A building construction analysis and control method and system based on big data analysis technology

Abstract

The present invention provides a building construction analysis and control method and system based on big data analysis technology, belonging to the field of analysis and control; it solves the problem of difficult building construction analysis; specifically as follows: Step S1: Obtain the design information of the target building; Step S2: Calculate the additional construction quantity of the target building; according to the design information, calculate the expected load of the target building; perform a mathematical modeling on the target building according to the expected load, judge whether the load-bearing of each floor of the target building is reasonable, and extract the floors to be strengthened for load-bearing; judge whether the floor design is reasonable, and extract the floors to be adjusted; Step S3: According to the floors to be strengthened for load-bearing and the floors to be adjusted, calculate the reinforcement thickness of the load-bearing columns and the adjusted floor height of each floor to obtain new construction information; mark the positions that do not conform to the new construction information in the target building and give an alarm; through obtaining, analyzing and processing the relevant data of the target building, the present invention supervises and adjusts the load-bearing structure of the building to ensure the smooth completion of the building.

Description

Technical Field

[0001] A building construction analysis and control method and system based on big data analysis technology according to the present invention relates to the field of analysis and control. Background Art

[0002] The existing methods and systems for building construction analysis have the following deficiencies:

[0003] High initial investment: Deploying a big data analysis system requires a large amount of technical investment, including data acquisition hardware, system integration, training, etc., with relatively high initial costs; moreover, the systems and tools used by different participants in the construction industry (such as construction teams, suppliers, project management parties, etc.) are inconsistent, making it difficult to handle data integration, docking, and standardization.

[0004] Difficulty in data acquisition: The data acquisition at a building construction site may be affected by various 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 failures or data missing may cause the system to give false warnings, relying on high-quality data and technical support.

[0005] Difficulty in use and training cost: For building managers who are not familiar with big data technology, it takes a relatively long training period to master and use such a complex system. Summary of the Invention

[0006] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a building construction analysis and control method and system based on big data analysis technology, aiming to solve the problem of great difficulty in building construction analysis.

[0007] To achieve the above purpose, the present invention is realized through the following technical solutions: A building construction analysis and control method based on big data analysis technology, the method includes:

[0008] Step S1: Obtain the design information of the target building;

[0009] Step S2: Obtain the population change in the target area, determine the additional construction quantity of the target building; according to the design information, calculate the expected load of the target building;

[0010] According to the expected load, conduct a primary mathematical modeling on the target building, calculate the most ideal load-bearing, ideal load-bearing, non-ideal load-bearing, and poor load-bearing of each floor of the target building, and determine whether the load-bearing of each target floor is reasonable. If it is reasonable, no treatment is required; if it is unreasonable, extract the floors with load-bearing to be strengthened;

[0011] According to the expected load, a secondary mathematical model of the target building is established to analyze the influence of the floor height on the load-bearing capacity of the target building, and to judge whether the floor design is reasonable. If it is reasonable, no treatment is required; if it is unreasonable, the floors to be adjusted are extracted.

[0012] Step S3: According to the floors of the building to be strengthened in load-bearing and the floors to be adjusted, calculate the reinforcement thickness of the load-bearing columns on each floor of the target building and the adjusted floor height of each floor to obtain new construction information.

[0013] Obtain the construction data of the target building during the construction process in real time, compare it with the new construction information, mark the positions in the target building that do not conform to the new construction information, and give an alarm.

[0014] Furthermore, the specific steps of step S2 are as follows:

[0015] Step S21: Obtain the number of target buildings, the floor height of the target building, the number of prefabricated roughcast houses preset on each floor, the area and thickness of the foundation of the target building, and the foundation settlement coefficient of the target building to obtain design information.

[0016] The number of people pn in the target area in the past year （1） ; Calculate the population change rate b from the third year to the second year （3-2） ,

[0017] The population change rate b from the second year to the first year （2-1） ;

[0018] Step S22: According to b （3-2） and b （2-1） Construct the state transition matrix B （1） ;

[0019] Define the matrix B of (2×1) （2） , calculate B （1） multiplied by B （2） , to obtain the matrix B （3） ;

[0020] Calculate the average value of the parameters in the matrix B （3） as the population change rate bp of the target area;

[0021] Obtain the current population pp and calculate the expected number of people qp who want to buy a house, qp = [(1 + bp) × pn （1） - pp;

[0022] Step S23: Denote the number of target buildings as bn and the floor height of the target building as bl;

[0023] Denote the number of prefabricated roughcast houses preset on the 1st to bl-th floors of the target building as f （1） ~f （bl） , and sum them up to obtain af;

[0024] Determine whether [(qp / 2) / (bn×bl×af)] ≤ 1 holds;

[0025] If it holds, no processing is performed; if it does not hold, calculate the additional construction quantity gb of the target building;

[0026] ;

[0027] Step S24: Denote 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 Dc of the foundation; calculate the expected load Qtt of the target building;

[0028] Qtt = bd×(Ds×Dh×Dc);

[0029] Step S25: Count the number of longitudinal load-bearing columns of the target building and denote it as ld, and count the number of transverse load-bearing columns of the target building and denote it as hd;

[0030] Denote the length of the load-bearing column as Zh, the cross-sectional area as Zs, and the compressive coefficient of the load-bearing column as Zc;

[0031] Calculate the maximum load-bearing capacity Qz, Qz = Zc×(Zh×Zs); analyze whether the structure of the target building is reasonable and enter Step S3.

[0032] Furthermore, the specific steps of the said Step S25 are as follows:

[0033] Step S251: Calculate the average floor load Qbl, Qbl = Qtt / bl; analyze the design of the load-bearing columns on each floor of the target building;

[0034] Step S252: Concentrate the expected load on the roof of the target building and judge the floor design of the target building;

[0035] Step S2521: Obtain the length Jl and width Jh of the target building and define relationship 4:

[0036] ;

[0037] where, ZQT represents the self-weight of the load-bearing columns on each floor;

[0038] θ （1-bl） represents the angle of the diagonal from the 1st floor to the bl-th floor:

[0039] Step S2522: Judge whether relationship 4 holds;

[0040] If it does not hold, no processing is performed; if it holds, analyze the reasonable floor height;

[0041] Step S2523: Define relationship 5:

[0042] ;

[0043] Among them, θ （1-g） represents the included angle of the diagonal from the 1st floor to the gth floor:

[0044] Substitute 1 to bl into the relational expression 5 in turn, extract the floor height of the first floor that satisfies the relational expression 5, record it as gh, and use the floors from the ghth floor to the blth floor as the floors to be adjusted.

[0045] Furthermore, the specific steps of the step S251 are as follows:

[0046] Step S2511: Obtain the number f of the preset roughcast houses on the blth floor of the target building （bl） ; Analyze the load-bearing capacity of the blth floor;

[0047] Calculate the most ideal load-bearing capacity Lg of the blth floor （1） : Lg （1） = Qbl / (ld × hd);

[0048] Step S2512: Obtain the spacing Dx between two adjacent transverse load-bearing columns and the spacing Ly between two adjacent longitudinal load-bearing columns.

[0049] Assume that the areas of each preset roughcast house are equal, and calculate the ideal load-bearing capacity Lg of the blth floor （2） ;

[0050] Step S2513: Assume that the areas of each preset roughcast house are not equal, and calculate the non-ideal load-bearing capacity Lg of the blth floor （3） ;

[0051] Step S25131: Denote the areas of the 1st to the f （bl） th preset roughcast houses on the blth floor as: fs(1) ~ fs(f （bl） );

[0052] Calculate the sum of fs(1) ~ fs(f （bl） ), and record it as afs;

[0053] Denote the area of the kth preset roughcast house on the blth floor as fs(k), and the value range of k is: 1 to f （bl） ;

[0054] Define the calculation formula 2-7: Qfc(k) = (fs(k) / afs) × Qbl;

[0055] Among them, Qfc(k) represents the sub-load of the kth preset roughcast house on the blth floor;

[0056] Step S25132: fs(1) ~ fs(f （bl）Substitute into calculation formula 2-7 to obtain: Qfc(1)~Qfc(f （bl） );

[0057] Replace the ideal loads Qf of the 1st to the f （bl） th preset roughcast houses with Qfc(1)~Qfc(f （bl） ) in sequence, and repeat the same steps of calculating Lg （2） to calculate the non-ideal load-bearing Lg （3） .

[0058] Furthermore, the subsequent steps of step S2513 are as follows:

[0059] Step S2514: Denote the poor load-bearing of the load-bearing column on the blth floor as Lg （4） , Lg （4） =Qbl;

[0060] Calculate the average value of Lg （1） to Lg （4） as the combined load-bearing ZQ （bl） of each load-bearing column on the blth floor;

[0061] Step S2515: Obtain the density Zρ of the load-bearing column; calculate the self-weight ZQT of the load-bearing columns on each floor, ZQT = Zρ×(Zh×Zs)×(ld×hd);

[0062] Suppose the number of preset roughcast houses on the qth floor is f （q） ; Denote the combined load-bearing on the qth floor as ZQ （q） :

[0063] ;

[0064] Take the calculation formula of ZQ （q） as calculation formula 2-8; Substitute the number f （1） ~f （bl-1） of the preset roughcast houses on the 1st to the (bl - 1)th floors into calculation formula 2-8 to calculate the combined load-bearing on the 1st to the (bl - 1)th floors, and obtain ZQ （1） ~ZQ （bl-1） ;

[0065] Step S2516: Define relation 3: ; where, ZQ （bl-i） represents the combined load-bearing on the (bl - i)th floor;

[0066] Substitute ZQ （1） ~ZQ （bl） into relation 3 to determine whether relation 3 holds;

[0067] If it does not hold, it means that the load-bearing of each floor of the target building is reasonable;

[0068] If it holds, it indicates that the design of the load-bearing columns of the target building is unreasonable; extract the first combined load that satisfies Equation 3 as the reinforcement combined load, and denote the floor corresponding to the reinforcement combined load as gt; regard the floors from the 1st to the gt-th floor as the floors to be reinforced for load-bearing.

[0069] Further, the specific steps of step S2512 are as follows:

[0070] Step S25121: Assume the ideal load of the roughcast house is Qf, and Qf = Qbl / f （bl） ;

[0071] Define the load-bearing calculation formula for each load-bearing column according to the connection between the secondary beams and the main beams at the bl-th level.

[0072] Step S25122: Assume the secondary beams at the bl-th level are horizontally connected.

[0073] Denote the area of the preset roughcast house as: [((α （1） + β （1） ) × Ly] × Dx; α （1） is a non-zero rational number, and β （1） is a rational number within the interval (0, 1);

[0074] Regard the area corresponding to the preset roughcast house [((β （1） × Ly) × Dx] as area A （1） , and regard the area corresponding to [((α （1） × Ly) × Dx] as area B （1） ;

[0075] Step S25123: Assume the secondary beams at the bl-th level are vertically connected.

[0076] Denote the area of the preset roughcast house as: [((α （2） × Ly) × ((β （2） × Dx))]; where, α （2） is a non-zero rational number, and β （2） is a rational number within the interval (0, 1);

[0077] Denote the load on the j-th load-bearing column of the preset roughcast house as: Ztt （i） ; the value range of j is: 1 to α （2） ; judge the parity of α （2） to determine the calculation formula of Ztt （i） ;

[0078] Step S251231: If α （2） is odd, the calculation formula of Ztt （i） is Equation 2-3 and Equation 2-4;

[0079] When j is ; the calculation formula 2-3 is: ;

[0080] When j is not ; the calculation formula 2-4 is:

[0081] ;

[0082] Step S251232: If α （2r） is an even number, the calculation formula of Ztt （i） is:

[0083] .

[0084] Furthermore, the subsequent steps of the said step S25123 are as follows:

[0085] Step S25124: Assume that the secondary beam of the bl-th layer is a mixed connection;

[0086] Record the area of the preset rough house as: [((α （3） ×Ly)×Dx + (λ （3） ×Ly×β （3） ×Dx)]; where, α （3） is a non-zero rational number, β （3） and λ （3） are rational numbers within the interval (0, 1);

[0087] Take the corresponding area of the preset rough house [((α （3） ×Ly)×Dx] as area A （2） , and take the corresponding area of [((λ （3） ×Ly)×(β （3） ×Dx)] as area B （2） ;

[0088] Step S251241: Take the (α （3） +1)-th pair of load-bearing columns of the preset rough house as the primary force columns, and calculate the load-bearing of area A （2） on the primary force columns as Zsf:

[0089] ;

[0090] Step S251242: Take the 1st to the (α （3） +1)-th pair of load-bearing columns of the preset rough house as the secondary force columns; record the load-bearing of area B （2） on the p-th pair of secondary force columns as: Zst （i） ; the value range of p is: 1 to (α （3） +1);

[0091] Judge (α（3） Determine Zst based on the parity of (α + 1). （p） Calculation formula;

[0092] If (α （3） + 1) is odd, then Zst （p） The calculation formula is calculation formula 2 - 5 and calculation formula 2 - 6;

[0093] When p is , calculation formula 2 - 5: ;

[0094] When p is not , calculation formula 2 - 6: ;

[0095] If (α （3） + 1) is even, then Zft （p） The calculation formula is: ;

[0096] Step S25125: Calculate the load-bearing capacity of the 1st to the (ld × hd)th load-bearing columns on the blth floor, Zll(1) to Zll(ld × hd), according to the primary and secondary beam connections defined in steps S25122 to S25124, and extract the maximum value as the ideal load-bearing capacity Lg of the blth floor （2） .

[0097] Furthermore, the specific steps of step S25122 are as follows:

[0098] Step S251221: Take the (α （1） + 1)th pair of load-bearing columns of the preset roughcast house as the first-level force columns, and calculate the area A （1） The load-bearing capacity Zff of the first-level force columns:

[0099] ;

[0100] Step S251222: Take the 1st to the (α （1） + 1)th pair of load-bearing columns of the preset roughcast house as the second-level force columns; Denote the load-bearing capacity of the area B （1） on the ith pair of second-level force columns as: Zft （i） ; Determine the parity of (α （1） + 1) to determine the calculation formula of Zft （i） ;

[0101] If (α （1） + 1) is odd, then Zft （i） The calculation formula is calculation formula 2 - 1 and calculation formula 2 - 2;

[0102] When i is , calculation formula 2 - 1: ;

[0103] When i is not , calculate Equation 2-2: ;

[0104] If (α （1） + 1) is an even number, then Zft （i） The calculation formula is: .

[0105] Furthermore, the specific steps of step S3 are as follows:

[0106] Step S31: Obtain the number of floors gt of the load-bearing floors to be strengthened in the target building, and calculate the strengthening thickness of the load-bearing columns on each floor of the target building to be strengthened;

[0107] Step S311: Obtain the combined load ZQ （gt+1） ~ZQ （bl） of the (gt + 1)-th to the bl-th floors of the target building; calculate the sum of ZQ （gt+1） ~ZQ （bl） , denoted as aZQ;

[0108] 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 self-weight ZQT of the load-bearing columns, obtain the length Zh, cross-sectional area Zs, and compressive coefficient Zc of the load-bearing columns;

[0109] Step S313: Calculate the thickening amount Δad （gt） of the load-bearing columns on the gt-th floor:

[0110] ;

[0111] Similarly, calculate the thickening amount of the load-bearing columns on the (gt - 1)-th floor and the thickening amount of the load-bearing columns from the (gt - 2)-th to the 1st floor;

[0112] Step S32: Obtain the number of floors gh of the floors to be adjusted in the target building, and calculate the adjusted floor height of each floor of the target building to be adjusted;

[0113] Step S321: Obtain the combined load ZQ （gh+1） ~ZQ （bl） of the (gh + 1)-th to the bl-th floors of the target building; calculate the sum of ZQ （gh+1） ~ZQ （bl） , denoted as bZQ;

[0114] Calculate the additional load ΔQQ, ΔQQ = bZQ - Qz × (lh × ld);

[0115] Step S322: Denote the adjusted floor height as TTh;

[0116] If only the floor heights of the (gh + 1)-th to the bl-th floors are adjusted, the calculation formula for TTh is:

[0117] ;

[0118] If the floor heights of all floors are adjusted, the calculation formula for TTh is:

[0119] ; where, ZZQ represents the sum of ZQ （1） ~ZQ （bl） ;

[0120] Step S33: Summarize the data in Steps S31 to S32 to obtain new construction information.

[0121] A building construction analysis and control system based on big data analysis technology, the system includes:

[0122] Data acquisition module: used to acquire the design information of the target building;

[0123] The analysis and optimization module includes: a data analysis sub-module and a design optimization sub-module;

[0124] Data analysis sub-module: used to obtain the population change in the target area, determine the additional construction quantity of the target building; according to the design information, calculate the expected load of the target building;

[0125] According to the expected load, perform a primary mathematical modeling on the target building, calculate the most ideal load-bearing capacity, ideal load-bearing capacity, non-ideal load-bearing capacity and poor load-bearing capacity of each floor of the target building, and judge whether the load-bearing capacity of each target floor is reasonable. If it is reasonable, no processing is performed. If it is unreasonable, extract the floors to be reinforced for load-bearing;

[0126] Design optimization sub-module: used to perform a secondary mathematical modeling on the target building according to the expected load, analyze the influence of the floor height on the load-bearing of the target building, and judge whether the floor design is reasonable. If it is reasonable, no processing is performed. If it is unreasonable, extract the floors to be adjusted;

[0127] According to the floors to be reinforced for load-bearing and the floors to be adjusted, calculate the reinforcement thickness of the load-bearing columns of each floor of the target building and the adjusted floor height of each floor respectively, to obtain new construction information;

[0128] Construction monitoring module: used to acquire the construction data of the target building during the construction process in real time, compare it with the new construction information, mark the positions in the target building that do not conform to the new construction information, and give an alarm.

[0129] Compared with the prior art, the beneficial effects of the present invention are:

[0130] Monitoring and early warning: Before construction, the present invention obtains the design information of the target building, conducts 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 opinions; during construction, the present invention obtains various structural parameters of the target building in real time and compares them with the modified design information, and searches for construction weak points in real time and gives an alarm to avoid the occurrence of engineering quality problems.

[0131] Improving construction quality and safety: The present invention monitors construction quality-related data (such as material strength, target floor, etc.), can detect quality problems in time during construction, and can also analyze the overall structure of the target building after construction to find out the location of load-bearing defects and avoid the occurrence of major quality accidents.

[0132] Scientific data integration and processing: The present invention uses a pure data operation processing method, takes the load-bearing structure of the building as the main analysis object, and analyzes the foundation design of the target building from the perspectives of mathematical modeling and physical analysis based on the design requirements of the target building and the connection of the building's load-bearing columns - main beams - secondary beams. Compared with machine learning, the data processing method of the present invention has strong adaptability and stability and will not be polluted by bad data. Brief Description of the Drawings

[0133] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, purposes and advantages of the present invention will become more obvious:

[0134] Figure 1 It is a schematic diagram of the method of the present invention;

[0135] Figure 2 It is a schematic diagram of the system of the present invention;

[0136] Figure 3 It is a schematic diagram of the structure of the target building of the present invention;

[0137] Figure 4 It is a schematic diagram of parameter marking of the present invention. Detailed Description of the Embodiment

[0138] To make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0139] Embodiment 1

[0140] Please refer to Figure 1 , a building construction analysis and control method based on big data analysis technology includes:

[0141] Step S1: Obtain the design information of the target building;

[0142] The design information includes: the number of target buildings, the floor height of the target buildings, the construction information of each floor of the target buildings, the area and thickness of the foundation of the target buildings, and the foundation settlement coefficient of the target buildings (per year);

[0143] The construction information of each floor of the (target building) includes: the number of load-bearing columns, main beams and secondary beams on each floor, the length and cross-sectional area of the load-bearing columns, the length and cross-sectional area of the main beams, the length and cross-sectional area of the secondary beams, the number of pre-set roughcast houses on each floor and the area of the pre-set roughcast houses;

[0144] It should be noted that the "target building" in the present invention means: residential building or office building; users or relevant technical personnel can provide the design information of different buildings according to actual needs to improve the popularity of the present invention for different buildings.

[0145] It should be noted that the "target building" in the present invention means the building for which building construction analysis is carried out by using the present invention (a building construction analysis and control method and system based on big data analysis technology); the "target area" means the municipal area corresponding to the "target building".

[0146] Step S2: Obtain the population change in the target area (in the past three years), determine the additional construction quantity of the target building; calculate the expected load of the target building according to the design information;

[0147] According to the expected load, conduct a first mathematical modeling on the target building, calculate the most ideal load-bearing, ideal load-bearing, non-ideal load-bearing and poor load-bearing of each floor of the target building, and judge whether the load-bearing of each target floor is reasonable. If it is reasonable, no treatment is required. If it is unreasonable, extract the load-bearing floors to be reinforced.

[0148] According to the expected load, conduct a second mathematical modeling on the target building, analyze the influence of the floor height (of the target building) on the load-bearing of the target building, and judge whether the floor design (of the target building) is reasonable. If it is reasonable, no treatment is required. If it is unreasonable, extract the floors to be adjusted.

[0149] The specific steps of Step S2 are as follows:

[0150] Step S21: Obtain the number of people in the target area in the past three years, denoted as pn （1） 、pn （2） and pn （3） ;

[0151] 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） represents the number of people in the target area in the third year;

[0152] The change rate of the number of people in the target area from the third year to the second year is denoted as b （3-2） = (pn （2） - pn （3） ) / pn （3） ;

[0153] The change rate of the number of people from the second year to the first year is denoted as b （2-1） = (pn （1） - pn （2） ) / pn （2） ;

[0154] Step S22: Construct a state transition matrix based on b （3-2） and b （2-1） , and iterate using the NumPy library function to obtain matrix B （1） ; Define the (2×1) reception matrix {1, 0}, denoted as matrix B （2） ; Calculate B （1） multiplied by B （2） to obtain matrix B （3） , calculate the average value of all parameters in matrix B （3） as the change rate of the number of people in the target area (this year), denoted as bp;

[0155] Obtain the current number of people in the target area, denoted as pp; Calculate the expected number of people who want to buy a house in the target area (this year), denoted as qp, and the calculation formula for qp is: qp = [(1 + bp) × pn （1） - pp;

[0156] Step S23: Denote the number of target buildings as bn, and the floor height of the target building as bl;

[0157] Denote the preset number of roughcast houses corresponding to the 1st, 2nd, up to the bl-th floor of the target building as f （1） , f （2） ~ f （bl） ; Calculate the sum of f （1） ~ f （bl） , denoted as af;

[0158] Judge whether [(qp / 2) / (bn × bl × af)] ≤ 1 holds;

[0159] If it holds, it means the number of target buildings is sufficient;

[0160] If it does not hold, it means the number of target buildings is small and additional target buildings need to be constructed; Denote the additional number of target buildings to be constructed as gb; The calculation formula for gb is:

[0161] ; Among them, gb is rounded up;

[0162] Step S24: Denote the foundation area of the target building as Ds and the foundation thickness as Dh; Denote the foundation settlement coefficient of the target building (per year) as bd;

[0163] Obtain the bearing coefficient of the target building's foundation, denoted as Dc; Calculate the expected load of the target building, denoted as Qtt; The calculation formula for Qtt is: Qtt = bd × (Ds × Dh × Dc);

[0164] Step S25: Please refer to Figure 3 and Figure 4 , Take 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, count the number of longitudinal load-bearing columns of the target building, denoted as ld, and count the number of transverse load-bearing columns of the target building, denoted as hd;

[0165] Denote the length of the load-bearing column as Zh and the cross-sectional area of the load-bearing column as Zs; Obtain the compressive coefficient of the load-bearing column, denoted as Zc;

[0166] Calculate the maximum load-bearing capacity of a single load-bearing column, denoted as Qz; The calculation formula for Qz is: Qz = Zc × (Zh × Zs);

[0167] Distribute the expected load evenly among the floors of the target building and analyze whether the structural design of the target building is reasonable;

[0168] Step S251: Distribute the expected load evenly to each floor of the target building to obtain the average floor load, denoted as Qbl; The calculation formula for Qbl is: Qbl = Qtt / bl; Analyze whether the load-bearing column design of each floor of the target building is reasonable;

[0169] Step S2511: Obtain the number of preset roughcast houses on the bl-th floor of the target building, denoted as f （bl） ; Analyze the load-bearing capacity of the bl-th floor of the target building (i.e., the top floor (excluding the rooftop) of the target building);

[0170] Distribute the average floor load to the entire bl-th floor (of the target building) and calculate the ideal load-bearing capacity of each load-bearing column on the bl-th floor, denoted as Lg （1） ; Lg （1） The calculation formula is:

[0171] Lg （1） = Qbl / (ld × hd);

[0172] Step S2512: Obtain the distance between two adjacent transverse load-bearing columns, denoted as Dx, and obtain the distance between two adjacent longitudinal load-bearing columns, denoted as Ly;

[0173] Assume that the area of each preset roughcast house on the bl-th floor (of the target building) is equal, and calculate the ideal load-bearing capacity of each load-bearing column on the bl-th floor, denoted as Lg （2） ;

[0174] Step S25121: Distribute the average floor load to all the preset roughcast rooms on the bl-th floor of the (target building), and the ideal load for each preset roughcast room is Qf; the calculation formula for Qf is: Qf = Qbl / f （bl） ;

[0175] Define the load-bearing calculation formula for each load-bearing column according to the connection between the secondary beams and the main beams on the bl-th floor of the (target building);

[0176] Step S25122: Assume that the secondary beams on the bl-th floor of the (target building) are horizontally connected;

[0177] Record the area of the preset roughcast room as: [((α （1） +β （1） )×Ly]×Dx; where, α （1） is a non-zero rational number, and β （1） is a rational number within the interval (0, 1);

[0178] Take the corresponding area of the preset roughcast room [((β （1） ×Ly)×Dx] as area A （1） , and take the corresponding area of [((α （1） ×Ly)×Dx] as area B （1） ;

[0179] Step S251221: Take the (α （1） +1)-th pair of load-bearing columns (from south to north) of the preset roughcast room as the first-level force-dividing columns, and calculate the load on the first-level force-dividing columns by area A （1） . Denote the load on the first-level force-dividing columns as Zff, and the calculation formula for Zff is: (Under the premise that the secondary beams are horizontally connected, each pair of first-level force-dividing columns has two load-bearing columns, and the load corresponding to each first-level force-dividing column is Zff)

[0180] ;

[0181] Step S251222: Take the 1st to (α （1） +1)-th pairs of load-bearing columns (from south to north) of the preset roughcast room as the second-level force-dividing columns; Denote the load on the i-th pair of second-level force-dividing columns by area B （1） as: Zft （i） ; The value range of i is: 1~(α （1） +1); (Each pair of second-level force-dividing columns has two load-bearing columns, and the load corresponding to each second-level force-dividing column is Zft （i） )

[0182] Judge the parity of (α （1） +1) to determine the calculation formula for Zft （i） ;

[0183] If (α （1）If (α （i） + 1) is odd, the calculation formula for Zft

[0184] is calculation formula 2-1 and calculation formula 2-2;

[0185] ; when i is ;

[0186] Calculation formula 2-2 is:

[0187] ; when i is not ;

[0188] If (α （1） + 1) is even, the calculation formula for Zft （i） is:

[0189] ;

[0190] It should be noted that the "(α （1） + 1)th load-bearing column" in "step S25122" serves as both a primary force-dividing column and a secondary force-dividing column;

[0191] Step S25123: Assume that the secondary beam on the blth floor of the (target building) is longitudinally connected;

[0192] Record the area of the preset roughcast house as: [(α （2） × Ly) × (β （2） × Dx)]; where α （2） is a non-zero rational number, and β （2） is a rational number within the interval (0, 1);

[0193] Record the load of the preset roughcast house on the jth load-bearing column (from south to north) as: Ztt （i） ; the value range of j is: 1 to α （2） ; judge the parity of α （2） to determine the calculation formula of Ztt （i） ;

[0194] Step S251231: If α （2） is odd, the calculation formula for Ztt （i） is calculation formula 2-3 and calculation formula 2-4;

[0195] Calculation formula 2-3 is:

[0196] ; when j is ;

[0197] Calculation formula 2-4 is:

[0198] ; when j is not ;

[0199] Step S251232: If α （2r） is an even number, then the calculation formula for Ztt （i） is:

[0200] ;

[0201] Step S25124: Assume that the secondary beam on the bl-th floor of the (target building) is a mixed connection;

[0202] Record the area of the preset roughcast house as: [ (α （3） ×Ly) × Dx + (λ （3） ×Ly×β （3） ×Dx) ]; where α （3） is a non-zero rational number, β （3） and λ （3） are rational numbers within the interval (0, 1);

[0203] Take the corresponding area of the preset roughcast house [ (α （3） ×Ly) × Dx ] as area A （2） , and take the corresponding area of [ (λ （3） ×Ly) × (β （3） ×Dx) ] as area B （2） ;

[0204] Step S251241: Take the (α （3） +1)-th pair of load-bearing columns of the preset roughcast house (from south to north) as the first-level force columns, and calculate the load of area A （2） on the first-level force columns. The calculation formula for Zsf is: (under the premise that the secondary beam is a mixed connection, each pair of first-level force columns has two load-bearing columns, and the load corresponding to each first-level force column is Zsf)

[0205] ;

[0206] Step S251242: Take the 1st to the (α （3） +1)-th pair of load-bearing columns of the preset roughcast house (from south to north) as the second-level force columns; Record the load of area B （2） on the p-th pair of second-level force columns as: Zst （i） ; The value range of p is: 1 to (α （3） +1); (each pair of second-level force columns has two load-bearing columns, and the load corresponding to each second-level force column is Zst （p） )

[0207] Judge the parity of (α （3） +1) to determine Zst （p）Calculation formula;

[0208] If (α （3） + 1) is odd, then the calculation formula of Zst （p） is the calculation formula 2-5 and the calculation formula 2-6;

[0209] The calculation formula 2-5 is:

[0210] ; when p is ;

[0211] The calculation formula 2-6 is:

[0212] ; when p is not ;

[0213] If (α （3） + 1) is even, then the calculation formula of Zft （p） is:

[0214] ;

[0215] It should be noted that the "(α （3） + 1)th load-bearing column" in "step S25124" serves as both the primary force-dividing column and the secondary force-dividing column;

[0216] Step S25125: According to the load-bearing calculation formulas of each load-bearing column defined in steps S25122 to S25124 and the connection between the secondary beams and the main beams in the bl-th floor, calculate the loads of the 1st, 2nd, up to the (ld×hd)th load-bearing column in the bl-th floor, denoted as Zll(1), Zll(2) ~ Zll(ld×hd);

[0217] Extract the maximum value from Zll(1) to Zll(ld×hd) as the ideal load Lg （2） ;

[0218] Step S2513: Assume that in the bl-th floor of the (target building), the areas of each preset roughcast room are not equal (or not completely equal), and calculate the non-ideal load of each load-bearing column in the bl-th floor, denoted as Lg （3） ;

[0219] Step S25131: Denote the areas of the 1st to the f （bl） th preset roughcast rooms in the bl-th floor as: fs(1) ~ fs(f （bl） );

[0220] Calculate the sum of fs(1) to fs(f （bl） ), denoted as afs;

[0221] Denote the area of the k-th preset roughcast room on the bl-th floor as fs(k), where the value range of k is: 1 to f （bl） ;

[0222] Define the calculation formula for the partial load of the k-th preset roughcast room on the bl-th floor as Formula 2-7, and the mathematical expression of Formula 2-7 is:

[0223] Qfc(k) = (fs(k) / afs) × Qbl;

[0224] Among them, Qfc(k) represents the partial load of the k-th preset roughcast room on the bl-th floor;

[0225] Step S25132: Substitute fs(1) to fs(f （bl） ) into Formula 2-7 to calculate the partial loads of the 1st to the f （bl） th preset roughcast rooms: Qfc(1) to Qfc(f （bl） );

[0226] Replace the ideal loads Qf of the 1st to the f （bl） th preset roughcast rooms with Qfc(1) to Qfc(f （bl） ) in sequence, and repeat the same steps for calculating the ideal load-bearing Lg （2） (i.e., Step S2512) to calculate the non-ideal load-bearing of the bl-th floor and obtain Lg （3） ;

[0227] Step S2514: Denote the poor load-bearing of a certain load-bearing column on the bl-th floor (i.e., the weight of the bl-th floor is only borne by 1 load-bearing column) as Lg （4） ; Lg （4） has a value of: Qbl;

[0228] Calculate the average value of Lg （1） , Lg （2） , Lg （3） , Lg （4） as the combined load-bearing of each load-bearing column on the bl-th floor, denoted as ZQ （bl） ;

[0229] Step S2515: Obtain the density of the load-bearing column, denoted as Zρ; calculate the self-weight of the load-bearing columns on each floor of the (target building), denoted as ZQT; the calculation formula of ZQT is: ZQT = Zρ × (Zh × Zs) × (ld × hd);

[0230] Assume that the number of preset roughcast rooms on the q-th floor of the (target building) is f （q） ; the value range of q is: 1 to (bl - 1);

[0231] Denote the combined load-bearing on the q-th floor of the (target building) as ZQ （q） ; ZQ（q） The calculation formula is:

[0232] ;

[0233] Take ZQ （q） 's calculation formula as calculation formula 2 - 8; take the number of preset roughcast houses f （1） ~f （bl-1） from the 1st to the (bl - 1)th floor of the (target building) and substitute them into calculation formula 2 - 8 to calculate the combined load-bearing of the 1st to the (bl - 1)th floor, and obtain ZQ （1） ~ZQ （bl-1） ;

[0234] Step S2516: Define relation 3:

[0235] ; where, ZQ （bl-i） represents the combined load-bearing of the (bl - i)th floor of the (target building), and the value range of i is: 0 ~ (bl - 1);

[0236] Take ZQ （1） ~ZQ （bl） and substitute them into relation 3 to determine whether relation 3 holds;

[0237] If it does not hold, it means that the load-bearing of each floor of the target building is reasonable, that is, the design of the load-bearing columns is reasonable;

[0238] If it holds, it means that the design of the load-bearing columns of the target building is unreasonable; extract the first combined load-bearing that makes relation 3 hold as the reinforcement combined load-bearing, and record the floor corresponding to the reinforcement combined load-bearing as gt; take the 1st to the gtth floor as the floors to be reinforced for load-bearing; (1 < gt < bl)

[0239] Step S252: Concentrate the expected load on the roof of the target building and determine whether the floor design of the target building is reasonable;

[0240] Step S2521: Obtain the length of the target building and record it as Jl, the width as Jh, and define relation 4:

[0241] ;

[0242] where, θ （1-bl） represents the angle between the diagonal from the bottom of the 1st floor to the blth floor, and the calculation formula of θ （1-bl） is:

[0243] ;

[0244] Step S2522: Determine whether relation 4 holds;

[0245] If it does not hold, it means that the floor height design of the target building is reasonable;

[0246] If it holds, it indicates that the preset floor of the target building is relatively high. Analyze the reasonable floor height of the target building and proceed to step S2523;

[0247] Step S2523: Define relation 5:

[0248] ;

[0249] where θ （1-g） represents the included angle of the diagonal from the 1st floor (the bottom of the building) to the gth floor, and the calculation formula of θ （1-g） is:

[0250] ; the value range of g is: 1 to bl;

[0251] Substitute 1 to bl into g in relation 5 in sequence, and extract the floor height that first satisfies relation 5, denoted as gh;

[0252] Regard the floors from the ghth floor to the blth floor as the floors to be adjusted (1 < gh ≤ bl).

[0253] Step S3: According to the load-bearing floors to be strengthened and the floors to be adjusted, calculate the reinforcement thickness of the load-bearing columns on each floor of the target building and the adjusted floor height of each floor to obtain new construction information;

[0254] 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 positions in the target building that do not conform to the new construction information, and give an alarm;

[0255] The construction data includes: the actual thickness of the load-bearing walls, the actual floor height, and the compressive coefficient of the actual load-bearing structure of the target building during the actual construction process;

[0256] The specific steps of step S3 are as follows:

[0257] Step S31: Obtain the number of floors gt of the load-bearing floors to be strengthened in the target building, and calculate the reinforcement thickness of the load-bearing columns on each load-bearing floor to be strengthened in the target building;

[0258] Step S311: Obtain the combined load of the (gt + 1)th floor to the blth floor of the target building to get ZQ （gt+1） ~ZQ （bl） ;

[0259] Calculate the sum of ZQ （gt+1） ~ZQ （bl） , denoted as aZQ;

[0260] Step S312: Obtain the number of longitudinal load-bearing columns ld and the number of transverse load-bearing columns hd on each floor of the target building;

[0261] Obtain the maximum load-bearing capacity Qz of the load-bearing column (before adjustment) and the self-weight ZQT of the load-bearing column on each floor.

[0262] 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.

[0263] Step S313: Calculate the thickening amount of the load-bearing column on the gt-th floor, denoted as Δad （gt） ;

[0264] ;

[0265] Calculate the thickening amount of the load-bearing column on the (gt - 1)-th floor, denoted as Δad （gt-1） ;

[0266] ;

[0267] Repeat the same process of calculating Δad （gt-1） to calculate the thickening amounts of the load-bearing columns on the (gt - 2)-th to 1st floors.

[0268] Step S32: Obtain the number of floors gh of the floors to be adjusted in the target building, and calculate the adjusted floor height of each floor to be adjusted in the target building.

[0269] Step S321: Obtain the combined load-bearing of the (gh + 1)-th to bl-th floors of the target building to get ZQ （gh+1） ~ZQ （bl） ; Calculate the sum of ZQ （gh+1） ~ZQ （bl） , denoted as bZQ;

[0270] Calculate the additional load-bearing of the (gh + 1)-th to bl-th floors relative to the maximum load-bearing of a single-layer load-bearing column, denoted as ΔQQ; The calculation formula for ΔQQ is: ΔQQ = bZQ - Qz × (lh × ld);

[0271] Step S322: Denote the adjusted floor height as TTh;

[0272] If only the floor heights of the (gh + 1)-th to bl-th floors are adjusted, the calculation formula for TTh is:

[0273] ;

[0274] If the floor heights of all floors from the 1st to the bl-th floors are adjusted, the calculation formula for TTh is:

[0275] ; Among them, ZZQ represents the sum of the combined load-bearings ZQ （1） ~ZQ （bl） from the 1st to the bl-th floors;

[0276] Step S33: Summarize the data in Steps S31 to S32 to obtain new construction information;

[0277] 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 positions in the target building that do not conform to the new construction information, and give an alarm.

[0278] Embodiment 2

[0279] Please refer to 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;

[0280] Data acquisition module: used to acquire the design information of the target building;

[0281] The analysis and optimization module includes: a data analysis sub-module and a design optimization sub-module;

[0282] Data analysis sub-module: used to obtain the population change in the target area (in the past three years), determine the additional construction quantity of the target building; calculate the expected load of the target building according to the design information;

[0283] According to the expected load, conduct a primary mathematical modeling of the target building, calculate the most ideal load-bearing, ideal load-bearing, non-ideal load-bearing, and poor load-bearing of each floor of the target building, and judge whether the load-bearing of each target floor is reasonable. If it is reasonable, do not process it. If it is not reasonable, extract the floors to be reinforced for load-bearing;

[0284] Design optimization sub-module: used to conduct a secondary mathematical modeling of the target building according to the expected load, analyze the influence of the floor height (of the target building) on the load-bearing of the target building, and judge whether the floor design (of the target building) is reasonable. If it is reasonable, do not process it. If it is not reasonable, extract the floors to be adjusted;

[0285] According to the floors to be reinforced for load-bearing and the floors to be adjusted, calculate the reinforcement thickness of the load-bearing columns of each floor of the target building and the adjusted floor height of each floor respectively, to obtain new construction information;

[0286] 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 positions in the target building that do not conform to the new construction information, and give an alarm.

[0287] The above formulas are all dimensionless and only take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. For example, there are weight coefficients and proportionality coefficients, and the values set for them are specific numerical values obtained by quantifying each parameter for subsequent comparison. Regarding the magnitudes of the weight coefficients and proportionality coefficients, as long as they do not affect the proportional relationship between the parameters and the quantified values, it is acceptable.

[0288] Finally, it should be noted that the above-described embodiments are only specific implementation manners of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that any person skilled in the art within the technical scope disclosed by the present invention can still modify the technical solutions recorded in the foregoing embodiments or can easily think of changes, or perform equivalent replacements for some of the technical features; and these modifications, changes or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to 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 floor height of each floor to obtain new construction information; Obtain the construction data of the target building in real time during the construction process, 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; 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 D （1） ; Let (2×1) matrix D be （2） , calculate D （1） Multiply by D （2） , we get the matrix D （3） ; Calculate the matrix D （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 buildings gb to be built 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 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.

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 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.

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 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） ) is 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-bearing Lg （3） .

4. A construction analysis and control method based on big data analysis technology according to claim 3, 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.

5. The construction analysis and control method based on big data analysis technology according to claim 3 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 （2） is an even number, then Ztt （i） The calculation formula is: 。 6. A construction analysis and control method based on big data analysis technology according to claim 5, 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） .

7. The construction analysis and control method based on big data analysis technology according to claim 5 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: .

8. The construction analysis and control method based on big data analysis technology according to claim 1 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 × (hd × 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.

9. 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 8, 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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