CN109558622A - A kind of execution management method therefor and device scanned based on cloud - Google Patents
A kind of execution management method therefor and device scanned based on cloud Download PDFInfo
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Abstract
The present invention is suitable for point cloud scanning technique field, provides a kind of based on an execution management method therefor and device for cloud scanning, comprising: obtain the point cloud data that unmanned plane laser scanning construction site obtains；The point cloud model of construction site is established after pre-processing to the point cloud data；It is fitted the point cloud model and construction BIM model to obtain model of fit；Discrepancy report is generated according to the deviation of point cloud model in the model of fit and BIM model of constructing.The embodiment of the present invention solves the problems, such as that artificial field measurement data precision is low, inefficient and need to expend a large amount of manpower and time in the prior art, the embodiment of the present invention can quickly find abnormal place of constructing in construction site, and measurement accuracy is high, participation without manpower, improve the efficiency of construction Supervision, so that management analysis is more acurrate, management quality and project management efficiency are improved.
Description
Technical field
The invention belongs to cloud scanning technique field more particularly to a kind of execution management method therefors and dress scanned based on cloud
It sets.
Background technique
Currently, the application of BIM model is very extensive in building trade, by establishing BIM model before construction, can have
Effect is used for project planning, collaborative design, collision detection, the performance evaluation, construction simulation, cost of construction project life cycle management
With progress monitoring etc..Although having the BIM model of very fineization as construction reference, in practical construction
Cheng Zhong, due to a large amount of artificial participations and mechanical errors, the problem of encountering construction error often, traditional construction Supervision is
Related supervisor is according to correlated quality acceptance specification application measuring tool, and by on-the-spot test, measure to obtain can be really anti-
Structural quality data are reflected, and are compared according to measured truthful data with design data, manual evaluation, this mode are carried out
Need to expend a large amount of manpower with the time to complete, and artificial measure data precision is low, it is inefficient.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of execution management method therefors and device scanned based on cloud, with solution
Certainly traditional construction Supervision needs to expend a large amount of manpower with the time to complete, and artificial measure data precision is low, and efficiency is not
High problem.
The first aspect of the embodiment of the present invention provides a kind of based on an execution management method therefor for cloud scanning, comprising:
Obtain the point cloud data that unmanned plane laser scanning construction site obtains；
The point cloud model of construction site is established after pre-processing to the point cloud data；
It is fitted the point cloud model and construction BIM model to obtain model of fit；
Discrepancy report is generated according to the deviation of point cloud model in the model of fit and BIM model of constructing.
Further, it is described the point cloud data is pre-processed after establish the point cloud model of construction site, comprising:
The point cloud model of construction site is established after the point cloud data is filtered, is registrated, compresses and is divided.
Further, it is described by the point cloud model and construction BIM model be fitted to obtain model of fit before, also wrap
It includes:
The point cloud model and construction BIM model are subjected to coordinate alignment.
Further, described that the point cloud model and construction BIM model are fitted after obtaining model of fit, also wrap
It includes:
The deviation position of point cloud model described in model of fit and construction BIM model is subjected to color rendering.
Further, the deviation position by point cloud model described in model of fit and construction BIM model carries out color
Rendering, comprising:
Using and the deviation at the deviation position corresponding to color deviation position is rendered.
Further, the discrepancy report includes at least one of the following: the deviation of the position at deviation position, deviation position
Value, the classification of the deviation at deviation position.
Further, the method also includes:
The point cloud model for obtaining different construction times generates construction speed report according to the point cloud model of different construction times
It accuses.
The second aspect of the embodiment of the present invention provides a kind of based on a construction management device for cloud scanning, comprising:
Obtain module, the point cloud data obtained for obtaining unmanned plane laser scanning construction site；
Modeling module, for establishing the point cloud model of construction site after pre-processing to the point cloud data；
Fitting module, for being fitted the point cloud model and construction BIM model to obtain model of fit；
Generation module, it is inclined for being generated according to the skew component of point cloud model in the model of fit and construction BIM model
Difference report.
The third aspect the embodiment of the invention provides a kind of terminal, including processor, input equipment, output equipment and is deposited
Reservoir, the processor, input equipment, output equipment and memory are connected with each other, wherein the memory is supported for storing
Terminal executes the computer program of the above method, and the computer program includes program instruction, and the processor is configured for
Call described program instruction, the method for executing above-mentioned first aspect.
Fourth aspect, the embodiment of the invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, and the computer program includes program instruction, and described program instructs when being executed by a processor
The method for making the processor execute above-mentioned first aspect.
The point cloud data that the embodiment of the present invention is obtained by obtaining unmanned plane laser scanning construction site；To described cloud number
According to the point cloud model for establishing construction site after being pre-processed；The point cloud model and construction BIM model are fitted to obtain
Model of fit；Discrepancy report is generated according to the deviation of point cloud model in the model of fit and BIM model of constructing.The present invention is implemented
It is low, inefficient and need to expend a large amount of manpower and time that example solves artificial field measurement data precision in the prior art
The problem of, the embodiment of the present invention can quickly find abnormal place of constructing in construction site, and measurement accuracy is high, be not necessarily to manpower
Participation, improve the efficiency of construction Supervision so that management analysis it is more acurrate, improve management quality and project management efficiency.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of implementation process signal based on the execution management method therefor of cloud scanning provided in an embodiment of the present invention
Figure；
Fig. 2 is another implementation process signal based on the execution management method therefor of cloud scanning provided in an embodiment of the present invention
Figure；
Fig. 3 is another implementation process signal based on the execution management method therefor of cloud scanning provided in an embodiment of the present invention
Figure；
Fig. 4 is another implementation process signal based on the execution management method therefor of cloud scanning provided in an embodiment of the present invention
Figure；
Fig. 5 is provided in an embodiment of the present invention a kind of based on a schematic diagram for the construction management device of cloud scanning；
Fig. 6 is the schematic diagram of terminal device provided in an embodiment of the present invention.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, in case unnecessary details interferes description of the invention.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but one or more of the other feature, whole is not precluded
Body, step, operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this description of the invention merely for the sake of description specific embodiment
And be not intended to limit the present invention.As description of the invention and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
It is a kind of signal stream of execution management method therefor scanned based on cloud provided in an embodiment of the present invention with reference to Fig. 1, Fig. 1
Cheng Tu, this method executing subject are server, and the server executes the method as described in step S101 to S104, this method packet
It includes: step S101 to step S104.
Step S101 obtains the point cloud data that unmanned plane laser scanning construction site obtains.
What three-dimensional laser scanner obtained is the 3 d space coordinate of each sampled point of target object surface, many in this way
Sampled point will form the set of a point, referred to as point cloud data.Its main feature is that three-dimensional, data volume are big, high density, have target
Object light characteristic information.Under normal circumstances, 3 d space coordinate (X, Y, Z), the color letter of the information that point cloud data includes a little
Cease the image information of (RGB), reflected intensity, target entity.These data exist together in the data file of specific format.Usually
In the case of three dimensional point cloud all in the form of text organize or mutually converted for medium.
It in the prior art, is all the three dimensional point cloud that object is obtained by spatial digitizer fixed on ground,
But when facing skyscraper or rough terrain, the drawback that scanning accuracy is not high, the covering of survey area is not complete there is,
And the scan period is long, consumes the excessive time.
In embodiments of the present invention, three-dimensional laser is carried out to construction site using unmanned plane combination three-dimensional laser scanner
Scanning.By fixing three-dimensional laser scanner on unmanned plane, unmanned plane shooting course line and establishing shot point are set, so that nothing
The course line that man-machine basis is set is shot, to obtain the point cloud data of construction site.It is swept by UAV flight's laser
The interference of orographic condition can be overcome by retouching instrument, reduce manpower, accelerate scanning speed.
Optionally, in order to promoted the later period foundation model precision, can unmanned plane obtain point cloud data on the basis of tie
The point cloud data that terrestrial Laser scanner obtains is closed to be modeled.
Step S102 establishes the point cloud model of construction site after pre-processing to the point cloud data.
It is described the point cloud data is pre-processed after establish the point cloud model of construction site, comprising:
The point cloud model of construction site is established after the point cloud data is filtered, is registrated, compresses and is divided.
It is commonly referred to as original point cloud data by the point cloud data that three-dimensional laser scanner obtains, original point cloud data must
It must could be used to model by pretreatment.In embodiments of the present invention, it is necessary to be filtered by cloud data registration, point cloud data
The operation processings such as wave, point cloud data compression, point cloud data segmentation, could establish grid, generate model, and carry out texture mapping,
It is finally added in three-dimensional scenic, realizes the various applications of three-dimensional modeling data.
Cloud data registration is also known as coordinate adjustment, is to model necessary important number using three dimensional point cloud under large scene
According to one for the treatment of process.Due to the complexity of environment, when carrying out data acquisition, it is often necessary to by reasonably laying multiple surveys
It stands, multi-angle, have being scanned to some or multiple objects for certain registration.The number of each survey station collected in this way
According to the coordinate system for having oneself.For going on smoothly for follow-up work, we must be unified the data under this different coordinates
To under same-a coordinate system, this work is exactly cloud data registration.Common method for registering has quaternary number registration Algorithm, six ginsengs
Number registration Algorithm, ICP algorithm etc., in embodiments of the present invention, are not defined the method for cloud data registration, can be used and appoint
It anticipates the method for Registration of Measuring Data a kind of, for example, in an embodiment of the present invention, using quaternary number registration Algorithm to point cloud data
It is registrated.
When due to carrying out point cloud data acquisition on the spot, influenced by various artificial or random reason, original point cloud number
It is inevitable in mix noise spot.It, will be to works such as subsequent data segmentation, model creations if these noise spots are not rejected
Great influence is caused, or even the quality of threedimensional model achievement can be reduced.Therefore, it is needed point cloud data in the embodiment of the present invention
It is filtered.Common data filtering algorithm has smothing filtering, bilateral filtering algorithm etc., in embodiments of the present invention, no
The method of point cloud data filtering is defined, the method that any one data filtering can be used, for example, in one kind of the invention
In embodiment, point cloud data is filtered using bilateral filtering algorithm.
It needs to compress point cloud data in following two situation, the first is removal data redundancy, due to ordinary circumstance
Under, the point cloud model for surveying area is all made of the cloud data registration obtained as multiple survey stations, must between every two site clouds data
There is coincidence.After cloud data registration, the density in the place of all coincidences, point is just excessive, occupies a large amount of memory space, influences
Point cloud storage and the efficiency for putting cloud operation, in this case, so that it may point of use cloud data compression method to Point Cloud Processing,
Reduce data redundancy.Second is simplified point cloud data, make a little distribution rationalize.It is built for using point cloud data to carry out three-dimensional
It is general to require to need point cloud data comparatively dense in the place of aspect of model complexity for mould, and feature is simply local, needs
Point cloud data is sparse, for needing the region of point cloud data comparatively dense just to need to compress point cloud data.Common point
Cloud data compression algorithm has regional barycenter compression algorithm, based on very number Ju compression algorithm of three-dimensional TIN etc., in the embodiment of the present invention
In, the method for point cloud data compression is not defined, the method that any one data compression can be used, for example, in the present invention
A kind of embodiment in, using area center of gravity compression algorithm compresses point cloud data.
Point cloud data segmentation is exactly the global feature and local curved surface features according to cloud, whole point cloud is divided into several
A zonule, and each zonule can correspond to a natural curved surface, and these zonules contain only it is specific from some
Natural curved surface on the point that acquires.Common point cloud data partitioning algorithm has two classes: first kind method be based on edge detection,
Using the variation of detection point cloud data as starting point；Second class method foot is based on region detection, the consistency of detection data
As starting point.Method based on edge detection is generally first extracted the discontinuous marginal point of characteristic with certain edge detection operator
Out, such as Curvature varying, then these marginal points are connected, constitutes closed region contour one by one.This method
Advantage is can to accurately obtain the boundary line in region, the disadvantage is that can usually constitute the region contour of fracture, need to be played by very numerous
Miscellaneous post-processing could be completed finally to divide, and the marginal point in the region is often unable to get when surface curvature is discontinuous.
Method based on region detection is that will have to deposit identity characteristic, one region of point cloud composition adjacent each other, its advantage is that energy
Enough battle arrays of protecting obtain closed region.Algorithm of region growing and algorithm based on clustering technique are all subordinated to the side based on region detection
Method.In embodiments of the present invention, the method for point cloud data segmentation is not defined, the side that any one data can be used to divide
Method, for example, in an embodiment of the present invention, using.Algorithm of region growing is split point cloud data.
Optionally, if single site cloud data volume is excessive, if filtered again after registration, work difficulty will be greatly increased, to meter
It calculates and confidential asks especially high.Therefore, the filtering of each site cloud data first can be carried out according to the actual situation, then carries out a cloud number again
It is handled according to registration, data compression etc..
The original point cloud data that three-dimensional laser scanner obtains is filtered by cloud data registration, point cloud data, point cloud
After the operation processings such as data compression, point cloud data segmentation, so that it may carry out three-dimensional point cloud mould using pretreated point cloud data
Type establishes.Common point cloud data modeling software has PolyWorks, Clyclone etc., in a kind of embodiment of the invention
In, it Clyclone software can be used to carry out the foundation of point cloud model to pretreated point cloud data, by pretreated cloud
Data are stored in Clyclone database, using corresponding modeling function, carry out the foundation of three-dimensional point cloud model.
Step S103 is fitted the point cloud model and construction BIM model to obtain model of fit.
In an embodiment of the present invention, Geomagic control software can be used to point cloud model and BIM mould
Type is fitted.Firstly, point cloud model and BIM model are imported into Geomagic control software, with three-dimensional point cloud mould
On the basis of the outside of type and the outer surface of BIM model, extensive same place is chosen, by Geomagic control software to point
Cloud model and BIM model are fitted, and obtain model of fit.
Step S104 generates discrepancy report according to the deviation of point cloud model in the model of fit and BIM model of constructing.
In model of fit, on the basis of the outside of three-dimensional point cloud model and the outer surface of BIM model, choose extensive same
Famous cake obtains coordinate position of the same place on 2 kinds of models respectively, can be with according to coordinate position of the same place on 2 kinds of models
The deviation for learning that the point occurs can specifically learn the construction site by the deviation of a large amount of continuity point of some construction site
The deformation situation of generation.Discrepancy report, the deviation are generated according to the deviation of point cloud model in model of fit and BIM model of constructing
Report includes deviation location information, deviates deformation data, deviation portion that construction location, skew component where position occur
The information such as the deviation levels information of position.For example, the point cloud model of some construction site and BIM model of constructing in model of fit
It is not overlapped, by comparing specific location of a large amount of continuity points in 2 models, it is found that the position requires to build in BIM model
It is set as tree-shaped 1 meter, and is shown as skewed 0.8 meter in point cloud model.
After generating discrepancy report according to the concrete condition of deviation, discrepancy report can be sent to construction personnel or construction supervision
On the intelligent terminal of personnel, facilitates and construction personnel is arranged to rectify and improve.
The point cloud data that the embodiment of the present invention is obtained by obtaining unmanned plane laser scanning construction site；To described cloud number
According to the point cloud model for establishing construction site after being pre-processed；The point cloud model and construction BIM model are fitted to obtain
Model of fit；Discrepancy report is generated according to the deviation of point cloud model in the model of fit and BIM model of constructing.The present invention is implemented
It is low, inefficient and need to expend a large amount of manpower and time that example solves artificial field measurement data precision in the prior art
The problem of, the embodiment of the present invention can quickly find abnormal place of constructing in construction site, and measurement accuracy is high, be not necessarily to manpower
Participation, improve the efficiency of construction Supervision so that management analysis it is more acurrate, improve management quality and project management efficiency.
As shown in Fig. 2, in foregoing invention embodiment step S103: it is described by the point cloud model and construction BIM model into
It further include step S1031 before row fitting obtains model of fit.
The point cloud model and construction BIM model are carried out coordinate alignment by step S1031.
It is described to carry out coordinate to be aligned being exactly to carry out the coordinate system of 2 models by the point cloud model and construction BIM model
It is unified.
The foundation of its measurement of the point cloud data model of foundation is WGS-84 ellipsoid, and the coordinate frame system of use is
ITRF2000.The coordinate system that construction BIM model uses is either state coordinate system, is also possible to local coordinate system.
And be fitted the point cloud model and construction BIM model, need to be converted to the coordinate system of point cloud model construction BIM mould
The coordinate system of type three-dimensional Separation regression method can be used to turn the WGS-84 coordinate system of point cloud model in embodiments of the present invention
It is changed to national coordinate system or the Area Coordinates system of construction BIM model.Point cloud model and construction BIM model, which are carried out coordinate alignment, is
The precondition of model of fit is obtained, only coordinate system is unified, and the calculating of subsequent deviation could be accurate.
As shown in figure 3, in foregoing invention embodiment step S103: it is described by the point cloud model and construction BIM model into
It further include step S1032 after row fitting obtains model of fit.
The deviation position of point cloud model described in model of fit and construction BIM model is carried out color wash with watercolours by step S1032
Dye.
The deviation position by point cloud model described in model of fit and construction BIM model carries out color rendering, comprising:
Using and the deviation at the deviation position corresponding to color deviation position is rendered.
In embodiments of the present invention, different colors is arranged to different deviation ranges, on the basis of BIM model, root
The extent of deviation at the deviation position of strong point cloud model and BIM model, with and the deviation at deviation position corresponding to color carry out
Rendering, for example, setting green for deviation 0-5cm, 5-10cm is set as yellow, and 10-15cm is set as red.If deviation portion
For deviation a part of position in 0-5cm, a part then uses green and red right respectively in 10-15cm according to deviation
That answers carries out color rendering for deviation position.Deviation position is rendered by the color for being arranged different, it can be very clear
Discovery deviation concrete condition and severity, for example, we be arranged green be normal deviate, yellow be general deviation, it is red
Color is severe deviations, when color is red and yellow, sends discrepancy report to default terminal, discrepancy report include it is following at least
One: the position at deviation position, the deviation at deviation position, the classification of the deviation at deviation position.
It is the signal of another execution management method therefor scanned based on cloud provided in an embodiment of the present invention with reference to Fig. 4, Fig. 4
Flow chart, the method also includes step S105.
Step S105 obtains the point cloud model of different construction times, is applied according to the generation of the point cloud model of different construction times
Work progress report.
The point cloud model of different construction times is obtained, for example, During Initial Stage Construction, mid-term, later period etc., by comparing different constructions
The point cloud model in period can learn specific construction speed, generate construction speed according to the point cloud model of different construction times
Report.Include constructing overall or certain building component construction speed very in the construction speed report, is advanced or stagnant
Afterwards, which is partially completed and does not complete which part, and average daily construction volume is how many etc..
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
It is a kind of signal of construction management device 50 scanned based on cloud provided in an embodiment of the present invention with reference to Fig. 5, Fig. 5
Figure, as shown in figure 5, the device includes: to obtain module 51, modeling module 52, fitting module 53 and generation module 54.
Obtain module 51, the point cloud data obtained for obtaining unmanned plane laser scanning construction site；
Modeling module 52, for establishing the point cloud model of construction site after pre-processing to the point cloud data；
Fitting module 53, for being fitted the point cloud model and construction BIM model to obtain model of fit；
Generation module 54, for being generated according to the skew component of point cloud model in the model of fit and construction BIM model
Discrepancy report.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Fig. 6 is the schematic diagram for the terminal device that one embodiment of the invention provides.As shown in fig. 6, the terminal of the embodiment is set
Standby 6 include: processor 60, memory 61 and are stored in the meter that can be run in the memory 61 and on the processor 60
Calculation machine program 62.The processor 60 realizes the step in above-mentioned each embodiment of the method when executing the computer program 62,
Such as step 101 shown in FIG. 1 is to 104.Alternatively, the processor 60 realizes above-mentioned each dress when executing the computer program 62
Set the function of each module/unit in embodiment, such as the function of module 51 to 54 shown in Fig. 5.
Illustratively, the computer program 62 can be divided into one or more modules, one or more of
Module is stored in the memory 61, and is executed by the processor 60, to complete the present invention.One or more of moulds
Block can be the series of computation machine program instruction section that can complete specific function, and the instruction segment is for describing the computer journey
Implementation procedure of the sequence 62 in the terminal device 6.
The terminal device 6 can be the calculating such as desktop PC, notebook, palm PC and cloud server and set
It is standby.The terminal device may include, but be not limited only to, processor 60, memory 61.It will be understood by those skilled in the art that Fig. 6
The only example of terminal device 6 does not constitute the restriction to terminal device 6, may include than illustrating more or fewer portions
Part perhaps combines certain components or different components, such as the terminal device can also include input-output equipment, net
Network access device, bus etc..
Alleged processor 60 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 61 can be the internal storage unit of the terminal device 6, such as the hard disk or interior of terminal device 6
It deposits.The memory 61 is also possible to the External memory equipment of the terminal device 6, such as be equipped on the terminal device 6
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, the memory 61 can also both include the storage inside list of the terminal device 6
Member also includes External memory equipment.The memory 61 is for storing needed for the computer program and the terminal device
Other programs and data.The memory 61 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as
Multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device
Or the INDIRECT COUPLING or communication connection of unit, it can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the present invention realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..Computer-readable Jie
Matter may include: can carry the computer program code any entity or device, recording medium, USB flash disk, mobile hard disk,
Magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice
Subtract, such as does not include electric carrier signal and electricity according to legislation and patent practice, computer-readable medium in certain jurisdictions
Believe signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of based on an execution management method therefor for cloud scanning characterized by comprising
Obtain the point cloud data that unmanned plane laser scanning construction site obtains；
The point cloud model of construction site is established after pre-processing to the point cloud data；
It is fitted the point cloud model and construction BIM model to obtain model of fit；
Discrepancy report is generated according to the deviation of point cloud model in the model of fit and BIM model of constructing.
2. the method as described in claim 1, which is characterized in that it is described the point cloud data is pre-processed after establish construction
The point cloud model at scene, comprising:
The point cloud model of construction site is established after the point cloud data is filtered, is registrated, compresses and is divided.
3. the method as described in claim 1, which is characterized in that described to intend the point cloud model and construction BIM model
Conjunction obtains before model of fit, further includes:
The point cloud model and construction BIM model are subjected to coordinate alignment.
4. the method as described in claim 1, which is characterized in that described to intend the point cloud model and construction BIM model
Conjunction obtains after model of fit, further includes:
The deviation position of point cloud model described in model of fit and construction BIM model is subjected to color rendering.
5. method as claimed in claim 4, which is characterized in that described by point cloud model described in model of fit and construction BIM
The deviation position of model carries out color rendering, comprising:
Using and the deviation at the deviation position corresponding to color deviation position is rendered.
6. the method as described in claim 1, which is characterized in that the discrepancy report includes at least one of the following: deviation position
Position, deviation position deviation, the deviation at deviation position classification.
7. the method as described in claim 1, which is characterized in that the method also includes:
The point cloud model for obtaining different construction times generates construction speed report according to the point cloud model of different construction times.
8. a kind of based on a construction management device for cloud scanning characterized by comprising
Obtain module, the point cloud data obtained for obtaining unmanned plane laser scanning construction site；
Modeling module, for establishing the point cloud model of construction site after pre-processing to the point cloud data；
Fitting module, for being fitted the point cloud model and construction BIM model to obtain model of fit；
Generation module, for generating deviation report according to the skew component of point cloud model in the model of fit and BIM model of constructing
It accuses.
9. a kind of terminal, which is characterized in that the processor, defeated including processor, input equipment, output equipment and memory
Enter equipment, output equipment and memory to be connected with each other, wherein the memory is for storing computer program, the computer
Program includes program instruction, and the processor is configured for calling described program instruction, is executed such as any one of claim 1-7
The method.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence, the computer program include program instruction, and described program instruction executes the processor such as
The described in any item methods of claim 1-7.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102142142A (en) * | 2010-01-29 | 2011-08-03 | 鸿富锦精密工业（深圳）有限公司 | Product contour process capability verification system and method |
| CN102598053A (en) * | 2009-06-24 | 2012-07-18 | 皇家飞利浦电子股份有限公司 | Spatial and shape characterization of an implanted device within an object |
| CN105091879A (en) * | 2015-08-07 | 2015-11-25 | 中国商用飞机有限责任公司 | Method and device for displaying deviations of the position of a stationary aircraft |
| CN105547151A (en) * | 2015-12-23 | 2016-05-04 | 上海建工集团股份有限公司 | Three-dimensional laser scanning spot cloud data acquisition and processing method and system thereof |
| CN107764200A (en) * | 2017-09-08 | 2018-03-06 | 中国建筑第八工程局有限公司 | The measuring method of Super High elevator hoistways |
-
2018
- 2018-09-19 CN CN201811099205.4A patent/CN109558622A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102598053A (en) * | 2009-06-24 | 2012-07-18 | 皇家飞利浦电子股份有限公司 | Spatial and shape characterization of an implanted device within an object |
| CN102142142A (en) * | 2010-01-29 | 2011-08-03 | 鸿富锦精密工业（深圳）有限公司 | Product contour process capability verification system and method |
| CN105091879A (en) * | 2015-08-07 | 2015-11-25 | 中国商用飞机有限责任公司 | Method and device for displaying deviations of the position of a stationary aircraft |
| CN105547151A (en) * | 2015-12-23 | 2016-05-04 | 上海建工集团股份有限公司 | Three-dimensional laser scanning spot cloud data acquisition and processing method and system thereof |
| CN107764200A (en) * | 2017-09-08 | 2018-03-06 | 中国建筑第八工程局有限公司 | The measuring method of Super High elevator hoistways |
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