to the landscape point; S220, calculating a distance value between the standard position and the landscape point according to a standard position preset in the BIM model;

[0102] like Figure 3 A schematic diagram of a landscape observation model in a BIM-based real estate evaluation method is provided, in which observation points are set as standard positions preset in the BIM model, and the distance values ​​between the standard positions and each of the landscape points can be calculated using the preset observation points.

[0103] S230, acquiring an actual value of a landscape factor according to the visibility attribute value and the distance value;

[0104] The visibility attribute value of the landscape is obtained by the following method:

[0105] All scenic spots of the real estate are obtained according to the BIM model. In this embodiment, the real estate is usually arranged with a number of scenic spots according to the design and / or scenic spots are set in the surrounding environment of the real estate. All scenic spot information in the real estate can be obtained through the BIM model.

[0106] Determine the corresponding landscape point range for each landscape point, divide each landscape point into sub-landscape points within the landscape point range, and obtain the total number of sub-landscape points corresponding to each landscape point; Figure 3 As shown, the elliptical area is a certain landscape point range, and the green points and red points in the elliptical area are sub-landscape points.

[0107] In the BIM model, the sub-viewpoints of each viewpoint are visually judged based on the standard position to obtain the visualized sub-viewpoints of each viewpoint; in the BIM model, it can be obtained that there are a number of obstacles around the real estate, and the viewpoints that can be seen from the real estate when viewed from the observation point can be judged. Based on the visual simulation of the BIM model, the degree of visualization of each viewpoint can be judged, thereby judging which sub-viewpoints can be seen and which cannot be seen. For example, Figure 3 As shown, due to the influence of obstacles, when viewed from the observation point, the green sub-landscape points are visible and the red sub-landscape points are invisible, thereby obtaining the visualized sub-landscape points of each of the landscape points.

[0108] The visibility attribute value of each of the landscape points is the ratio of the number of visualized sub-landscape points of each of the landscape points to the total number of sub-landscape points of each of the landscape points.

[0109] In this example, the actual value of the landscape factor is obtained according to the visibility attribute value and the distance value, and is specifically calculated by the following formula:

[0110]

[0111] Where n represents the number of all scenic spots of the real estate; V i represents the visual attribute value of the i-th landscape point; D i represents the distance value corresponding to the i-th landscape point, and LEM represents the actual value of the landscape factor.

[0112] In an optional embodiment, the method further includes:

[0113] A landscape quality scoring standard is preset, and the landscape quality of the real estate is scored using the landscape quality scoring standard to obtain a landscape quality value;

[0114] The actual value of the landscape factor is calculated by the following formula:

[0115]

[0116] The W i is the landscape quality value of the i-th landscape point.

[0117] In this embodiment, the actual value of the landscape factor can also be calculated in combination with the landscape quality. Specifically, a set of landscape quality scoring standards can be preset. The landscape standards can preset specific scoring items and scoring values ​​for the landscape points. The scoring items of each landscape point can be obtained through the BIM model, and the landscape quality value of each landscape point can be obtained according to the scoring items and the scoring values.

[0118] In an optional embodiment, if Figure 4 As shown, the actual value of the sunshine factor is obtained by the following steps:

[0119] S310, acquiring latitude and longitude data of the real estate and window attribute information of the real estate according to the BIM model, where the window attribute information of the real estate may specifically be the size, position and direction of the window;

[0120] S320, using the BIM model to simulate the sunshine conditions of the real estate, and calculating the projection direction of sunlight according to the longitude and latitude data of the real estate and the window attribute information of the real estate combined with the sunshine conditions of the real estate; specifically, based on the BIM model, using the longitude and latitude data of the real estate and using a solar position algorithm to calculate the solar altitude angle and azimuth angle of the real estate position every day throughout the year, so as to more accurately simulate the sunshine conditions of the real estate;

[0121] S330, determining the shadow distribution in the real estate according to the projection direction combined with the solar altitude angle and azimuth angle of the real estate location every day throughout the year; and recording the duration of sunlight received by the windows in the real estate in a day, and summarizing the annual sunshine duration of the windows of the real estate according to the duration of sunlight received by the windows in a day;

[0122] The duration of sunlight received by the windows of the real estate in a day is collected, and the selected date is a random day or several days in a year. When it is several days, the sunshine duration of several days can be averaged, and no special requirements are made for the specific date;

[0123] S340, obtaining the effective sunshine duration of a preset location within a preset time period according to the shadow distribution in the real estate and the annual sunshine duration of the real estate windows, and obtaining the actual value of the sunshine factor according to the effective sunshine duration;

[0124] Specifically, the effective sunshine duration is calculated based on integrated data of shadow distribution in the real estate and the sunshine duration of the real estate windows throughout the year using the BIM model.

[0125] In an optional implementation, the actual value of the daylight factor is obtained by:

[0126] Acquire the window attribute information of the real estate according to the BIM model, and calculate the sky direct light daylighting coefficient C of each window according to the window attribute information d , based on the skylight daylight factor C of all windows d Gets the actual value of the daylight factor for the property.

[0127] For example, Figure 5 Provides a schematic diagram for obtaining the calculation starting point of floor-to-ceiling windows, bay windows and floor-to-ceiling bay windows. Figure 6 A schematic diagram for obtaining calculation starting points of right-angle corner windows and curved corner windows is provided, which can meet the needs of obtaining calculation starting points of different types of windows in the real estate.

[0128] It is understandable that the daylighting calculation of real estate mainly includes calculating the natural light illumination in the room according to the building size and the size, number and position of the windows, or estimating the required window area according to the daylighting factor specified in the daylighting standard. In this example, the daylighting factor is used to evaluate the efficiency of the existing window design in receiving natural light. In order to simplify the calculation, this example stipulates an ideal standard sky brightness distribution as the calculation condition.

[0129] In this example, the daylight factor C of the direct sky light at a point on the indoor horizontal working surface for a rectangular vertical window that meets the International Commission on Illumination standard for a full cloudy sky brightness distribution is d Obtained by the following formula:

[0130]

[0131] Among them, θ1 and θ2 are the height angles formed by the calculation starting point of the window and the upper and lower edges of the window respectively; Calculate the plane azimuth angle formed by the vertical line from the starting point to the window wall and the two sides of the window for the window. If the number of windows in the real estate is more than one, the daylighting factor value of each window can be calculated one by one, and then added as the actual value of the daylighting factor of the real estate.

[0132] It is understandable that according to the above formula, the window lighting coefficient C for top lighting can be calculated respectively. d顶 and the daylight factor C for side-lit windows d侧 Then, according to the preset lighting standard, C d顶 and C d侧 The top and side lighting are scored and then a weighted average is taken based on their importance in the overall lighting strategy to obtain a score for the actual value of the lighting factor.

[0133] Preferably, when calculating the actual daylighting factor, it is necessary to consider relevant factors and correct the value obtained by the above method. For windows with top lighting, the minimum value of the actual daylighting factor after correction C min顶 It can be obtained by the following formula:

[0134] C min顶 = d顶 ×K τ ×K ρ ×K g

[0135] Among them, K τ is the total light transmittance of the window, K ρ is the indoor reflected light increment coefficient, K g It is a correction factor to consider the ratio of building height to span. The above three coefficients can be found in the appendix of the "Daylighting Design Standard for Industrial Enterprises".

[0136] For side-lit windows, the actual minimum value of the daylight factor after correction is C min侧 It can be obtained by the following formula:

[0137] C min侧 = d侧 ×K τ ×K ρ ′×K w ×K c

[0138] Among them, K τ is the total light transmittance of the window, K ρ ′ is the indoor reflected light increment coefficient of side lighting, K w is the light blocking reduction factor for outdoor buildings with side lighting, K c These are the window width correction factors for side lighting. These four correction factors can be found in the appendix of the “Lighting Design Standards for Industrial Enterprises”.

[0139] Similarly, for the daylight factor C d顶 and C d侧 After correction, we get C min顶 and C min侧 , and then adjust the C according to the preset lighting standard min顶 and C min侧 The top and side lighting are scored and then a weighted average is taken based on their importance in the overall lighting strategy to obtain a score for the actual value of the lighting factor.

[0140] In an optional embodiment, if Figure 7 As shown, the actual value of the ventilation factor is obtained by the following steps:

[0141] S410, obtaining the ventilation times of the kitchen and bathroom of the real estate and / or the indoor fresh air volume of the real estate and / or the indoor PM2.5 concentration value of the real estate and / or the exhaust volume of the kitchen and bathroom exhaust duct in the real estate according to the BIM model;

[0142] S420. Determine the actual value of the ventilation factor according to the ventilation times of the kitchen and bathroom of the real estate and / or the indoor fresh air volume of the real estate and / or the indoor PM2.5 concentration value of the real estate and / or the exhaust volume of the kitchen and bathroom exhaust ducts in the real estate.

[0143] Specifically, the ventilation times of the kitchen and bathroom of the real estate are obtained by:

[0144] Presetting ventilation test points of the real estate in the BIM model, wherein the ventilation test points are preset in the kitchen and bathroom of the real estate;

[0145] Simulating the environmental conditions of the real estate according to the BIM model to obtain the local ventilation frequency of each ventilation test point;

[0146] Obtaining the ventilation times of the kitchen and bathroom of the real estate according to the local ventilation times of all the ventilation test points;

[0147] The ventilation frequency of the room in the real estate is obtained by the following formula:

[0148]

[0149] Where A is the ventilation frequency of the room in the real estate, A x is the local ventilation frequency of the preset x-th test point, where X is the number of test points;

[0150] Specifically, the ventilation times A of the kitchen of the real estate are calculated according to the formula. 厨 and the ventilation frequency A of the bathroom of the real estate 卫 .

[0151] Specifically, the indoor fresh air volume of the real estate is obtained by:

[0152] The indoor fresh air volume of the real estate is obtained by obtaining the indoor volume of the real estate, the total volume of items in the real estate, and the ventilation times of the kitchen and bathroom of the real estate through the BIM model;

[0153] Wherein, the indoor fresh air volume Q of the real estate 新 Obtained by the following formula:

[0154] V=V1-V2

[0155] Q 新 =V·A

[0156] Wherein, in the formula, V1 is the indoor volume of the real estate, V2 is the total volume of items in the real estate, V is the indoor air volume of the real estate, and A is the weighted average value of the ventilation times of the kitchen and bathroom in the real estate;

[0157] Specifically, the PM2.5 concentration value of the real estate is obtained by:

[0158] Presetting PM2.5 test points of the real estate in the BIM model;

[0159] Simulating the real estate environment according to the BIM model to obtain the PM2.5 concentration of each PM2.5 test point of the real estate;

[0160] The PM2.5 concentration value C of the real estate is obtained by the following formula:

[0161]

[0162] Wherein, U in the formula is the total number of measurement points of the real estate PM2.5 test points, and C in the formula is u is the PM2.5 concentration at the uth test point in the real estate;

[0163] Specifically, the exhaust volume of the kitchen and bathroom exhaust duct in the real estate is obtained by the following method:

[0164] The average wind speed of the smoke exhaust branch pipe in the real estate and the cross-sectional area of ​​the smoke exhaust branch pipe in the real estate are obtained through the BIM model;

[0165] Obtaining the exhaust volume of the kitchen and bathroom exhaust duct of the real estate according to the average wind speed of the smoke exhaust branch pipe in the real estate and the cross-sectional area of ​​the smoke exhaust branch pipe in the real estate;

[0166] Among them, the exhaust volume Q of the kitchen and bathroom exhaust duct in the real estate 排 Obtained by the following formula:

[0167]

[0168] Among them, in the formula is the average wind speed of the exhaust gas branch pipe in the real estate, and F is the cross-sectional area of ​​the exhaust gas branch pipe in the real estate;

[0169] In an optional embodiment, if Figure 8 As shown, the actual value of the noise factor is obtained by the following steps:

[0170] S510, obtaining, according to the BIM model, the total superimposed sound pressure level of the indoor noise generated in the real estate and / or the traffic noise value generated by the predicted point of the real estate room and / or the effective sound insulation of the combined wall in the real estate;

[0171] S520: Determine the actual value of the noise factor according to the superimposed total sound pressure level of the indoor noise in the real estate and / or the traffic noise value generated by the predicted point of the room in the real estate and / or the effective sound insulation of the combined wall in the real estate.

[0172] Specifically, the actual value of the noise factor is obtained by the following formula:

[0173] L Aeq =L p +(L Aeq ) h -R 有效

[0174] Among them, L in the formula p is the total sound pressure level of the noise generated indoors in the real estate, (L Aeq 0 h is the traffic noise value generated by the h-type vehicle driving at the prediction point of the real estate room during the day or at night, R 有效 is the actual effective sound insulation of the composite walls in the said real estate;

[0175] The total sound pressure level L of the noise generated indoors in the real estate is p Obtained by the following formula:

[0176]

[0177] Among them, z represents the zth real estate room prediction point, P z is the sound pressure at the predicted point z, and P0 is the reference sound pressure;

[0178] Wherein, the traffic noise value (L Aeq ) i Obtained by the following formula:

[0179]

[0180] Among them, L in the formula Wj is the average radiated sound level of the h-type vehicle, N h is the average hourly traffic volume of the h-type vehicle during the day or night, V hi is the average speed of the h-type vehicle, T is the traffic noise value L Aeq Prediction time, ΔL距离 is the distance attenuation at the predicted point of the real estate room during the day or night, ΔL 纵坡 is the traffic noise correction caused by the highway longitudinal slope, ΔL 路面 The traffic noise correction amount caused by the road surface; if there is more than one type of vehicle passing within the preset time, the traffic noise value generated by each type of vehicle can be calculated one by one, and then the weighted average is used as the traffic noise value generated by the real estate room prediction point.

[0181] Among them, the effective sound insulation of the combined wall in the real estate is R 有效 Obtained through:

[0182] According to the BIM model, obtain the sound insulation R of the wall in the real estate and / or the total sound absorption α of the room in the real estate and / or the sound transmission coefficient τ of the same type of partial wall or window in the real estate and / or the average sound transmission coefficient of the combined wall in the real estate and / or the average sound insulation of the composite walls in the property

[0183] According to the sound insulation R of the wall in the real estate and / or the total sound absorption α of the room in the real estate and / or the sound transmission coefficient τ of the same type of partial wall or window in the real estate and / or the average sound transmission coefficient of the combined wall in the real estate and / or the average sound insulation of the composite walls in the property Determine the effective sound insulation R of the combined walls in the property 有效 ;

[0184] The effective sound insulation of the combined wall in the real estate is obtained by the following formula:

[0185]

[0186] Among them, in the formula is the average sound insulation of the combined wall in the real estate, α is the total sound absorption of the room in the real estate, S 外墙 is the exterior wall area of ​​the composite wall in the real estate, S 外室 is the exterior room area of ​​the composite walls in the real estate;

[0187] Among them, the average sound insulation of the composite wall in the real estate described in the formula is Obtained by the following formula:

[0188]

[0189] Among them, the formula is the average sound transmission coefficient of the composite walls in the real estate;

[0190] The average sound transmission coefficient of the combined wall in the real estate is Obtained by the following formula:

[0191]

[0192] In the formula, τ1 is the sound transmission coefficient of type 1 wall or window, S1 is the total area of ​​type 1 wall or window with sound transmission coefficient τ1, τ2 is the sound transmission coefficient of type 2 wall or window, S2 is the total area of ​​type 2 wall or window with sound transmission coefficient τ2, τ d is the sound transmission coefficient of type d wall or window, S d The sound transmission coefficient is τ d The total area of ​​type d walls or windows, S is the total area of ​​the composite walls in the property;

[0193] Wherein, the sound transmission coefficient of the same type of wall or window in the real estate is τ1 or τ2 or ... or τ d (hereinafter referred to as τ) is obtained by the following formula:

[0194] τ=10 -0.1R

[0195] Wherein, R in the formula is the sound insulation of the same type of wall or window in the real estate;

[0196] The volume insulation R of the wall in the real estate is obtained by the following formula:

[0197] R=23lg y-9(y≥200kg / m 2 )

[0198] R=13.5lg y+13(y≤200kg / m 2 )

[0199] Wherein, y is the mass per unit area of ​​the wall in the real estate room, obtained according to the real estate BIM model;

[0200] The total sound absorption α of the real estate room is obtained by the following formula:

[0201] α=α g S g

[0202] Among them, α in the formula g is the sound absorption of the g-th material in the real estate, S g It is the area of ​​the real estate enclosure structure, wherein the enclosure structure includes interior walls, interior windows, floors and ceilings.

[0203] S120, scoring the actual values ​​of the various intelligent factors respectively and calculating the total score of the real estate according to the scores corresponding to the various intelligent factors combined with different weights of the various intelligent factors;

[0204] It is understandable that the actual values ​​of the smart factors are scored respectively and the total score of the real estate is calculated according to the scores corresponding to the smart factors and the different weights of the smart factors, specifically including:

[0205] A scoring standard is preset for each intelligent factor, and the actual value of each intelligent factor is scored according to the scoring standard to obtain a score corresponding to each intelligent factor;

[0206] Exemplarily, a scoring standard may be set in advance for each intelligent factor, and then the score of each intelligent factor may be obtained by scoring according to the actual value of each intelligent factor under the scoring standard.

[0207] For example, the ventilation frequency A of the kitchen of the real estate is obtained. 厨 And the ventilation frequency of the real estate bathroom A 卫 Then, the scoring standards for the ventilation times of kitchens and bathrooms as shown in Tables 1 and 2 can be set, and the ventilation times of real estate kitchens A can be obtained according to the scoring standards. 厨 And the ventilation frequency of the real estate bathroom A 卫 Rating:

[0208] Table 1 Scoring criteria for kitchen ventilation times

[0209] Ventilation frequency (times / h) Score <![CDATA[3<A 厨 ≤5]]> 5 <![CDATA[5<A 厨 ≤8]]> 15 <![CDATA[8<A 厨 ≤10]]> 25

[0210] Table 2 Rating criteria for ventilation times in bathrooms

[0211] Ventilation frequency (times / h) Score <![CDATA[5<A 卫 ≤8]]> 5 <![CDATA[8<A 卫 ≤10]]> 15 <![CDATA[10<A 卫 ≤13]]> 25

[0212] Specifically, when obtaining the ventilation frequency A of the real estate kitchen 厨 Points earned and ventilation times of the property bathroom A 卫 After the scores are obtained, a weighted average of the scores of the two is taken according to their importance and proportion in the overall ventilation strategy to obtain the score of the overall ventilation frequency of the real estate.

[0213] For example, the indoor fresh air volume Q of the real estate is obtained. 新 Then, the scoring standard of indoor fresh air volume of real estate as shown in Table 3 can be set, and the indoor fresh air volume Q of real estate can be obtained according to the scoring standard. 新 Rating:

[0214] Table 3 Fresh air volume scoring standards

[0215] <![CDATA[Fresh air volume (m 3 (h·person))]]> Score <![CDATA[30<Q 新 ≤50]]> 12 <![CDATA[50<Q 新 ≤60]]> 25

[0216] For example, the PM2.5 concentration value C of the real estate may be set to the scoring criteria for the PM2.5 concentration value as shown in Table 4. The score of the PM2.5 concentration value C of the real estate may be obtained according to the scoring criteria:

[0217] Table 4 Inhalable particulate matter PM 2.5 Concentration scoring criteria

[0218] <![CDATA[PM 2.5 Concentration (mg / m 3 )]]> Score 0≤C<75 12 C≥75 25

[0219] For example, the exhaust volume Q of the kitchen and bathroom exhaust duct in the real estate is 排 The scoring standard for the exhaust volume of the kitchen and bathroom exhaust duct in real estate as shown in Table 5 can be pre-set, and the exhaust volume Q of the kitchen and bathroom exhaust duct can be obtained according to the standard. 排 Rating:

[0220] Table 5 Scoring standards for exhaust volume of kitchen and bathroom exhaust ducts in real estate

[0221] <![CDATA[Exhaust air volume (m 3 / h)]]> Score <![CDATA[0≤Q 排 <300]]> 10 <![CDATA[300≤Q 排 ≤500]]> 25 <![CDATA[Q 排 >500]]> 10

[0222] It is understandable that the obtained ventilation times of the kitchen and bathroom of the real estate, the indoor fresh air volume of the real estate, the PM2.5 concentration value of the real estate and the exhaust volume of the kitchen and bathroom exhaust ducts in the real estate are scored respectively according to the preset scoring criteria, and then the weighted score values ​​of the ventilation times of the kitchen and bathroom of the real estate, the indoor fresh air volume score value of the real estate, the PM2.5 concentration value of the real estate and the exhaust volume score value of the kitchen and bathroom exhaust ducts in the real estate are weighted averaged to obtain the score of the actual value of the ventilation factor.

[0223] In this embodiment, the scoring criteria for each intelligent factor can be pre-set in the above exemplary manner, and then the scores for each intelligent factor are obtained by scoring according to the actual values ​​of each intelligent factor under the corresponding scoring criteria.

[0224] The weight of each intelligence factor is obtained by evaluating each intelligence factor based on the Delphi method and expert opinions;

[0225] The total score Q is obtained by the following formula:

[0226] Q=ω1Q1+2Q2+…+ m Q m

[0227] Among them, m represents the total number of intelligent factors, Q mrepresents the score of the mth intelligence factor, ω m represents the weight of the mth intelligent factor, and represents the total score.

[0228] Exemplarily, when the intelligent factors include landscape factor, sunshine factor, lighting factor, ventilation factor and noise factor, the total score is calculated as follows:

[0229] Q=ω1Q1+2Q2+3Q3+4Q4+5Q5

[0230] Wherein, the formula Q1 is the score of the landscape factor, Q2 is the score of the sunshine factor, Q3 is the score of the lighting factor, Q4 is the score of the ventilation factor, Q5 is the score of the noise factor, ω1 is the weight of the landscape factor, ω2 is the weight of the sunshine factor, ω3 is the weight of the lighting factor, ω4 is the weight of the ventilation factor, and ω5 is the weight of the noise factor;

[0231] For example, the weights of each intelligent factor obtained by evaluating each intelligent factor according to the Delphi method combined with expert opinions can be shown in Table 6:

[0232] Table 6 Weight table of various intelligent factors

[0233] <![CDATA[Landscape factor ω1]]> <![CDATA[Sunshine factor ω2]]> <![CDATA[Daylighting factor ω3]]> <![CDATA[Ventilation factor ω4]]> <![CDATA[Noise factor ω5]]> Weight 0.24 0.2 0.21 0.17 0.18

[0234] In this example, the method further includes: converting the total score into an adjustment coefficient, valuing the real estate according to the reference price of the real estate and the total score, and obtaining an assessed price of the real estate, specifically:

[0235] The real estate is appraised according to the reference price of the real estate and the adjustment coefficient to obtain an assessed price of the real estate.

[0236] It is understandable that the adjustment coefficient is obtained in the following manner:

[0237] An adjustment relationship standard is preset, and the total score is converted into an adjustment coefficient according to the adjustment relationship standard.

[0238] S130. Appraise the real estate according to the reference price of the real estate and the total score to obtain an assessed price of the real estate; wherein the reference price may be set by prior knowledge or obtained by referring to market transaction prices of other similar real estates around the real estate.

[0239] In this example, the real estate is valued according to the reference price of the real estate and the adjustment coefficient, specifically including:

[0240] The standard room price of the real estate is calculated according to the following formula:

[0241] Standard room price = (1st reference price 1 × weight 1 + 2nd reference price 2 × weight 2 + … + nth reference price n × weight n) ÷ n

[0242] The weight is the proportion of each reference price, and the proportion of the reference price is obtained based on the Delphi method combined with the opinions of experts on the reference price;

[0243] The appraisal price of the real estate is calculated according to the following formula:

[0244] Appraisal price = standard house price × adjustment coefficient.

[0245] In this example, the method further includes:

[0246] Preset several grades of the real estate and attribute standards corresponding to each intelligent factor, wherein the grades of the real estate are qualified, medium, good, and excellent, and the standards for total scores corresponding to medium, good, and excellent are preset;

[0247] The grade of the real estate is assessed as follows:

[0248] Acquire attribute data corresponding to each intelligent factor through the BIM model;

[0249] Determine whether the attribute data corresponding to each intelligent factor meets the attribute standard;

[0250] Determine whether the attribute data of all intelligent factors of the real estate meet the corresponding attribute standards, and if so, determine that the grade of the real estate is qualified;

[0251] When the real estate grade is passing, determine whether the total score of the real estate reaches the standard of the total score corresponding to medium, good, and excellent. If so, the real estate grade is determined as medium / good / excellent based on the total score.

[0252] Specifically, the preset standards for the total scores corresponding to medium, good, and excellent include:

[0253] When the total score reaches 70 points, 80 points, and 90 points, the real estate appraisal grade is divided into medium, good, and excellent;

[0254] Real estate of the three grades of medium, good and excellent should all meet the corresponding attribute standards, and the actual value of each type of intelligent factor should not be less than 30% of its full score.

[0255] like Figure 5As shown, the embodiment of the present application also provides a BIM-based real estate evaluation device. Optionally, the BIM-based real estate evaluation device may include an extraction module 911, a data processing module 912, and an evaluation module 913. Among them:

[0256] The extraction module 911 is used to obtain the original data of the real estate according to the BIM model of the real estate, and to quantify and extract various preset intelligent factors of the real estate according to the original data and obtain the actual values ​​of the various intelligent factors;

[0257] In this embodiment, the extraction module 911 can be used to perform Figure 1 As shown in step S110 , for a detailed description of the extraction module 911 , reference may be made to the description of step S110 .

[0258] The data processing module 912 is used to score the actual values ​​of the various intelligent factors respectively and calculate the total score of the real estate according to the scores corresponding to the various intelligent factors combined with the different weights of the various intelligent factors;

[0259] In this embodiment, the data processing module 912 can be used to perform Figure 1 As shown in step S120, for a detailed description of the data processing module 912, reference may be made to the description of step S120.

[0260] The evaluation module 913 is used to evaluate the real estate according to the reference price of the real estate and the total score to obtain the evaluation price of the real estate;

[0261] In this embodiment, the evaluation module 913 can be used to perform Figure 1 As shown in step S130, for the detailed description of the evaluation module 913, reference may be made to the description of step S130.

[0262] It can be understood that the above-mentioned device embodiments and the above-mentioned method embodiments can correspond to each other, and similar descriptions of the device embodiments can refer to the method embodiments. To avoid repetition, it will not be repeated here. A BIM-based real estate evaluation device provided in an embodiment of the present application can execute a BIM-based real estate evaluation method provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method.

[0263] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the technical solution of the present invention, and are not intended to limit the specific implementation methods of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the claims of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A real estate evaluation method based on BIM, characterized in that: include: Acquire the original data of the real estate according to the BIM model of the real estate, and quantitatively extract various preset intelligent factors of the real estate according to the original data and obtain the actual values ​​of the various intelligent factors; wherein the intelligent factors include one or more of landscape factors, sunshine factors, lighting factors, ventilation factors and noise factors; The actual value of the landscape factor is obtained by: Acquire a landscape point of the real estate according to the BIM model, and acquire a visibility attribute value according to the landscape point; According to the standard position preset in the BIM model, calculating the distance value between the standard position and the landscape point; Acquire an actual value of a landscape factor according to the visibility attribute value and the distance value; and / or, The actual value of the sunshine factor is obtained by: Acquire the latitude and longitude data of the real estate and the window attribute information of the real estate according to the BIM model; Using the BIM model to simulate the sunshine condition of the real estate, and calculating the projection direction of sunlight according to the longitude and latitude data of the real estate and the window attribute information of the real estate combined with the sunshine condition of the real estate; Determine the shadow distribution in the real estate according to the projection direction combined with the solar altitude angle and azimuth angle of the real estate location every day throughout the year; and record the duration of sunlight received by the windows in the real estate in a day, and summarize the annual sunshine duration of the windows of the real estate according to the duration of sunlight received by the windows in a day; Obtaining effective sunshine duration at a preset location within a preset time period according to the shadow distribution in the real estate and the annual sunshine duration of the real estate windows, and obtaining an actual value of the sunshine factor according to the effective sunshine duration; and / or, The actual value of the daylight factor is obtained by: Acquire the window attribute information of the real estate according to the BIM model, and calculate the skylight daylighting coefficient C of each window according to the window attribute information d , based on the skylight daylight factor C of all windows d obtaining an actual value of a daylight factor for the real estate; and / or, The actual value of the ventilation factor is obtained by: According to the BIM model, the ventilation times of the kitchen and bathroom of the real estate and / or the indoor fresh air volume of the real estate and / or the indoor PM2.5 concentration value of the real estate and / or the exhaust volume of the kitchen and bathroom exhaust duct in the real estate are obtained; Obtaining the actual value of the ventilation factor according to the ventilation times of the kitchen and bathroom of the real estate and / or the indoor fresh air volume of the real estate and / or the indoor PM2.5 concentration value of the real estate and / or the exhaust volume of the kitchen and bathroom exhaust duct in the real estate; and / or, The actual value of the noise factor is obtained by: Obtaining, according to the BIM model, the total superimposed sound pressure level of the indoor noise generated in the real estate and / or the traffic noise value generated by the indoor predicted point of the real estate and / or the effective sound insulation of the combined wall in the real estate; Obtaining the actual value of the noise factor according to the superimposed total sound pressure level of the indoor noise generated in the real estate and / or the traffic noise value generated by the indoor predicted point of the real estate and / or the effective sound insulation of the combined wall in the real estate; Scoring the actual values ​​of each of the smart factors respectively and calculating the total score of the real estate according to the scores corresponding to each of the smart factors combined with the different weights of each of the smart factors; The total score is obtained as follows: A scoring standard is preset for each intelligent factor, and the actual value of each intelligent factor is scored according to the scoring standard to obtain a score corresponding to each intelligent factor; The weight of each intelligence factor is obtained by evaluating each intelligence factor based on the Delphi method and expert opinions; The total score is obtained by the following formula: Q= ω1 Q1+ ω2 Q2+…+ ω m Q m Among them, m represents the total number of intelligent factors, Q m represents the score of the mth intelligence factor, ω m represents the weight of the mth intelligent factor, Q represents the total score; the real estate is appraised according to the reference price of the real estate and the total score to obtain the appraisal price of the real estate; Among them, it also includes: Converting the total score into an adjustment coefficient, valuing the real estate according to the reference price of the real estate and the adjustment coefficient, and obtaining an assessed price of the real estate; The method for obtaining the evaluation price is as follows: The standard room price of the real estate is calculated according to the following formula: Standard room price = (1st reference price 1 × weight 1 + 2nd reference price 2 × weight 2 + … + nth reference price n × weight n) ÷ n The weight is the proportion of each reference price, and the proportion of the reference price is obtained based on the Delphi method combined with the opinions of experts on the reference price; The appraisal price of the real estate is calculated according to the following formula: Appraisal price = standard house price × adjustment coefficient; A number of grades of the real estate and attribute standards corresponding to each intelligent factor are preset, wherein the grades of the real estate are divided into passing, medium, good, and excellent, and the total score standards corresponding to medium, good, and excellent are preset to evaluate the grades of the real estate: Acquire attribute data corresponding to each intelligent factor through the BIM model; Determine whether the attribute data corresponding to each intelligent factor meets the attribute standard; Determine whether the attribute data of all intelligent factors of the real estate meet the corresponding attribute standards, and if so, determine that the grade of the real estate is qualified; When the real estate grade is passing, determine whether the total score of the real estate reaches the standard of the total score corresponding to medium, good, and excellent. If so, the real estate grade is determined as medium / good / excellent based on the total score.

2. A BIM-based real estate evaluation method according to claim 1, characterized in that: The acquiring of the landscape point of the real estate according to the BIM model and the acquiring of the visibility attribute value according to the landscape point specifically include: Acquire all scenic spots of the real estate according to the BIM model; Determine a corresponding landscape point range for each landscape point, divide each landscape point into sub-landscape points within the landscape point range, and obtain the total number of sub-landscape points corresponding to each landscape point; In the BIM model, visually judging the sub-landscape points of each of the landscape points based on the standard position to obtain the visualized sub-landscape points of each of the landscape points; The visibility attribute value of each of the landscape points is the ratio of the number of visualized sub-landscape points of each of the landscape points to the total number of sub-landscape points of each of the landscape points.

3. The real estate evaluation method based on BIM according to claim 1, characterized in that: The ventilation times of the kitchen and bathroom of the real estate and / or the indoor fresh air volume of the real estate and / or the indoor PM2.5 concentration value of the real estate and / or the exhaust volume of the kitchen and bathroom exhaust duct in the real estate are obtained according to the BIM model, including: The ventilation times of the kitchen and bathroom of the real estate are obtained by: Presetting ventilation test points of the real estate in the BIM model, wherein the ventilation test points are preset in the kitchen and bathroom of the real estate; Simulating the environmental conditions of the real estate according to the BIM model to obtain the local ventilation frequency of each ventilation test point; Obtaining the ventilation times of the kitchen and bathroom of the real estate according to the local ventilation times of all the ventilation test points; and / or, The indoor fresh air volume of the real estate is obtained by: The indoor fresh air volume of the real estate is obtained by obtaining the indoor volume of the real estate, the total volume of items in the real estate, and the ventilation times of the kitchen and bathroom of the real estate through the BIM model; and / or, The PM2.5 concentration value of the real estate is obtained by: Presetting PM2.5 test points of the real estate in the BIM model; Simulating the environmental conditions of the real estate according to the BIM model to obtain the PM2.5 concentration of each PM2.5 test point of the real estate; Obtain the PM2.5 concentration value of the inhalable particulate matter of the real estate according to the PM2.5 concentration of each PM2.5 test point; and / or, The exhaust volume of the kitchen and bathroom exhaust duct in the real estate is obtained by the following method: The average wind speed of the smoke exhaust branch pipe in the real estate and the cross-sectional area of ​​the smoke exhaust branch pipe in the real estate are obtained through the BIM model; The exhaust volume of the kitchen and bathroom exhaust duct of the real estate is obtained according to the average wind speed of the smoke exhaust branch pipe in the real estate and the cross-sectional area of ​​the smoke exhaust branch pipe in the real estate.

4. A real estate evaluation device based on BIM, characterized in that: The device is applied to a BIM-based real estate evaluation method according to any one of claims 1 to 3, and the device comprises: An extraction module is used to obtain the original data of the real estate according to the BIM model of the real estate, and to quantify and extract various preset intelligent factors of the real estate according to the original data and obtain the actual values ​​of the various intelligent factors; a data processing module is used to score the actual values ​​of the various intelligent factors respectively and calculate the total score of the real estate according to the scores corresponding to the various intelligent factors combined with the different weights of the various intelligent factors; An evaluation module is used to evaluate the real estate according to the reference price of the real estate and the total score to obtain an evaluation price of the real estate.

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