CN111090903A - BIM-based component statistical method and related device - Google Patents
BIM-based component statistical method and related device Download PDFInfo
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Abstract
The embodiment of the application discloses a component statistical method and a related device based on a Building Information Model (BIM), wherein the method comprises the following steps: acquiring a statistical instruction input by a user; determining the first component group according to the statistical instruction, wherein the components in the first component group are the components in the range indicated by the statistical instruction in the BIM; and counting the components in the first component group to obtain a statistical result. Therefore, the components contained in the space can be automatically counted, and a user can manage the space more conveniently and quickly.
Description
Technical Field
The application relates to the technical field of building design, in particular to a component statistical method based on a Building Information Model (BIM) and a related device.
Background
The Building Information Modeling (BIM) technology is a datamation tool applied to engineering design, construction and management, and is used for sharing and transmitting all life cycle processes of project planning, operation and maintenance by integrating datamation and informatization models of buildings, so that engineering technicians can correctly understand and efficiently deal with various Building Information, a foundation for cooperative work is provided for design teams and all parts of construction main bodies including buildings and operation units, and important functions are played in the aspects of improving production efficiency, saving cost and shortening construction period.
Disclosure of Invention
The embodiment of the application provides a BIM-based component statistical method and a related device, so that automatic statistics can be performed on components contained in the BIM.
In a first aspect, an embodiment of the present application provides a component statistical method based on BIM, including:
acquiring a statistical instruction input by a user;
determining the first component group according to the statistical instruction, wherein the components in the first component group are the components in the range indicated by the statistical instruction in the BIM;
and counting the number of the components in the first component group to obtain a statistical result.
In a second aspect, an embodiment of the present application provides a BIM-based component statistics apparatus, the apparatus includes: the acquisition unit is used for acquiring a statistical instruction input by a user; a determining unit, configured to determine the first component group according to the statistical instruction, where components in the first component group are components within a range indicated by the statistical instruction in the BIM; and the statistical unit is used for carrying out statistics on the components in the first component group to obtain a statistical result.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing steps in any method of the first aspect of the embodiment of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods of the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps as described in any one of the methods of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the present application, a statistical instruction input by a user is first obtained, then the first component group is determined according to the statistical instruction, components in the first component group are components in a range indicated by the statistical instruction in the BIM, and finally, quantity statistics is performed on the components in the first component group to obtain a statistical result. Therefore, the components contained in the space can be automatically counted, and a user can manage the space more conveniently and quickly.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a BIM-based component statistics platform provided in an embodiment of the present application;
FIG. 2 is a flow chart of a BIM-based component statistical method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 4 is a block diagram illustrating functional units of a BIM-based component statistical apparatus according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, 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 embodiments of the present invention, but not all embodiments. 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.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
At present, the BIM-based space management not only needs to manage the space area, the usage and the like, but also needs to manage the components in the space, and the existing management mode is usually to manually input the information of the corresponding components needing attention in a certain space, so that the time and the labor are consumed, and the accuracy of the statistics of the components cannot be guaranteed.
In view of the foregoing problems, embodiments of the present application provide a component statistical method and a related apparatus based on BIM, and the embodiments of the present application are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, fig. 1 is a schematic diagram of a BIM-based component statistical platform provided in an embodiment of the present application, and the BIM-based component statistical platform 100 includes a component statistical apparatus, and after receiving a statistical instruction, the component statistical apparatus determines a range of BIMs that need to be counted according to related information, such as spatial information and/or device identification information, included in the statistical instruction, and performs statistics on components within the range, and outputs a statistical result.
Referring to fig. 2, fig. 2 is a schematic flow chart of a BIM-based component statistical method according to an embodiment of the present disclosure, and as shown in the figure, the BIM-based component statistical method includes the following steps.
S201, obtaining a statistical instruction input by a user.
The statistical instruction may be input when a user needs to manage the BIM space, so that the statistical instruction further includes a selection of a space range that needs to be managed, for example, the statistical instruction includes space information, device identification information, component type information, component material information, and the like, and one or more of the information can determine a managed space range and/or a target that needs to be counted. For example, when the information of the member made of wood is to be counted, all the three-dimensional space where the BIM is located may be used as a statistical space by default, and all the members made of wood in the statistical space may be counted.
S202, determining the first component group according to the statistical instruction, wherein the components in the first component group are the components in the range indicated by the statistical instruction in the BIM.
The building element refers to a unit or element constituting a building, that is, a pipe, a valve, a pipe fitting, a sanitary fixture, an electrical device, etc. commonly used in each industry established in the drawing process, and if the building in the BIM is regarded as one product, the building element is a part constituting the product, and the building element, the structural element, the water supply and drainage element, the electrical element, the heating and ventilation element, the municipal element, the landscape element, the decoration element, etc. can be divided according to the use of the building element. The number of the components and the type of the components included in the first component group may be multiple or only one, and the first component group may be empty, that is, the first component group does not include any components, which is not limited in this respect. The range indicated by the statistical instruction may be a spatial range, a time range, or a material range, and is not limited to this, for example, if the range indicated by the statistical instruction is a time range, a set of components added in a certain time period may be used as the first component group. For example, if the range indicated by the statistical instruction is a spatial range, the components in the first component group are the components in the spatial range.
S203, counting the components in the first component group to obtain a statistical result.
After the first component group is obtained, the number of components included in the component group is counted, and the counting manner may be to count the number of all types of components uniformly, to count the number of each type of component according to the type of the component, or to count the number of only a certain type of component. After statistics is completed, the statistical result may be output in the form of generating a corresponding component statistical table, and of course, the component statistical table may further include geometric information of the corresponding component, such as size, shape, and spatial position of the component, and may further include corresponding non-geometric information, such as result type, material property, and load property of the component.
It can be seen that, in the embodiment of the present application, a statistical instruction input by a user is first obtained, then the first component group is determined according to the statistical instruction, components in the first component group are components in a range indicated by the statistical instruction in the BIM, and finally, quantity statistics is performed on the components in the first component group to obtain a statistical result. Therefore, the number of the components contained in the space can be automatically counted, and a user can manage the space more conveniently and quickly.
In one possible example, the statistical instruction includes spatial information, and determining the first component group according to the statistical instruction includes: establishing a three-dimensional space coordinate system, and determining the coordinates of all components in the BIM in the three-dimensional space coordinate system; determining a statistical space according to the spatial information, wherein the statistical space is a three-dimensional space determined according to two-dimensional coordinates contained in the spatial information and the height of the BIM; and acquiring a first component group according to the coordinates of all components in the BIM in the three-dimensional coordinate system and the statistical space, wherein the components in the first component group are the components of which the coordinates in the BIM are positioned in the statistical space.
The statistical instruction comprises spatial information, a range to be counted can be determined according to the spatial information, the spatial information comprises a plurality of two-dimensional coordinates, a user can determine a statistical space by directly inputting the two-dimensional coordinates, or a range is selected in a BIM (building information modeling), and the two-dimensional coordinates which are automatically extracted by equipment and can be used for determining the range are taken as the spatial information to determine the statistical space. It should be noted that the plane where the xy rectangular coordinate of the two-dimensional coordinate system corresponding to the two-dimensional coordinate included in the spatial information is located is parallel to the plane where the xz rectangular coordinate of the xyz rectangular coordinate system of the three-dimensional spatial coordinate system is located. The height of the BIM is an absolute height, which may be a height difference between a highest point of the BIM model and a horizontal plane.
In a specific implementation, when determining the statistical space according to the two-dimensional coordinates and the height of the BIM included in the spatial information, the statistical space may be determined according to a pre-calculated linear matrix capable of mapping the two-dimensional coordinates to the three-dimensional spatial coordinate system, and a calculation method of the linear matrix may be as follows: the xy plane A of the two-dimensional coordinates1Has three coordinates of a (x)a,ya),b(xb,yb),c(xc,yc) The three two-dimensional coordinates are respectively on the plane A corresponding to the xy axis in the xyz coordinate system2Corresponding coordinate of (a) is i (x)i,yi),j(xj,yj),k(xk,yk) The b point and the j point are set as the origin, and T is set as the transformation matrix, therefore,
due to TA1＝A2,The value of the transformation matrix T can be obtained from this formula, from which the value of the transformation matrix T is obtained at A1And calculating the corresponding coordinates of any point f in the three-dimensional space coordinate system according to T. For example: if the selected reference point is a (3,4) b (-1,4), c (3,6), i (1,1), j (1,3), k (2,1), wherein the value of the transformation matrix T can be calculated in advance by using the point a and the point i as the origin
Therefore, if one of the two-dimensional coordinates included in the obtained spatial information is P (1,4) and the height of the specified BIM model is 10, it is possible to obtain the coordinate of the point P in the three-dimensional spatial coordinate system as P' (1,2, 10). Therefore, all the two-dimensional coordinates contained in the spatial information can be mapped into a three-dimensional spatial coordinate system according to the transformation matrix, a spatial region formed by the coordinates in the three-dimensional space can be regarded as a statistical space, a set of corresponding components of the coordinates in the BIM in the statistical space is regarded as a first component group, and the components in the first component group are counted.
In the concrete implementation, when determining the statistical space according to the two-dimensional coordinates and the height of the BIM included in the spatial information, the BIM model may be projected on a plane where the xy rectangular coordinates of the two-dimensional coordinate system are located, a range to be counted is determined according to the two-dimensional coordinates included in the spatial information, the BIM model corresponding to the projection falling into the range is determined as the statistical space, and all components on the BIM model are regarded as the first component group for counting.
Therefore, in this example, the three-dimensional coordinates of the component are determined, the two-dimensional coordinates included in the spatial information are mapped into the three-dimensional spatial coordinate system, a statistical space is determined according to the coordinates, and the component with the three-dimensional coordinates in the statistical space is processed, so that a user can conveniently select the space to be managed, and the efficiency and the accuracy of spatial management based on the BIM can be improved.
In one possible example, the statistical instruction includes a target device identifier, and the components in the first component group are components of all components in the BIM, of which the device identifiers are the target device identifiers.
The equipment of the embodiment includes fixed equipment, auxiliary equipment and the like, the fixed equipment further includes building equipment such as factories, offices and the like, the auxiliary equipment includes fire fighting equipment, heating equipment, ventilation and air conditioning equipment and the like, and the equipment can be composed of a plurality of components or only one component. The target device ID is the unique Identifier (ID) of the device, and a certain model in the BIM can be uniquely locked according to the target device ID. And when the statistical instruction is the equipment identification, all components contained in the equipment corresponding to the equipment identification form a first component group. For example, if it is determined that the device to be counted is a large scaffold device according to the target device identifier, the members constituting the large scaffold device, including 7 members such as a cross bar, a vertical bar, a diagonal bar, a top support, a flat support, a safety ladder, and a hook pedal, are all members in the first member group.
Therefore, in the example, the range needing to be counted is determined according to the target equipment identification, and then all the components in the range are counted, so that a user can conveniently manage a certain equipment in the BIM, the spatial management based on the BIM can be more intelligent, and the management efficiency of the user can be improved.
In one possible example, the statistical result includes the number of components belonging to the same component type, and the counting the number of the components in the first component group to obtain the statistical result includes: obtaining M component types, wherein the M component types are types of components contained in the first component group; counting the number of the components with the type of component type T in the first component group, wherein the component type T is any one of the M component types.
Since the first component group may include multiple types of components, if different types of components are to be counted separately, the different types of components may be divided and the number of each type of component may be calculated when the number of all the components in the first component group is counted at the beginning, but when the statistical result is finally output, only the number of the components of the type that the user needs to count in the first component group may be output according to the selection of the user. Or when the number of the components in the first component group is counted at first, the component types are divided first, and when the specific types of the components which need to be counted by the user are received, only the components of the types are counted, and a corresponding counting result is output.
It can be seen that, in this example, when the components are counted, one type of the multiple types of components in the first component group may be counted, so that while the requirements of the user are fully met, the counting time may be saved, and the space management efficiency of the user is improved.
In one possible example, the statistical result includes the number of components belonging to the same component type, the statistical instruction further includes a component type P, and performing a number statistics on the components in the first component group to obtain a statistical result includes: counting the number of the components with the type of component type P in the first component group.
When the statistical instruction of the user includes a component of a certain type that needs to be counted, the component of the type included in the range indicated by the statistical instruction may be used as a first component group, and then the component in the first component group is counted. In a specific implementation, the range indicated by the statistical instruction may also be all the spaces where the BIM model is located, and the user may select all the components of a certain type in the space and perform statistics on the components.
It can be seen that in this example, when the components are counted, the number of the components of a certain type may be counted, so that the user requirements can be sufficiently met, the counting time can be saved, and the space management efficiency of the user is improved.
In one possible example, the statistical result includes a number of devices, and the performing statistics on the components in the first component group to obtain the statistical result includes: grouping the components in the first component group to obtain N second component groups, wherein the components in the second component groups all belong to the same equipment; determining S third component groups from the N second component groups, wherein all the components in the third component groups are all components capable of forming one device; wherein S is the number of the devices.
When the number of different devices is counted, it can also be understood that how many different types of devices are counted in a certain range, the obtained components in the first component group may be grouped first, a plurality of second component groups may be obtained, and then it is determined whether all the components in each second component group can form one device; if the equipment can be formed, determining the second component group as a third component group; if not, discarding the second component group; and finally, acquiring the number of the third component groups, wherein the number of the third component groups is the number of the equipment. Specifically, a proportional relationship of the number of components constituting each device may be determined, and if it is determined that each component group of the S third component groups includes K sets of components that can constitute a complete device according to the proportional relationship, it may be determined that the number of the same certain device is K.
Therefore, in the example, the number of the devices can be determined according to the grouping of the members, so that the statistical time can be saved and the space management efficiency of the user can be improved while the requirements of the user are fully met.
In one possible example, the statistical result includes a room area formed by components, and the statistical result of the components in the first component group includes: acquiring a component with the component type of a wall body in the first component group to obtain a fourth component group; selecting wall members which can form a room in the fourth member group; calculating the area of the room based on the dimensions of the wall elements.
The statistical result further includes a room area formed by the components, the BIM model is a building model, if the room area needs to be obtained, the components of which the component types in the first component group are walls can be formed into a fourth component group, whether the wall components in the fourth component group are necessary wall components forming the room is judged, if yes, the size information of the wall components is obtained, if not, the wall components are discarded, and finally the room area is determined according to the size information of all the necessary wall components forming the room, for example, the room area is calculated according to the length of the wall.
In a specific implementation, the area of a room formed by components may be calculated according to coordinates of the components, the component type in the first component group is obtained as an endpoint coordinate of a component of a wall in the xyz rectangular coordinate system of the three-dimensional space, then a target wall component capable of forming the room is screened out according to the endpoint coordinate, and finally the area of the room is calculated according to the endpoint coordinate of the target wall component. Since the three-dimensional coordinates of the members constituting the room are continuous, when calculating the room area, a set of continuous coordinate points on the plane corresponding to xy may be selected, the coordinates corresponding to the points at the turning positions may be determined as the end point coordinates, and the room area may be calculated based on the end point coordinates. For example, the obtained endpoint coordinates include (x)1,y1),(x2,y2)...(xn,yn) The room area thus calculated from the endpoint coordinates is:
therefore, in the example, the room area can be calculated according to the components, so that the space management efficiency of the user can be improved while the requirements of the user are fully met, and the space management is more intelligent.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, and as shown in the drawing, the electronic device 300 includes a processor 310, a memory 320, a communication interface 330, and one or more programs 321, where the one or more programs 321 are stored in the memory 320 and configured to be executed by the processor 310, and the one or more programs 321 include instructions for executing any step of the method embodiment.
The communication unit is used for supporting the communication between the electronic equipment and other equipment. The terminal may further include a storage unit for storing program codes and data of the terminal.
The processing Unit may be a Processor 310 or a controller, such as a Central Processing Unit (CPU), a general purpose Processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others. The communication unit may be the communication interface 330, the transceiver, the transceiving circuit, etc., and the storage unit may be the memory 320.
In a specific implementation, the processor 310 is configured to perform any one of the steps performed by the electronic device in the above method embodiments, and when performing data transmission, such as sending, the communication interface 330 is optionally invoked to complete the corresponding operation. The details will be described below.
In one possible example, the instructions in the program 321 are to perform the following operations: acquiring a statistical instruction input by a user; determining the first component group according to the statistical instruction, wherein the components in the first component group are the components in the range indicated by the statistical instruction in the BIM; and counting the components in the first component group to obtain a statistical result.
In one possible example, the statistical instruction includes spatial information, and the instructions in the program 321 are specifically configured to, in determining the first component group according to the statistical instruction: establishing a three-dimensional space coordinate system, and determining the coordinates of all components in the BIM in the three-dimensional space coordinate system; determining a statistical space according to the spatial information, wherein the statistical space is a three-dimensional space determined according to two-dimensional coordinates contained in the spatial information and the height of the BIM; and acquiring a first component group according to the coordinates of all components in the BIM in the three-dimensional coordinate system and the statistical space, wherein the components in the first component group are the components of which the coordinates in the BIM are positioned in the statistical space.
In one possible example, the statistical instruction includes a target device identifier, and the components in the first component group are components of all components in the BIM, of which the device identifiers are the target device identifiers.
In one possible example, the statistical result includes the number of components belonging to the same component type, and in terms of the counting the number of components in the first component group to obtain the statistical result, the instructions in the program 321 are specifically configured to: obtaining M component types, wherein the M component types are types of components contained in the first component group; counting the number of the components with the type of component type T in the first component group, wherein the component type T is any one of the M component types.
In a possible example, the statistical result includes the number of components belonging to the same component type, and the statistical instruction further includes a component type P, and in terms of the statistics of the number of components in the first component group, the instruction in the program 321 is specifically configured to perform the following operations: counting the number of the components with the type of component type P in the first component group.
In one possible example, the statistical result includes a number of devices, and in terms of the statistics of the components in the first component group to obtain the statistical result, the instructions in the program 321 are specifically configured to: grouping the components in the first component group to obtain N second component groups, wherein the components in the second component groups all belong to the same equipment; determining S third component groups from the N second component groups, wherein all the components in the third component groups are all components capable of forming one device; wherein S is the number of the devices.
In one possible example, the statistical result includes a room area formed by components, and the instructions in the program 321 are specifically configured to perform the following operations in the aspect of performing statistics on the components in the first component group to obtain the statistical result: acquiring a component with the component type of a wall body in the first component group to obtain a fourth component group; selecting wall members which can form a room in the fourth member group; calculating the area of the room based on the dimensions of the wall elements.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of being implemented in hardware or a combination of hardware and computer software to describe the various steps in connection with the embodiments presented herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 4 is a block diagram illustrating functional units of a BIM-based component statistical apparatus according to an embodiment of the present application, where the BIM-based component statistical apparatus 400 specifically includes an obtaining unit 401 for obtaining a statistical instruction input by a user; a determining unit 402, configured to determine the first component group according to the statistical instruction, where components in the first component group are components within a range indicated by the statistical instruction in the BIM; a statistical unit 403, configured to perform statistics on the components in the first component group to obtain a statistical result.
In a possible example, the statistical instruction includes spatial information, and in terms of determining the first component group according to the statistical instruction, the determining unit 402 is specifically configured to establish a three-dimensional coordinate system, and determine coordinates of all components in the BIM in the three-dimensional coordinate system; determining a statistical space according to the spatial information, wherein the statistical space is a three-dimensional space determined according to two-dimensional coordinates contained in the spatial information and the height of the BIM; and acquiring a first component group according to the coordinates of all components in the BIM in the three-dimensional coordinate system and the statistical space, wherein the components in the first component group are the components of which the coordinates in the BIM are positioned in the statistical space.
In one possible example, the statistical instruction includes a target device identifier, and the components in the first component group are components of all components in the BIM, of which the device identifiers are the target device identifiers.
In a possible example, the statistical result includes the number of components belonging to the same component type, and in terms of performing quantity statistics on the components in the first component group to obtain the statistical result, the statistical unit 403 is specifically configured to obtain M component types, where the M component types are types of components included in the first component group; counting the number of the components with the type of component type T in the first component group, wherein the component type T is any one of the M component types.
In a possible example, the statistical result includes the number of components belonging to the same component type, and the statistical instruction further includes a component type P, and in terms of performing number statistics on the components in the first component group to obtain a statistical result, the statistical unit 403 is specifically configured to count the number of components of the first component group, of which the type is the component type P.
In a possible example, the statistical result includes the number of devices, and in terms of the statistics on the components in the first component group to obtain the statistical result, the statistical unit 403 is specifically configured to group the components in the first component group to obtain N second component groups, where the components in the second component group all belong to the same device; determining S third component groups from the N second component groups, wherein all the components in the third component groups are all components capable of forming one device; wherein S is the number of the devices.
In a possible example, the statistical result includes a room area formed by components, and in the aspect of performing statistics on the components in the first component group to obtain the statistical result, the statistical unit 403 is specifically configured to obtain that the component type in the first component group is a component of a wall, so as to obtain a fourth component group; selecting wall members which can form a room in the fourth member group; calculating the area of the room based on the dimensions of the wall elements.
It can be understood that, since the method embodiment and the apparatus embodiment are different presentation forms of the same technical concept, the content of the method embodiment portion in the present application should be synchronously adapted to the apparatus embodiment portion, and is not described herein again.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several 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 above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A component statistical method based on a Building Information Model (BIM), which is characterized by comprising the following steps:
acquiring a statistical instruction input by a user;
determining the first component group according to the statistical instruction, wherein the components in the first component group are the components in the range indicated by the statistical instruction in the BIM;
and counting the components in the first component group to obtain a statistical result.
2. The method of claim 1, wherein the statistical instruction comprises spatial information, and wherein determining the first set of components based on the statistical instruction comprises:
establishing a three-dimensional space coordinate system, and determining the coordinates of all components in the BIM in the three-dimensional space coordinate system;
determining a statistical space according to the spatial information, wherein the statistical space is a three-dimensional space determined according to two-dimensional coordinates contained in the spatial information and the height of the BIM;
and acquiring a first component group according to the coordinates of all components in the BIM in the three-dimensional coordinate system and the statistical space, wherein the components in the first component group are the components of which the coordinates in the BIM are positioned in the statistical space.
3. The method of claim 1, wherein the statistical instruction comprises a target device identifier, and wherein the component in the first component group is a component of all components in the BIM whose device identifier is the target device identifier.
4. The method according to any one of claims 1-3, wherein the statistical result comprises the number of components belonging to the same component type, and the performing a number statistics on the components within the first component group to obtain the statistical result comprises:
obtaining M component types, wherein the M component types are types of components contained in the first component group;
counting the number of the components with the type of component type T in the first component group, wherein the component type T is any one of the M component types.
5. The method according to any one of claims 1-3, wherein the statistical result comprises the number of components belonging to the same component type, wherein the statistical instruction further comprises a component type P, and wherein the performing a number statistics on the components within the first component group to obtain the statistical result comprises:
counting the number of the components with the type of component type P in the first component group.
6. The method of claim 1 or 2, wherein the statistical result comprises a number of devices, and wherein the performing statistics on the components in the first component group to obtain the statistical result comprises:
grouping the components in the first component group to obtain N second component groups, wherein the components in the second component groups all belong to the same equipment;
determining S third component groups from the N second component groups, wherein all the components in the third component groups are all components capable of forming one device; wherein S is the number of the devices.
7. The method of claim 1 or 2, wherein the statistical result comprises a room area of components, and the performing statistics on the components in the first component group to obtain the statistical result comprises:
acquiring a component with the component type of a wall body in the first component group to obtain a fourth component group;
selecting wall members which can form a room in the fourth member group;
calculating the area of the room based on the dimensions of the wall elements.
8. A Building Information Model (BIM) -based component statistics apparatus, the apparatus comprising:
the acquisition unit is used for acquiring a statistical instruction input by a user;
a determining unit, configured to determine the first component group according to the statistical instruction, where components in the first component group are components within a range indicated by the statistical instruction in the BIM;
and the statistical unit is used for carrying out statistics on the components in the first component group to obtain a statistical result.
9. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of claims 1-7.
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