CN111159609A - Attribute information modification method and related device - Google Patents
Attribute information modification method and related device Download PDFInfo
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- CN111159609A CN111159609A CN201911331068.7A CN201911331068A CN111159609A CN 111159609 A CN111159609 A CN 111159609A CN 201911331068 A CN201911331068 A CN 201911331068A CN 111159609 A CN111159609 A CN 111159609A
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Abstract
The embodiment of the application provides an attribute information modification method and a related device, wherein the method comprises the following steps: acquiring target attribute modification information of a first component in a web page graphic library WEBGL; determining first reference attribute information of the first component in a Building Information Model (BIM) according to the identification information of the first component; and modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information, so that convenience in modifying the attribute information of the model component can be improved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method and a related apparatus for modifying attribute information.
Background
In the process of using a Web page end management platform to perform property management, the attribute of a model component can be checked based on a Web page graphic library (Web graphics library, webbl).
Disclosure of Invention
The embodiment of the application provides an attribute information modification method and a related device, which can improve convenience in modifying attribute information of a model component.
A first aspect of an embodiment of the present application provides a method for modifying attribute information, where the method includes:
acquiring target attribute modification information of a first component in a web page graphic library WEBGL;
determining first reference attribute information of the first member in a Building Information Model (BIM) according to the identification information of the first member;
and modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
With reference to the first aspect, in a possible implementation manner of the first aspect, the acquiring target attribute modification information of a first component in a web page graph library WEBGL includes:
acquiring first action information and expression information of a target user;
and determining target attribute modification information of the first component according to the first action information and the expression information.
With reference to the first aspect, in a possible implementation manner of the first aspect, the determining target attribute modification information of the first component according to the first action information and the expression information includes:
determining first sub-target attribute modification information according to the first action information;
determining first reference attribute modification information according to the eye expression information, determining second reference attribute modification information according to the facial expression information, and determining third reference attribute modification information according to the mouth expression information;
determining second sub-target attribute modification information according to the first reference attribute modification information, the second reference attribute modification information and the third reference attribute modification information;
acquiring environment information of the target user, wherein the environment information comprises second action information of an associated user and identity information of the associated user, and the associated user is a user interacting with the target user;
determining the interaction type of the associated user and the target user according to the first action information and the second action information;
determining third sub-target attribute modification information according to the interaction type and the identity information of the associated user;
and determining the target attribute modification information according to the first sub-target attribute modification information, the second sub-target attribute modification information and the third sub-target attribute modification information.
With reference to the first aspect, in a possible implementation manner of the first aspect, the method further includes:
acquiring category information of the first component;
determining at least one second component according to the category information;
acquiring second reference attribute information corresponding to each second component in the at least one second component correspondence;
and modifying the second reference attribute information corresponding to each second member according to the target attribute modification information to obtain second target attribute information corresponding to each second member.
With reference to the first aspect, in a possible implementation manner of the first aspect, the modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information includes:
extracting the target attribute modification information;
and judging whether the target attribute modification information conforms to a preset modification rule, and if so, modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
A second aspect of an embodiment of the present application provides an attribute information modification apparatus, including: an obtaining unit, a determining unit and a modifying unit, wherein,
the system comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring target attribute modification information of a first component in a web page graphic library WEBGL;
the determining unit is used for determining first reference attribute information of the first component in a Building Information Model (BIM) according to the identification information of the first component;
and the modifying unit is used for modifying the first reference attribute information according to the target attribute modifying information to obtain first target attribute information.
With reference to the second aspect, in a possible implementation manner of the second aspect, the obtaining unit is configured to:
acquiring first action information and expression information of a target user;
and determining target attribute modification information of the first component according to the first action information and the expression information.
With reference to the second aspect, in a possible implementation manner of the second aspect, the expression information includes eye expression information, facial expression information, and mouth expression information, and in the aspect that the target attribute modification information of the first member is determined according to the first action information and the expression information, the obtaining unit is configured to:
determining first sub-target attribute modification information according to the first action information;
determining first reference attribute modification information according to the eye expression information, determining second reference attribute modification information according to the facial expression information, and determining third reference attribute modification information according to the mouth expression information;
determining second sub-target attribute modification information according to the first reference attribute modification information, the second reference attribute modification information and the third reference attribute modification information;
acquiring environment information of the target user, wherein the environment information comprises second action information of an associated user and identity information of the associated user, and the associated user is a user interacting with the target user;
determining the interaction type of the associated user and the target user according to the first action information and the second action information;
determining third sub-target attribute modification information according to the interaction type and the identity information of the associated user;
and determining the target attribute modification information according to the first sub-target attribute modification information, the second sub-target attribute modification information and the third sub-target attribute modification information.
With reference to the second aspect, in a possible implementation manner of the second aspect, the apparatus is further configured to:
acquiring category information of the first component;
determining at least one second component according to the category information;
acquiring second reference attribute information corresponding to each second component in the at least one second component correspondence;
and modifying the second reference attribute information corresponding to each second member according to the target attribute modification information to obtain second target attribute information corresponding to each second member.
With reference to the second aspect, in a possible implementation manner of the second aspect, the modifying unit is configured to:
extracting the target attribute modification information;
and judging whether the target attribute modification information conforms to a preset modification rule, and if so, modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
A third aspect of the embodiments of the present application provides a terminal, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiments of the present application.
A fourth aspect of embodiments of 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 as described in the first aspect of embodiments of the present application.
A fifth aspect of embodiments of the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps as described in the first aspect of embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has at least the following beneficial effects:
the method comprises the steps of obtaining target attribute modification information of a first component in a web page graphic library WEBGL, determining first reference attribute information of the first component in a building information model BIM according to identification information of the first component, modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information, and therefore, obtaining the target attribute modification information of the first component in the WEBGL, modifying the reference attribute information of the first component in the BIM to obtain the first target attribute information, and modifying the attribute information without software such as REVIT and the like, so that convenience in modifying the attribute information of the component in the BIM is improved.
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 an application attribute information modification system according to an embodiment of the present application;
fig. 2 is a schematic flowchart of an attribute information modification method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of an attribute information modification method according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating a method for modifying attribute information according to an embodiment of the present application;
FIG. 5 is a flowchart illustrating a method for modifying attribute information according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a terminal according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an attribute information modification apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the 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 application.
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 in the specification 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 specification. 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.
In order to better understand the attribute information modification method provided in the embodiment of the present application, first, a brief description is given below to an attribute information modification system to which the attribute information modification method is applied. Referring to fig. 1, fig. 1 is a schematic diagram of an attribute information modification system according to an embodiment of the present application. As shown in fig. 1, the attribute information modification system, webbl, BIM are applied to the terminal device.
The attribute information modification system may be a plug-in, or may be a part of WEGBL, and may be configured to modify, in BIM, attribute information corresponding to a component after modifying the attribute information of the component in WEBGL.
WEBGL is a web page graphic library, which can realize operations such as viewing and modifying of constructed attribute information of a web end, and BIM is a building information model, which includes information of the building model, such as identification information of components, attribute information (component material), and use states of the components.
The method includes that a user inputs target attribute modification information of a first member on WEBGL in terminal equipment, the user can input the target attribute modification information through input equipment of the terminal equipment, or the terminal equipment collects action information of the user and inputs the action information according to the action information, or the action information can be input in other modes, an attribute information modification system acquires the target attribute modification information, the attribute information modification system determines first reference attribute information of the first member in BIM according to identification information of the first member, and modifies the first reference attribute information according to the target attribute modification information to obtain the first target attribute information of the first member.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating an attribute information modification method according to an embodiment of the present application. As shown in fig. 2, the attribute information modification method includes steps 201 and 203, which are as follows:
201. and acquiring target attribute modification information of the first component in the web page graphic library WEBGL.
The target attribute modification information may be understood as modification information of attribute information of the first member, for example, modification of a use state of the first member from an unused state to a used state.
When the target attribute modification information is acquired, the target attribute modification information may be acquired by acquiring action information and expression information of a target user, or the target attribute modification information may be acquired by acquiring the target user through an input device of the terminal device, and when the target attribute modification information is acquired through the input device, for example, information input by the user may be detected through a device such as a keyboard of the terminal device, and the target attribute modification information may be determined according to the input information.
202. According to the identification information of the first component, first reference attribute information of the first component in the building information model BIM is determined.
Attribute information corresponding to the identification information can be acquired from the BIM according to the identification information to obtain first reference attribute information, where the attribute information is attribute information of the first component before attribute modification is performed.
203. And modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
When the first reference attribute information is modified, the following may be specifically performed: and acquiring the attribute modified by the target attribute modification information in the first reference attribute information, and determining the attribute information corresponding to the attribute as the target attribute modification information to finish the modification of the first reference attribute information.
In this example, the target attribute modification information of the first component in the web page graphic library WEBGL is acquired, the first reference attribute information of the first component in the building information model BIM is determined according to the identification information of the first component, and the first reference attribute information is modified according to the target attribute modification information to obtain the first target attribute information, so that the target attribute modification information of the first component in the web page graphic library WEBGL can be acquired, and then the reference attribute information of the first component in the BIM is modified to obtain the first target attribute information, and the attribute information modification is not required to be performed by using software such as REVIT, so that convenience in modifying the attribute information of the component in the BIM is improved.
In one possible embodiment, a possible method for obtaining target property modification information of a first component in web page graphic library WEBGL includes steps a1-a2 as follows:
a1, acquiring first action information and expression information of a target user;
and A2, determining target attribute modification information of the first component according to the first action information and the expression information.
When the first action information and the expression information of the target user are obtained, the multiple images of the target user can be collected and analyzed to obtain the first action information and the expression information.
The target attribute modification information may be determined according to a mapping relationship between the first action information and the expression information and the attribute modification information, the mapping relationship being set by an empirical value or historical data. The target attribute modification information may be determined by sub-target attribute modification information determined by the first action information and the expression information, respectively.
In this example, the target attribute modification information is determined by the action information and the expression information, so that the diversity of the target attribute modification information acquisition can be improved.
In one possible embodiment, when the first action information and the expression information of the target user are obtained, the following method may be adopted, including steps B1-AB3, as follows:
b1, collecting N target images of a target user, wherein N is a positive integer;
b2, performing feature extraction on the N target images to obtain target feature data;
and B3, determining action information and expression information according to the target characteristic data.
Through a plurality of image acquisition devices, when gathering target user's image, different acquisition device can adopt the light irradiation target user of different wave bands to gather target user's many images under different wave bands, in order to obtain N target image. The target image may be a whole-body image of the user or the like.
When the N target images are subjected to feature extraction to obtain target feature data, feature extraction may be performed on each of the N target images to obtain target feature data, and the feature extraction may be performed by using a feature extraction algorithm, which may be, for example, a local binary method. The characteristic data may include gray values or the like.
The target images in different wave bands are subjected to feature extraction to obtain feature data, and the images in different wave bands can reflect information of users in different colors, so that the content of details can be reflected more accurately compared with the images acquired by a common camera, and the accuracy of feature data acquisition can be improved compared with the existing scheme.
The method for determining the action information and the expression information according to the target feature data may be: and determining the outline information of the target user according to the gray value, and determining the action information and the expression information according to the outline information. Contour information may be understood as contour information of various body parts of the user, for example eye contour information, face contour information, mouth contour information, hand contour information, leg contour information, etc. Because the gray value of the part with the contour is subjected to abrupt change, the contour information can be determined according to the mode of abrupt change of the gray value. Of course, the contour information may also be determined in other ways. When the expression information is determined according to the contour information, the expression information corresponding to the contour information may be determined according to a mapping relationship between the contour information and the expression information. The mapping relationship may be obtained by training of a computing device, or may be obtained by way of manual labeling, which is only an example and is not limited specifically herein. A computing device may be understood as a device that may perform neural network model training.
When the action information and the expression information are determined according to the contour data, the contour information of the target user in each image can be determined according to the feature data corresponding to the N images through the feature data corresponding to the N images, the contour data are analyzed according to the time sequence of the acquisition of the N target images, the variation of the contour information of each part of the target user is determined, and the action information and the expression information are determined according to the variation. If the variation of the contour information is zero, it indicates that the expression or the action of the corresponding part of the user is not changed, and the action information and the expression information corresponding to one of the target images are used as the action information and the expression information of the target user. And if the variation is not zero, determining a variation trend according to the variation, and determining action information and expression information according to the variation trend. Taking the motion information as an example, the trend of the change may be, for example, that the hand contour has a trend of moving downward, and it may be determined that the user hand motion is downward.
In the example, the target image is collected, the action information and the expression information are obtained through the feature data of the target image, the image of the user can be collected in real time, the image is analyzed and processed, the action information and the expression information are obtained, and the accuracy of the action information and the expression information in the process of obtaining can be improved.
In one possible embodiment, the expression information includes eye expression information, facial expression information, and mouth expression information, and a possible method for determining target attribute modification information of the first member according to the first motion information and the expression information includes steps C1-C7, as follows:
c1, determining first sub-target attribute modification information according to the first action information;
c2, determining first reference attribute modification information according to the eye expression information, determining second reference attribute modification information according to the facial expression information, and determining third reference attribute modification information according to the mouth expression information;
c3, determining second sub-target attribute modification information according to the first reference attribute modification information, the second reference attribute modification information and the third reference attribute modification information;
c4, acquiring environment information of the target user, wherein the environment information comprises second action information of the associated user and identity information of the associated user, and the associated user is a user interacting with the target user;
c5, determining the interaction type of the associated user and the target user according to the first action information and the second action information;
c6, determining the attribute modification information of the third sub-target according to the interaction type and the identity information of the associated user;
and C7, determining the target attribute modification information according to the first sub-target attribute modification information, the second sub-target attribute modification information and the third sub-target attribute modification information.
According to the first action information, when the first sub-target attribute modification information is determined, different actions reflect different modification information, for example, a hooking action may indicate that the attribute modification information is a confirmation modification, and a forking action may identify that the attribute modification information is a deletion, and the like. The first sub-target property modification information may be determined based on different actions.
When the first reference attribute modification information is determined according to the eye expression information, for example, the first reference attribute modification information may be determined according to different eye movements, for example, the eye movement is blinking, the number of times of eye circling, and the like, so as to determine the first reference attribute modification information, and the different eye movements represent the different first reference attribute modification information. The second reference-property modification information and the third reference-property modification information are determined in the same way as the first reference-property modification information, i.e. different facial expressions represent different second reference-property modification information and different mouth expressions represent different third reference-property modification information.
A union of the first reference attribute modification information, the second reference attribute modification information, and the third reference attribute modification information may be determined as the second sub-target attribute modification information. Or determining the intersection of the first reference attribute modification information, the second reference attribute modification information and the third reference attribute modification information as the second sub-target attribute modification information.
The method for acquiring the environment information of the target user may refer to the manner of acquiring the action information of the target user in the foregoing embodiment, and details are not described here.
When determining the interaction type between the associated user and the target user according to the first action information and the second action information, it may be understood as: the first action information and the second action information may reflect interaction information between the target user and the associated user, for example, if the first action information and the second action information are both nodding actions, it may be determined that the interaction information is that both the first user and the second user confirm modification of the first component, and the interaction type is a first type of interaction type, or if the first action information is nodding and the second action information is shaking, it may be determined that the interaction information is that the associated user disagrees with the modification of the first component by the target user, and the interaction type is a second interaction type. Of course, other actions may be taken to characterize the first interaction type and the second interaction type, which are merely illustrative and not restrictive.
The method for determining the attribute modification information of the third sub-target according to the association type and the identity information of the associated user may be: the third sub-target attribute modification information comprises the attribute modification information of the second sub-target which is allowed to be used and the attribute modification information of the second sub-target which is refused to be used, the identity information comprises the user grade, and if the user grade of the associated user is higher than the user grade of the target user and the interaction type is a second interaction type, the third sub-target attribute modification information is the attribute modification information of the second sub-target which is refused to be used; if the user level of the associated user is lower than or equal to the user level of the target user and the interaction type is a second interaction type, the third sub-target attribute modification information is the modification information which agrees to use the second sub-target attribute; and if the interaction type is the first interaction type, the third sub-target attribute modification information is the modification information which is approved to use the second sub-target attribute.
When the target attribute modification information is determined according to the first sub-target attribute modification information, the second sub-target attribute modification information, and the third sub-target attribute modification information, the target attribute modification information may be specifically determined according to the third sub-target attribute modification information. For example, if the third sub-target attribute modification information is the modification information that the second sub-target attribute modification information is approved to be used, the target modification information is the union of the first sub-target attribute modification information and the second sub-target attribute modification information.
In this example, the target attribute modification information is determined by the eye expression information, the facial expression information, the mouth expression information, and the motion information, so that the accuracy of determining the target attribute modification information can be improved.
In one possible embodiment, a batch modification may be further provided, and the batch modification method includes steps D1-D4, as follows:
d1, acquiring the category information of the first component;
d2, determining at least one second component according to the category information;
d3, acquiring second reference attribute information corresponding to each second component in at least one second component correspondence;
and D4, modifying the second reference attribute information corresponding to each second member according to the target attribute modification information to obtain second target attribute information corresponding to each second member.
The category information includes a category, family information, type information, and the like of the first member. Members belonging to the same family may be determined as the second member, and members having the same type information may be determined as the second member.
The method for obtaining the second reference attribute information corresponding to the second component may refer to the method for obtaining the first reference attribute information in the foregoing embodiment, and the method for modifying the second reference attribute information may also refer to the method for modifying the first reference attribute information in the foregoing embodiment, and details are not described here again.
In this example, the attribute information of the second member belonging to the same category may be modified by acquiring the category information of the first member, so that convenience in modifying the attribute information is improved.
In a possible embodiment, a possible method for modifying the first reference attribute information according to the target attribute modification information to obtain the first target attribute information includes steps E1-E2, which are as follows:
e1, extracting target attribute modification information;
e2, judging whether the target attribute modification information conforms to a preset modification rule, and if so, modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
The preset modification rule can be set through experience values or historical data. For example, the preset modification rule may be that the position information in the attribute information of the door cannot be placed on the floor, the ceiling, or the like, and is only an example and is not particularly limited.
In this example, by determining the target attribute modification information, abnormal attribute modification is avoided, and accuracy in modification can be improved.
Referring to fig. 3, fig. 3 is a schematic flow chart of another attribute modification method according to an embodiment of the present application. As shown in fig. 3, the method for modifying attribute modification information includes steps 301 and 304, which are as follows:
301. acquiring first action information and expression information of a target user;
302. determining target attribute modification information of the first component according to the first action information and the expression information;
303. determining first reference attribute information of the first component in a Building Information Model (BIM) according to the identification information of the first component;
304. and modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
In this example, the target attribute modification information is determined by the action information and the expression information, so that the diversity of the target attribute modification information acquisition can be improved.
Referring to fig. 4, fig. 4 is a schematic flow chart of another attribute modification information modification method according to an embodiment of the present application. As shown in fig. 4, the method for modifying attribute modification information includes steps 401 and 410, which are as follows:
401. acquiring first action information and expression information of a target user;
the expression information comprises eye expression information, facial expression information and mouth expression information.
402. Determining first sub-target attribute modification information according to the first action information;
403. determining first reference attribute modification information according to the eye expression information, determining second reference attribute modification information according to the facial expression information, and determining third reference attribute modification information according to the mouth expression information;
404. determining second sub-target attribute modification information according to the first reference attribute modification information, the second reference attribute modification information and the third reference attribute modification information;
405. acquiring environment information of a target user, wherein the environment information comprises second action information of an associated user and identity information of the associated user, and the associated user is a user interacting with the target user;
406. determining the interaction type of the associated user and the target user according to the first action information and the second action information;
407. determining third sub-target attribute modification information according to the interaction type and the identity information of the associated user;
408. determining target attribute modification information according to the first sub-target attribute modification information, the second sub-target attribute modification information and the third sub-target attribute modification information;
409. determining first reference attribute information of the first component in a Building Information Model (BIM) according to the identification information of the first component;
410. and modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
In this example, the target attribute modification information is determined by the eye expression information, the facial expression information, the mouth expression information, and the motion information, so that the accuracy of determining the target attribute modification information can be improved.
Referring to fig. 5, fig. 5 is a schematic flow chart of another attribute modification method according to an embodiment of the present application. As shown in fig. 5, the method for modifying attribute modification information includes steps 501 and 504, which are as follows:
501. acquiring target attribute modification information of a first component in a web page graphic library WEBGL;
502. determining first reference attribute information of the first component in a Building Information Model (BIM) according to the identification information of the first component;
503. and modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
504. Acquiring category information of a first component;
505. determining at least one second component according to the category information;
506. acquiring second reference attribute information corresponding to each second component in at least one second component correspondence;
507. and modifying the second reference attribute information corresponding to each second member according to the target attribute modification information to obtain second target attribute information corresponding to each second member.
In this example, the attribute information of the second member belonging to the same category may be modified by acquiring the category information of the first member, so that convenience in modifying the attribute information is improved.
In accordance with the foregoing embodiments, please refer to fig. 6, fig. 6 is a schematic structural diagram of a terminal according to an embodiment of the present application, and as shown in the drawing, the terminal includes a processor, an input device, an output device, and a memory, and the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for performing the following steps;
acquiring target attribute modification information of a first component in a web page graphic library WEBGL;
determining first reference attribute information of the first component in a Building Information Model (BIM) according to the identification information of the first component;
and modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
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 terminal includes corresponding hardware structures and/or software modules for performing the respective functions in order to implement the above-described functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided 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 terminal may be divided into the functional units according to the above 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.
In accordance with the above, please refer to fig. 7, fig. 7 is a schematic structural diagram of an attribute information modification apparatus according to an embodiment of the present application. As shown in fig. 7, the apparatus includes: an acquisition unit 701, a determination unit 702, and a modification unit 703, wherein,
an obtaining unit 701, configured to obtain target attribute modification information of a first component in a web page graph library webbl;
a determining unit 702, configured to determine, according to the identification information of the first component, first reference attribute information of the first component in a building information model BIM;
a modifying unit 703, configured to modify the first reference attribute information according to the target attribute modification information, so as to obtain first target attribute information.
In a possible implementation manner, the obtaining unit 701 is configured to:
acquiring first action information and expression information of a target user;
and determining target attribute modification information of the first component according to the first action information and the expression information.
In a possible implementation manner, the expression information includes eye expression information, facial expression information, and mouth expression information, and in terms of determining target attribute modification information of the first component according to the first action information and the expression information, the obtaining unit 701 is configured to:
determining first sub-target attribute modification information according to the first action information;
determining first reference attribute modification information according to the eye expression information, determining second reference attribute modification information according to the facial expression information, and determining third reference attribute modification information according to the mouth expression information;
determining second sub-target attribute modification information according to the first reference attribute modification information, the second reference attribute modification information and the third reference attribute modification information;
acquiring environment information of the target user, wherein the environment information comprises second action information of an associated user and identity information of the associated user, and the associated user is a user interacting with the target user;
determining the interaction type of the associated user and the target user according to the first action information and the second action information;
determining third sub-target attribute modification information according to the interaction type and the identity information of the associated user;
and determining the target attribute modification information according to the first sub-target attribute modification information, the second sub-target attribute modification information and the third sub-target attribute modification information.
In one possible implementation, the apparatus is further configured to:
acquiring category information of the first component;
determining at least one second component according to the category information;
acquiring second reference attribute information corresponding to each second component in the at least one second component correspondence;
and modifying the second reference attribute information corresponding to each second member according to the target attribute modification information to obtain second target attribute information corresponding to each second member.
In one possible implementation manner, the modifying unit 703 is configured to:
extracting the target attribute modification information;
and judging whether the target attribute modification information conforms to a preset modification rule, and if so, modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
An embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the attribute information modification methods described in the above method embodiments.
Embodiments of the present application also provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program causes a computer to execute part or all of the steps of any one of the attribute information modification methods described in the above method embodiments.
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 division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. 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 invention 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 may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. 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 method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
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 memory, random access memory, 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 method for modifying attribute information, the method comprising:
acquiring target attribute modification information of a first component in a web page graphic library WEBGL;
determining first reference attribute information of the first component in a Building Information Model (BIM) according to the identification information of the first component;
and modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
2. The method of claim 1, wherein the obtaining target property modification information of the first component in web page graphics library WEBGL comprises:
acquiring first action information and expression information of a target user;
and determining target attribute modification information of the first component according to the first action information and the expression information.
3. The method of claim 2, wherein the expression information comprises eye expression information, facial expression information, and mouth expression information, and wherein determining the target property modification information for the first member based on the first motion information and the expression information comprises:
determining first sub-target attribute modification information according to the first action information;
determining first reference attribute modification information according to the eye expression information, determining second reference attribute modification information according to the facial expression information, and determining third reference attribute modification information according to the mouth expression information;
determining second sub-target attribute modification information according to the first reference attribute modification information, the second reference attribute modification information and the third reference attribute modification information;
acquiring environment information of the target user, wherein the environment information comprises second action information of an associated user and identity information of the associated user, and the associated user is a user interacting with the target user;
determining the interaction type of the associated user and the target user according to the first action information and the second action information;
determining third sub-target attribute modification information according to the interaction type and the identity information of the associated user;
and determining the target attribute modification information according to the first sub-target attribute modification information, the second sub-target attribute modification information and the third sub-target attribute modification information.
4. The method according to any one of claims 1 to 3, further comprising:
acquiring category information of the first component;
determining at least one second component according to the category information;
acquiring second reference attribute information corresponding to each second component in the at least one second component correspondence;
and modifying the second reference attribute information corresponding to each second member according to the target attribute modification information to obtain second target attribute information corresponding to each second member.
5. The method of claim 4, wherein the modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information comprises:
extracting the target attribute modification information;
and judging whether the target attribute modification information conforms to a preset modification rule, and if so, modifying the first reference attribute information according to the target attribute modification information to obtain first target attribute information.
6. An attribute modification information modification apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring target attribute modification information of a first component in a web page graphic library WEBGL;
the determining unit is used for determining first reference attribute information of the first component in a Building Information Model (BIM) according to the identification information of the first component;
and the modifying unit is used for modifying the first reference attribute information according to the target attribute modifying information to obtain first target attribute information.
7. The apparatus of claim 6, wherein the obtaining unit is configured to:
acquiring first action information and expression information of a target user;
and determining target attribute modification information of the first component according to the first action information and the expression information.
8. The apparatus according to claim 7, wherein the expression information includes eye expression information, facial expression information, and mouth expression information, and the acquisition unit is configured to, in the determining of the target property modification information of the first member based on the first action information and the expression information:
determining first sub-target attribute modification information according to the first action information;
determining first reference attribute modification information according to the eye expression information, determining second reference attribute modification information according to the facial expression information, and determining third reference attribute modification information according to the mouth expression information;
determining second sub-target attribute modification information according to the first reference attribute modification information, the second reference attribute modification information and the third reference attribute modification information;
acquiring environment information of the target user, wherein the environment information comprises second action information of an associated user and identity information of the associated user, and the associated user is a user interacting with the target user;
determining the interaction type of the associated user and the target user according to the first action information and the second action information;
determining third sub-target attribute modification information according to the interaction type and the identity information of the associated user;
and determining the target attribute modification information according to the first sub-target attribute modification information, the second sub-target attribute modification information and the third sub-target attribute modification information.
9. A terminal, comprising a processor, an input device, an output device, and a memory, the processor, the input device, the output device, and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-5.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 1-5.
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