阅读说明：本技术 一种建筑室内实测实量数据采集和分析系统 (building indoor actual measurement data acquisition and analysis system ) 是由 陈俊杰 于 2019-09-03 设计创作，主要内容包括：本发明涉及本发明公开了一种实测实量系统,此系统包括数据采集子系统,通过控制器控制全站仪,按所述数据采集子系统的预设程序进行测量,导出原始数据；分析子系统：当原始数据被导入分析子系统之后,按照“通讯协议”进行解释、并进一步按照分析子系统的预设程序进行计算,最终计算出一系列表征房屋的验收质量的相关数据；“通讯协议”：为以上两子系统之间的连接协议,本系统对建筑室内进行扫描、并通过分析子系统对数据进行分析,自动得出实测实量质量数据,实现了实测实量作业的自动采集、自动分析。(the invention relates to a real measurement system, which comprises a data acquisition subsystem, a data acquisition subsystem and a data processing subsystem, wherein the total station is controlled by a controller, and measurement is carried out according to a preset program of the data acquisition subsystem to derive original data; an analysis subsystem: after the original data are imported into the analysis subsystem, the original data are interpreted according to a communication protocol and further calculated according to a preset program of the analysis subsystem, and finally a series of related data representing the acceptance quality of the house are calculated; "communication protocol": for the connection protocol between the two subsystems, the system scans the indoor space of the building and analyzes the data through the analysis subsystem to automatically obtain the actual measurement quality data, thereby realizing the automatic acquisition and automatic analysis of the actual measurement operation.)

1. an actual measurement system in a building room is characterized by comprising the following subsystems:

The data acquisition subsystem is used for controlling the total station through the controller, measuring according to a preset program of the data acquisition subsystem and deriving original data;

an analysis subsystem, wherein after the original data are imported into the analysis subsystem, the original data are interpreted according to a communication protocol and further calculated according to a preset program of the analysis subsystem, and finally a series of related data representing the acceptance quality of the house are calculated;

The communication protocol is a connection protocol between the two subsystems and is particularly responsible for explaining the type of data collected during measurement, different types of quality detection have different data distribution forms and calculation methods, the specific distribution and calculation methods are determined by the analysis subsystem, and the communication protocol is open content; according to the use requirements of users, the users can independently select and use different data acquisition subsystems and different data analysis subsystems in a combined manner;

The calculation of the analysis subsystem comprises the calculation of ground elevation limit difference DX, ground DJ, the calculation of ceiling TJ elevation extreme difference, the calculation of flatness of ground DP and wall QP, the calculation of wall verticality QC, the calculation of negative and positive angle squareness QF, the calculation of negative and positive angle straightness QZ, the calculation of room squareness QS and the calculation of door opening width MG and height MK;

The calculation method for calculating the ground elevation difference limit DX comprises the following steps:

reading any point of the measured room floor, defining the elevation of a Gound point of the total height in a scanning space range, taking the elevation as a middle value, forming an effective range 1 in the upper V1 range and the lower V1 range, taking the V1 as a program adjusting value, uniformly calculating as an invalid measuring point if the point leaves the effective range 1, taking an average value L1 for the point elevation in the effective range 1, taking L1 as a middle value, and forming an effective range 2 in the upper V2 range and the lower V2 range; scanning points, and if the scanning points leave the effective range 2, uniformly counting as invalid measuring points; all points in the effective range 2 are effective measuring points, the elevation values of the points are compared with L1, the points which exceed the calculation parameters up or down are not in time with the grid points, and otherwise, the points pass the grid points; the algorithm is similar to the principle of quadratic fitting and is used for removing gross errors caused by sweeping the ground scanning points to the slight depression;

the method for calculating the elevation range difference of the ground DJ and the ceiling TJ comprises the following steps:

In all scanning points, the height difference between the highest point and the lowest point is called the range, if the range exceeds AxV1(A is a calculation parameter, V1 is a program adjustment value, the point with the highest value and the point with the lowest value of the elevation at the moment are removed, the steps are repeated until the range does not exceed AxV1, if the number of the points is less than 4, the ground or the ceiling is the invalid ground or the ceiling, the invalid ground or the ceiling does not participate in statistics, and the passing judgment value does not exist, if the number of the points is more than 4, the ground or the ceiling is the valid ground or the ceiling, the range is considered at the moment, the range is more than A, the ground or the ceiling is the failing grid, the DJ1 or TJ1 value is 0, otherwise, the passing grid is obtained, and the corresponding value.

The method for calculating the flatness of the ground DP and the wall QP comprises the following steps:

the number of the scanning points exceeds 4, and the scanning points are counted as an effective wall, or else, the scanning points are counted as an ineffective wall and have no flatness judgment value; solving a plane by adopting a mean square error minimization algorithm, testing the shortest distance between each scanning point and a fitting plane, if the shortest distance is greater than a program regulating value V1, the point is an invalid point, and the following quadratic fitting process does not participate in calculation; after the invalid points are removed, performing secondary fitting to obtain a fitting plane; setting a three-dimensional guiding rule area; the 'running rules' with different direction angles move in a plane in sequence, and when the number of measuring points in the area is not less than 4, the combination of the 'flatness measuring points' is registered, and the combination can not be repeated; points in the combination and the fitting plane make a plane projection graph to the corresponding side surface of the guiding ruler; the wall surface fitting line is used as the horizontal direction in the plane graph, and the instrument direction is upward; connecting the projection points of each measuring point pairwise according to a single-cycle rule, and respectively making a vector from the points to the 'connecting lines' from the non-participating connecting lines; only the up-down direction component vectors of these vectors are considered; v with a negative component vector does not participate in the following judgment, and only V with a positive value is considered; if the connection line exists in the flatness measuring point combination, all positive V are not larger than the calculation parameter, and the flatness measuring point combination is judged to pass; otherwise, the group of flatness measuring point combinations is regarded as a failing combination, the position is expressed in the subsequent graph output result, and the minimum deviation figure of the guiding rule is added to the middle section of each failing rule along the direction of the guiding rule; if there is a "bad flatness measurement point combination", then the wall is counted as a bad in the statistics of the number QP of the wall surfaces that have passed.

the calculation method of the wall verticality QC comprises the following steps:

The number of the scanning points exceeds 4, and the scanning points are counted as an effective wall, or else, the scanning points are counted as an ineffective wall and have no verticality judgment value; taking the position of a secondary fitting surface of a QP calculation result; the included angle between the normal line of the fitting surface and the horizontal plane is converted into the number of mm inclined every 2 m; if the converted value is larger than the calculation parameter, the wall surface fails, otherwise, the wall surface passes.

The calculation method of the squareness QF of the internal and external corners comprises the following steps:

the number of scanning points of the left wall and the right wall of the corner exceeds 4, and the wall is counted as an effective internal and external corner, otherwise, the wall is an ineffective internal and external corner and has no squareness judgment value; taking the positions of the secondary fitting surfaces of two adjacent walls of the QP calculation result; if the included angle of the two fitting surfaces is close to 90 degrees or 270 degrees, namely the included angle is different from one of 90 degrees or 270 degrees by no more than V2 in absolute value, the included angle is converted into a value which is close to 0 degree, the positive and negative directions are not divided, and the small angle is converted into the deviation of 140mm by a plurality of mm; if the converted value is larger than the calculation parameter, the squareness passes, and otherwise, the squareness passes.

The calculation of the internal and external angle straightness QZ is as follows:

The number of scanning points of the left wall and the right wall of the corner exceeds 4, and the wall is counted as an effective internal and external corner, otherwise, the wall is an ineffective internal and external corner and has no straightness judgment value; and taking the position of a secondary fitting surface of two adjacent walls of the QP calculation result, converting an included angle between an edge vector of the two fitting surfaces and a plumb vector into a positive value close to 0 degree, and converting the small angle into a converted value of a plurality of mm per 2m, wherein if the converted value is greater than a calculation parameter, the straightness passes, and otherwise, the straightness passes.

The method for calculating the room squareness QS comprises the following steps:

reading all corner frame points, and if the distance between the frame points exceeds V1 and the number of the wall surface scanning points exceeds 4, determining the wall surface as an effective wall surface; taking secondary fitting surfaces of all effective wall surfaces in a room; comparing every two normal vectors of the fitting surfaces, and if the absolute value of the difference between the included angle and 0 or 180 is not more than V2 (not dividing positive and negative), then the fitting surfaces are counted as effective wall pairs; converting the normal vector included angle of the effective wall pair into a positive value close to 0 degree, and converting the small angle into mm of every 2 m; if the converted value is larger than the calculation parameter, the wall pair passes, and otherwise, the wall pair passes.

The calculation of the door opening width MG and the height MK is as follows:

6 points around a door opening are sequentially and clockwise measured by the field as shown in figure 2, before the field starts, the instrument is supposed to correct the true height by measuring an L point on a '1 meter line', the L point is taken as a Z (0) point of a coordinate system, a 'lateral drift constant' K corresponding to a prism used for the measurement is input into the field, the field is clamped into an A1 character string during the field, the coding mode similar to the construction stage is similar, the unified 'preset' Wa and Ha of a standard building is input into the field, the field is clamped into an A1 character string during the field, the coding mode similar to the construction stage and the preset standard value are determined by a project department after a template is checked and accepted, and are manually recorded and counted into the field input; DW 1-the sum of the 2K and the flat pitch of DW6 is defined as W1, DW 2-the sum of the 2K and the flat pitch of DW5 is defined as W2; the elevation of DW3, DW4 plus K is defined as H1, H2; reading 'preset value control standard values' Wa and Ha before the start of the interior;

calculation of MK: the method comprises the following steps that W1 and W2 of each door are used as a group, if one of W1-Wa and W2-Wa is larger than AxV1, A is a calculation parameter, V1 is a program adjustment value, the condition is read out from a calculation parameter table and a program adjustment value table of an analysis subsystem respectively, the door opening does not participate in calculation, the door is not calculated in the effective door opening number MK2, and W1-Wa and W2-Wa in the rest door openings are larger than A and smaller than or equal to AxV1, the door opening is calculated as a failing door opening, and if two door openings are not larger than A, the door opening is calculated as a passing door opening;

calculation of MG: h1 and H2 of each door are used as a group, if one of H1-Ha and H2-Ha is greater than AxV1, the door opening does not participate in calculation, the door is not calculated in the effective door opening number MG2, one of H1-Ha and H2-Ha in the rest door openings is greater than A and less than or equal to AxV1, the door opening is calculated as a failed door opening, and if the two door openings are not greater than A, the door opening is calculated as a passed door opening.

2. The actual measurement system in the building room according to claim 1, wherein: the data acquisition subsystem acquires the house data and comprises 3 parts:

Measuring room corner points-the program of the data acquisition subsystem measures 4 corner points and 1 ground point of a ceiling of a room by adopting a laser direct measurement mode,

measuring "false north" points-measuring the false north direction by directly measuring any point in the "false north" meridian direction, which is used in the data analysis subsystem to determine the orientation of the generated analysis chart, the false north direction corresponding to the direction directly above the analysis chart, thereby facilitating reading,

measuring the positions of the doors and windows, namely tracking the motion track of the prism by directly contacting the prism frame with the door opening and using a prism tracking mode, measuring 6 points of each door and window in the tracking process as the representation of the track, and 3.4 fully-automatically scanning, wherein the instrument automatically and sequentially executes all scanning tasks in a scanning mode of firstly transversely moving and then vertically arranging.

3. the actual measurement system in the building room according to claim 1 or 2, wherein: when data is exported, a program exports two files, namely a point cloud head file and a point cloud file, according to a communication protocol, wherein the point cloud head file information comprises: the system comprises a frame point number, coordinates, four-digit English letter item names, item option numbers, building numbers, floor numbers, house numbers, room numbers and frame point attributes; the point cloud information includes: the method comprises the steps of frame point number, coordinates, four-digit English letter item names, item option numbers, building numbers, floor numbers, house numbers, room numbers, scanning point wall attribution, scanning point attributes 1 and 2.

4. the building indoor measurement system according to claim 3, wherein: after the original data enters the data analysis subsystem, the data analysis subsystem firstly reads the attribute1, and determines the index analysis of which items need to be done in each room through the data shunt table of the analysis subsystem, which algorithms are adopted in the analysis process, which calculation parameters are adopted to judge whether the room is qualified or not, which format results are output, and how all-house data are combined into a quality evaluation table. And after the data flow direction is determined, respectively calculating each quality index of the room by adopting a core algorithm of the analysis subsystem.

Technical Field

the invention relates to the technical field of building measurement, in particular to an automatic system for actually measuring actual indoor building quantity in a building engineering construction process.

Background

in the existing house construction engineering house inspection work, the precision measurement of house construction size is carried out by a developer committee supervision unit, and the process is called actual measurement actual quantity and is used as the basis of quality inspection and acceptance. At present, actual measurement is carried out manually, and measurement, input and conversion are carried out, so that a mass fraction value is obtained. The process has low efficiency, easy error and strong subjectivity.

Under the current technical conditions, a complete and strict automatic measurement scheme does not exist, the closest technology is a come card 'Disto 3D' measurement application scheme, but the scheme has single function, does not meet the definition of building acceptance specifications on actual measurement and cannot meet the use requirements.

disclosure of Invention

aiming at the defects of the prior art, the invention provides an automatic method and system for building indoor actual measurement, which can realize high-efficiency acquisition of engineering quality data and automatic analysis of engineering quality parameters.

in the concept of the application scheme of the present invention, laika 'Disto 3D' measurement, a measuring robot total station is used as a measuring platform, field data acquisition and field data analysis subsystems are separated, and a communication protocol is used for connection, so that a cross-brand and cross-platform technical system is established.

the technical system adopts an open technical standard, and all data acquisition processes meeting technical conditions can be used as data sources for field collection.

The data obtained by field is endowed with formats and classifications through a communication protocol, the universality of the data is realized, the data can be used for a series of analysis software which is compatible with the technology and is customized and developed for the purpose, in the software, partial products can better meet the requirements of building acceptance criteria and enterprise management compared with the original analysis subsystem of 'Disto 3D' self-contained, and the operation does not need manual operation, so that the automatic analysis is realized.

The invention has the advantages of realizing high-efficiency acquisition of the data of the engineering quality, realizing automatic analysis of the engineering quality parameters, reducing the cost, being simple to operate and being mastered by common workers through simple training.

The invention provides a system for actually measuring actual measurement in a building room, which comprises the following subsystems:

the data acquisition subsystem is used for controlling the total station through the controller, measuring according to a preset program of the data acquisition subsystem and deriving original data;

An analysis subsystem, wherein after the original data are imported into the analysis subsystem, the original data are interpreted according to a communication protocol and further calculated according to a preset program of the analysis subsystem, and finally a series of related data representing the acceptance quality of the house are calculated;

The communication protocol is a connection protocol between the two subsystems and is particularly responsible for explaining the types of the data acquired during measurement, such as different construction stage types, different surface material types and the like, different types of quality detection have different data distribution forms and calculation methods, the specific distribution and calculation methods are determined by the analysis subsystem, and the communication protocol is open content; according to the use requirements of users, the users can independently select and use different data acquisition subsystems and different data analysis subsystems in a combined manner;

The calculation of the analysis subsystem comprises the calculation of ground elevation limit difference DX and ground DJ, the calculation of ceiling TJ elevation extreme difference, the calculation of flatness of ground DP and wall QP, the calculation of wall verticality QC, the calculation of negative and positive angle squareness QF, the calculation of negative and positive angle straightness QZ, the calculation of room squareness QS and the calculation of door opening width MG and height MK.

The method comprises the following specific steps:

Step (1): and establishing a task, namely establishing the measurement task, namely establishing a task file according to a menu designed by the system.

step (2): information input is divided into two steps:

2.1. basic item attributes such as items, building numbers, floor numbers, room numbers and the like are input and used for data storage index reference in the data analysis subsystem.

2.2. The method comprises the steps of inputting attribute items, and manually inputting two attributes in a menu provided by a program for subsequent calculation.

Step (3), room measurement work, which is divided into 3 steps:

3.1. Measuring room corner points-the program of the data acquisition subsystem measures 4 corner points and 1 ground point of a ceiling of a room by adopting a laser direct measurement mode,

3.2 measuring the "false north" point-the false north direction is measured by directly measuring any point in the "false north" meridian direction, which is used in the data analysis subsystem to determine the orientation of the generated analysis chart (the false north direction corresponds to the direction directly above the analysis chart), thereby facilitating reading,

3.3 measuring the position of the door and window, tracking the motion track of the prism by using the prism frame to directly contact the door opening and using the mode of tracking the prism, measuring 6 points of each door and window in the tracking process as the representation of the track, 3.4 fully automatically scanning, automatically and sequentially executing all scanning tasks by an instrument, wherein the scanning mode is firstly horizontal and then vertical,

And (4) data export, wherein after the steps are completed, the program exports two files, namely a point cloud head file and a point cloud file, according to a communication protocol.

The point cloud head file information comprises:

Frame point number, coordinate, four-digit English letter item name, item option number, building number, floor number, house number, room number, and frame point attribute

the point cloud information includes:

Frame point number, coordinate, four-digit English letter item name, item option number, building number, floor number, house number, room number, scanning point wall attribution, scanning point attribute1 and attribute2,

and (5) after the original data enter the data analysis subsystem, the data analysis subsystem firstly reads the attribute1 data, and determines which item index analysis needs to be performed in each room through the data analysis subsystem, which algorithm is adopted in the analysis process, which calculation parameters are adopted for judging whether the room is qualified or not, which format results are output, and how all-house data are combined into a quality evaluation table.

After the data flow direction is determined, the core algorithm of the analysis subsystem is adopted to respectively calculate each quality index of the room

And (6) the data analysis subsystem reads the basic item attribute information of the item, the building number, the floor number and the room number and writes the quality data into a database position appointed by a user according to the corresponding relation, thereby realizing the automatic analysis of the engineering quality.

Drawings

FIG. 1 is a system framework diagram of the present invention

FIG. 2 is a schematic view of the field measurement of the present invention

Detailed Description

The method comprises the following specific steps:

step (1): establishing a task, namely establishing a current measurement task according to a menu designed by a system, namely establishing a folder;

Step (2): information input is divided into two steps:

2.1. basic item attributes such as items, building numbers, floor numbers, room numbers and the like are input and used for data storage index reference in the data analysis subsystem.

2.2. The method comprises the steps of inputting Attribute items, manually inputting two attributes in a menu provided by a program, namely 'Attribute 1' -Attribute 1, and adopting a group of state codes in a form specified by a 'protocol' to specify the number of rooms involved in the measurement task, the construction stage of each room and the materials of the ground, the wall and the ceiling. By reading and interpreting the set of status codes, the data analysis subsystem will determine which item index analysis needs to be done for each room, which algorithms are used in the analysis process, which calculation parameters are used for qualification judgment, which format results are output, and how the data of all the users are combined into a quality evaluation form. "Attribute 2" -Attribute 2, specifies the standard values for door and window measurements used in the data analysis subsystem to determine if the door and window manufacturing tolerances are exceeded, the offset constants of the prisms used in measuring the door and window.

Step (3), room measurement work, which is divided into 3 steps:

3.1. Measuring room corner points-a program of the data acquisition subsystem measures 4 corner points and 1 ground point of a ceiling of a room in a laser direct measurement mode, so that a rough room outline is 'imagined' in a three-dimensional space, then, full-automatic scanning work sets the positions of grid points needing to be scanned in all surfaces on the basis of the outline, and classifies the scanning points in all surface areas of the frame by taking the grid points as the frame according to the attributes of the frame points in a communication protocol.

3.2 measurement of "false North" Point-the false North orientation is measured by directly measuring any point in the "false North" meridian, which is used in the data analysis subsystem to determine the orientation of the generated analysis map (false North orientation corresponds to directly above the analysis map), thus facilitating reading

3.3 measuring the position of the door and window-utilizing the prism frame to contact the door opening directly, in Attribute2, the deviation quantity generated by the prism center point and the prism edge is input manually, eliminated through the data analysis subsystem, and the prism is tracked by matching with the Tianbao S series total station or the Tianbao SX series scanning total station, the movement track of the prism is tracked, and each door and window measures 6 points in the tracking process as the representation of the track, the size of the door and window is measured accurately, and the scanning grid points can skip the doors and windows.

3.4 full automatic scanning-the user can decide the parameters of scanning surface, scanning density, edge distance of non-scanning edge portion, etc. through menu and set up and combine scanning task, the instrument automatically and sequentially executes all scanning tasks, the scanning mode is firstly horizontal and then vertical.

And (4) data export, wherein after the steps are completed, the program exports two files, namely a point cloud head file and a point cloud file, according to a communication protocol.

the point cloud head file information comprises:

frame point number, coordinate, four-digit English letter item name, item option number, building number, floor number, house number, room number, frame point attribute,

Wherein: "Level 0" means any point on a linear position of one meter

"North" means any point in the direction corresponding to the upper side of the drawing

"Frame" refers to the corner point at the top of a room, defining the spatial extent of a scan

"Aisle" refers to a section of start and end points to be ignored, and is used for defining the range of wall surface to be ignored due to obstacles and other reasons in the scanning process

"group" is the last measured room floor at any point to define the total height in the scan volume

DWX represents angular point of door and window

the point cloud information includes:

frame point number, coordinate, four-digit English letter item name, item option number, building number, floor number, house number, room number, scanning point wall attribution, scanning point attribute1 and attribute2,

Attribute1, attribute2 content meaning:

And (5) after the original data enter the data analysis subsystem, the data analysis subsystem firstly reads the attribute1, and determines the index analysis of which items need to be carried out in each room, which algorithms are adopted in the analysis process, which calculation parameters are adopted for judging whether the room is qualified or not, which format results are output, and how the data of all the households are combined into a quality evaluation table according to the data shunt table of the analysis subsystem.

And after the data flow direction is determined, respectively calculating each quality index of the room by adopting a core algorithm of the analysis subsystem.

The calculation method for calculating the ground elevation difference limit DX comprises the following steps:

Reading any point of the measured room floor, defining the elevation of a Gound point of the total height in a scanning space range, taking the elevation as a middle value, forming an effective range 1 in the upper V1 range and the lower V1 range, taking the V1 as a program adjusting value, uniformly calculating as an invalid measuring point if the point leaves the effective range 1, taking an average value L1 for the point elevation in the effective range 1, taking L1 as a middle value, and forming an effective range 2 in the upper V2 range and the lower V2 range; scanning points, and if the scanning points leave the effective range 2, uniformly counting as invalid measuring points; all points in the effective range 2 are effective measuring points, the elevation values of the points are compared with L1, the points which exceed the calculation parameters up or down are not in time with the grid points, and otherwise, the points pass the grid points; the algorithm is similar to the principle of quadratic fitting and is used for removing gross errors caused by sweeping the ground scanning points to the slight depression;

The method for calculating the elevation range difference of the ground DJ and the ceiling TJ comprises the following steps:

in all scanning points, the height difference between the highest point and the lowest point is called the range, if the range exceeds AxV1(A is a calculation parameter, V1 is a program adjustment value, the point with the highest value and the point with the lowest value of the elevation at the moment are removed, the steps are repeated until the range does not exceed AxV1, if the number of the points at the moment is less than 4, the ground or the ceiling is invalid ground or ceiling, does not participate in DJ and TJ statistics, and does not have a passing judgment value, if the number of the points at the moment is more than 4, the ground or the ceiling is valid ground or ceiling, at the moment, the range is considered, the range is more than A, the ground or the ceiling is not passing, the DJ1 or TJ1 value is 0, otherwise, the ground or the ceiling is passing, and the corresponding value is 1.

the method for calculating the flatness of the ground DP and the wall QP comprises the following steps:

The number of the scanning points exceeds 4, and the scanning points are counted as an effective wall, or else, the scanning points are counted as an ineffective wall and have no flatness judgment value; solving a plane by adopting a mean square error minimization algorithm, testing the shortest distance between each scanning point and a fitting plane, if the shortest distance is greater than a program regulating value V1, the point is an invalid point, and the following quadratic fitting process does not participate in calculation; after the invalid points are removed, performing secondary fitting to obtain a fitting plane; setting a three-dimensional guiding rule area; the 'running rules' with different direction angles move in a plane in sequence, and when the number of measuring points in the area is not less than 4, the combination of the 'flatness measuring points' is registered, and the combination can not be repeated; points in the combination and the fitting plane make a plane projection graph to the corresponding side surface of the guiding ruler; the wall surface fitting line is used as the horizontal direction in the plane graph, and the instrument direction is upward; connecting the projection points of each measuring point pairwise according to a single-cycle rule, and respectively making a vector from the points to the 'connecting lines' from the non-participating connecting lines; only the up-down direction component vectors of these vectors are considered; v with a negative component vector does not participate in the following judgment, and only V with a positive value is considered; if the connection line exists in the flatness measuring point combination, all positive V are not larger than the calculation parameter, and the flatness measuring point combination is judged to pass; otherwise, the group of flatness measuring point combinations is regarded as a failing combination, the position is expressed in the subsequent graph output result, and the minimum deviation figure of the guiding rule is added to the middle section of each failing rule along the direction of the guiding rule; if there is a "bad flatness measurement point combination", then the wall is counted as a bad in the statistics of the number QP of the wall surfaces that have passed.

the calculation method of the wall verticality QC comprises the following steps:

The number of the scanning points exceeds 4, and the scanning points are counted as an effective wall, or else, the scanning points are counted as an ineffective wall and have no verticality judgment value; taking the position of a secondary fitting surface of a QP calculation result; the included angle between the normal line of the fitting surface and the horizontal plane is converted into the number of mm inclined every 2 m; if the converted value is larger than the calculation parameter, the wall surface fails, otherwise, the wall surface passes.

the calculation method of the squareness QF of the internal and external corners comprises the following steps:

the number of scanning points of the left wall and the right wall of the corner exceeds 4, and the wall is counted as an effective internal and external corner, otherwise, the wall is an ineffective internal and external corner and has no squareness judgment value; taking the positions of the secondary fitting surfaces of two adjacent walls of the QP calculation result; if the included angle of the two fitting surfaces is close to 90 degrees or 270 degrees, namely the included angle is different from one of 90 degrees or 270 degrees by no more than V2 in absolute value, the included angle is converted into a value close to 0 degree, the positive and negative directions are not distinguished, for example, 273 degrees need to be 3 degrees, 89 degrees need to be converted into 1 degree; the small angle is converted into the deviation of 140 mm; if the converted value is larger than the calculation parameter, the squareness passes, and otherwise, the squareness passes.

the calculation of the internal and external angle straightness QZ is as follows:

the number of scanning points of the left wall and the right wall of the corner exceeds 4, and the wall is counted as an effective internal and external corner, otherwise, the wall is an ineffective internal and external corner and has no straightness judgment value; taking the position of the secondary fitting surface of two adjacent walls of the QP calculation result, and converting an included angle between an edge vector of the two fitting surfaces and a plumb vector into a positive value close to 0 degree, for example, converting 177 degrees into 3 degrees; the small angle is converted into a converted value of a plurality of mm per 2m, if the small angle is larger than the calculation parameter, the straightness passes, and otherwise, the straightness passes.

The method for calculating the room squareness QS comprises the following steps:

reading all corner frame points, and if the distance between the frame points exceeds V1 and the number of the wall surface scanning points exceeds 4, determining the wall surface as an effective wall surface; taking secondary fitting surfaces of all effective wall surfaces in a room; comparing every two normal vectors of the fitting surfaces, and if the absolute value of the difference between the included angle and 0 or 180 is not more than V2 (not dividing positive and negative), then the fitting surfaces are counted as effective wall pairs; converting the normal vector included angle of the effective wall pair into a positive value close to 0 degree, for example, converting 177 degrees into 3 degrees; the small angle is converted into mm of every 2 m; if the converted value is larger than the calculation parameter, the wall pair passes, and otherwise, the wall pair passes.

the calculation of the door opening width MG and the height MK is as follows:

6 points around a door opening are sequentially and clockwise measured by the field as shown in figure 2, before the field starts, the instrument is supposed to correct the true height by measuring an L point on a '1 meter line', the L point is taken as a Z (0) point of a coordinate system, a 'lateral drift constant' K corresponding to a prism used for the measurement is input into the field, the field is clamped into an A1 character string during the field, the coding mode similar to the construction stage is similar, the unified 'preset' Wa and Ha of a standard building is input into the field, the field is clamped into an A1 character string during the field, the coding mode similar to the construction stage and the preset standard value are determined by a project department after a template is checked and accepted, and are manually recorded and counted into the field input; DW 1-the sum of the 2K and the flat pitch of DW6 is defined as W1, DW 2-the sum of the 2K and the flat pitch of DW5 is defined as W2; the elevation of DW3, DW4 plus K is defined as H1, H2; reading 'preset value control standard values' Wa and Ha before the start of the interior;

Calculation of MK: the method comprises the following steps that W1 and W2 of each door are used as a group, if one of W1-Wa and W2-Wa is larger than AxV1, A is a calculation parameter, V1 is a program adjustment value, the condition is read out from a calculation parameter table and a program adjustment value table of an analysis subsystem respectively, the door opening does not participate in calculation, the door is not calculated in the effective door opening number MK2, and W1-Wa and W2-Wa in the rest door openings are larger than A and smaller than or equal to AxV1, the door opening is calculated as a failing door opening, and if two door openings are not larger than A, the door opening is calculated as a passing door opening;

Calculation of MG: h1 and H2 of each door are used as a group, if one of H1-Ha and H2-Ha is greater than AxV1, the door opening does not participate in calculation, the door is not calculated in the effective door opening number MG2, one of H1-Ha and H2-Ha in the rest door openings is greater than A and less than or equal to AxV1, the door opening is calculated as a failed door opening, and if the two door openings are not greater than A, the door opening is calculated as a passed door opening.

and (6) the data analysis subsystem reads the basic item attribute information of the item, the building number, the floor number and the room number and writes the quality data into a database position appointed by a user according to the data warehousing corresponding relation, thereby realizing the automatic analysis of the engineering quality.

the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included therein.