10 results about "Area ratio" patented technology

The invention relates to the technical field of project management, in particular to a building engineering project construction quality management method and system, and the method comprises the following steps: obtaining a drawing node sequence index and comparing a process stage number, screening compliant nodes, judging the reasonability of a task configuration time sequence, analyzing the deviation of an included angle between a crack angle and a load direction, and recognizing structural abnormality. And aggregating the partition abnormal nodes to form a construction project quality risk distribution section mapping result. According to the method, the structure drawing node sequence is compared with the construction process, it is guaranteed that input data logic is unified, the task configuration reasonability is improved through input time and stage sequence cross check, a stress deviation judgment mechanism is established in the crack direction through vector included angle and load comparison, and structural logic verification of inspection data is achieved; abnormal nodes are identified according to double standards of time compliance and stress deviation, a spatial density model is constructed by combining partition aggregation with an area ratio, building quality risk distribution is accurately presented, and the problem focusing and processing priority judgment capability is enhanced.

The invention discloses a Gini coefficient measurement-based prefabricated floor regularity quantitative evaluation method and system, electronic equipment and storage equipment, belongs to the technical field of electrical data processing, and relates to prefabricated building prefabricated floor regularity quantitative evaluation by using building data. The method comprises the following steps: calculating a regularity weight factor of each subunit based on a box dimension; sorting the areas of the subunits from low to high; after sorting, calculating the cumulative weight ratio and the cumulative area ratio of each subunit; constructing a Lorentz curve according to the cumulative weight ratio and the cumulative area ratio, and calculating the curve area corresponding to each subunit and the sum B of all curve areas; and calculating a Gini coefficient G: # imgabs0 #. According to the method, quantitative evaluation can be carried out on the regularity of the prefabricated floor slab more accurately and efficiently.

To provide a torsion response prediction method and a torsion response prediction device capable of easily evaluating torsion response caused by foundation input motion of a building located on irregular ground.SOLUTION: Calculating respective impedance ratios α γ = (γ 1 * Vs1) / (γ 2 * Vs2) of the stratum structures 1 and 2, where Vs1 and Vs2 are respective shear wave velocities of the stratum structures 1 and 2, and γ 1 and γ 2 are respective wet densities of the stratum structures 1 and 2, and calculating an area ratio β = A1 / (A2 + 2A1) from respective basic cross-sectional areas A1 and A2 of the stratum structures 1 and 2; A response analysis of a one dimensional soil column model is performed with respect to each of the layer structures 1 and 2, maximum displacements D1 and D2 of the grounds of the layer structures 1 and 2 are calculated, a difference in ground displacement Δ D = D1 - D2 is obtained, and a rotation angle θ max of the building caused by a base input motion is calculated using the following equation θ max = = p * (Δ D·L) q·α γ / β using preset coefficients p and q with a base length L of the building.SELECTED DRAWING: Figure 2

A precast concrete element (2.1), in particular a precast concrete wall, comprises a base body (4) made of concrete and at least one concrete replacement body (5a, 5b) made of a different material than the base body (4), and connected to the base body (4) by casting, wherein the volume ratio between the volumes of the at least one concrete replacement body (5a, 5b) and the base body (4) is at least 1:4 and / or wherein the area ratio between the surface areas of the at least one concrete replacement body (5a, 5b) and the base body (4) on at least one side surface (7) of the precast concrete element (2.1) is at least 1:1. A building structure (1) with at least one such precast concrete element (2.1) and a method for producing such a precast concrete element (2.1).

The present invention discloses an automatic recognition method and device for dome structure, the method comprising the following steps: (1) extracting bedrock strata with a ring number ≤ 2 from the stratum data to be recognized, and storing them in a stratum set D; (2) sequentially obtaining the stratum boundary ring number, envelope rectangle and area of ​​each stratum in the stratum set D, and storing them in a set Index; (3) identifying strata with ring structures from the set Index, and storing them in a stratum set Dtemp; (4) deleting strata that do not meet the dome structure characteristics in the set Dtemp according to the length-to-area ratio characteristics of the strata; (5) deleting strata that do not meet the dome structure characteristics in the set Dtemp according to the long-to-short axis ratio characteristics and the area ratio characteristics of the strata; (6) storing strata that meet the dome structure characteristics in the set Dtemp in the dome set Domes according to the occurrence characteristics of the strata. The recognition result of the present invention is relatively accurate and the degree of automation is high.

A method for evaluating the energy efficiency of a building according to the present invention comprises the steps in which: (a) a first energy efficiency evaluation unit evaluates the energy efficiency of a target building by calculating the area ratio of windows and walls of the target building, and a third energy efficiency evaluation unit evaluates the energy efficiency of the target building on the basis of material information of the windows and walls of the target building; (b) a second energy efficiency evaluation unit evaluates the energy efficiency of the target building on the basis of the shaded area of the target building; (c) an energy efficiency prediction unit creates a digital twin of the target building on the basis of characteristic information of each space of the target building, energy usage information, and information about the weather around the target building, and predicts the energy efficiency of the target building through the digital twin; (d) a fourth energy efficiency evaluation unit calculates the energy efficiency of an energy generation facility installed in the target building, and evaluates the energy efficiency of the target building on the basis of the energy efficiency of the energy generation facility; and (e) the energy efficiency of the target building is derived from a building energy efficiency evaluation program pre-stored in a terminal having a display, and the energy efficiency of the target building and the energy efficiency of the target building evaluated or predicted in steps (a) to (d) are compared.

The invention discloses a building material quality dynamic detection method and system in a construction environment, and relates to the technical field of material quality detection. The method comprises the following steps: acquiring a plurality of contact area ratios and a plurality of load data through a building construction structure diagram; clustering the plurality of brick bodies, determining a plurality of brick body sets of the same kind, and calculating to obtain attributes of the plurality of brick bodies of the same kind; performing optimization adjustment on the initial quality detection index according to the current construction environment parameters and the attributes of the plurality of similar bricks, and determining a plurality of adaptive quality detection indexes; and performing quality detection on the same kind of brick bodies in the plurality of same kind of brick body sets by using the plurality of adaptive quality detection indexes. The technical problems that in the prior art, building material quality detection depends on fixed detection indexes, detection standards cannot be dynamically set in combination with the actual construction environment and the characteristics of the area where the material is located, and consequently the detection practicability and reliability are insufficient are solved, and the technical effect of improving the adaptability and accuracy of quality detection is achieved.

The invention provides a building material carbon emission index prediction method. The method comprises the following steps: establishing an engineering case building material carbon emission database; the engineering foundation sub-information at least comprises seismic fortification intensity, a building structure form, an underground space area ratio and an overground building layer number; performing saliency judgment by taking the engineering basic sub-information as independent variables and taking the building material carbon emission per unit building area of the sample number as dependent variables, and dynamically perfecting the sample library until the four independent variables all meet a saliency judgment standard; the building structure form is used as a classification mode, the seismic fortification intensity, the underground space area ratio and the overground building layer number are used as fitting independent variables, the building material carbon emission per unit building area of an engineering case is used as a fitting dependent variable, and a building material carbon emission prediction model is fitted by adopting a multiple linear regression method. The method can solve the problem of building material carbon emission index estimation in the absence of building material consumption data in the early stage of design, and provides support for scheme planning of zero-carbon buildings in the whole process.

The application discloses a kind of secondary structure sound in building caused by rail transit fast prediction method, comprising: S1, establishing prediction model;S2, determine reference condition and calculate C (f i );S3, calculate T h (f i ) under different room height, T w (f i ) under different window area ratio, T a (f i ) under different room area, T r (f i ) under different room length-width ratio, T i (f i ) under different total number of layers of building, respectively obtain the adjustment value table of T h (f i ), T w (f i ), T a (f i ), T r (f i ) and T l (f i );S4, the secondary structure sound of room to be predicted is predicted;S5, repeat S4, complete the secondary structure sound prediction of other rooms in the same building or any room in different buildings.The method is simple and easy to operate, high efficiency, improve the accuracy and applicability of prediction.

The present invention discloses an efficient automatic correction system and method for urban planning floor area ratio, belongs to the technical field of intelligent urban planning, and proposes the following scheme: a data import module, imports a given area plot, intensity unit and track influence range file; a preprocessing module, standardizes each field of the given area plot, intensity unit and track influence range file to obtain standardized space and attribute data; a spatial relationship processing module, obtains the spatial intersection relationship of different types of data files; a rule engine module, according to the spatial intersection relationship and the given area plot attribute, obtains the benchmark floor area ratio, each single floor area ratio correction coefficient, commercial and residential ratio coefficient and track correction coefficient through a preset rule set; a floor area ratio correction module, corrects the floor area ratio according to the benchmark floor area ratio, each single floor area ratio correction coefficient, commercial and residential ratio coefficient and track correction coefficient. The present invention avoids the problems of omission, error and long time consumption caused by manual participation in calculation.