CN111783910A

CN111783910A - Building project management method, electronic equipment and related products

Info

Publication number: CN111783910A
Application number: CN202010558955.4A
Authority: CN
Inventors: 蒋薇; 赵伟玉; 何祥伟; 曾仲光
Original assignee: Wanyi Technology Co Ltd
Current assignee: Wanyi Technology Co Ltd
Priority date: 2020-06-18
Filing date: 2020-06-18
Publication date: 2020-10-16
Anticipated expiration: 2040-06-18
Also published as: CN111783910B

Abstract

The embodiment of the application discloses a building project management method, electronic equipment and related products, which are applied to the electronic equipment, wherein the method comprises the following steps: analyzing the BIM model to obtain a target component set, wherein the target component set comprises a plurality of components, each component corresponds to one part of the BIM, the BIM model is a model corresponding to a construction drawing, the RFID in the BIM model is obtained to obtain an RFID set, the RFID set comprises a plurality of RFID, each RFID corresponds to a unique position in the BIM, first attribute information of each component in the target component set is obtained to obtain a first attribute information set, second attribute information of each RFID in the RFID set is obtained to obtain a second attribute information set, and an association relation between the components in the target construction set and the RFID in the RFID set is established according to the first attribute information set and the second attribute information set. By adopting the method and the device, the relevance between the RFID and the component can be established, and the project management efficiency is improved.

Description

Building project management method, electronic equipment and related products

Technical Field

The application relates to the technical field of data processing, in particular to a building project management method, electronic equipment and related products.

Background

The application of the Building Information Modeling (BIM) model and the Radio Frequency Identification (RFID) technology in the prefabricated part is embodied in the production stage, the transportation stage, the field construction stage and the operation and maintenance stage of the part. It can be said that the assembly building construction process includes a large number of different RFIDs and corresponding information. When the information management is performed on the construction process by adopting the assembly type construction engineering management platform, however, it is found that a large amount of RFID cannot be well combined with the BIM model member, and how to combine the information contained in the large amount of RFID with the BIM model member in the project management is urgent to solve.

Disclosure of Invention

The embodiment of the application provides a building project management method, electronic equipment and related products, which can realize the establishment of the relevance between RFID and members and are beneficial to the improvement of project management efficiency.

In a first aspect, an embodiment of the present application provides a building project management method, which is applied to an electronic device, and the method includes:

analyzing a BIM model to obtain a target component set, wherein the target component set comprises a plurality of components, each component corresponds to one part of the BIM, and the BIM model is a model corresponding to a construction drawing;

acquiring RFID in the BIM model to obtain an RFID set, wherein the RFID set comprises a plurality of RFID, and each RFID corresponds to a unique position in the BIM;

acquiring first attribute information of each component in the target component set to obtain a first attribute information set;

acquiring second attribute information of each RFID in the RFID set to obtain a second attribute information set;

and establishing an incidence relation between the members in the target construction set and the RFID in the RFID set according to the first attribute information set and the second attribute information set.

In a second aspect, an embodiment of the present application provides a building project management apparatus, including: an analyzing unit, an obtaining unit and a establishing unit, wherein,

the analysis unit is used for analyzing the BIM model to obtain a target component set, the target component set comprises a plurality of components, each component corresponds to one part of the BIM, and the BIM model is a model corresponding to a construction drawing;

the acquiring unit is used for acquiring the RFID in the BIM model to obtain an RFID set, wherein the RFID set comprises a plurality of RFID, and each RFID corresponds to a unique position in the BIM;

the acquiring unit is further configured to acquire first attribute information of each component in the target component set to obtain a first attribute information set;

the acquiring unit is further configured to acquire second attribute information of each RFID in the RFID set to obtain a second attribute information set;

the establishing unit is used for establishing an incidence relation between the members in the target building set and the RFID in the RFID set according to the first attribute information set and the second attribute information set.

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 the steps in the first aspect of the embodiment of the present application.

In a fourth aspect, an embodiment 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 enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.

In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

The embodiment of the application has the following beneficial effects:

it can be seen that the building project management method, the electronic device and the related products described in the embodiments of the present application are applied to electronic devices, analyzing the BIM model to obtain a target component set, wherein the target component set comprises a plurality of components, each component corresponds to one part of the BIM, the BIM model is a model corresponding to a construction drawing, the RFID in the BIM model is obtained to obtain an RFID set, the RFID set comprises a plurality of RFID, each RFID corresponds to a unique position in the BIM, first attribute information of each component in the target component set is obtained to obtain a first attribute information set, second attribute information of each RFID in the RFID set is obtained to obtain a second attribute information set, and the association relationship between the components in the target construction set and the RFID in the RFID set is established according to the first attribute information set and the second attribute information set, thus, the relevance between the RFID and the component can be established, and the project management efficiency 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 flow chart of a building project management method according to an embodiment of the present application;

FIG. 2 is a schematic flow chart diagram of another building project management method provided by the embodiments of the present application;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 4A is a block diagram of functional units of a building project management apparatus according to an embodiment of the present application;

fig. 4B is a functional unit composition block diagram of a building project management apparatus according to an embodiment of the present application.

Detailed Description

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.

In order to make the technical solutions of the present application better understood, 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 electronic device described in the embodiment of the present application may include a smart Phone (e.g., an Android Phone, an iOS Phone, a Windows Phone, etc.), a tablet computer, a palm computer, a notebook computer, a video matrix, a monitoring platform, a Mobile Internet device (MID, Mobile Internet Devices), or a wearable device, which are merely examples, but not exhaustive, and include but are not limited to the foregoing Devices.

The following describes embodiments of the present application in detail.

Fig. 1 is a schematic flow chart of a building project management method provided in an embodiment of the present application, and as shown in the drawing, the building project management method includes:

101. analyzing the BIM model to obtain a target component set, wherein the target component set comprises a plurality of components, each component corresponds to one part of the BIM, and the BIM model is a model corresponding to a construction drawing.

In this embodiment of the application, the BIM model may be a model corresponding to a building drawing, the building drawing may be a drawing of a target project or a target building, the BIM model may be set in CAD software, and the building drawing may be a dwg file. The BIM model may be a model of a building built on a plant or other model.

In specific implementation, the electronic device may analyze the BIM model to obtain a target component set, where the specific analysis means may be an image recognition technology, or may also be a search according to a component identifier, the target component set may include a plurality of components, each component corresponds to one part of the BIM, the BIM model is a model corresponding to a construction drawing, and the component may be at least one of the following: doors, windows, walls, etc., without limitation thereto.

Optionally, in the step 101, analyzing the BIM model to obtain the target component set, the method may include the following steps:

11. acquiring a component identification set in the BIM model;

12. and analyzing the BIM model according to the component identification set to obtain the target component set.

In this embodiment, each component in the BIM model may correspond to a component identifier, and the component identifier may be at least one of the following: reference numbers, names, location labels, etc., without limitation. Specifically, the electronic device may obtain a component identifier set in the BIM model, and then may analyze the BIM model according to the component identifier set to obtain a target component set.

102. And acquiring the RFID in the BIM model to obtain an RFID set, wherein the RFID set comprises a plurality of RFID, and each RFID corresponds to a unique position in the BIM.

The BIM model can comprise a plurality of RFID, each RFID is arranged at the unique position in the BIM model, and then the electronic equipment can acquire the RFID in the BIM model to obtain an RFID set, and the RFID set can be all the RFID or part of the RFID in the BIM model.

103. And acquiring first attribute information of each component in the target component set to obtain a first attribute information set.

In this embodiment of the application, the first attribute information may be at least one of the following: hierarchy, location, scene state, importance level, label, function, etc., without limitation. Wherein, the scene state may be at least one of the following: a living room, a hall, a bedroom, a warehouse, etc., without limitation. The importance level may be preset or system default. The function may be at least one of: load bearing, breathable, removable, detachable, etc., and are not limited thereto.

104. And acquiring second attribute information of each RFID in the RFID set to obtain a second attribute information set.

Wherein the second attribute information may be at least one of: hierarchy, location, scene state, importance level, label, function, etc., without limitation. Wherein, the scene state may be at least one of the following: a living room, a hall, a bedroom, a warehouse, etc., without limitation. The importance level may be preset or system default. The function may be at least one of: location, access control, charging, attendance, etc., without limitation.

105. And establishing an incidence relation between the members in the target construction set and the RFID in the RFID set according to the first attribute information set and the second attribute information set.

In the embodiment of the application, the electronic device can establish an incidence relation between the members in the target building set and the RFIDs in the RFID set according to the first attribute information set and the second attribute information set, and then after obtaining the incidence relation, can implement the later indoor navigation by using the incidence relation, or can provide guidance for the later building enclosure.

Optionally, in step 105, establishing an association relationship between the members in the target building set and the RFIDs in the RFID set according to the first attribute information set and the second attribute information set, may include the following steps:

51. determining a plurality of associated parameters between an ith component i and a jth RFID according to first attribute information i and second attribute information j, wherein the first attribute information i is the attribute information of the ith component, and the second attribute information j is the attribute information of the jth RFID;

52. obtaining a weight value corresponding to each of the plurality of associated parameters to obtain a plurality of weight values;

53. performing weighting operation according to the plurality of association parameters and the plurality of weight values to obtain a target association degree;

54. determining a target association level corresponding to the target association degree according to a preset mapping relation between the association degree and the association level;

55. and taking the target association grade as the association relation between the ith component and the jth RFID.

In this embodiment, the association parameter may be at least one of the following: distance, position number difference, spatial association, scene difference, functional difference, and the like. In the specific implementation, after knowing the component and the RFID, the corresponding spatial association degree, the scene difference degree and the function difference degree can be queried through a preset association information table. The electronic device may also pre-store a mapping relationship between a preset association degree and an association level.

In specific implementation, taking an ith component and a jth RFID as examples, the first attribute information i is attribute information of the ith component, and the second attribute information j is attribute information of the jth RFID, the electronic device may determine a plurality of association parameters between the ith component i and the jth RFID according to the first attribute information i and the second attribute information j, further may obtain a weight value corresponding to each of the plurality of association parameters, obtain a plurality of weight values, and perform a weighting operation according to the plurality of association parameters and the plurality of weight values, to obtain a target association degree, further, may determine a target association level corresponding to the target association degree according to a preset mapping relationship between the association degree and the association level, and use the target association level as an association relationship between the ith component and the jth RFID.

Further optionally, in the step 52, obtaining a weight value corresponding to each of the plurality of associated parameters to obtain a plurality of weight values, may include the following steps:

521. obtaining an influence factor corresponding to each correlation parameter in the plurality of correlation parameters to obtain a plurality of influence factors;

522. determining an initial weight set corresponding to the plurality of correlation parameters according to the plurality of influence factors;

523. determining a target distance between the ith member and the jth RFID;

524. determining a target range between the ith component and the jth RFID;

525. determining the absolute value of the difference between the target distance and the target distance;

526. determining a target adjustment coefficient corresponding to the difference absolute value;

527. and adjusting the initial weight set according to the target adjustment coefficient to obtain the plurality of weight values.

In a specific implementation, the electronic device may set an influence factor for each of the plurality of association parameters in advance, where the influence factor reflects the degree of the image of the association relationship of the association parameters to a certain extent. The electronic device may obtain an influence factor corresponding to each of the plurality of association parameters to obtain a plurality of influence factors, and the larger the influence factor is, the larger the corresponding weight value is, and then may determine an initial weight set corresponding to the plurality of association parameters according to the plurality of influence factors, where the initial weight value includes a plurality of weight values, and each association parameter corresponds to one weight value.

Further, the electronic device may determine a target distance between the ith member and the jth RFID, which may be understood as a distance between at least one coordinate position of the ith member and the jth RFID, or may be understood as a distance between the ith member and a member corresponding to the jth RFID. Further, the electronic device may determine a target distance between the ith component and the jth RFID, where the target distance may be understood as a length of the navigation route, and may further determine an absolute value of a difference between the target distance and the target distance, a mapping relationship between a numerical value and an adjustment coefficient may be stored in the electronic device in advance, and further may determine a target adjustment coefficient corresponding to the absolute value of the difference according to the mapping relationship, where the target adjustment coefficient may be set to-1 to 1, for example, -0.3 to 0.3, and finally, the initial weight set may be adjusted according to the target adjustment coefficient to obtain a plurality of weight values, for example, the adjusted weight value is (1+ target adjustment coefficient) and is before adjustment.

Further optionally, after the step 105, the following steps may be further included:

a1, determining a main association relation of the association relation, wherein the main association relation is an association relation between a p component and a q RFID, the p component is one component in the target component set, and the q RFID is one RFID in the RFID set;

a2, acquiring a first association relation between the members in the target member set except the p member and the q RFID;

a3, acquiring a second association relation between the p member and the RFID except the q RFID in the RFID set;

and A4, taking the first incidence relation and the second incidence relation as a secondary incidence relation.

In a specific implementation, in the embodiment of the present application, a primary association relationship and a secondary association relationship may also be set according to the association relationship in step 105, and specifically, the electronic device may determine the primary association relationship of the association relationship, where the primary association relationship is an association relationship between a p-th component and a q-th RFID, the p-th component is one component in a target component set, and the q-th RFID is one RFID in the RFID set, where the p-th component and the q-th RFID may be set by a user or may be determined according to an importance level.

Further, the electronic device can acquire a first incidence relation between the target component set and the q-th RFID except the p-th component, acquire a second incidence relation between the p-th component and the RFID except the q-th RFID in the RFID set, and take the first incidence relation and the second incidence relation as an auxiliary incidence relation, so that a main incidence relation and an auxiliary incidence relation can be obtained, and the BIM can be deeply identified by a user according to the main incidence relation and the auxiliary incidence relation, so that the layout of the building drawing is clearer, and the project management efficiency is improved.

Further optionally, before the step 101, the following steps may be further included:

b1, acquiring target identity information of the target object;

b2, matching the target identity information with preset identity information;

b3, when the target identity information is successfully matched with the preset identity information, the step of analyzing the BIM model to obtain a target component set is executed.

The preset identity information may be at least one of the following: face images, fingerprint images, voiceprint information, brain wave information, iris images, vein images, character strings, touch parameters, and the like, which are not limited herein.

In a specific implementation, the electronic device may obtain target identity information of the target object, then match the target identity information with preset identity information, and execute step 101 when the target identity information is successfully matched with the preset identity information, otherwise, prompt the user to perform authentication again.

Further optionally, when the target identity information is a target face image and the preset identity information is a preset face template;

in the step B2, matching the target identity information with the preset identity information may include the following steps:

b21, extracting the contour of the target face image to obtain a contour image;

b22, extracting characteristic points of the contour image to obtain a characteristic point distribution map;

b23, dividing the characteristic point distribution graph into a plurality of regions, wherein the area of each region is larger than a preset threshold value;

b24, determining the distribution density of the characteristic points of each area in the plurality of areas to obtain a plurality of distribution densities of the characteristic points;

b25, selecting a maximum value from the distribution densities of the plurality of feature points, and acquiring a target area face image corresponding to the maximum value from the target face image;

b26, acquiring a target image quality evaluation value corresponding to the target region face image and a target region area of the target region face image;

b27, determining a threshold adjustment parameter and a target weight value pair corresponding to the target image quality evaluation value, wherein the target weight value pair comprises a first weight and a second weight, the first weight is a weight corresponding to contour matching, and the second weight is a weight corresponding to feature point matching;

b28, acquiring the target face area of the target face image;

b29, adjusting a preset face recognition threshold according to the threshold adjustment parameter, the target area and the target face area to obtain a target face recognition threshold;

b210, acquiring a first contour set and a first feature point set of the face image of the target area;

b211, acquiring a second contour set and a second feature point set corresponding to the preset face template;

b212, matching the first contour set with the second contour set to obtain a first matching value;

b213, matching the first characteristic point set with the second characteristic point set to obtain a second matching value;

b214, carrying out weighting operation according to the first matching value, the second matching value, the first weight and the second weight to obtain a target matching value;

and B215, when the target matching value is larger than the target face recognition threshold value, determining that the target identity information is successfully matched with the preset identity information.

In specific implementation, the electronic device may perform contour extraction on the target face image to obtain a contour image, and the specifically related contour extraction algorithm may be at least one of the following: hough transform, canny operator, sobel operator, prewitt operator, etc., without limitation. Furthermore, feature point extraction can be performed on the contour image to obtain a feature point distribution map, and the specific feature point extraction algorithm can be at least one of the following algorithms: harris corner detection, Scale Invariant Feature Transform (SIFT), laplace transform, wavelet transform, contourlet transform, shear wave transform, and the like, without limitation. The electronic device may divide the feature point distribution map into a plurality of regions, and an area of each region is greater than a preset threshold, where the preset threshold may be set by a user or default by a system.

Furthermore, the electronic device may determine a distribution density of feature points in each of the plurality of regions to obtain a plurality of distribution densities of the feature points, where the distribution density of the feature points is equal to a total number of feature points per region area of each region, the electronic device may select a maximum value from the plurality of distribution densities of the feature points, and obtain a face image of the target region corresponding to the maximum value from the face image of the target, and thus, the selected region has a large number of feature points and a clear contour, which is beneficial to improving the accuracy of subsequent face recognition.

Further, the electronic device may acquire a target image quality evaluation value corresponding to the target region face image and a target region area of the target region face image, and in a specific implementation, the electronic device may perform image quality evaluation on the target region face image by using at least one image quality evaluation index to obtain at least one image quality evaluation value, and perform weighting operation according to the at least one image quality evaluation value to obtain the target image quality evaluation value, where the image quality evaluation index may be at least one of: sharpness, edge preservation, contrast, entropy, average gradient, etc., and are not limited herein.

The electronic device may pre-store a mapping relationship between the image quality evaluation value and the adjustment parameter, where a value range of the adjustment parameter is a range value between-1 and 1, for example, a value range may be-0.15 to 0.15, and further, a threshold adjustment parameter corresponding to the target image quality evaluation value may be determined according to the mapping relationship, and the electronic device may also pre-store a mapping relationship between the image quality evaluation value and a weight pair, and a target weight pair, where the target weight pair includes a first weight and a second weight, the first weight is a weight corresponding to contour matching, the second weight is a weight corresponding to feature point matching, and a sum of the first weight and the second weight is less than or equal to 1. Therefore, the dynamic adjustment of the recognition threshold value can be realized, and the follow-up face recognition efficiency is improved.

Further, the electronic device may obtain a target face area of the target face image, and adjust the preset face recognition threshold according to the threshold adjustment parameter, the target area, and the target face area to obtain the target face recognition threshold, where the preset face recognition threshold may be set by a user or default by a system, and a specific calculation formula of the target face recognition threshold is as follows:

target face recognition threshold (1+ threshold adjustment parameter) — preset face recognition threshold (target area/target face area)

Furthermore, the electronic device may obtain a first contour set and a first feature point set of the face image of the target area, obtain a second contour set and a second feature point set corresponding to the preset face template, match the first contour set with the second contour set to obtain a first matching value, match the first feature point set with the second feature point set to obtain a second matching value, and perform weighting operation according to the first matching value, the second matching value, the first weight, and the second weight to obtain a target matching value, which is specifically as follows:

the target matching value is the first matching value + the first weight value + the second matching value + the second weight value

And finally, when the target matching value is larger than the target face recognition threshold value, determining that the target identity information is successfully matched with the preset identity information, otherwise, determining that the target identity information is unsuccessfully matched with the preset identity information.

Further, in a possible example, in step B212, matching the first contour set with the second contour set to obtain a first matching value, may include the following steps:

b2121, performing binarization processing on the first contour set to obtain a binarized first contour set;

b2122, dividing the binarization first contour set into a plurality of areas;

b2123, extracting feature points of the binarized first contour set to obtain a plurality of feature points;

b2124, determining the feature point distribution density corresponding to each of the plurality of regions according to the plurality of feature points to obtain a plurality of feature point distribution densities;

b2125, determining a target mean square error according to the distribution densities of the plurality of feature points;

b2126, determining a reference image quality evaluation value corresponding to the target mean square error according to a mapping relation between a preset mean square error and an image quality evaluation value;

b2127, when the reference image quality evaluation value is smaller than the preset image quality evaluation value, performing image enhancement processing on the first contour, and matching the first contour set and the second contour set after the image enhancement processing to obtain a first matching value.

The preset image quality evaluation values can be set by the user or default by the system.

In specific implementation, the electronic device may perform binarization processing on the first contour set to obtain a binarized first contour set, divide the binarized first contour set into a plurality of regions, and perform feature point extraction on the binarized first contour set to obtain a plurality of feature points, where the feature point extraction algorithm may refer to the above description, and is not limited herein.

Further, in the embodiment of the present application, the areas of the plurality of regions may be equal or different, the electronic device may determine a feature point distribution density corresponding to each of the plurality of regions according to the plurality of feature points, to obtain a plurality of feature point distribution densities, where a feature point distribution density is a total number of feature points in a region/an area of the region, and may determine a target mean square error according to the plurality of feature point distribution densities, and a mean square error calculation formula may be implemented, where a mapping relationship between a preset mean square error and an image quality evaluation value may be stored in advance, and a reference image quality evaluation value corresponding to the target mean square error may be determined according to the mapping relationship between the preset mean square error and the image quality evaluation value, and when the reference image quality evaluation value is greater than or equal to the preset image quality evaluation value, the first contour set is directly matched with the second contour set. Further, when the reference image quality evaluation value is smaller than the preset image quality evaluation value, the first contour may be subjected to image enhancement processing, and the first contour set and the second contour set after the image enhancement processing are matched to obtain a first matching value. In this embodiment of the present application, the corresponding algorithm of the image enhancement processing may be at least one of the following: laplacian, histogram equalization, Gamma algorithm, LOG algorithm, etc., without limitation.

For example, in the embodiment of the present application, an electronic device is taken as an example of a cloud server, and information management and a structured data storage manner may be combined to implement hierarchical management of fabricated building information, which is specifically as follows: the BIM model is uploaded to a cloud server for analysis, data in the model is stored in a structured data mode, namely geometric information, coordinate information, material information, attribute information and the like in the model are extracted, the structured data based on the most basic unit is stored, and any component (with a unique ID) in the model corresponds to a group of identification information.

Further, the assembly type building information contained in the RFID can be used as identification information to be associated with the corresponding ID component in a scene-based and hierarchical mode. And realizing information management of different components in the prefabricated building according to the relevance.

Furthermore, the identification information can be classified according to different scenes and different importance levels, and the association degree can be different. For example, a main message may be set, and other related messages may be associated with the main message. To implement a hierarchical information management scheme.

In summary, the cloud server analyzes the BIM model and stores the structured data, and based on such a mode basis, the RFID information is used as a part of the structural data attribute identifier of the component, and is associated with the corresponding component, and meanwhile, hierarchical management of the information is realized according to different application scenarios and different importance levels.

It can be seen that, in the building project management method described in this embodiment of the application, a BIM model is analyzed to obtain a target component set, the target component set includes a plurality of components, each component corresponds to one part of a BIM, the BIM model is a model corresponding to a building drawing, an RFID in the BIM model is obtained to obtain an RFID set, the RFID set includes a plurality of RFIDs, each RFID corresponds to a unique position in the BIM, first attribute information of each component in the target component set is obtained to obtain a first attribute information set, second attribute information of each RFID in the RFID set is obtained to obtain a second attribute information set, and an association relationship between the component in the target construction set and the RFID in the RFID set is established according to the first attribute information set and the second attribute information set, so that an association between the RFID and the component can be established, which is helpful for improving project management efficiency.

Referring to fig. 2, fig. 2 is a schematic flow chart of a building project management method according to an embodiment of the present application, and as shown in the figure, the building project management method is applied to an electronic device, and includes:

201. analyzing the BIM model to obtain a target component set, wherein the target component set comprises a plurality of components, each component corresponds to one part of the BIM, and the BIM model is a model corresponding to a construction drawing.

202. And acquiring the RFID in the BIM model to obtain an RFID set, wherein the RFID set comprises a plurality of RFID, and each RFID corresponds to a unique position in the BIM.

203. And acquiring first attribute information of each component in the target component set to obtain a first attribute information set.

204. And acquiring second attribute information of each RFID in the RFID set to obtain a second attribute information set.

205. And establishing an incidence relation between the members in the target construction set and the RFID in the RFID set according to the first attribute information set and the second attribute information set.

206. And determining a main association relationship of the association relationship, wherein the main association relationship is an association relationship between a p-th component and a q-th RFID, the p-th component is one component in the target component set, and the q-th RFID is one RFID in the RFID set.

207. Acquiring a first association relation between the members in the target member set except the p-th member and the q-th RFID.

208. Acquiring a second association relation between the p member and the RFID except the q RFID in the RFID set.

209. And taking the first incidence relation and the second incidence relation as a secondary incidence relation.

The specific description of the steps 201 to 209 may refer to the corresponding steps of the building project management method described in fig. 1, and will not be described herein again.

It can be seen that the building project management method described in the embodiment of the present application is applied to electronic devices, and on one hand, the method can establish the association between the RFID and the member, which is helpful for improving project management efficiency, and on the other hand, the method can also split the primary association relationship and the secondary association relationship, thereby deepening the hierarchical sense between different association relationships.

In accordance with the foregoing embodiments, please refer to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in the drawing, the electronic device includes 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 in an embodiment of the present application, the programs include instructions for performing the following steps:

It can be seen that, in the electronic device described in this embodiment of the present application, a BIM model is analyzed to obtain a target component set, where the target component set includes a plurality of components, each component corresponds to one part of a BIM, the BIM model is a model corresponding to a building drawing, an RFID in the BIM model is obtained to obtain an RFID set, the RFID set includes a plurality of RFIDs, each RFID corresponds to a unique position in the BIM, first attribute information of each component in the target component set is obtained to obtain a first attribute information set, second attribute information of each RFID in the RFID set is obtained to obtain a second attribute information set, and an association relationship between the component in the target construction set and the RFID in the RFID set is established according to the first attribute information set and the second attribute information set, so that an association between the RFID and the component can be established, which is helpful for improving project management efficiency.

Optionally, in the analyzing the BIM model to obtain the target component set, the program includes instructions for performing the following steps:

acquiring a component identification set in the BIM model;

and analyzing the BIM model according to the component identification set to obtain the target component set.

Optionally, in said establishing an association between a component in the object build set and an RFID in the RFID set according to the first attribute information set and the second attribute information set, the program comprises instructions for:

determining a plurality of associated parameters between an ith component and a jth RFID according to first attribute information i and second attribute information j, wherein the first attribute information i is the attribute information of the ith component, and the second attribute information j is the attribute information of the jth RFID;

obtaining a weight value corresponding to each of the plurality of associated parameters to obtain a plurality of weight values;

performing weighting operation according to the plurality of association parameters and the plurality of weight values to obtain a target association degree;

determining a target association level corresponding to the target association degree according to a preset mapping relation between the association degree and the association level;

and taking the target association grade as the association relation between the ith component and the jth RFID.

Optionally, in the obtaining a weight value corresponding to each of the plurality of associated parameters to obtain a plurality of weight values, the program includes instructions for:

obtaining an influence factor corresponding to each correlation parameter in the plurality of correlation parameters to obtain a plurality of influence factors;

determining an initial weight set corresponding to the plurality of correlation parameters according to the plurality of influence factors;

determining a target distance between the ith member and the jth RFID;

determining a target range between the ith component and the jth RFID;

determining the absolute value of the difference between the target distance and the target distance;

determining a target adjustment coefficient corresponding to the difference absolute value;

and adjusting the initial weight set according to the target adjustment coefficient to obtain the plurality of weight values.

Optionally, the program further comprises instructions for performing the steps of:

determining a main association relationship of the association relationship, wherein the main association relationship is an association relationship between a p-th component and a q-th RFID, the p-th component is one component in the target component set, and the q-th RFID is one RFID in the RFID set;

acquiring a first association relation between the members in the target member set except the p member and the q RFID;

acquiring a second association relation between the p member and the RFID except the q RFID in the RFID set;

and taking the first incidence relation and the second incidence relation as a secondary incidence relation.

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 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 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. 4A is a block diagram showing functional units of the construction item management apparatus 400 according to the embodiment of the present application. The building project management apparatus 400 is applied to an electronic device, and the apparatus 400 includes: parsing unit 401, obtaining unit 402, and establishing unit 403, wherein,

the analysis unit 401 is configured to analyze a BIM model to obtain a target component set, where the target component set includes a plurality of components, each component corresponds to one part of the BIM, and the BIM model is a model corresponding to a building drawing;

the obtaining unit 402 is configured to obtain RFIDs in the BIM model to obtain an RFID set, where the RFID set includes a plurality of RFIDs, and each RFID corresponds to a unique location in the BIM;

the obtaining unit 402 is further configured to obtain first attribute information of each component in the target component set, so as to obtain a first attribute information set;

the obtaining unit 402 is further configured to obtain second attribute information of each RFID in the RFID set, so as to obtain a second attribute information set;

the establishing unit 403 is configured to establish an association relationship between the members in the target building set and the RFIDs in the RFID set according to the first attribute information set and the second attribute information set.

It can be seen that the construction project management apparatus described in the embodiments of the present application, applied to electronic devices, analyzing the BIM model to obtain a target component set, wherein the target component set comprises a plurality of components, each component corresponds to one part of the BIM, the BIM model is a model corresponding to a construction drawing, the RFID in the BIM model is obtained to obtain an RFID set, the RFID set comprises a plurality of RFID, each RFID corresponds to a unique position in the BIM, first attribute information of each component in the target component set is obtained to obtain a first attribute information set, second attribute information of each RFID in the RFID set is obtained to obtain a second attribute information set, and the association relationship between the components in the target construction set and the RFID in the RFID set is established according to the first attribute information set and the second attribute information set, thus, the relevance between the RFID and the component can be established, and the project management efficiency is improved.

Optionally, in analyzing the BIM model to obtain the target component set, the analyzing unit 401 is specifically configured to:

acquiring a component identification set in the BIM model;

Optionally, in the aspect of establishing an association relationship between the members in the target building set and the RFIDs in the RFID set according to the first attribute information set and the second attribute information set, the establishing unit 403 is specifically configured to:

Optionally, in the aspect of obtaining a weight value corresponding to each of the plurality of associated parameters to obtain a plurality of weight values, the establishing unit 403 is specifically configured to:

determining a target distance between the ith member and the jth RFID;

determining a target range between the ith component and the jth RFID;

Alternatively, as shown in fig. 4B, fig. 4B is a further modified structure of the construction project management apparatus 400 shown in fig. 4A, which may further include, compared with fig. 4A: the determining unit 404 is specifically as follows:

the determining unit 404 is configured to determine a main association relationship of the association relationships, where the main association relationship is an association relationship between a p-th component and a q-th RFID, the p-th component is one component in the target component set, and the q-th RFID is one RFID in the RFID set;

the obtaining unit 401 is further configured to obtain a first association relationship between members in the target member set other than the p-th member and the q-th RFID;

the obtaining unit 401 is further configured to obtain a second association relationship between the p-th member and the RFIDs in the set of RFIDs other than the q-th RFID;

the determining unit 404 is further configured to use the first association relationship and the second association relationship as a secondary association relationship.

It can be understood that the functions of the program modules of the building project management apparatus in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which 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

1. A building project management method applied to an electronic device, the method comprising:

2. The method of claim 1, wherein analyzing the BIM model to obtain a set of target components comprises:

acquiring a component identification set in the BIM model;

3. The method of claim 1 or 2, wherein said establishing an association between components in the target build set and the RFIDs in the RFID set according to the first set of attribute information and the second set of attribute information comprises:

4. The method of claim 3, wherein obtaining the weight value corresponding to each of the plurality of associated parameters to obtain a plurality of weight values comprises:

determining a target distance between the ith member and the jth RFID;

determining a target range between the ith component and the jth RFID;

5. The method according to any one of claims 1-4, further comprising:

6. A building project management apparatus applied to an electronic device, the apparatus comprising: an analyzing unit, an obtaining unit and a establishing unit, wherein,

7. The apparatus according to claim 6, wherein, in the analyzing the BIM model to obtain the target component set, the analyzing unit is specifically configured to:

acquiring a component identification set in the BIM model;

8. The apparatus according to claim 6 or 7, wherein in said establishing an association between a component in the target build set and an RFID in the RFID set from the first attribute information set and the second attribute information set, the establishing unit is specifically configured to:

9. An electronic device comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.

10. A computer-readable 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 one of claims 1-5.