Building construction analysis control method and system based on big data analysis technology

Abstract

The invention provides a building construction analysis management and control method and system based on a big data analysis technology, and belongs to the field of analysis management and control. The problem of high building construction analysis difficulty is solved; the method specifically comprises the following steps: S1, obtaining design information of a target building; s2, calculating the additional supplementary building number of the target building; calculating an expected load of the target building according to the design information; mathematical modeling is conducted on the target building according to the expected load, whether the load bearing of each floor of the target is reasonable or not is judged, and a to-be-reinforced load bearing building is extracted; judging whether the floor design is reasonable or not, and extracting a to-be-adjusted floor; s3, according to the to-be-reinforced load-bearing building and the to-be-adjusted floors, the reinforcing thickness of the load-bearing columns and the adjusted building height of each floor are calculated, and new construction information is obtained; marking a position which does not accord with the new construction information in the target building, and giving an alarm; the related data of the target building are acquired, analyzed and processed, the bearing structure of the building is supervised and adjusted, and smooth completion of the building is ensured.

Description

Technical Field

[0001] The present invention discloses a construction analysis and control method and system based on big data analysis technology, and relates to the field of analysis and control. Background Art

[0002] The existing methods and systems for building construction analysis have the following deficiencies: Large initial investment: Deploying a big data analysis system requires a lot of technical investment, including data collection hardware, system integration, training, etc., and the initial cost is high. In addition, the systems and tools used by different participants in the construction industry (such as construction teams, suppliers, project managers, etc.) are inconsistent, making it difficult to integrate, connect and standardize data.

[0003] Difficulty in data collection: Data collection at construction sites may be affected by many factors such as the environment, technology, and labor, resulting in inaccurate or incomplete data. If the input data is inaccurate or incomplete, the analysis results may be distorted, affecting the effectiveness of decision-making. For example, sensor failure or missing data may cause the system to give incorrect warnings, which relies on high-quality data and technical support.

[0004] Difficulty of use and training cost: For building managers who are not familiar with big data technology, mastering and using such a complex system requires a long training period. Summary of the invention

[0005] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a construction analysis management and control method and system based on big data analysis technology, aiming to solve the problem of the difficulty of construction analysis.

[0006] In order to achieve the above object, the present invention is implemented through the following technical solution: a construction analysis and control method based on big data analysis technology, the method comprising: Step S1: Obtain design information of the target building; Step S2: Obtain the population change in the target area and determine the additional number of target buildings to be built; calculate the expected load of the target building based on the design information; According to the expected load, a mathematical model is built for the target building to calculate the most ideal load-bearing, ideal load-bearing, unideal load-bearing and worst load-bearing of each floor of the target building, and to determine whether the load-bearing of each floor of the target building is reasonable. If it is reasonable, no treatment will be done; if it is unreasonable, the load-bearing building to be reinforced will be extracted; According to the expected load, the target building is modeled twice mathematically to analyze the impact of floor height on the load-bearing capacity of the target building and determine whether the floor design is reasonable. If it is reasonable, no processing will be done. If it is unreasonable, the floors to be adjusted will be extracted. Step S3: According to the load-bearing buildings to be reinforced and the floors to be adjusted, respectively calculate the load-bearing column reinforcement thickness of each floor of the target building and the adjusted building height of each floor to obtain new construction information; The construction data of the target building during the construction process is obtained in real time and compared with the new construction information, and the locations in the target building that do not conform to the new construction information are marked and an alarm is issued.

[0007] Furthermore, the specific steps of step S2 are as follows: Step S21: Obtain the number of target buildings, the floor height of the target buildings, the number of pre-set rough houses on each floor, the area and thickness of the foundation of the target buildings, and the foundation settlement coefficient of the target buildings to obtain design information; Number of people in the target area in the past year （1） ; Calculate the change rate of the number of people from the third year to the second year b （3-2） , The rate of change in the number of people from the second year to the first yearb （2-1） ; Step S22: According to b （3-2） and b （2-1） Construct the state transfer matrix B （1） ; Let the (2×1) matrix B be （2） , calculate B （1） Multiply by B （2） , we get the matrix B （3） ; Calculate the matrix B （3） The average value of the parameters in the target area is used as the population change rate in bp; Get the current number of people pp and calculate the expected number of buyers qp, qp = [(1 + bp) × pn （1） ]-pp; Step S23: the number of target buildings is recorded as bn, and the floor height of the target building is recorded as bl; The number of pre-set rough houses corresponding to the 1st to blth floors of the target building is recorded as f （1） ~f （bl） , and sum them to get af; Determine whether [(qp / 2) / (bn×bl×af)]≤1 holds; If true, no processing will be done; if not true, the number of additional construction gb of the target building will be calculated; ; Step S24: record the foundation area of ​​the target building as Ds, the foundation thickness as Dh, and the foundation settlement coefficient as bd; obtain the bearing coefficient of the foundation Dc; and calculate the expected load Qtt of the target building; Qtt = bd × (Ds × Dh × Dc); Step S25: Count the number of longitudinal load-bearing columns of the target building, record it as ld, and count the number of transverse load-bearing columns of the target building, record it as hd; The length of the load-bearing column is recorded as Zh, the cross-sectional area is recorded as Zs, and the load-bearing column compression coefficient is recorded as Zc; Calculate the maximum load-bearing capacity Qz, Qz = Zc × (Zh × Zs); analyze whether the structure of the target building is reasonable, and proceed to step S3.

[0008] Furthermore, the specific steps of step S25 are as follows: Step S251: Calculate the average floor load Qbl, Qbl=Qtt / bl; analyze the design of the load-bearing columns of each floor of the target building; Step S252: Concentrate the expected load on the roof of the target building and determine the floor design of the target building; Step S2521: Obtain the length Jl and width Jh of the target building and define equation 4: ; Among them, ZQT represents the deadweight of the load-bearing columns of each floor; θ （1-bl） Represents the angle between the diagonal lines of the 1st floor and the blth floor: Step S2522: Determine whether relational expression 4 holds true; If not, no processing will be done; if true, reasonable floor height will be analyzed; Step S2523: Define relation 5: ; Among them, θ （1-g） Represents the angle between the diagonal lines from the 1st floor to the gth floor: Substitute 1 to bl into equation 5 in sequence, extract the first floor height that satisfies equation 5, record it as gh, and take the ghth to blth floors as the floors to be adjusted.

[0009] Furthermore, the specific steps of step S251 are as follows: Step S2511: Obtain the number of rough houses preset on the blth floor of the target building （bl） ; Analyze the load-bearing capacity of the bl layer; Calculate the optimal load-bearing capacity Lg of the bl layer （1） :Lg （1） =Qbl / (ld×hd); Step S2512: obtaining the distance Dx between two adjacent load-bearing columns in the horizontal direction and the distance Ly between two adjacent load-bearing columns in the vertical direction; Assuming that the area of ​​each pre-designed rough house is equal, calculate the ideal load-bearing capacity Lg of the blth floor （2） ; Step S2513: Assuming that the area of ​​each pre-set roughcast house is not equal, calculate the undesirable load-bearing capacity Lg of the bl-th floor （3） ; Step S25131: Set the first to the fth layers of the bl layer （bl） The area of ​​the pre-designed rough house is recorded as: fs(1)~fs(f （bl） ); Calculate fs(1)~fs(f （bl） ), denoted as afs; The area of ​​the kth preset rough house on the blth layer is recorded as fs(k), and the value range of k is: 1~f （bl） ; Define calculation formula 2-7: Qfc(k) = (fs(k) / afs) × Qbl; Among them, Qfc(k) represents the load distribution of the kth preset rough house on the blth floor; Step S25132: fs(1)~fs(f （bl） ) into the calculation formula 2-7 to obtain: Qfc (1) ~ Qfc (f （bl） ); The 1st to fth （bl） The ideal load Qf of the pre-set rough house is replaced by Qfc (1) ~ Qfc (f （bl） ), repeat the calculation of Lg （2） The same steps as above are used to calculate the undesirable load Lg （3） .

[0010] Furthermore, the subsequent steps of step S2513 are as follows: Step S2514: Record the worst load-bearing capacity of the load-bearing column of the blth floor as Lg （4） , Lg （4） =Qbl; Calculate Lg （1） To Lg （4） The average of the total load-bearing ZQ of each load-bearing column on the blth floor （bl） ; Step S2515: Obtain the density Zρ of the load-bearing column; calculate the deadweight ZQT of the load-bearing column of each floor, ZQT = Zρ × (Zh × Zs) × (ld × hd); Assume that the number of pre-built rough houses on the qth floor is f （q） ; The total load-bearing capacity of the qth layer is recorded as ZQ （q） : ; ZQ （q） The calculation formula is used as the calculation formula 2-8; the number of pre-set rough houses on the 1st to (bl-1)th floors f （1） ~f （bl-1）Substitute into equation 2-8 to calculate the combined load-bearing capacity of the 1st to (bl-1)th layers, and obtain ZQ （1） ~ZQ （bl-1） ; Step S2516: Define relation 3: Among them, ZQ （bl-i） It represents the combined load-bearing capacity of the (bl-i)th layer; ZQ （1） ~ZQ （bl） Substitute into equation 3 to determine whether equation 3 is true; If this is not true, it means that the load-bearing capacity of each floor of the target building is reasonable; If it is established, it means that the design of the load-bearing columns of the target building is unreasonable; extract the first combined load that makes equation 3 true as the reinforced combined load, and record the floor corresponding to the reinforced combined load as gt; take the 1st to gtth floors as the load-bearing floors to be reinforced.

[0011] Furthermore, the specific steps of step S2512 are as follows: Step S25121: Assume the ideal load of the rough house is Qf, Qf = Qbl / f （bl） ; According to the connection between the bl-th layer beam and the main beam, define the load-bearing calculation formula of each load-bearing column; Step S25122: Set the secondary beam of the bl-th layer as a horizontal connection; The area of ​​the pre-designed rough house is recorded as: [(α （1） +β （1） )×Ly]×Dx;α （1） is a rational number not equal to 0, β （1） is a rational number in the interval (0,1); Set the pre-built rough house [(β （1） ×Ly)×Dx] corresponds to the area A （1） , will [(α （1） ×Ly)×Dx] corresponds to the area B （1） ; Step S25123: Set the secondary beam of the bl-th layer to be longitudinally connected; The area of ​​the pre-designed rough house is recorded as: [(α （2） ×Ly)×(β （2） ×Dx)]; where α （2） is a rational number not equal to 0, β （2） is a rational number in the interval (0,1); The load-bearing capacity of the pre-built rough house on the jth load-bearing column is recorded as: Ztt （i） ; The value range of j is: 1~α （2） ; Judge α （2） The parity of Ztt（i） Calculation formula of Step S251231: If α （2） is an odd number, then Ztt （i） The calculation formulas are Calculation Formula 2-3 and Calculation Formula 2-4; When j is When; calculation formula 2-3 is: ; When j is not When; calculation formula 2-4 is: ; Step S251232: If α （2r） is an even number, then Ztt （i） The calculation formula is: .

[0012] Furthermore, the subsequent steps of step S25123 are as follows: Step S25124: Set the secondary beam of the bl-th layer to be mixed connection; The area of ​​the pre-designed rough house is recorded as: [(α （3） × Ly) × Dx + (λ （3） ×Ly×β （3） ×Dx)]; where α （3） is a rational number not equal to 0, β （3） and λ （3） is a rational number in the interval (0,1); Set the preset rough house [(α （3） ×Ly)×Dx] corresponds to the area A （2） , will [(λ （3） ×Ly)×(β （3） × Dx)] corresponds to the area B （2） ; Step S251241: Set the first (α （3） +1)For the load-bearing column as the first-level force component column, calculate the area A （2） The load-bearing capacity of the primary force component column is recorded as Zsf: ; Step S251242: Set the first to the (α （3） +1) The load-bearing column is used as a secondary force-component column; the area B （2） The load bearing capacity of the pth pair of secondary force-bearing columns is recorded as: Zst （i） ; The value range of p is: 1~(α （3） +1); Judgment (α （3） +1) to determine the parity of Zst （p）Calculation formula of If (α （3） +1) is an odd number, then Zst （p） The calculation formulas are Calculation Formula 2-5 and Calculation Formula 2-6; When p is When, calculate formula 2-5: ; When p is not When, calculate formula 2-6: ; If (α （3） +1) is an even number, then Zft （p） The calculation formula is: ; Step S25125: According to the relationship between the primary and secondary beams defined in steps S25122 to S25124, calculate the load-bearing of the 1st to (ld×hd)th load-bearing columns of the blth layer: Zll(1)~Zll(ld×hd), and extract the maximum value as the ideal load-bearing Lg of the blth layer. （2） .

[0013] Furthermore, the specific steps of step S25122 are as follows: Step S251221: Set the first (α （1） +1) For the load-bearing column as the first-level force component column, calculate the area A （1） The load-bearing capacity Zff of the primary force column: ; Step S251222: Set the first to the (α （1） +1) The load-bearing column is used as a secondary force-component column; the area B （1） The load-bearing capacity of the i-th pair of secondary force-component columns is recorded as: Zft （i） ; judgement (α （1） +1) to determine the parity of Zft （i） Calculation formula of If (α （1） +1) is an odd number, then Zft （i） The calculation formulas are Calculation Formula 2-1 and Calculation Formula 2-2; When i is When, calculate formula 2-1: ; When I don't When, calculate formula 2-2: ; If (α （1） +1) is an even number, then Zft （i） The calculation formula is: .

[0014] Furthermore, the specific steps of step S3 are as follows: Step S31: obtaining the number of floors gt of the load-bearing building to be reinforced in the target building, and calculating the reinforcement thickness of the load-bearing columns of each load-bearing building to be reinforced in the target building; Step S311: Obtain the total load-bearing capacity of the target building from the (gt+1)th floor to the blth floor: ZQ （gt+1） ~ZQ （bl） ; Calculate ZQ （gt+1） ~ZQ （bl） The sum of is denoted as aZQ; Step S312: Obtain the number of longitudinal load-bearing columns ld, the number of transverse load-bearing columns hd, the maximum load-bearing Qz of the load-bearing columns, the deadweight ZQT of the load-bearing columns, and obtain the length Zh, cross-sectional area Zs, and compressive coefficient Zc of the load-bearing columns; Step S313: Calculate the thickness Δad of the load-bearing column of the gtth floor （gt） : ; Similarly, calculate the thickness of the load-bearing columns of the (gt-1)th floor and the thickness of the load-bearing columns from (gt-2) to the first floor; Step S32: obtaining the number of floors to be adjusted in the target building, gh, and calculating the adjusted height of each floor to be adjusted in the target building; Step S321: Obtain the total load-bearing ZQ of the target building's (gh+1)th to blth floors （gh+1） ~ZQ （bl） ; Calculate ZQ （gh+1） ~ZQ （bl） The sum of is denoted as bZQ; Calculate the additional load ΔQQ, ΔQQ = bZQ - Qz × (lh × ld); Step S322: Record the adjusted floor height as TTh; If only the floor heights from the (gh+1)th to the blth floors are adjusted, the calculation formula for TTh is: ; If all floor heights are adjusted, the calculation formula for TTh is: ; Among them, ZZQ represents ZQ （1） ~ZQ （bl） of and; Step S33: Summarize the data in steps S31 to S32 to obtain new construction information.

[0015] A construction analysis and control system based on big data analysis technology, the system comprising: Data acquisition module: used to obtain the design information of the target building; The analysis and optimization module includes: a data analysis submodule and a design optimization submodule; Data analysis submodule: used to obtain population changes in the target area and determine the number of additional buildings to be built; based on the design information, calculate the expected load of the target building; According to the expected load, a mathematical model is built for the target building to calculate the most ideal load-bearing, ideal load-bearing, unideal load-bearing and worst load-bearing of each floor of the target building, and to determine whether the load-bearing of each floor of the target building is reasonable. If it is reasonable, no treatment will be done; if it is unreasonable, the load-bearing building to be reinforced will be extracted; Design optimization submodule: It is used to perform secondary mathematical modeling of the target building according to the expected load, analyze the impact of floor height on the load-bearing capacity of the target building, and determine whether the floor design is reasonable. If it is reasonable, no processing will be done; if it is unreasonable, the floors to be adjusted will be extracted; According to the load-bearing buildings to be reinforced and the floors to be adjusted, the reinforcement thickness of the load-bearing columns of each floor of the target building and the adjusted floor height of each floor are calculated respectively to obtain new construction information; Construction monitoring module: used to obtain the construction data of the target building during the construction process in real time, compare it with the new construction information, mark the locations in the target building that do not conform to the new construction information, and issue an alarm.

[0016] Compared with the prior art, the present invention has the following beneficial effects: Monitoring and early warning: Before construction, the present invention obtains the design information of the target building, performs mathematical modeling and data analysis on the load-bearing capacity of the target building according to the design information, finds out the unreasonable parts of the load-bearing structure of the target building and gives construction suggestions; during construction, the present invention obtains various structural parameters of the target building in real time and compares them with the modified design information, finds construction weaknesses in real time and gives alarms to avoid the occurrence of engineering quality problems.

[0017] Improve construction quality and safety: The present invention can timely discover quality problems during the construction process by monitoring construction quality-related data (such as material strength, target floor, etc.). After the construction is completed, the overall structure of the target building can be analyzed to find the location of load-bearing defects and avoid major quality accidents.

[0018] Scientific data integration and processing: The present invention uses a pure data calculation processing method, with the load-bearing structure of the building as the main analysis object. Based on the design requirements of the target building and the relationship between the load-bearing columns, main beams and secondary beams of the building, the basic design of the target building is analyzed from the perspective of mathematical modeling and physical analysis. Compared with machine learning, the data processing method of the present invention has strong adaptability and stability and will not be contaminated by bad data. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 It is a schematic diagram of the method of the present invention; Figure 2 It is a schematic diagram of the system of the present invention; Figure 3 This is a schematic diagram of the target building structure of the present invention; Figure 4 Schematic diagram of parameter marking of the present invention. DETAILED DESCRIPTION

[0020] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0021] Embodiment 1 See also Figure 1 , a construction analysis and control method based on big data analysis technology includes: Step S1: Obtain design information of the target building; The design information includes: the number of target buildings, the floor heights of the target buildings, the construction information of each floor of the target buildings, the area and thickness of the foundations of the target buildings, and the foundation settlement coefficient of the target buildings (per year); (Target building) The construction information of each floor includes: the number of load-bearing columns, main beams and secondary beams, the length and cross-sectional area of ​​load-bearing columns, the length and cross-sectional area of ​​main beams, the length and cross-sectional area of ​​secondary beams, the number of pre-set rough-finished rooms on each floor and the area of ​​pre-set rough-finished rooms; It should be noted that the "target building" in the present invention means: a residential building or an office building; users or relevant technical personnel can provide design information of different buildings according to actual needs to improve the popularity of the present invention for different buildings.

[0022] It should be noted that the "target building" in the present invention refers to the building for which the present invention (a construction analysis and control method and system based on big data analysis technology) is used to perform construction analysis; the "target area" refers to the city-level area corresponding to the "target building"; Step S2: Obtain the population change of the target area (in the past three years) and determine the additional number of target buildings to be built; calculate the expected load of the target building based on the design information; According to the expected load, a mathematical model is built for the target building to calculate the most ideal load-bearing, ideal load-bearing, unideal load-bearing and worst load-bearing of each floor of the target building, and to determine whether the load-bearing of each floor of the target building is reasonable. If it is reasonable, no treatment will be done; if it is unreasonable, the load-bearing building to be reinforced will be extracted; According to the expected load, the target building is modeled in a secondary mathematical way to analyze the impact of the floor height on the load-bearing capacity of the target building and determine whether the floor design of the target building is reasonable. If it is reasonable, no adjustment will be made; if it is not reasonable, the floors to be adjusted will be extracted. The specific steps of step S2 are as follows: Step S21: Obtain the number of people in the target area in the past three years, recorded as pn （1） 、pn （2） and pn （3） ; Among them, pn （1） represents the number of people in the target area in the first year, pn （2） represents the number of people in the target area in the second year, pn （3） indicates the number of people in the third year in the target area; Calculate the change rate of the number of people in the target area from the third year to the second year and record it as b （3-2） =(pn （2） -pn （3） ) / pn （3） ; The rate of change from the second year to the first year is denoted as b （2-1） =(pn （1） -pn （2） ) / pn （2） ; Step S22: According to b （3-2） and b （2-1） Construct the state transfer matrix and iterate it using the NumPy library function to obtain the matrix B （1） ; Let the receiving matrix {1,0} of (2×1) be denoted as matrix B （2） ; Calculate B （1） Multiply by B （2） , we get the matrix B （3） , calculate the matrix B （3） The average value of all parameters in is taken as the rate of change of the population in the target area (this year), recorded as bp; Get the current population of the target area, recorded as pp; calculate the expected number of home buyers in the target area (this year) recorded as qp, the calculation formula of qp is: qp = [(1 + bp) × pn （1） ]-pp; Step S23: the number of target buildings is recorded as bn, and the floor height of the target building is recorded as bl; The number of pre-set rough houses corresponding to the first, second, and blth floors of the target building is recorded as f （1） 、f （2） ~f （bl） ; Calculate f （1） ~f （bl） The sum of is written as af; Determine whether [(qp / 2) / (bn×bl×af)]≤1 holds; If true, it means that the number of target buildings is sufficient; If not, it means that the number of target buildings is small and additional target buildings need to be built. The number of additional target buildings is recorded as gb. The calculation formula of gb is: ; Among them, gb is rounded up; Step S24: record the foundation area of ​​the target building as Ds, the foundation thickness as Dh; record the foundation settlement coefficient of the target building (per year) as bd; Obtain the bearing coefficient of the target building foundation, recorded as Dc; calculate the expected load of the target building, recorded as Qtt; the calculation formula of Qtt is: Qtt = bd × (Ds × Dh × Dc); Step S25: Please refer to Figure 3 and Figure 4 , taking the north direction of the target building as the longitudinal positive direction and the east direction of the target building as the transverse positive direction, the number of longitudinal load-bearing columns of the target building is recorded as ld, and the number of transverse load-bearing columns of the target building is recorded as hd; The length of the load-bearing column is recorded as Zh, and the cross-sectional area of ​​the load-bearing column is recorded as Zs; the compressive coefficient of the load-bearing column is obtained, recorded as Zc; Calculate the maximum load-bearing capacity of a single load-bearing column, recorded as Qz; the calculation formula of Qz is: Qz = Zc × (Zh × Zs); Divide the expected load equally according to the floors of the target building and analyze whether the structural design of the target building is reasonable; Step S251: Distribute the expected load evenly to each floor of the target building to obtain an average floor load, recorded as Qbl; the calculation formula of Qbl is: Qbl = Qtt / bl; analyze whether the design of the load-bearing columns of each floor of the target building is reasonable; Step S2511: Obtain the number of rough houses preset on the blth floor of the target building （bl） ; Analyze the load-bearing capacity of the target building’s blth floor (i.e., the top floor (not the rooftop) of the target building); Distribute the average floor load to the entire bl-th floor (of the target building) and calculate the optimal load-bearing capacity of each load-bearing column on the bl-th floor, denoted as Lg （1） ; Lg （1） The calculation formula is: LG （1） =Qbl / (ld×hd); Step S2512: obtaining the distance between two adjacent load-bearing columns in the horizontal direction and recording it as Dx, and obtaining the distance between two adjacent load-bearing columns in the vertical direction and recording it as Ly; Assume that the area of ​​each pre-set roughcast room in the bl-th floor of the target building is equal, calculate the ideal load-bearing capacity of each load-bearing column in the bl-th floor, denoted as Lg（2） ; Step S25121: Distribute the average floor load to all the preset rough-finished houses on the blth floor of the (target building). The ideal load of each preset rough-finished house is Qf. The calculation formula of Qf is: Qf=Qbl / f （bl） ; According to the connection between the bl-th layer beam and the main beam (of the target building), define the load-bearing calculation formula for each load-bearing column; Step S25122: Set the secondary beam of the bl-th floor of the (target building) as a horizontal connection; The area of ​​the pre-designed rough house is recorded as: [(α （1） +β （1） )×Ly]×Dx; where α （1） is a rational number not equal to 0, β （1） is a rational number in the interval (0,1); Set the pre-built rough house [(β （1） ×Ly)×Dx] corresponds to the area A （1） , will [(α （1） ×Ly)×Dx] corresponds to the area B （1） ; Step S251221: Set the first (α （1） +1) For the load-bearing column as the first-level force component column, calculate the area A （1） The load-bearing capacity of the primary force component column is recorded as Zff, and the calculation formula of Zff is: (On the premise that the secondary beam is in transverse connection, each pair of primary force component columns has two load-bearing columns, and the corresponding load-bearing capacity of each primary force component column is Zff) ; Step S251222: Set the first to the second (α （1） +1) The load-bearing column is used as a secondary force-component column; the area B （1） The load-bearing capacity of the i-th pair of secondary force-component columns is recorded as: Zft （i） ; The value range of i is: 1~(α （1） +1); (Each pair of secondary force-component columns has two load-bearing columns, and the corresponding load-bearing capacity of each secondary force-component column is Zft （i） ) Judgment (α （1） +1) to determine the parity of Zft （i） Calculation formula of If (α （1） +1) is an odd number, then Zft （i） The calculation formulas are Calculation Formula 2-1 and Calculation Formula 2-2; The calculation formula 2-1 is: ; When i is hour; The calculation formula 2-2 is: ; When I don't hour; If (α （1） +1) is an even number, then Zft （i） The calculation formula is: ; It should be noted that the "(α)" in "step S25122" （1） +1) For the "load-bearing column", it is either a primary force-dividing column or a secondary force-dividing column; Step S25123: Set the secondary beam of the bl-th floor of the (target building) as a longitudinal connection; The area of ​​the pre-designed rough house is recorded as: [(α （2） ×Ly)×(β （2） ×Dx)]; where α （2） is a rational number not equal to 0, β （2） is a rational number in the interval (0,1); (From south to north) the load-bearing capacity of the pre-built rough house on the jth load-bearing column is recorded as: Ztt （i） ; The value range of j is: 1~α （2） ; Judge α （2） The parity of Ztt （i） Calculation formula of Step S251231: If α （2） is an odd number, then Ztt （i） The calculation formulas are Calculation Formula 2-3 and Calculation Formula 2-4; Calculation formula 2-3 is: ; When j is hour; Calculation formula 2-4 is: ; When j is not hour; Step S251232: If α （2r） is an even number, then Ztt （i） The calculation formula is: ; Step S25124: Assume that the secondary beam of the bl-th floor of the (target building) is mixed connection; The area of ​​the pre-designed rough house is recorded as: [(α （3） × Ly) × Dx + (λ （3） ×Ly×β （3） ×Dx)]; where α （3） is a rational number not equal to 0, β （3） and λ（3） is a rational number in the interval (0,1); Set the preset rough house [(α （3） ×Ly)×Dx] corresponds to the area A （2） , will [(λ （3） ×Ly)×(β （3） × Dx)] corresponds to the area B （2） ; Step S251241: Set the (α （3） +1) For the load-bearing column as the first-level force component column, calculate the area A （2） The load-bearing capacity of the primary force component column is recorded as Zsf, and the calculation formula of Zsf is: (under the premise that the secondary beam is a mixed connection, each pair of primary force component columns has two load-bearing columns, and the corresponding load-bearing capacity of each primary force component column is Zsf) ; Step S251242: Set the first to the second (α （3） +1) The load-bearing column is used as a secondary force-component column; the area B （2） The load bearing capacity of the pth pair of secondary force-bearing columns is recorded as: Zst （i） ; The value range of p is: 1~(α （3） +1); (Each pair of secondary force-component columns has two load-bearing columns, and the corresponding load-bearing capacity of each secondary force-component column is Zst （p） ) Judgment (α （3） +1) to determine the parity of Zst （p） Calculation formula of If (α （3） +1) is an odd number, then Zst （p） The calculation formulas are Calculation Formula 2-5 and Calculation Formula 2-6; The calculation formula 2-5 is: ; When p is hour; The calculation formula 2-6 is: ; When p is not hour; If (α （3） +1) is an even number, then Zft （p） The calculation formula is: ; It should be noted that the "(α)" in "step S25124" （3） +1) For the "load-bearing column", it is either a primary force-dividing column or a secondary force-dividing column; Step S25125: According to the load-bearing calculation formula of each load-bearing column defined in steps S25122 to S25124 and the connection between the secondary beam and the main beam in the bl-th layer, calculate the load-bearing of the first, second, to the (ld×hd)th load-bearing columns in the bl-th layer, recorded as Zll(1), Zll(2) to Zll(ld×hd); Extract the maximum value among Zll(1)~Zll(ld×hd) as the ideal load-bearing value Lg of each load-bearing column in the blth layer. （2） ; Step S2513: Assume that the area of ​​each pre-set rough housing in the bl-th floor of the target building is not equal (or not completely equal), calculate the undesirable load-bearing capacity of each load-bearing column in the bl-th floor, denoted as Lg （3） ; Step S25131: Set the first to the fth layers of the bl layer （bl） The area of ​​the pre-designed rough house is recorded as: fs(1)~fs(f （bl） ); Calculate fs(1)~fs(f （bl） ), denoted as afs; The area of ​​the kth preset rough house on the blth layer is recorded as fs(k), and the value range of k is: 1~f （bl） ; The calculation formula for the load of the kth preset rough housing on the blth layer is defined as Formula 2-7. The mathematical expression of Formula 2-7 is: Qfc(k)=(fs(k) / afs)×Qbl; Among them, Qfc(k) represents the load distribution of the kth preset rough house on the blth floor; Step S25132: fs(1)~fs(f （bl） ) into equation 2-7 to calculate the 1st to fth （bl） The load distribution of the pre-set rough house: Qfc (1) ~ Qfc (f （bl） ); The 1st to fth （bl） The ideal load Qf of the pre-set rough house is replaced by Qfc (1) ~ Qfc (f （bl） ), repeat the calculation of the ideal load-bearing capacity Lg （2） The same steps as in step S2512 are used to calculate the undesirable load-bearing capacity of the bl-th layer, and Lg is obtained. （3） ; Step S2514: The worst load-bearing capacity of the (certain) load-bearing column of the bl-th layer (i.e., the weight of the bl-th layer is borne by only one load-bearing column) is recorded as Lg （4） ; Lg （4） The value is: Qbl; Calculate Lg （1） , Lg（2） , Lg （3） , Lg （4） The average of the two is taken as the total load-bearing capacity of each load-bearing column of the bl-th floor, denoted as ZQ （bl） ; Step S2515: Obtain the density of the load-bearing column, recorded as Zρ; calculate the deadweight of the load-bearing column of each floor (of the target building), recorded as ZQT; the calculation formula of ZQT is: ZQT = Zρ × (Zh × Zs) × (ld × hd); Assume that the number of pre-set rough houses on the qth floor of the target building is f （q） ; The value range of q is: 1~(bl-1); The total load-bearing capacity of the qth floor of the target building is denoted as ZQ （q） ; ZQ （q） The calculation formula is: ; ZQ （q） The calculation formula is used as the calculation formula 2-8; the number of preset rough houses f on the 1st to (bl-1)th floors of the (target building) （1） ~f （bl-1） Substitute into equation 2-8 to calculate the combined load-bearing capacity of the 1st to (bl-1)th layers, and obtain ZQ （1） ~ZQ （bl-1） ; Step S2516: Define relation 3: Among them, ZQ （bl-i） Indicates the total load-bearing capacity of the (bl-i)th floor of the (target building), where the value of i ranges from 0 to (bl-1); ZQ （1） ~ZQ （bl） Substitute into equation 3 to determine whether equation 3 is true; If not, it means that the load-bearing capacity of each floor of the target building is reasonable, that is, the design of the load-bearing columns is reasonable; If it is established, it means that the design of the load-bearing columns of the target building is unreasonable; extract the first combined load that makes equation 3 true as the combined load to be reinforced, and record the floor corresponding to the combined load as gt; take the 1st to gtth floors as the load-bearing floors to be reinforced; (1<gt<bl) Step S252: Concentrate the expected load on the roof of the target building to determine whether the floor design of the target building is reasonable; Step S2521: Get the length of the target building, record it as Jl, and the width as Jh, and define equation 4: ; Among them, θ （1-bl） represents the angle between the diagonal of the first floor (the bottom of the building) and the blth floor, θ（1-bl） The calculation formula is: ; Step S2522: Determine whether relational expression 4 holds true; If not, it means that the floor height design of the target building is reasonable; If it is established, it means that the target building has a higher preset floor height, and the reasonable floor height of the target building is analyzed and the process goes to step S2523; Step S2523: Define relation 5: ; Among them, θ （1-g） represents the angle between the first floor (the bottom of the building) and the diagonal line of the g-th floor, θ （1-g） The calculation formula is: ; The value range of g is: 1~bl; Substitute 1 to bl into g in equation 5 in turn, extract the first floor height that satisfies equation 5, and record it as gh; Take the ghth to blth floors as the floors to be adjusted (1<gh≤bl).

[0023] Step S3: According to the load-bearing buildings to be reinforced and the floors to be adjusted, respectively calculate the load-bearing column reinforcement thickness of each floor of the target building and the adjusted building height of each floor to obtain new construction information; Obtain the construction data of the target building during the (actual) construction process in real time, compare it with the new construction information, mark the locations in the target building that do not conform to the new construction information, and issue an alarm; Construction data include: actual load-bearing wall thickness, actual floor height, and actual load-bearing structure compression coefficient of the target building during actual construction; The specific steps of step S3 are as follows: Step S31: obtaining the number of floors gt of the load-bearing building to be reinforced in the target building, and calculating the reinforcement thickness of the load-bearing columns of each load-bearing building to be reinforced in the target building; Step S311: Obtain the total load-bearing capacity of the target building from the (gt+1)th floor to the blth floor, and obtain ZQ （gt+1） ~ZQ （bl） ; Calculate ZQ （gt+1） ~ZQ （bl） The sum of is denoted as aZQ; Step S312: Obtain the number of longitudinal load-bearing columns ld and the number of transverse load-bearing columns hd of each floor of the target building; Get the maximum load-bearing Qz of the load-bearing column (before adjustment) and the self-weight ZQT of the load-bearing column on each floor; Obtain the length Zh of the load-bearing column, the cross-sectional area Zs of the load-bearing column, and the compressive coefficient Zc of the load-bearing column; Step S313: Calculate the thickness of the load-bearing column of the gtth floor, denoted as Δad （gt） ; ; Calculate the thickness of the load-bearing column of the (gt-1)th floor, denoted as Δad （gt-1） ; ; Repeat the calculation of Δad （gt-1） The same process is used to calculate the thickness of the load-bearing columns from the (gt-2)th to the 1st floor; Step S32: obtaining the number of floors to be adjusted in the target building, gh, and calculating the adjusted height of each floor to be adjusted in the target building; Step S321: Obtain the total load-bearing capacity of the target building from the (gh+1)th to the blth floors, and obtain ZQ （gh+1） ~ZQ （bl） ; Calculate ZQ （gh+1） ~ZQ （bl） The sum of is denoted as bZQ; Calculate the additional load of the (gh+1)th to blth floors relative to the maximum load of the single-layer load-bearing columns, denoted as ΔQQ; the calculation formula of ΔQQ is: ΔQQ=bZQ-Qz×(lh×ld); Step S322: Record the adjusted floor height as TTh; If only the floor heights from the (gh+1)th to the blth floors are adjusted, the calculation formula for TTh is: ; If the heights of all floors from the 1st to the blth floor are adjusted, the calculation formula for TTh is: ; Among them, ZZQ represents the load-bearing ZQ of the first to the bl layer （1） ~ZQ （bl） of and; Step S33: Summarize the data in steps S31 to S32 to obtain new construction information; Acquire the construction data of the target building during the (actual) construction process in real time, compare it with the new construction information, mark the locations in the target building that do not conform to the new construction information, and issue an alarm.

[0024] Embodiment 2 See also Figure 2 ,A building construction analysis and control system based on big data analysis technology includes: a data acquisition module, an analysis and optimization module, and a construction monitoring module; Data acquisition module: used to obtain the design information of the target building; The analysis and optimization module includes: a data analysis submodule and a design optimization submodule; Data analysis submodule: used to obtain the population changes in the target area (in the past three years) and determine the number of additional buildings to be built; based on the design information, calculate the expected load of the target building; According to the expected load, a mathematical model is built for the target building to calculate the most ideal load-bearing, ideal load-bearing, unideal load-bearing and worst load-bearing of each floor of the target building, and to determine whether the load-bearing of each floor of the target building is reasonable. If it is reasonable, no treatment will be done; if it is unreasonable, the load-bearing building to be reinforced will be extracted; Design optimization submodule: used to perform secondary mathematical modeling of the target building according to the expected load, analyze the impact of the floor height (of the target building) on ​​the load-bearing capacity of the target building, and determine whether the floor design (of the target building) is reasonable. If it is reasonable, no processing will be done; if it is unreasonable, the floors to be adjusted will be extracted; According to the load-bearing buildings to be reinforced and the floors to be adjusted, the reinforcement thickness of the load-bearing columns of each floor of the target building and the adjusted floor height of each floor are calculated respectively to obtain new construction information; Construction monitoring module: used to obtain the construction data of the target building during the (actual) construction process in real time, compare it with the new construction information, mark the locations in the target building that do not conform to the new construction information, and issue an alarm.

[0025] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technical personnel in this field according to actual conditions. For example, if there are weight coefficients and proportional coefficients, their set sizes are to quantify each parameter to obtain a specific value, which is convenient for subsequent comparison. Regarding the size of the weight coefficient and the proportional coefficient, it is sufficient as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0026] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A construction analysis and control method based on big data analysis technology, characterized in that: The method comprises: Step S1: Obtain design information of the target building; Step S2: Obtain the population change in the target area and determine the additional number of target buildings to be built; calculate the expected load of the target building based on the design information; According to the expected load, a mathematical model is built for the target building to calculate the most ideal load-bearing, ideal load-bearing, unideal load-bearing and worst load-bearing of each floor of the target building, and to determine whether the load-bearing of each floor of the target building is reasonable. If it is reasonable, no treatment will be done; if it is unreasonable, the load-bearing building to be reinforced will be extracted; According to the expected load, the target building is modeled twice mathematically to analyze the impact of floor height on the load-bearing capacity of the target building and determine whether the floor design is reasonable. If it is reasonable, no processing will be done. If it is unreasonable, the floors to be adjusted will be extracted. Step S3: According to the load-bearing buildings to be reinforced and the floors to be adjusted, respectively calculate the load-bearing column reinforcement thickness of each floor of the target building and the adjusted building height of each floor to obtain new construction information; The construction data of the target building during the construction process is obtained in real time and compared with the new construction information, and the locations in the target building that do not conform to the new construction information are marked and an alarm is issued.

2. A construction analysis and control method based on big data analysis technology according to claim 1, characterized in that: The specific steps of step S2 are as follows: Step S21: Obtain the number of target buildings, the floor height of the target buildings, the number of pre-set rough houses on each floor, the area and thickness of the foundation of the target buildings, and the foundation settlement coefficient of the target buildings to obtain design information; Number of people in the target area in the past year （1） ; Calculate the rate of change in the number of people from the third year to the second year b （3-2） , The rate of change in the number of people from the second year to the first yearb （2-1） ; Step S22: According to b （3-2） and b （2-1） Construct the state transfer matrix B （1） ; Let the (2×1) matrix B be （2） , calculate B （1） Multiply by B （2） , we get the matrix B （3） ; Calculate the matrix B （3） The average value of the parameters in the target area is used as the population change rate in bp; Get the current number of people pp and calculate the expected number of buyers qp, qp = [(1 + bp) × pn （1） ]-pp; Step S23: the number of target buildings is recorded as bn, and the floor height of the target building is recorded as bl; The number of pre-set rough houses corresponding to the 1st to blth floors of the target building is recorded as f （1） ~f （bl） , and sum them to get af; Determine whether [(qp / 2) / (bn×bl×af)]≤1 holds; If true, no processing will be done; if not true, the number of additional construction gb of the target building will be calculated; ； Step S24: record the foundation area of ​​the target building as Ds, the foundation thickness as Dh, and the foundation settlement coefficient as bd; and obtain the bearing coefficient Dc of the foundation; Calculate the expected load Qtt of the target building; Qtt = bd × (Ds × Dh × Dc); Step S25: Count the number of longitudinal load-bearing columns of the target building, record it as ld, and count the number of transverse load-bearing columns of the target building, record it as hd; The length of the load-bearing column is recorded as Zh, the cross-sectional area is recorded as Zs, and the compression coefficient of the load-bearing column is recorded as Zc; Calculate the maximum load-bearing capacity Qz, Qz = Zc × (Zh × Zs); analyze whether the structure of the target building is reasonable, and proceed to step S3.

3. A construction analysis and control method based on big data analysis technology according to claim 2, characterized in that: The specific steps of step S25 are as follows: Step S251: Calculate the average floor load Qbl, Qbl=Qtt / bl; analyze the design of the load-bearing columns of each floor of the target building; Step S252: Concentrate the expected load on the roof of the target building and determine the floor design of the target building; Step S2521: Obtain the length Jl and width Jh of the target building and define equation 4: ； Among them, ZQT represents the deadweight of the load-bearing columns of each floor; θ （1-bl） Represents the angle between the diagonal lines of the 1st floor and the blth floor: Step S2522: Determine whether relational expression 4 holds true; If not, no processing will be done; if true, reasonable floor height will be analyzed; Step S2523: Define relation 5: ； Among them, θ （1-g） Represents the angle between the diagonal lines from the 1st floor to the gth floor: Substitute 1 to bl into equation 5 in sequence, extract the first floor height that satisfies equation 5, record it as gh, and take the ghth to blth floors as the floors to be adjusted.

4. A construction analysis and control method based on big data analysis technology according to claim 3, characterized in that: The specific steps of step S251 are as follows: Step S2511: Obtain the number of rough houses preset on the blth floor of the target building （bl） ; Analyze the load-bearing capacity of the bl layer; Calculate the optimal load-bearing capacity Lg of the bl layer （1） :Lg （1） =Qbl / (ld×hd); Step S2512: obtaining the distance Dx between two adjacent load-bearing columns in the horizontal direction and the distance Ly between two adjacent load-bearing columns in the vertical direction; Assuming that the area of ​​each pre-designed rough house is equal, calculate the ideal load-bearing capacity Lg of the blth floor （2） ; Step S2513: Assuming that the area of ​​each pre-set roughcast house is not equal, calculate the undesirable load-bearing capacity Lg of the bl-th floor （3） ; Step S25131: Set the first to the fth layers of the bl layer （bl） The area of ​​the pre-designed rough house is recorded as: fs(1)~fs(f （bl） ); Calculate fs(1)~fs(f （bl） ), denoted as afs; The area of ​​the kth preset rough house on the blth layer is recorded as fs(k), and the value range of k is: 1~f （bl） ; Define calculation formula 2-7: Qfc(k) = (fs(k) / afs) × Qbl; Among them, Qfc(k) represents the load distribution of the kth preset rough house on the blth floor; Step S25132: fs(1)~fs(f （bl） ) into the calculation formula 2-7 to obtain: Qfc (1) ~ Qfc (f （bl） ); The 1st to fth （bl） The ideal load Qf of the pre-set rough house is replaced by Qfc (1) ~ Qfc (f （bl） ), repeat the calculation of Lg （2） The same steps as above are used to calculate the undesirable load Lg （3） .

5. A construction analysis and control method based on big data analysis technology according to claim 4, characterized in that: The subsequent steps of step S2513 are as follows: Step S2514: Record the worst load-bearing capacity of the load-bearing column of the blth floor as Lg （4） , Lg （4） =Qbl; Calculate Lg （1） To Lg （4） The average of the total load-bearing ZQ of each load-bearing column on the blth floor （bl） ; Step S2515: Obtain the density Zρ of the load-bearing column; calculate the deadweight ZQT of the load-bearing column of each floor, ZQT = Zρ × (Zh × Zs) × (ld × hd); Assume that the number of pre-built rough houses on the qth floor is f （q） ; The total load-bearing capacity of the qth layer is recorded as ZQ （q） : ； ZQ （q） The calculation formula is used as the calculation formula 2-8; the number of pre-set rough houses on the 1st to (bl-1)th floors f （1） ~f （bl-1） Substitute into equation 2-8 to calculate the combined load-bearing capacity of the 1st to (bl-1)th layers, and obtain ZQ （1） ~ZQ （bl-1） ; Step S2516: Define relation 3: Among them, ZQ （bl-i） It represents the combined load-bearing capacity of the (bl-i)th layer; ZQ （1） ~ZQ （bl） Substitute into equation 3 to determine whether equation 3 is true; If this is not true, it means that the load-bearing capacity of each floor of the target building is reasonable; If it is established, it means that the design of the load-bearing columns of the target building is unreasonable; extract the first combined load that makes equation 3 true as the reinforced combined load, and record the floor corresponding to the reinforced combined load as gt; take the 1st to gtth floors as the load-bearing floors to be reinforced.

6. The construction analysis and control method based on big data analysis technology according to claim 4 is characterized in that: The specific steps of step S2512 are as follows: Step S25121: Assume the ideal load of the rough house is Qf, Qf = Qbl / f （bl） ; According to the connection between the bl-th layer beam and the main beam, define the load-bearing calculation formula of each load-bearing column; Step S25122: Set the secondary beam of the bl-th layer as a horizontal connection; The area of ​​the pre-designed rough house is recorded as: [(α （1） +β （1） )×Ly]×Dx;α （1） is a rational number not equal to 0, β （1） is a rational number in the interval (0,1); Set the pre-built rough house [(β （1） ×Ly)×Dx] corresponds to the area A （1） , will [(α （1） ×Ly)×Dx] corresponds to the area B （1） ; Step S25123: Set the secondary beam of the bl-th layer to be longitudinally connected; The area of ​​the pre-designed rough house is recorded as: [(α （2） ×Ly)×(β （2） ×Dx)]; where α （2） is a rational number not equal to 0, β （2） is a rational number in the interval (0,1); The load-bearing capacity of the pre-built rough house on the jth load-bearing column is recorded as: Ztt （i） ; The value range of j is: 1~α （2） ; Judge α （2） The parity of Ztt （i） Calculation formula of Step S251231: If α （2） is an odd number, then Ztt （i） The calculation formulas are Calculation Formula 2-3 and Calculation Formula 2-4; When j is When; calculation formula 2-3 is: ; When j is not When; calculation formula 2-4 is: ； Step S251232: If α （2r） is an even number, then Ztt （i） The calculation formula is: 。 7. A construction analysis and control method based on big data analysis technology according to claim 6, characterized in that: The subsequent steps of step S25123 are as follows: Step S25124: Set the secondary beam of the bl-th layer to be mixed connection; The area of ​​the pre-designed rough house is recorded as: [(α （3） × Ly) × Dx + (λ （3） ×Ly×β （3） ×Dx)]; where α （3） is a rational number not equal to 0, β （3） and λ （3） is a rational number in the interval (0,1); Set the preset rough house [(α （3） ×Ly)×Dx] corresponds to the area A （2） , will [(λ （3） ×Ly)×(β （3） × Dx)] corresponds to the area B （2） ; Step S251241: Set the first (α （3） +1)For the load-bearing column as the first-level force component column, calculate the area A （2） The load-bearing capacity of the primary force component column is recorded as Zsf: ； Step S251242: Set the first to the (α （3） +1) The load-bearing column is used as a secondary force-component column; the area B （2） The load bearing capacity of the pth pair of secondary force-bearing columns is recorded as: Zst （i） ; The value range of p is: 1~(α （3） +1); Judgment (α （3） +1) to determine the parity of Zst （p） Calculation formula of If (α （3） +1) is an odd number, then Zst （p） The calculation formulas are Calculation Formula 2-5 and Calculation Formula 2-6; When p is When, calculate formula 2-5: ; When p is not When, calculate formula 2-6: ; If (α （3） +1) is an even number, then Zft （p） The calculation formula is: ; Step S25125: According to the relationship between the primary and secondary beams defined in steps S25122 to S25124, calculate the load-bearing of the 1st to (ld×hd)th load-bearing columns of the blth layer: Zll(1)~Zll(ld×hd), and extract the maximum value as the ideal load-bearing Lg of the blth layer. （2） .

8. The construction analysis and control method based on big data analysis technology according to claim 6 is characterized in that: The specific steps of step S25122 are as follows: Step S251221: Set the first (α （1） +1)For the load-bearing column as the first-level force component column, calculate the area A （1） The load-bearing capacity Zff of the primary force column: ； Step S251222: Set the first to the (α （1） +1) The load-bearing column is used as a secondary force-component column; the area B （1） The load-bearing capacity of the i-th pair of secondary force-component columns is recorded as: Zft （i） ; judgement (α （1） +1) to determine the parity of Zft （i） Calculation formula of If (α （1） +1) is an odd number, then Zft （i） The calculation formulas are Calculation Formula 2-1 and Calculation Formula 2-2; When i is When, calculate formula 2-1: ; When I don't When, calculate formula 2-2: ; If (α （1） +1) is an even number, then Zft （i） The calculation formula is: .

9. The construction analysis and control method based on big data analysis technology according to claim 2 is characterized in that: The specific steps of step S3 are as follows: Step S31: obtaining the number of floors gt of the load-bearing building to be reinforced in the target building, and calculating the reinforcement thickness of the load-bearing columns of each load-bearing building to be reinforced in the target building; Step S311: Obtain the total load-bearing capacity of the target building from the (gt+1)th floor to the blth floor: ZQ （gt+1） ~ZQ （bl） ; Calculate ZQ （gt+1） ~ZQ （bl） The sum of is denoted as aZQ; Step S312: Obtain the number of longitudinal load-bearing columns ld, the number of transverse load-bearing columns hd, the maximum load-bearing Qz of the load-bearing columns, the deadweight ZQT of the load-bearing columns, and obtain the length Zh, cross-sectional area Zs, and compressive coefficient Zc of the load-bearing columns; Step S313: Calculate the thickness Δad of the load-bearing column of the gtth floor （gt） : ； Similarly, calculate the thickness of the load-bearing columns of the (gt-1)th floor and the thickness of the load-bearing columns from (gt-2) to the first floor; Step S32: obtaining the number of floors to be adjusted in the target building, gh, and calculating the adjusted height of each floor to be adjusted in the target building; Step S321: Obtain the total load-bearing ZQ of the target building's (gh+1)th to blth floors （gh+1） ~ZQ （bl） ; Calculate ZQ （gh+1） ~ZQ （bl） The sum of is denoted as bZQ; Calculate the additional load ΔQQ, ΔQQ = bZQ - Qz × (lh × ld); Step S322: Record the adjusted floor height as TTh; If only the floor heights from the (gh+1)th to the blth floors are adjusted, the calculation formula for TTh is: ； If all floor heights are adjusted, the calculation formula for TTh is: ; Among them, ZZQ represents ZQ （1） ~ZQ （bl） of and; Step S33: Summarize the data in steps S31 to S32 to obtain new construction information.

10. A construction analysis and control system based on big data analysis technology, applicable to a construction analysis and control method based on big data analysis technology as described in any one of claims 1 to 9, characterized in that: The system comprises: Data acquisition module: used to obtain the design information of the target building; The analysis and optimization module includes: a data analysis submodule and a design optimization submodule; Data analysis submodule: used to obtain population changes in the target area and determine the number of additional buildings to be built; based on the design information, calculate the expected load of the target building; According to the expected load, a mathematical model is built for the target building to calculate the most ideal load-bearing, ideal load-bearing, unideal load-bearing and worst load-bearing of each floor of the target building, and to determine whether the load-bearing of each floor of the target building is reasonable. If it is reasonable, no treatment will be done; if it is unreasonable, the load-bearing building to be reinforced will be extracted; Design optimization submodule: used to perform secondary mathematical modeling of the target building according to the expected load, and determine whether the floor design is reasonable. If it is reasonable, no processing will be done; if it is unreasonable, the floors to be adjusted will be extracted; According to the load-bearing buildings to be reinforced and the floors to be adjusted, the reinforcement thickness of the load-bearing columns of each floor of the target building and the adjusted floor height of each floor are calculated respectively to obtain new construction information; Construction monitoring module: used to obtain the construction data of the target building during the construction process in real time, compare it with the new construction information, mark the locations in the target building that do not conform to the new construction information, and issue an alarm.

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