CN115713664A - Intelligent marking method and device for fire-fighting acceptance check - Google Patents
Intelligent marking method and device for fire-fighting acceptance check Download PDFInfo
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Abstract
The embodiment of the invention provides an intelligent marking method and device for fire-fighting acceptance, wherein the method comprises the following steps: acquiring attribute information of a structural patch of a target building; preprocessing to establish a reference image library; acquiring image information of a target building through a shooting module, and determining measurement information and shooting parameters of image characteristics; self-contrast is carried out in the image information to select temporary image information, and a first screening image result is screened based on the temporary shooting parameters; and performing image feature matching with the temporary image information, comparing the first screening image result with the measurement information of the temporary image information during matching, outputting a second screening image result during matching, determining a target position based on the attribute information of the screening result, and inputting the marking information to the target position of the drawing of the target building structure. By adopting the method, the checking and accepting problem can be accurately positioned on the engineering drawing, and a data basis is provided for later-stage problem analysis, tracing and evaluation. The fire completion acceptance is more transparent, fair and efficient.
Description
Technical Field
The invention relates to the technical field of digital internet, in particular to an intelligent marking method and device for fire-fighting acceptance check.
Background
The fire acceptance of construction engineering refers to the field sampling and checking of the appearance of fire prevention (extinguishing) facilities of a building according to fire-fighting related laws and regulations, national engineering construction fire-fighting technical standards, fire-fighting construction completion drawings and fire-fighting design examination opinions on an engineering site, and the field sampling and measuring of measurable indexes such as distance, height, width, length, area, thickness and the like through professional instruments and equipment.
At present, the fire-fighting acceptance is mainly realized by adopting the traditional working mode of manual marking and field examination of paper drawings. As fire-fighting acceptance projects relate to various professional drawings such as buildings, water, electricity and heating ventilation, the problems that key nodes cannot be checked in real time in an acceptance site in a paper drawing field acceptance mode, the problem points are unclear, a problem list and correction feedback are repeatedly submitted, data are difficult to archive and transfer and the like exist, objective, accurate and rigorous records of relevant acceptance contents are lacked, retrospection is difficult afterwards, and the acceptance process is not fair and transparent enough.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides an intelligent marking method and device for fire-fighting acceptance.
The embodiment of the invention provides an intelligent marking method for fire-fighting acceptance, which comprises the following steps:
acquiring a three-dimensional solid model of a target building, extracting a structural patch of a unit space according to the three-dimensional solid model, and determining attribute information of the structural patch by combining model information of the three-dimensional solid model;
based on the attribute information, preprocessing the structural patch, and establishing a corresponding reference image library through the preprocessed structural patch, wherein the preprocessing comprises coding, registering, classifying and storing the structural patch;
acquiring image information of a unit space of the target building through a shooting module, and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information;
the image information is subjected to self-comparison based on the image feature similarity in the image information, temporary image information is selected according to the self-comparison result, temporary shooting parameters corresponding to the temporary image information are obtained, and screening is carried out from the reference image library based on the temporary shooting parameters to obtain a first screened image result;
obtaining measurement information of image characteristics corresponding to the temporary image information, performing image characteristic matching on the first screening image result and the temporary image information, comparing the first screening image result with the measurement information of the temporary image information when the image characteristics are matched, and outputting a second screening image result when the first screening image result is matched with the measurement information of the temporary image information;
and acquiring attribute information of the second screening image result and pre-input marking information, determining a corresponding target position based on the attribute information of the second screening image result, and inputting the marking information to the target position of the target building structure drawing.
In one embodiment, the attribute information includes:
azimuth information, structural information, and association number information.
In one embodiment, the method further comprises:
acquiring a preset coding rule, and performing serialized coding on the structural patch by combining the associated number information;
acquiring a structural drawing corresponding to the target building, superposing the structural drawing and a three-dimensional entity model in a position relationship, and registering the position information of the structural patch on the structural drawing by combining the azimuth information, the azimuth information and the structural information;
based on the spatial information of the unit space, creating a hierarchical directory of the structural patch, and determining the hierarchical directory corresponding to the structural patch;
and determining a corresponding database storage field based on the encoding rule, and storing the structural patch at a corresponding position of a reference image library according to the database storage field.
In one embodiment, the method further comprises:
acquiring feature matching factors in the first screening image result and the temporary image information, and matching the first screening image result with the feature matching factors of the temporary image information, wherein the feature matching factors comprise structural factors, fold factors, inflection point factors and element factors;
the comparing the measurement information of the first screening image result and the temporary image information includes:
and comparing the first screening image result with the measurement information of the characteristic matching factor of the temporary image information.
In one embodiment, the shooting parameters include:
shooting position, shooting angle and elevation information;
the screening from the reference image library based on the temporary shooting parameters to obtain a first screened image result includes:
and determining an azimuth interval and a position interval corresponding to the temporary image information based on the shooting position, the shooting angle and the elevation information corresponding to the temporary image information, and retrieving a corresponding first screening image result from the reference image library through the azimuth interval and the position interval.
In one embodiment, the method further comprises:
and when the image quantity of the second screening image result is more than 1, sending the second screening image result to a binding terminal corresponding to the shooting module, and determining the second screening image result according to feedback information of the binding terminal.
The embodiment of the invention provides an intelligent marking device for fire-fighting acceptance, which comprises:
the acquisition module is used for acquiring a three-dimensional solid model of a target building, extracting a structural patch of a unit space according to the three-dimensional solid model, and determining attribute information of the structural patch by combining model information of the three-dimensional solid model;
the preprocessing module is used for preprocessing the structural patch based on the attribute information, and establishing a corresponding reference image library through the preprocessed structural patch, wherein the preprocessing comprises coding, registering, classifying and storing the structural patch;
the shooting module is used for acquiring image information of a unit space of the target building through the shooting module and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information;
the first screening module is used for carrying out self-comparison on the image information based on the image feature similarity in the image information, selecting temporary image information according to the self-comparison result, acquiring temporary shooting parameters corresponding to the temporary image information, and screening from the reference image library based on the temporary shooting parameters to obtain a first screened image result;
the second screening module is used for acquiring the measurement information of the image characteristics corresponding to the temporary image information, performing image characteristic matching on the first screening image result and the temporary image information, comparing the first screening image result with the measurement information of the temporary image information when the image characteristics are matched, and outputting a second screening image result when the first screening image result is matched with the measurement information of the temporary image information;
and the marking module is used for acquiring the attribute information of the second screening image result and pre-input marking information, determining a corresponding target position based on the attribute information of the second screening image result, and inputting the marking information to the target position of the target building structure drawing.
In one embodiment, the apparatus further comprises:
the coding module is used for acquiring a preset coding rule and carrying out serialized coding on the structural patch by combining the associated number information;
the registration module is used for acquiring a structural drawing corresponding to the target building, superposing the structural drawing and a three-dimensional entity model in a position relationship, and registering the position information of the structural patch on the structural drawing by combining the azimuth information, the azimuth angle information and the structural information;
the classification module is used for creating a hierarchical directory of the structural patch based on the spatial information of the unit space and determining the hierarchical directory corresponding to the structural patch;
and the storage module is used for determining a corresponding database storage field based on the coding rule and storing the structural patch in a corresponding position of a reference image library according to the database storage field.
The embodiment of the invention provides electronic equipment, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the steps of the intelligent marking method for fire fighting acceptance.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the intelligent tagging method for fire acceptance.
The embodiment of the invention provides an intelligent marking method and device for fire-fighting acceptance, which comprises the steps of obtaining a three-dimensional solid model of a target building, extracting a structural patch of a unit space according to the three-dimensional solid model, and determining attribute information of the structural patch by combining model information of the three-dimensional solid model; based on the attribute information, preprocessing the structural patch, establishing a corresponding reference image library through the preprocessed structural patch, wherein the preprocessing comprises coding, registering, classifying and storing the structural patch; acquiring image information of a unit space of a target building through a shooting module, and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information; the image information is subjected to self-comparison based on image feature similarity in the image information, temporary image information is selected according to a self-comparison result, temporary shooting parameters corresponding to the temporary image information are obtained, and screening is carried out from a reference image library based on the temporary shooting parameters to obtain a first screened image result; obtaining the measurement information of the image characteristics corresponding to the temporary image information, carrying out image characteristic matching on the first screening image result and the temporary image information, comparing the first screening image result with the measurement information of the temporary image information when the image characteristics are matched, and outputting a second screening image result when the first screening image result is matched with the measurement information of the temporary image information; and acquiring attribute information of the second screening image result and pre-input marking information, determining a corresponding target position based on the attribute information of the second screening image result, and inputting the marking information to the target position of the target building structure drawing. Therefore, the accurate positioning of the acceptance problems on the engineering drawing can be realized, and a data basis is provided for later-stage problem analysis, tracing and evaluation. The fire completion acceptance is more transparent, fair and efficient.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of an intelligent labeling method for fire acceptance in an embodiment of the present invention;
FIG. 2 is a flowchart of an intelligent marking method for fire acceptance in another embodiment of the present invention;
FIG. 3 is a structural diagram of an intelligent labeling device for fire acceptance in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of an intelligent marking method for fire-fighting acceptance according to an embodiment of the present invention, and as shown in fig. 1, an embodiment of the present invention provides an intelligent marking method for fire-fighting acceptance, including:
step S101, a three-dimensional solid model of a target building is obtained, a structural patch of a unit space is extracted according to the three-dimensional solid model, and attribute information of the structural patch is determined by combining model information of the three-dimensional solid model.
Specifically, a three-dimensional solid model corresponding to a target building to be labeled is obtained, and then a structural patch of a unit space in the three-dimensional solid model is extracted, wherein when the target building is a residential house, the unit space may be each house or each room of each house, and then attribute information of the structural patch is determined by combining model information of the three-dimensional solid model, wherein the model information may include various data information of the target building, such as information of the size, the length, the width, the direction, the orientation and the like of the room, information of the position of each house, such as room position, position of each house, building materials, building structure and the like, the structural patch is a structural patch of each direction of each unit space, such as a structural patch of one room, and the structural patch of each direction may be 6 directions (up, down, left, right, left and right), or 8 directions (righteast, south, west, north, northeast, southeast, southwest, and west), and then corresponding attribute information is determined according to the model information of the three-dimensional solid model corresponding to the structural building.
In addition, the attribute information of the structure patch may include orientation information, azimuth information, structure information, and association number information, where the orientation information and azimuth refer to the direction and position information of the structure patch in the three-dimensional architectural solid model, including geographic orientation (in the example, eight directions may be used, such as true east, true south, true west, true north, east south, west north), azimuth (in the example, expressed by radian as a unit), the structure information refers to the structure attribute information of the structure patch, such as length, width, height, and shape, and the association information refers to other information associated with the structure patch, including model number, floor number, room number, and so on.
And S102, preprocessing the structure surface patch based on the attribute information, and establishing a corresponding reference image library through the preprocessed structure surface patch, wherein the preprocessing comprises coding, registering, classifying and storing the structure surface patch.
Specifically, based on the attribute information of the structural patches, the structural patches are preprocessed, and a corresponding reference image library is established through the preprocessed structural patches, wherein the preprocessing step may include encoding, registering, classifying and storing of the structural patches, the encoding is to perform corresponding encoding of each structural patch according to associated information such as position information of the structural patches, the registering is to perform position registration on the structural patches, the three-dimensional building entity model and structural paper of a target building, so as to determine position information of the structural patches on a structural drawing of the target building, the classifying is to classify the structural patches of the target building, for example, a multilevel directory is set, which is sequentially a building, a unit, a floor, a house number, a room number and the like, and the storing is a storage manner of storing data patches in the reference image library, for example, what field, what character string and the like.
In addition, the pretreatment step may specifically include:
acquiring a preset coding rule, and performing serialized coding on the structural slice by combining the associated number information, wherein the method comprises the following steps of: the purpose of coding is to serialize the structural patch, so that subsequent query and retrieval are facilitated. The standardized reference image library encoding rules may be such as: the coding length is 13 bits, and the coding length is composed of model coding, floor coding, room coding and view coding. Wherein 5 bits of model codes consist of model types and numbers, the 3-bit rules of floor codes are that the codes from the bottom floor to the top floor are respectively F-a,. Cndot.F 01, F02, \8230;, fn, a represents the number of underground floors (0 < -a < -10), and n represents the number of above-ground floors (0 < = n < 100); the room codes are 3 bits, and the rule is that R1, \8230;, rn, n represent the number of rooms respectively for each room from left to right and from top to bottom respectively; the view codes are 1 bit, and the top, bottom, left, right, front and back view modes are coded as T, B, L, R, F, B, respectively (e.g., a picture coded as B0220F014R18F represents a picture with a fenestration of a front view in the 18 th room of the 14 th floor).
Acquiring a structural drawing corresponding to a target building, superposing the structural drawing and a three-dimensional entity model in a position relationship, and registering the position information of a structural patch on the structural drawing by combining azimuth information, azimuth information and structural information, wherein the method comprises the following steps: and the registration purpose is to perform position matching on the structural patch and establish the spatial position relation between the structural patch and the architectural structural drawing. And (3) carrying out position superposition on the three-dimensional building entity model and the building structure drawing by registration, matching the structural patch and the building structure drawing to obtain a corresponding relation based on the azimuth information and the associated information, and determining the position information of the structural patch on the building structure drawing.
Based on the spatial information of the unit space, a hierarchical directory of the structural patch is created, and the hierarchical directory corresponding to the structural patch is determined, which comprises the following steps: the classification aims to establish a storage catalog of unstructured information and improve later retrieval efficiency. The classification method may be, for example: first, a file-level directory is created which stores the number of buildings, with several folders representing several buildings, then a second-level directory is created which stores the floors of the buildings, then a third-level directory is created which stores the rooms on the floors, and finally, a fourth-level directory is created which stores the multi-level directory folders such as 6 structural tiles of the rooms in the rooms.
Based on coding rules, determining a corresponding database storage field, and storing a structural patch at a corresponding position of a reference image library according to the database storage field, wherein the method comprises the following steps: the storage purpose is to establish a spatial database of the structural patch and realize the storage of information such as attributes, codes, positions and the like. The fields of the database may include: <xnotran> , , , , , , , , , , , , , , , , , , , . </xnotran>
Step S103, acquiring image information of the unit space of the target building through a shooting module, and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information.
Specifically, image information of a unit space of a target building is acquired through a shooting module, for example, an AR shooting device is used to acquire an image of the unit space, for example, an angle of moving the shooting device in the unit space (in a certain room) in the parallel direction every time is 5 °, a pitch angle of moving the shooting device in the angle of 5 ° every time is 5 °, a series of image information of the unit space is acquired, then image features identified in the image information, such as doors, windows, vents and the like, can also be information such as folds, contours and the like, then size information corresponding to the image features is determined, that is, measurement information of the image features is determined, and shooting parameters corresponding to the image information are shot, wherein the shooting parameters are a series of parameters when the shooting module shoots the corresponding image, such as shooting position, shooting angle, elevation information and the like of a shooting device.
And step S104, based on the image feature similarity in the image information, performing self-contrast on the image information, selecting temporary image information according to the self-contrast result, acquiring temporary shooting parameters corresponding to the temporary image information, and based on the temporary shooting parameters, screening from the reference image library to obtain a first screened image result.
Specifically, the image information is self-compared based on image feature similarity in the image information, wherein image features in a series of image information in a unit space, such as a door, a window and a vent, and also information such as a crease line and a contour, are self-compared, then temporary image information is selected according to a self-comparison result, for example, 5 to 10 images with the largest difference in image features are selected as temporary image information, the image features of the unit space are summarized to the maximum extent, then temporary shooting parameters corresponding to the temporary image information are obtained, and according to the temporary shooting parameters, such as shooting position, shooting angle, elevation information and other information, a structural patch corresponding to the temporary shooting parameters is screened from a reference image library to be used as a first screening result in the reference image library.
In addition, during screening, the azimuth section and the position section corresponding to the temporary image information, namely the angle section of the shooting and the position section where the shooting is located corresponding to the temporary image information, can be determined based on the shooting position, the shooting angle and the elevation information corresponding to the temporary image information, and then the corresponding first screening image result which is consistent with the azimuth section and the position section can be searched from the reference image library according to the azimuth section and the position section.
Step S105, obtaining the measurement information of the image characteristics corresponding to the temporary image information, matching the image characteristics of the first screening image result and the temporary image information, comparing the first screening image result with the measurement information of the temporary image information when the image characteristics are matched, and outputting a second screening image result when the first screening image result is matched with the measurement information of the temporary image information.
Specifically, the measurement information of the image features corresponding to the temporary image information, that is, the size information of the features such as doors, windows, ventilation openings and the like in the temporary image information, and the lines, size information of the features such as creases, outlines and the like, are further determined, then the structural patch in the first screening image result is subjected to image feature matching with the temporary image information, when the image features are matched, it is indicated that the image features of the first screening image result and the temporary image information are matched, whether the measurement information of the image features are matched is further determined, when the measurement information is also matched, it is indicated that the temporary image information is matched with the corresponding structural patch, and the image is displayed in the same direction of the same unit space, a second screening image result is output, so that the corresponding structural patches can be screened from a huge number of reference image libraries through two screening, and the data processing amount can be reduced as much as possible through two screening.
In addition, when image feature matching is performed, feature matching factors in the first screening image result and the temporary image information can be obtained, the first screening image result and the feature matching factors of the temporary image information are matched, the feature matching factors comprise structure factors, crease factors, inflection point factors and element factors, namely image structures, creases and inflection points in the image features, some important elements in the image and the like, and then after matching, measurement information of the feature matching factors of the first screening image result and the temporary image information is compared.
Step S106, acquiring attribute information of the second screening image result and pre-input marking information, determining a corresponding target position based on the attribute information of the second screening image result, and inputting the marking information to the target position of the target building structure drawing.
Specifically, attribute information in a structural patch of the second screening image result is obtained, position information corresponding to the structural patch, namely the structural patch is at the target position of the target building structural drawing, is determined according to the attribute information, and then relevant comment information for the structural patch, which is pre-input to the structural patch, is obtained, the comment information can be recorded in the modes of characters, pictures, voice, video and the like, and the marking information is displayed on the structural drawing of the target building according to the target position.
In addition, the situation that the number of images of the second screening image result is greater than 1 may also occur, and when the number of images of the second screening image result is greater than 1, the second screening image result is sent to the binding terminal corresponding to the shooting module, so that the corresponding worker can select the optimal position information (structural patch), and then the second screening image result is determined according to the feedback information of the binding terminal.
The embodiment of the invention provides an intelligent marking method for fire-fighting acceptance, which comprises the steps of obtaining a three-dimensional solid model of a target building, extracting a structural patch of a unit space according to the three-dimensional solid model, and determining attribute information of the structural patch by combining model information of the three-dimensional solid model; based on the attribute information, preprocessing the structural patch, establishing a corresponding reference image library through the preprocessed structural patch, wherein the preprocessing comprises coding, registering, classifying and storing the structural patch; acquiring image information of a unit space of a target building through a shooting module, and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information; the image information is subjected to self-comparison based on image feature similarity in the image information, temporary image information is selected according to a self-comparison result, temporary shooting parameters corresponding to the temporary image information are obtained, and screening is carried out from a reference image library based on the temporary shooting parameters to obtain a first screened image result; obtaining measurement information of image characteristics corresponding to the temporary image information, performing image characteristic matching on the first screening image result and the temporary image information, comparing the first screening image result with the measurement information of the temporary image information when the image characteristics are matched, and outputting a second screening image result when the first screening image result is matched with the measurement information of the temporary image information; and acquiring attribute information of the second screening image result and pre-input marking information, determining a corresponding target position based on the attribute information of the second screening image result, and inputting the marking information to the target position of the target building structure drawing. Therefore, the accurate positioning of the acceptance problems on the engineering drawing can be realized, and a data basis is provided for later-stage problem analysis, tracing and evaluation. The fire completion acceptance is more transparent, fair and efficient.
In another embodiment, the steps of the intelligent labeling method for fire-fighting acceptance inspection can be as shown in fig. 2, a represents a schematic structural diagram of a room in a floor, 6 structural patch pictures of the room in a three-dimensional model floor, the upper, the lower, the left, the right, the front and the back are respectively obtained, B represents a created reference image database, the information such as the pictures and position information is stored in the reference image database, d represents a database collected on site, the screening in steps B to c must be performed by using building codes, floor codes and measurement information fields in the database d, screening out pictures meeting the requirements, for example, selecting one picture in a database d, wherein the building code is B0220, the floor code is F014, the measurement information is the length of a window is 1.5m and the width is 2m, then screening out the pictures meeting the requirements in the database B according to the model code, the floor code and the structure information, then outputting the best matching result according to the picture selected from the d and the pictures screened out from the B according to an image matching algorithm, transmitting the position information in the B to the database d according to the output result, and finally adding the position information and the labeling information in the d to the cad drawing.
Fig. 3 is an intelligent labeling device for fire acceptance according to an embodiment of the present invention, including: the system comprises a first acquisition module S201, a preprocessing module S202, a shooting module S203, a first screening module S204, a second screening module S205 and a labeling module S206, wherein:
the obtaining module S201 is configured to obtain a three-dimensional solid model of a target building, extract a structural patch of a unit space according to the three-dimensional solid model, and determine attribute information of the structural patch in combination with model information of the three-dimensional solid model.
And the preprocessing module S202 is used for preprocessing the structural patch based on the attribute information, and establishing a corresponding reference image library through the preprocessed structural patch, wherein the preprocessing comprises coding, registering, classifying and storing the structural patch.
The shooting module S203 is used for acquiring image information of the unit space of the target building through the shooting module and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information.
The first screening module S204 is configured to perform self-comparison on the image information based on the image feature similarity in the image information, select temporary image information according to the self-comparison result, obtain a temporary shooting parameter corresponding to the temporary image information, and screen from the reference image library based on the temporary shooting parameter to obtain a first screened image result.
The second filtering module S205 is configured to obtain measurement information of an image feature corresponding to the temporary image information, perform image feature matching on the first filtered image result and the temporary image information, compare the first filtered image result with the measurement information of the temporary image information when the image features are matched, and output a second filtered image result when the first filtered image result is matched with the measurement information of the temporary image information.
And the labeling module S206 is configured to obtain attribute information of the second screening image result and pre-input labeling information, determine a corresponding target position based on the attribute information of the second screening image result, and input the labeling information to the target position of the target building structure drawing.
In one embodiment, the apparatus further comprises:
and the coding module is used for acquiring a preset coding rule and carrying out serialized coding on the structural patch by combining the associated number information.
And the registration module is used for acquiring a structural drawing corresponding to the target building, superposing the structural drawing and the three-dimensional entity model in a position relationship, and registering the position information of the structural patch on the structural drawing by combining the azimuth information, the azimuth angle information and the structural information.
And the classification module is used for creating the hierarchical directory of the structural patch based on the spatial information of the unit space and determining the hierarchical directory corresponding to the structural patch.
And the storage module is used for determining a corresponding database storage field based on the coding rule and storing the structural patch in a corresponding position of a reference image library according to the database storage field.
The specific definition of the intelligent marking device for fire-fighting acceptance can be referred to the definition of the intelligent marking method for fire-fighting acceptance, and is not described herein again. All or part of each module in the intelligent marking device for fire-fighting acceptance inspection can be realized through software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor) 301, a memory (memory) 302, a communication Interface (Communications Interface) 303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication Interface 303 are configured to communicate with each other via the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: acquiring a three-dimensional solid model of a target building, extracting a structural patch of a unit space according to the three-dimensional solid model, and determining attribute information of the structural patch by combining model information of the three-dimensional solid model; based on the attribute information, preprocessing the structural patch, establishing a corresponding reference image library through the preprocessed structural patch, wherein the preprocessing comprises coding, registering, classifying and storing the structural patch; acquiring image information of a unit space of a target building through a shooting module, and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information; the method comprises the steps of carrying out self-contrast on image information based on image feature similarity in the image information, selecting temporary image information according to a self-contrast result, obtaining temporary shooting parameters corresponding to the temporary image information, and screening from a reference image library based on the temporary shooting parameters to obtain a first screened image result; obtaining measurement information of image characteristics corresponding to the temporary image information, performing image characteristic matching on the first screening image result and the temporary image information, comparing the first screening image result with the measurement information of the temporary image information when the image characteristics are matched, and outputting a second screening image result when the first screening image result is matched with the measurement information of the temporary image information; and acquiring attribute information of the second screening image result and pre-input marking information, determining a corresponding target position based on the attribute information of the second screening image result, and inputting the marking information to the target position of the target building structure drawing.
Furthermore, the logic instructions in the memory 302 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, for example, the method includes: acquiring a three-dimensional solid model of a target building, extracting a structural patch of a unit space according to the three-dimensional solid model, and determining attribute information of the structural patch by combining model information of the three-dimensional solid model; based on the attribute information, preprocessing the structural patch, establishing a corresponding reference image library through the preprocessed structural patch, wherein the preprocessing comprises coding, registering, classifying and storing the structural patch; acquiring image information of a unit space of a target building through a shooting module, and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information; the image information is subjected to self-comparison based on image feature similarity in the image information, temporary image information is selected according to a self-comparison result, temporary shooting parameters corresponding to the temporary image information are obtained, and screening is carried out from a reference image library based on the temporary shooting parameters to obtain a first screened image result; obtaining measurement information of image characteristics corresponding to the temporary image information, performing image characteristic matching on the first screening image result and the temporary image information, comparing the first screening image result with the measurement information of the temporary image information when the image characteristics are matched, and outputting a second screening image result when the first screening image result is matched with the measurement information of the temporary image information; and acquiring attribute information of the second screening image result and pre-input marking information, determining a corresponding target position based on the attribute information of the second screening image result, and inputting the marking information to the target position of the target building structure drawing.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An intelligent marking method for fire-fighting acceptance, which is characterized by comprising the following steps:
acquiring a three-dimensional solid model of a target building, extracting a structural patch of a unit space according to the three-dimensional solid model, and determining attribute information of the structural patch by combining model information of the three-dimensional solid model;
based on the attribute information, preprocessing the structural patch, and establishing a corresponding reference image library through the preprocessed structural patch, wherein the preprocessing comprises coding, registering, classifying and storing the structural patch;
acquiring image information of a unit space of the target building through a shooting module, and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information;
the image information is subjected to self-comparison based on the image feature similarity in the image information, temporary image information is selected according to the self-comparison result, temporary shooting parameters corresponding to the temporary image information are obtained, and screening is carried out from the reference image library based on the temporary shooting parameters to obtain a first screened image result;
obtaining measurement information of image characteristics corresponding to the temporary image information, performing image characteristic matching on the first screening image result and the temporary image information, comparing the first screening image result with the measurement information of the temporary image information when the image characteristics are matched, and outputting a second screening image result when the first screening image result is matched with the measurement information of the temporary image information;
and acquiring attribute information of the second screening image result and pre-input marking information, determining a corresponding target position based on the attribute information of the second screening image result, and inputting the marking information to the target position of the target building structure drawing.
2. The intelligent annotation method of fire acceptance according to claim 1, wherein the attribute information comprises:
azimuth information, structural information, and association number information.
3. The intelligent annotation method of fire acceptance according to claim 2, wherein the preprocessing the structural patch based on the attribute information comprises:
acquiring a preset coding rule, and carrying out serialized coding on the structural patch by combining the associated number information;
acquiring a structural drawing corresponding to the target building, superposing the structural drawing and a three-dimensional entity model in a position relationship, and registering the position information of the structural patch on the structural drawing by combining the azimuth information, the azimuth information and the structural information;
based on the spatial information of the unit space, creating a hierarchical directory of the structural patch, and determining the hierarchical directory corresponding to the structural patch;
and determining a corresponding database storage field based on the encoding rule, and storing the structural patch at a corresponding position of a reference image library according to the database storage field.
4. The intelligent annotation method of fire acceptance according to claim 1, wherein the image feature matching of the first screening image result and the temporary image information comprises:
acquiring feature matching factors in the first screening image result and the temporary image information, and matching the first screening image result with the feature matching factors of the temporary image information, wherein the feature matching factors comprise structural factors, fold factors, inflection point factors and element factors;
the comparing the measurement information of the first filtering image result and the temporary image information includes:
and comparing the first screening image result with the measurement information of the characteristic matching factor of the temporary image information.
5. The intelligent marking method for fire acceptance according to claim 1, wherein the shooting parameters comprise:
shooting position, shooting angle and elevation information;
the screening from the reference image library based on the temporary shooting parameters to obtain a first screened image result includes:
and determining an azimuth interval and a position interval corresponding to the temporary image information based on the shooting position, the shooting angle and the elevation information corresponding to the temporary image information, and retrieving a corresponding first screening image result from the reference image library through the azimuth interval and the position interval.
6. The intelligent marking method for fire acceptance according to claim 1, wherein the method further comprises:
and when the image quantity of the second screening image result is greater than 1, sending the second screening image result to a binding terminal corresponding to the shooting module, and determining the second screening image result according to feedback information of the binding terminal.
7. The utility model provides an intelligent mark device of fire control acceptance, its characterized in that, the device includes:
the acquisition module is used for acquiring a three-dimensional solid model of a target building, extracting a structural patch of a unit space according to the three-dimensional solid model, and determining attribute information of the structural patch by combining model information of the three-dimensional solid model;
the preprocessing module is used for preprocessing the structure surface patch based on the attribute information, and establishing a corresponding reference image library through the preprocessed structure surface patch, wherein the preprocessing comprises coding, registering, classifying and storing the structure surface patch;
the shooting module is used for acquiring image information of a unit space of the target building through the shooting module and determining measurement information of image characteristics corresponding to the image information and shooting parameters of the shooting module based on the image information;
the first screening module is used for carrying out self-comparison on the image information based on the image feature similarity in the image information, selecting temporary image information according to the self-comparison result, acquiring temporary shooting parameters corresponding to the temporary image information, and screening from the reference image library based on the temporary shooting parameters to obtain a first screened image result;
the second screening module is used for acquiring the measurement information of the image characteristics corresponding to the temporary image information, performing image characteristic matching on the first screening image result and the temporary image information, comparing the first screening image result with the measurement information of the temporary image information when the image characteristics are matched, and outputting a second screening image result when the first screening image result is matched with the measurement information of the temporary image information;
and the marking module is used for acquiring the attribute information of the second screening image result and pre-input marking information, determining a corresponding target position based on the attribute information of the second screening image result, and inputting the marking information to the target position of the target building structure drawing.
8. The intelligent marking method for fire acceptance according to claim 7, wherein the device further comprises:
the coding module is used for acquiring a preset coding rule and performing serialized coding on the structural patch by combining the associated number information;
the registration module is used for acquiring a structural drawing corresponding to the target building, superposing the structural drawing and a three-dimensional entity model in a position relationship, and registering the position information of the structural patch on the structural drawing by combining the azimuth information, the azimuth information and the structural information;
the classification module is used for creating a hierarchical directory of the structural patch based on the spatial information of the unit space and determining the hierarchical directory corresponding to the structural patch;
and the storage module is used for determining a corresponding database storage field based on the coding rule and storing the structural patch in a corresponding position of a reference image library according to the database storage field.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the intelligent marking method for fire acceptance of any one of claims 1 to 6.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the intelligent tagging method for fire acceptance according to any one of claims 1 to 6.
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