阅读说明：本技术 一种工程管理用垂直度检测装置及系统 (Perpendicularity detection device and system for engineering management ) 是由 *** 谢圣彪 于 2020-07-27 设计创作，主要内容包括：本发明提供的一种工程管理用垂直度检测装置及系统,首先获取目标建筑物的有限元模型参数以及所述目标建筑物的多个应力数据,其次在确定出目标建筑物中包含有动态形变标签的情况下根据确定出的第一应变集中系数对所述目标建筑物在非形变标签下的应力数据进行调整,然后对非形变标签下的部分应力数据进行标定得到多个标定应力数据,进而为每个标定应力数据设置标定权重值,并根据标定权重值将每个标定应力数据设置于与动态形变标签对应的静态形变标签下,最后基于动态形变标签下的第一应力数据以及静态形变标签下的第二应力数据判断第一结构梁与第二结构梁之间是否垂直。这样,能够便捷且准确地实现对工程建筑的垂直度的检测。(The invention provides a verticality detection device and a verticality detection system for engineering management, which are characterized in that firstly, finite element model parameters of a target building and a plurality of stress data of the target building are obtained, secondly, under the condition that the target building contains the dynamic deformation label, the stress data of the target building under the non-deformation label is adjusted according to the determined first strain concentration coefficient, then calibrating partial stress data under the non-deformation label to obtain a plurality of calibrated stress data, and then setting a calibration weight value for each calibration stress data, setting each calibration stress data under a static deformation label corresponding to the dynamic deformation label according to the calibration weight value, and finally judging whether the first structure beam is vertical to the second structure beam or not based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label. Like this, can realize the straightness's that hangs down to engineering construction detection convenient and accurately.)

1. The utility model provides a straightness detection device that hangs down for engineering management which characterized in that is applied to check out test set, straightness detection device that hangs down for engineering management includes:

the model data acquisition module is used for acquiring finite element model parameters of a target building and a plurality of stress data between a first structural beam and a second structural beam of the target building;

the stress data correction module is used for determining a first strain concentration coefficient between each stress data of the target building under a non-deformation label corresponding to the dynamic deformation label and each stress data of the target building under the dynamic deformation label according to the stress data of the finite element model parameters under the dynamic deformation label and the stress distribution diagram corresponding to the stress data under the dynamic deformation label under the condition that the target building contains the dynamic deformation label based on the finite element model parameters, correcting the stress data of the target building under the non-deformation label and the stress data of the target building under the dynamic deformation label with strain concentration distribution based on the first strain concentration coefficient, and setting the corrected stress data under the dynamic deformation label;

the stress data calibration module is used for determining a second strain concentration coefficient between stress data of the target building under the non-deformation label according to the stress data of the target building under the dynamic deformation label and a stress distribution diagram corresponding to the stress data under the non-deformation label under the condition that the non-deformation label corresponding to the target building contains a plurality of stress data, and calibrating partial stress data under the non-deformation label according to the second strain concentration coefficient between the stress data to obtain a plurality of calibrated stress data;

the stress data setting module is used for setting a calibration weight value for each calibration stress data according to the stress data of the target building under the dynamic deformation label and the stress distribution diagram corresponding to the stress data, and setting each calibration stress data under the static deformation label corresponding to the dynamic deformation label according to the calibration weight value;

and the verticality detection module is used for judging whether the first structural beam is vertical to the second structural beam or not based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label.

2. The apparatus of claim 1, wherein the stress data calibration module is specifically configured to:

acquiring data orientation information of each stress data under the non-deformation label determined based on the second strain concentration coefficient;

aiming at current data pointing information in the data pointing information, determining a pointing evaluation coefficient of the current data pointing information under the non-deformation label based on a first pointing confidence coefficient of the current data pointing information under the non-deformation label and a second pointing confidence coefficient of each data pointing information under the non-deformation label;

and when the orientation evaluation coefficient is in a set value interval, calibrating the stress data corresponding to the orientation evaluation coefficient to obtain calibrated stress data.

3. The apparatus of claim 1, wherein the model data acquisition module is specifically configured to:

obtaining a model thread log to be extracted from a target server, extracting thread parameters of the model thread log, and outputting a log text comprising thread operating parameters and time information corresponding to the thread operating parameters;

listing the time information in the log text as continuous multiple thread running parameters, and determining the time information as a finite element model parameter of the target building;

and extracting the structural topological information of the target building according to the finite element model parameters, and determining a plurality of stress data between the first structural beam and the second structural beam of the target building from the structural topological information.

4. The apparatus according to claim 1, wherein the verticality detection module is specifically configured to:

constructing a first stress track characteristic set corresponding to first stress data and a second stress track characteristic set corresponding to second stress data, wherein the first stress track characteristic set and the second stress track characteristic set respectively comprise a plurality of track sections with different characteristic identification degrees;

extracting a track curve parameter of the first stress data in any track section of the first stress track characteristic set, and determining the track section with the minimum characteristic identification degree in the second stress track characteristic set as a first track section;

mapping the track curve parameters to the first track section according to the convergence coefficient of the finite element parameters between the first structural beam and the second structural beam, and obtaining target curve parameters in the first track section; determining a deformation influence list between the first stress data and the second stress data based on the pairing relationship between the trajectory curve parameters and the target curve parameters;

acquiring a deformation curve parameter in the first track section by taking the target curve parameter as a reference track coordinate point, mapping the deformation curve parameter to the track section where the track curve parameter is located according to the list structure corresponding to the deformation influence list and the priority order of the structure description information, obtaining a mapping curve parameter corresponding to the deformation curve parameter in the track section where the track curve parameter is located, and determining the reference track coordinate point corresponding to the mapping curve parameter as a reference coordinate point;

determining a mapping path for mapping the trajectory curve parameters into the first trajectory segment; according to the matching rate between the mapping curve parameters and parameter sections corresponding to a plurality of path units on the mapping path, sequentially acquiring a current coordinate point corresponding to the reference coordinate point in the second stress track characteristic set until the obtained centrality of the track section where the current coordinate point is located is consistent with the centrality of the reference coordinate point in the first stress track characteristic set, stopping acquiring the current coordinate point in the next track section, and calculating the distance between the current coordinate point and the reference coordinate point; and when the distance is greater than or equal to the set threshold value, the first structural beam and the second structural beam are determined not to be vertical.

5. The apparatus of claim 4, wherein the perpendicularity detection module further comprises a threshold modification sub-module to:

receiving a modification instruction for modifying the set threshold;

and modifying the set threshold according to the modification instruction.

6. A perpendicularity detection system for engineering management, comprising a target server and a detection device communicating with each other, the detection device being configured to at least:

acquiring finite element model parameters of a target building and a plurality of stress data between a first structural beam and a second structural beam of the target building;

under the condition that the target building contains a dynamic deformation label based on the finite element model parameters, determining a first strain concentration coefficient between each stress data of the target building under a non-deformation label corresponding to the dynamic deformation label and each stress data of the target building under the dynamic deformation label according to the stress data of the finite element model parameters under the dynamic deformation label and the stress distribution diagram corresponding to the stress data, correcting the stress data of the target building under the non-deformation label and the stress data of the target building under the dynamic deformation label, wherein the stress data are in strain concentration distribution, and setting the corrected stress data under the dynamic deformation label;

under the condition that a plurality of stress data are contained under a non-deformation label corresponding to the target building, determining a second strain concentration coefficient among the stress data of the target building under the non-deformation label according to the stress data of the target building under the dynamic deformation label and a stress distribution diagram corresponding to the stress data, and calibrating partial stress data under the non-deformation label according to the second strain concentration coefficient among the stress data to obtain a plurality of calibrated stress data;

setting a calibration weight value for each calibration stress data according to the stress data of the target building under the dynamic deformation label and the stress distribution diagram corresponding to the stress data, and setting each calibration stress data under a static deformation label corresponding to the dynamic deformation label according to the calibration weight value;

and judging whether the first structural beam is vertical to the second structural beam or not based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label.

7. The system according to claim 6, characterized in that the detection device is specifically configured to:

acquiring data orientation information of each stress data under the non-deformation label determined based on the second strain concentration coefficient;

aiming at current data pointing information in the data pointing information, determining a pointing evaluation coefficient of the current data pointing information under the non-deformation label based on a first pointing confidence coefficient of the current data pointing information under the non-deformation label and a second pointing confidence coefficient of each data pointing information under the non-deformation label;

and when the orientation evaluation coefficient is in a set value interval, calibrating the stress data corresponding to the orientation evaluation coefficient to obtain calibrated stress data.

8. The system according to claim 6, characterized in that the detection device is specifically configured to:

obtaining a model thread log to be extracted from a target server, extracting thread parameters of the model thread log, and outputting a log text comprising thread operating parameters and time information corresponding to the thread operating parameters;

listing the time information in the log text as continuous multiple thread running parameters, and determining the time information as a finite element model parameter of the target building;

and extracting the structural topological information of the target building according to the finite element model parameters, and determining a plurality of stress data between the first structural beam and the second structural beam of the target building from the structural topological information.

9. The system according to claim 6, characterized in that the detection device is specifically configured to:

constructing a first stress track characteristic set corresponding to first stress data and a second stress track characteristic set corresponding to second stress data, wherein the first stress track characteristic set and the second stress track characteristic set respectively comprise a plurality of track sections with different characteristic identification degrees;

extracting a track curve parameter of the first stress data in any track section of the first stress track characteristic set, and determining the track section with the minimum characteristic identification degree in the second stress track characteristic set as a first track section;

mapping the track curve parameters to the first track section according to the convergence coefficient of the finite element parameters between the first structural beam and the second structural beam, and obtaining target curve parameters in the first track section; determining a deformation influence list between the first stress data and the second stress data based on the pairing relationship between the trajectory curve parameters and the target curve parameters;

acquiring a deformation curve parameter in the first track section by taking the target curve parameter as a reference track coordinate point, mapping the deformation curve parameter to the track section where the track curve parameter is located according to the list structure corresponding to the deformation influence list and the priority order of the structure description information, obtaining a mapping curve parameter corresponding to the deformation curve parameter in the track section where the track curve parameter is located, and determining the reference track coordinate point corresponding to the mapping curve parameter as a reference coordinate point;

determining a mapping path for mapping the trajectory curve parameters into the first trajectory segment; according to the matching rate between the mapping curve parameters and parameter sections corresponding to a plurality of path units on the mapping path, sequentially acquiring a current coordinate point corresponding to the reference coordinate point in the second stress track characteristic set until the obtained centrality of the track section where the current coordinate point is located is consistent with the centrality of the reference coordinate point in the first stress track characteristic set, stopping acquiring the current coordinate point in the next track section, and calculating the distance between the current coordinate point and the reference coordinate point; and when the distance is greater than or equal to the set threshold value, the first structural beam and the second structural beam are determined not to be vertical.

10. The system of claim 9, wherein the detection device is further configured to:

receiving a modification instruction for modifying the set threshold;

and modifying the set threshold according to the modification instruction.

Technical Field

The disclosure relates to the technical field of perpendicularity detection, in particular to a perpendicularity detection device and system for engineering management.

Background

The perpendicularity detection of the engineering building is one of important detection processes for ensuring the construction safety. The existing verticality detection for engineering buildings generally comprises the following two modes: the first is to detect through the squareness slide caliper rule, and the second is to detect through the squareness measurement appearance. However, frequent operation of workers is required for perpendicularity detection through the perpendicularity caliper, so that the working cost can be greatly increased, the accuracy of perpendicularity detection through the perpendicularity measuring instrument can be problematic, and if the tolerance range required by the measuring accuracy is small, the requirement cannot be met through the perpendicularity measuring instrument. Therefore, how to conveniently and accurately detect the perpendicularity of the engineering building is a technical problem to be solved urgently at the present stage.

Disclosure of Invention

In order to solve the technical problem that the perpendicularity of an engineering building is difficult to detect conveniently and accurately in the related art, the disclosure provides a perpendicularity detection device and system for engineering management.

The utility model provides a straightness detection device that hangs down for engineering management is applied to check out test set, straightness detection device that hangs down for engineering management includes:

the model data acquisition module is used for acquiring finite element model parameters of a target building and a plurality of stress data between a first structural beam and a second structural beam of the target building;

the stress data correction module is used for determining a first strain concentration coefficient between each stress data of the target building under a non-deformation label corresponding to the dynamic deformation label and each stress data of the target building under the dynamic deformation label according to the stress data of the finite element model parameters under the dynamic deformation label and the stress distribution diagram corresponding to the stress data under the dynamic deformation label under the condition that the target building contains the dynamic deformation label based on the finite element model parameters, correcting the stress data of the target building under the non-deformation label and the stress data of the target building under the dynamic deformation label with strain concentration distribution based on the first strain concentration coefficient, and setting the corrected stress data under the dynamic deformation label;

the stress data calibration module is used for determining a second strain concentration coefficient between stress data of the target building under the non-deformation label according to the stress data of the target building under the dynamic deformation label and a stress distribution diagram corresponding to the stress data under the non-deformation label under the condition that the non-deformation label corresponding to the target building contains a plurality of stress data, and calibrating partial stress data under the non-deformation label according to the second strain concentration coefficient between the stress data to obtain a plurality of calibrated stress data;

the stress data setting module is used for setting a calibration weight value for each calibration stress data according to the stress data of the target building under the dynamic deformation label and the stress distribution diagram corresponding to the stress data, and setting each calibration stress data under the static deformation label corresponding to the dynamic deformation label according to the calibration weight value;

and the verticality detection module is used for judging whether the first structural beam is vertical to the second structural beam or not based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label.

Optionally, the stress data calibration module is specifically configured to:

acquiring data orientation information of each stress data under the non-deformation label determined based on the second strain concentration coefficient;

aiming at current data pointing information in the data pointing information, determining a pointing evaluation coefficient of the current data pointing information under the non-deformation label based on a first pointing confidence coefficient of the current data pointing information under the non-deformation label and a second pointing confidence coefficient of each data pointing information under the non-deformation label;

and when the orientation evaluation coefficient is in a set value interval, calibrating the stress data corresponding to the orientation evaluation coefficient to obtain calibrated stress data.

Optionally, the model data obtaining module is specifically configured to:

obtaining a model thread log to be extracted from a target server, extracting thread parameters of the model thread log, and outputting a log text comprising thread operating parameters and time information corresponding to the thread operating parameters;

listing the time information in the log text as continuous multiple thread running parameters, and determining the time information as a finite element model parameter of the target building;

and extracting the structural topological information of the target building according to the finite element model parameters, and determining a plurality of stress data between the first structural beam and the second structural beam of the target building from the structural topological information.

Optionally, the verticality detection module is specifically configured to:

constructing a first stress track characteristic set corresponding to first stress data and a second stress track characteristic set corresponding to second stress data, wherein the first stress track characteristic set and the second stress track characteristic set respectively comprise a plurality of track sections with different characteristic identification degrees;

extracting a track curve parameter of the first stress data in any track section of the first stress track characteristic set, and determining the track section with the minimum characteristic identification degree in the second stress track characteristic set as a first track section;

mapping the track curve parameters to the first track section according to the convergence coefficient of the finite element parameters between the first structural beam and the second structural beam, and obtaining target curve parameters in the first track section; determining a deformation influence list between the first stress data and the second stress data based on the pairing relationship between the trajectory curve parameters and the target curve parameters;

acquiring a deformation curve parameter in the first track section by taking the target curve parameter as a reference track coordinate point, mapping the deformation curve parameter to the track section where the track curve parameter is located according to the list structure corresponding to the deformation influence list and the priority order of the structure description information, obtaining a mapping curve parameter corresponding to the deformation curve parameter in the track section where the track curve parameter is located, and determining the reference track coordinate point corresponding to the mapping curve parameter as a reference coordinate point;

determining a mapping path for mapping the trajectory curve parameters into the first trajectory segment; according to the matching rate between the mapping curve parameters and parameter sections corresponding to a plurality of path units on the mapping path, sequentially acquiring a current coordinate point corresponding to the reference coordinate point in the second stress track characteristic set until the obtained centrality of the track section where the current coordinate point is located is consistent with the centrality of the reference coordinate point in the first stress track characteristic set, stopping acquiring the current coordinate point in the next track section, and calculating the distance between the current coordinate point and the reference coordinate point; and when the distance is greater than or equal to the set threshold value, the first structural beam and the second structural beam are determined not to be vertical.

Optionally, the verticality detection module further comprises a threshold modification sub-module, configured to:

receiving a modification instruction for modifying the set threshold;

and modifying the set threshold according to the modification instruction.

The perpendicularity detection system for engineering management comprises a target server and detection equipment which are communicated with each other, wherein the detection equipment is at least used for:

acquiring finite element model parameters of a target building and a plurality of stress data between a first structural beam and a second structural beam of the target building;

under the condition that the target building contains a dynamic deformation label based on the finite element model parameters, determining a first strain concentration coefficient between each stress data of the target building under a non-deformation label corresponding to the dynamic deformation label and each stress data of the target building under the dynamic deformation label according to the stress data of the finite element model parameters under the dynamic deformation label and the stress distribution diagram corresponding to the stress data, correcting the stress data of the target building under the non-deformation label and the stress data of the target building under the dynamic deformation label, wherein the stress data are in strain concentration distribution, and setting the corrected stress data under the dynamic deformation label;

under the condition that a plurality of stress data are contained under a non-deformation label corresponding to the target building, determining a second strain concentration coefficient among the stress data of the target building under the non-deformation label according to the stress data of the target building under the dynamic deformation label and a stress distribution diagram corresponding to the stress data, and calibrating partial stress data under the non-deformation label according to the second strain concentration coefficient among the stress data to obtain a plurality of calibrated stress data;

setting a calibration weight value for each calibration stress data according to the stress data of the target building under the dynamic deformation label and the stress distribution diagram corresponding to the stress data, and setting each calibration stress data under a static deformation label corresponding to the dynamic deformation label according to the calibration weight value;

and judging whether the first structural beam is vertical to the second structural beam or not based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label.

Optionally, the detection device is specifically configured to:

acquiring data orientation information of each stress data under the non-deformation label determined based on the second strain concentration coefficient;

aiming at current data pointing information in the data pointing information, determining a pointing evaluation coefficient of the current data pointing information under the non-deformation label based on a first pointing confidence coefficient of the current data pointing information under the non-deformation label and a second pointing confidence coefficient of each data pointing information under the non-deformation label;

and when the orientation evaluation coefficient is in a set value interval, calibrating the stress data corresponding to the orientation evaluation coefficient to obtain calibrated stress data.

Optionally, the detection device is specifically configured to:

obtaining a model thread log to be extracted from a target server, extracting thread parameters of the model thread log, and outputting a log text comprising thread operating parameters and time information corresponding to the thread operating parameters;

listing the time information in the log text as continuous multiple thread running parameters, and determining the time information as a finite element model parameter of the target building;

and extracting the structural topological information of the target building according to the finite element model parameters, and determining a plurality of stress data between the first structural beam and the second structural beam of the target building from the structural topological information.

Optionally, the detection device is specifically configured to:

constructing a first stress track characteristic set corresponding to first stress data and a second stress track characteristic set corresponding to second stress data, wherein the first stress track characteristic set and the second stress track characteristic set respectively comprise a plurality of track sections with different characteristic identification degrees;

extracting a track curve parameter of the first stress data in any track section of the first stress track characteristic set, and determining the track section with the minimum characteristic identification degree in the second stress track characteristic set as a first track section;

mapping the track curve parameters to the first track section according to the convergence coefficient of the finite element parameters between the first structural beam and the second structural beam, and obtaining target curve parameters in the first track section; determining a deformation influence list between the first stress data and the second stress data based on the pairing relationship between the trajectory curve parameters and the target curve parameters;

acquiring a deformation curve parameter in the first track section by taking the target curve parameter as a reference track coordinate point, mapping the deformation curve parameter to the track section where the track curve parameter is located according to the list structure corresponding to the deformation influence list and the priority order of the structure description information, obtaining a mapping curve parameter corresponding to the deformation curve parameter in the track section where the track curve parameter is located, and determining the reference track coordinate point corresponding to the mapping curve parameter as a reference coordinate point;

determining a mapping path for mapping the trajectory curve parameters into the first trajectory segment; according to the matching rate between the mapping curve parameters and parameter sections corresponding to a plurality of path units on the mapping path, sequentially acquiring a current coordinate point corresponding to the reference coordinate point in the second stress track characteristic set until the obtained centrality of the track section where the current coordinate point is located is consistent with the centrality of the reference coordinate point in the first stress track characteristic set, stopping acquiring the current coordinate point in the next track section, and calculating the distance between the current coordinate point and the reference coordinate point; and when the distance is greater than or equal to the set threshold value, the first structural beam and the second structural beam are determined not to be vertical.

Optionally, the detection device is further configured to:

receiving a modification instruction for modifying the set threshold;

and modifying the set threshold according to the modification instruction.

When the device and the system are applied, firstly, the finite element model parameters of a target building and a plurality of stress data between a first structural beam and a second structural beam of the target building are obtained, secondly, under the condition that the target building contains the dynamic deformation label, the stress data of the target building under the non-deformation label is adjusted according to the determined first strain concentration coefficient, then calibrating partial stress data under the non-deformation label based on the determined second strain concentration coefficient to obtain a plurality of calibrated stress data, and then setting a calibration weight value for each calibration stress data, setting each calibration stress data under a static deformation label corresponding to the dynamic deformation label according to the calibration weight value, and finally judging whether the first structure beam is vertical to the second structure beam or not based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label. Like this, can realize the straightness's that hangs down to engineering construction detection convenient and accurately.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.

Fig. 1 is a block diagram of a perpendicularity detection apparatus for engineering management according to the present disclosure.

FIG. 2 is an architectural diagram illustrating a perpendicularity detection system for engineering management according to an exemplary embodiment.

Fig. 3 is a schematic diagram illustrating a hardware structure of a detection apparatus according to an exemplary embodiment.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

The embodiment of the invention provides a perpendicularity detection device and system for engineering management, which can indirectly determine the perpendicularity between frame structures of target buildings by analyzing the stress state of the target buildings, on one hand, frequent perpendicularity detection of the target buildings is not required to be performed by calipers, on the other hand, the perpendicularity between the frame structures of the target buildings can be accurately determined, and therefore the detection of the perpendicularity of the engineering buildings is conveniently and accurately realized.

Referring to fig. 1, a perpendicularity detecting apparatus 100 for engineering management is provided, the perpendicularity detecting apparatus 100 for engineering management is applied to a detecting device 200 shown in fig. 2, and the perpendicularity detecting apparatus 100 for engineering management may include the following functional modules.

A model data acquisition module 110 is configured to acquire finite element model parameters of a target building and a plurality of stress data between a first structural beam and a second structural beam of the target building.

The stress data modification module 120 is configured to, when it is determined that the target building includes a dynamic deformation tag based on the finite element model parameter, determine, according to the stress data of the finite element model parameter under the dynamic deformation tag and the stress distribution map corresponding to the stress data, a first strain concentration coefficient between each stress data of the target building under a non-deformation tag corresponding to the dynamic deformation tag and each stress data of the target building under the dynamic deformation tag, modify, based on the first strain concentration coefficient, the stress data of the target building under the non-deformation tag and the stress data of the target building under the dynamic deformation tag, where the stress data has a strain concentration distribution, and set the modified stress data under the dynamic deformation tag.

The stress data calibration module 130 is configured to, when the non-deformation label corresponding to the target building includes a plurality of stress data, determine a second strain concentration coefficient between the stress data of the target building under the non-deformation label according to the stress data of the target building under the dynamic deformation label and the stress distribution map corresponding to the stress data, and calibrate partial stress data under the non-deformation label according to the second strain concentration coefficient between the stress data, so as to obtain a plurality of calibrated stress data.

The stress data setting module 140 is configured to set a calibration weight value for each calibration stress data according to the stress data of the target building under the dynamic deformation label and the stress distribution map corresponding to the stress data, and set each calibration stress data under the static deformation label corresponding to the dynamic deformation label according to the calibration weight value.

And the verticality detection module 150 is configured to determine whether the first structural beam is perpendicular to the second structural beam based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label.

Through the corresponding functions of the modules, firstly, acquiring finite element model parameters of a target building and a plurality of stress data between a first structural beam and a second structural beam of the target building, secondly, under the condition that the target building contains the dynamic deformation label, the stress data of the target building under the non-deformation label is adjusted according to the determined first strain concentration coefficient, then calibrating partial stress data under the non-deformation label based on the determined second strain concentration coefficient to obtain a plurality of calibrated stress data, and then setting a calibration weight value for each calibration stress data, setting each calibration stress data under a static deformation label corresponding to the dynamic deformation label according to the calibration weight value, and finally judging whether the first structure beam is vertical to the second structure beam or not based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label. Like this, can realize the straightness's that hangs down to engineering construction detection convenient and accurately.

In one possible implementation manner, in order to ensure the reliability of the vertical determination result, the verticality detecting module 150 may specifically perform the following steps S151 to S154 when implementing the function of determining whether the first structural beam and the second structural beam are vertical based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label.

Step S151, a first stress trajectory feature set corresponding to the first stress data is constructed, and a second stress trajectory feature set corresponding to the second stress data is constructed, where the first stress trajectory feature set and the second stress trajectory feature set respectively include a plurality of trajectory sections with different feature recognition degrees.

Step S152, extracting a trajectory curve parameter of the first stress data in any trajectory segment of the first stress trajectory feature set, and determining the trajectory segment having the minimum feature recognition in the second stress trajectory feature set as the first trajectory segment.

Step S153, mapping the track curve parameters to the first track section according to the convergence coefficient of the finite element parameters between the first structural beam and the second structural beam, and obtaining target curve parameters in the first track section; determining a list of deformation impacts between the first stress data and the second stress data based on a pairing relationship between the trajectory curve parameters and the target curve parameters.

Step S154, obtaining a deformation curve parameter in the first track section by using the target curve parameter as a reference track coordinate point, mapping the deformation curve parameter to a track section where the track curve parameter is located according to a list structure corresponding to the deformation influence list and a priority order of the structure description information, obtaining a mapping curve parameter corresponding to the deformation curve parameter in the track section where the track curve parameter is located, and determining the reference track coordinate point corresponding to the mapping curve parameter as a reference coordinate point.

Step S155, determining a mapping path for mapping the trajectory curve parameter to the first trajectory segment; according to the matching rate between the mapping curve parameters and parameter sections corresponding to a plurality of path units on the mapping path, sequentially acquiring a current coordinate point corresponding to the reference coordinate point in the second stress track characteristic set until the obtained centrality of the track section where the current coordinate point is located is consistent with the centrality of the reference coordinate point in the first stress track characteristic set, stopping acquiring the current coordinate point in the next track section, and calculating the distance between the current coordinate point and the reference coordinate point; and when the distance is greater than or equal to the set threshold value, the first structural beam and the second structural beam are determined not to be vertical.

It can be understood that, with the contents described in the above steps S151 to S155, the distance between the coordinate points can be given to accurately determine whether the first structural beam and the second structural beam are perpendicular, thereby ensuring the reliability of the perpendicular determination result.

On the basis, the verticality detection module 150 further includes a threshold modification sub-module 1501, specifically configured to: and receiving a modification instruction for modifying the set threshold, and modifying the set threshold according to the modification instruction. Thus, the setting threshold value can be flexibly set according to different target buildings, and the usability of verticality detection is ensured.

In practical applications, in order to calibrate the stress data accurately, when the stress data calibration module 130 implements a function of calibrating the partial stress data under the non-deformation label according to the second strain concentration coefficient between the stress data to obtain a plurality of calibrated stress data, the function may be implemented specifically by the following contents described in step S131 to step S133.

Step S131, acquiring data orientation information of each stress data under the non-deformation label determined based on the second strain concentration coefficient.

Step S132, for current data pointing information in the data pointing information, determining a pointing evaluation coefficient of the current data pointing information under the non-deformation label based on a first pointing confidence of the current data pointing information under the non-deformation label and a second pointing confidence of each piece of data pointing information under the non-deformation label.

And step S133, calibrating the stress data corresponding to the orientation evaluation coefficient to obtain calibrated stress data when the orientation evaluation coefficient is in the set value interval.

When the functions described in steps S131 to S133 are implemented, the stress data calibration module 130 can accurately calibrate the stress data based on the orientation confidence of the data orientation information of different stress data.

In a specific embodiment, the model data acquisition module 110 realizes the function of acquiring the finite element model parameters of the target building and the plurality of stress data between the first structural beam and the second structural beam of the target building specifically by the following manners (1) to (3).

(1) The method comprises the steps of obtaining a model thread log to be extracted from a target server, extracting thread parameters of the model thread log, and outputting a log text comprising thread operating parameters and time information corresponding to the thread operating parameters.

(2) And listing the time information in the log text as a plurality of continuous thread running parameters, and determining the time information as a finite element model parameter of the target building.

(3) And extracting the structural topological information of the target building according to the finite element model parameters, and determining a plurality of stress data between the first structural beam and the second structural beam of the target building from the structural topological information.

When the method described in (1) to (3) above is applied, the obtained model thread log can be subjected to parameter extraction, and finite element model parameters and a plurality of stress data between the first structural beam and the second structural beam of the target building can be accurately determined.

On the basis of the above, please refer to fig. 2 in combination, there is provided a perpendicularity detecting system 400 for engineering management, including a target server 300 and a detecting device 200 communicating with each other, where the detecting device 200 is at least used for:

acquiring finite element model parameters of a target building and a plurality of stress data between a first structural beam and a second structural beam of the target building;

under the condition that the target building contains a dynamic deformation label based on the finite element model parameters, determining a first strain concentration coefficient between each stress data of the target building under a non-deformation label corresponding to the dynamic deformation label and each stress data of the target building under the dynamic deformation label according to the stress data of the finite element model parameters under the dynamic deformation label and the stress distribution diagram corresponding to the stress data, correcting the stress data of the target building under the non-deformation label and the stress data of the target building under the dynamic deformation label, wherein the stress data are in strain concentration distribution, and setting the corrected stress data under the dynamic deformation label;

under the condition that a plurality of stress data are contained under a non-deformation label corresponding to the target building, determining a second strain concentration coefficient among the stress data of the target building under the non-deformation label according to the stress data of the target building under the dynamic deformation label and a stress distribution diagram corresponding to the stress data, and calibrating partial stress data under the non-deformation label according to the second strain concentration coefficient among the stress data to obtain a plurality of calibrated stress data;

setting a calibration weight value for each calibration stress data according to the stress data of the target building under the dynamic deformation label and the stress distribution diagram corresponding to the stress data, and setting each calibration stress data under a static deformation label corresponding to the dynamic deformation label according to the calibration weight value;

and judging whether the first structural beam is vertical to the second structural beam or not based on the first stress data under the dynamic deformation label and the second stress data under the static deformation label.

Optionally, the detection apparatus 200 is specifically configured to:

acquiring data orientation information of each stress data under the non-deformation label determined based on the second strain concentration coefficient;

aiming at current data pointing information in the data pointing information, determining a pointing evaluation coefficient of the current data pointing information under the non-deformation label based on a first pointing confidence coefficient of the current data pointing information under the non-deformation label and a second pointing confidence coefficient of each data pointing information under the non-deformation label;

and when the orientation evaluation coefficient is in a set value interval, calibrating the stress data corresponding to the orientation evaluation coefficient to obtain calibrated stress data.

Optionally, the detection apparatus 200 is specifically configured to:

obtaining a model thread log to be extracted from a target server, extracting thread parameters of the model thread log, and outputting a log text comprising thread operating parameters and time information corresponding to the thread operating parameters;

listing the time information in the log text as continuous multiple thread running parameters, and determining the time information as a finite element model parameter of the target building;

and extracting the structural topological information of the target building according to the finite element model parameters, and determining a plurality of stress data between the first structural beam and the second structural beam of the target building from the structural topological information.

Optionally, the detection apparatus 200 is specifically configured to:

constructing a first stress track characteristic set corresponding to first stress data and a second stress track characteristic set corresponding to second stress data, wherein the first stress track characteristic set and the second stress track characteristic set respectively comprise a plurality of track sections with different characteristic identification degrees;

extracting a track curve parameter of the first stress data in any track section of the first stress track characteristic set, and determining the track section with the minimum characteristic identification degree in the second stress track characteristic set as a first track section;

mapping the track curve parameters to the first track section according to the convergence coefficient of the finite element parameters between the first structural beam and the second structural beam, and obtaining target curve parameters in the first track section; determining a deformation influence list between the first stress data and the second stress data based on the pairing relationship between the trajectory curve parameters and the target curve parameters;

acquiring a deformation curve parameter in the first track section by taking the target curve parameter as a reference track coordinate point, mapping the deformation curve parameter to the track section where the track curve parameter is located according to the list structure corresponding to the deformation influence list and the priority order of the structure description information, obtaining a mapping curve parameter corresponding to the deformation curve parameter in the track section where the track curve parameter is located, and determining the reference track coordinate point corresponding to the mapping curve parameter as a reference coordinate point;

determining a mapping path for mapping the trajectory curve parameters into the first trajectory segment; according to the matching rate between the mapping curve parameters and parameter sections corresponding to a plurality of path units on the mapping path, sequentially acquiring a current coordinate point corresponding to the reference coordinate point in the second stress track characteristic set until the obtained centrality of the track section where the current coordinate point is located is consistent with the centrality of the reference coordinate point in the first stress track characteristic set, stopping acquiring the current coordinate point in the next track section, and calculating the distance between the current coordinate point and the reference coordinate point; and when the distance is greater than or equal to the set threshold value, the first structural beam and the second structural beam are determined not to be vertical.

Optionally, the detection apparatus 200 is further configured to:

receiving a modification instruction for modifying the set threshold;

and modifying the set threshold according to the modification instruction.

On the basis of the above, please refer to fig. 3 in combination, a hardware structure diagram of the detection apparatus 200 in fig. 2 is provided, the detection apparatus 200 includes a processor 210 and a memory 220 which are communicated with each other, and the processor 210 implements the functions of the device shown in fig. 1 by executing the computer program called from the memory 220.