CN116069834A - BIM technology-based enterprise data visual management method - Google Patents

BIM technology-based enterprise data visual management method Download PDF

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CN116069834A
CN116069834A CN202310211047.1A CN202310211047A CN116069834A CN 116069834 A CN116069834 A CN 116069834A CN 202310211047 A CN202310211047 A CN 202310211047A CN 116069834 A CN116069834 A CN 116069834A
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沈志良
丁军鹏
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Abstract

The invention provides an enterprise data visualization management method based on BIM technology, which comprises the following steps: obtaining a high-precision model based on a BIM technology; classifying and mapping label information by using a hierarchical analysis method based on the high-precision model; acquiring service scheduling request information; responding to the service scheduling request information, and generating a permission instruction if permission identity verification is passed; and responding to the permission instruction, extracting position information from the high-precision model, and extracting corresponding enterprise data according to the position information to perform visual management. The invention fuses the high-precision model with the enterprise data, further perfects the high-precision model data, improves the use efficiency of BIM data information, solves the problems of independence among data, abstract property of the model, fault existence of the data and the like, and is convenient for realizing the maximum utilization of enterprise resources and the interactive sharing of the enterprise information.

Description

BIM technology-based enterprise data visual management method
Technical Field
The invention relates to the technical field of data processing, in particular to an enterprise data visualization management method based on BIM technology.
Background
With the high-speed development of internet technology, the emerging technologies represented by cloud computing, big data, internet of things and artificial intelligence are pushing enterprises to manage and change greatly, engineering enterprises gradually develop to lean, service, intelligent and synergistic, and the requirements on production capacity, innovation capacity, fine operation capacity and globalization strategy management and control capacity in terms of products and services are increasingly increased.
Under the increasingly strong, complex and changeable internal and external environments, enterprises need to perform cost analysis timely and effectively to discover problems as soon as possible so as to reasonably control the operation cost in order to realize healthy and stable development and obtain expected benefits. At present, the implementation cost analysis of the project department of China is generally as follows: the monthly cost analysis or the fractional cost analysis is performed by relying on the cost analysis conditions provided by the accounting cost. The traditional cost analysis method is difficult to adapt to advanced cost management requirements due to time lag, insufficient analysis depth and the like.
Disclosure of Invention
The present invention is directed to a method for visual management of enterprise data based on BIM technology, so as to improve the above-mentioned problems. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
the application provides an enterprise data visualization management method based on BIM technology, which comprises the following steps:
obtaining a high-precision model based on a BIM technology, wherein the high-precision model comprises 3D model information and enterprise data which are mapped with each other, the 3D model information is formed by assembling a plurality of local models according to a preset spatial position relation, and each local model at least comprises management and control time information and participant information corresponding to each project; the enterprise data at least comprises supplier information and quality verification unit information corresponding to each item;
classifying and mapping label information by using a hierarchical analysis method based on the high-precision model;
acquiring service scheduling request information, wherein the service scheduling request information is information reflecting that the local model has cost information difference or exceeds an expected time cut-off point with ideal expected implementation in the actual implementation process, and the service scheduling request information also comprises the tag information and authority identity verification information of scheduling service;
responding to the service scheduling request information, and generating a permission instruction if permission identity verification is passed;
and responding to the permission instruction, extracting position information from the high-precision model, and extracting corresponding enterprise data according to the position information to perform visual management.
The beneficial effects of the invention are as follows:
the method and the device fuse the high-precision model with the enterprise data, further perfect the high-precision model data, improve the use efficiency of BIM data information, solve the problems of independence among the data, abstract property of the model, fault existence of the data and the like, facilitate the realization of the maximum utilization of enterprise resources and realize the interactive sharing of the enterprise information. Moreover, in the method, the project implementation cost data and the high-precision model are combined, and abnormal projects are displayed on the high-precision model by different marks such as colors, so that the distribution condition of the abnormal projects is more visual and clear for a manager. In addition, the 3D model information is refined into analysis objects of abnormal items, so that the real-time and refined analysis of abnormal conditions is facilitated, the analysis of abnormal conditions of a local model is facilitated, the response to time-out of construction period or cost deviation is quicker, the subsequent construction period or cost is predicted more quickly, and corresponding corrective measures are adopted.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block diagram of an enterprise data visualization management method based on the BIM technology in this embodiment.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1, fig. 1 is a block diagram of an enterprise data visualization management method based on BIM technology in this embodiment. The method shown in fig. 1 comprises a step S1, a step S2, a step S3, a step S4 and a step S5.
Step S1, a high-precision model is obtained based on a BIM technology, the high-precision model comprises 3D model information and enterprise data which are mapped mutually, the 3D model information is formed by assembling a plurality of local models according to a preset spatial position relation, and each local model at least comprises management and control time information and participant information corresponding to each project; the enterprise data at least comprises provider information and quality verification unit information corresponding to each item.
It can be understood that in this step, based on the BIM technology, all the model information, the function requirements and the item attributes involved in the whole life cycle corresponding to a single item are used as units, and the plurality of items under the enterprise name are subjected to task ordering based on the time-space sequencing order to form a high-precision model.
In detail, the 3D model information construction method includes steps S11, S12, S13, S14, and S15.
And S11, respectively determining a local model corresponding to each project based on the enterprise item management information.
It can be appreciated that in this step, annual summary is performed according to enterprise standing management, and a local model is built by taking one project as one line.
And step S12, determining key management nodes based on the implementation planning route of each local model.
It will be appreciated that in this step, the critical management nodes are determined according to the order in which each project is to be performed and the emphasis point of each task.
And step S13, determining subordinate task branch nodes based on each key management node.
It can be appreciated that in this step, the corresponding task to be allocated branching node is determined according to the key management node.
And step S14, respectively mapping additional information based on each task branch node, wherein the additional information at least comprises a time intercept point of each task branch node.
And step S15, carrying out the sequence of executing the task branch nodes based on the time cut points of all the task branch nodes and the corresponding local models, and obtaining 3D model information.
Further, step S15 includes step S151, step S152, and step S153.
And step S151, inquiring the time intercept point corresponding to each item in the local model in the time intercept points of the task branch nodes to obtain a target time intercept point.
And step S152, determining the priority of the task corresponding to each item in the local model based on the target time intercept point.
And step 153, sequencing tasks corresponding to each item in the local model by using the priority to obtain the 3D model information.
It can be understood that in this step, tasks related to the same department or responsible person before different projects are prioritized according to the sequence of time cut-off points, so that maximum utilization of enterprise resources is facilitated, interactive sharing of enterprise information is realized, and problems of independence, abstract model, fault of data and the like are avoided.
And S2, classifying and mapping label information by using a hierarchical analysis method based on the high-precision model.
It can be understood that in this step, different levels of generalization are performed according to the classification category of each item in the high-precision model, so as to obtain model information of different hierarchical structures, and the same label information is mapped to the model information of the same hierarchical structure, where the label information may be the same color, the same number, and other landmark information. In detail, step S2 includes step S21, step S22, and step S23.
And S21, constructing a project-level, process-level and personnel-level three-level sub-structure model based on the high-precision model.
And S22, based on the three-layer structure model, correspondingly inducing each piece of 3D model information layer by layer to obtain class data of a corresponding layer.
Step S23, setting label information of corresponding levels based on the corresponding levels of each class data, and establishing a mapping relation between the label information and the corresponding local model.
The information of different categories is classified and labeled by the corresponding labels, so that the abnormal information can be rapidly analyzed in the later period, the problem can be rapidly determined, and the problem can be timely solved.
Further, step S22 includes step S221 and step S222.
Step S221, matching the hierarchy corresponding to each piece of 3D model information in the three-layer structure model to obtain a target hierarchy.
And step S222, based on the target level, carrying out information classification on each piece of 3D model information to obtain class data of a corresponding level.
And S3, acquiring service scheduling request information, wherein the service scheduling request information is information reflecting that the local model is different from ideal expected implementation in the actual implementation process or exceeds an expected time intercept point, and the service scheduling request information also comprises the tag information and authority identity verification information of scheduling service.
It can be understood that in this step, the budget cost corresponding to each local model in the BIM technology is different from the entity cost corresponding to the actual real-time process, or the actual completion date exceeds the preset time set by each local model, and service scheduling request information is sent to the management platform system. Regular inspection is performed based on the mode, so that an enterprise can effectively discover problems in time and reasonably control cost, and the method is suitable for the refined and instant requirements of enterprise management and control.
Further, the method for calculating the cost information includes step S31, step S32 and step S
And step S33.
And S31, calculating consumption data based on the control time information and the participant information corresponding to each task branch node, wherein the consumption data comprises time-consuming data and personnel data.
And step S32, calculating based on the time-consuming data and the man-made data to obtain project cost data.
It will be appreciated that in this step, project cost data calculations are performed based on the unit time payroll, the person data, and the time elapsed for each person.
And step S33, calculating based on all the project cost data in the local model to obtain cost information.
Further, the method for obtaining cost information based on all the project cost data in the local model includes steps S331 and S332.
Step S331, calculating the cost of the key management node corresponding to the project cost data by using the following formula to obtain the cost of the key management node:
Figure SMS_1
wherein ,
Figure SMS_2
representing the critical management node cost, +.>
Figure SMS_3
Representing the project cost data, i representing the serial number of the project cost data, +.>
Figure SMS_4
Representing the total number of project cost data.
Step S332, calculating the cost corresponding to the cost of the key management node by using the following formula, to obtain the cost information:
Figure SMS_5
wherein ,
Figure SMS_6
representing the cost information->
Figure SMS_7
Representing the cost of the key management node, j representing the serial number of the cost of the key management node,/-a->
Figure SMS_8
Representing the total number of key management node costs.
It can be understood that in this step, the cost corresponding to the key management node is obtained according to the sum of the cost data of all the projects calculated according to all the task branch nodes corresponding to the key management node, and then the cost information is obtained according to the sum of the costs corresponding to all the key management nodes corresponding to the local model.
And step S4, responding to the service scheduling request information, and generating an authority instruction if the authority identity verification is passed.
The generation method of the authority instruction includes step S41, step S42, step S43 and step S44.
And S41, acquiring authority authentication information of the scheduling service in the service scheduling request information.
Step S42, inquiring the access identity information of the current access user.
Step S43, identify the identity authority corresponding to the access identity information in the authority identity verification information.
And step S44, generating the permission instruction when the identity permission accords with the permission passing the permission authentication.
It can be understood that in this step, after receiving the service scheduling request information, the management platform system performs verification based on the authority identity verification information of the scheduling service in the service scheduling request information, verifies whether the current access user has the corresponding authority, and generates the authority instruction if the verification is passed.
And S5, responding to the permission instruction, extracting position information from the high-precision model, and extracting corresponding enterprise data according to the position information to perform visual management.
It can be understood that in this step, the client side extracts project information, i.e. corresponding position information, with a difference in cost or exceeding a preset period, from the high-precision model based on the authority instruction issued by the management platform system. And then, extracting corresponding enterprise data such as provider information, quality verification unit information and the like based on the position information for visual display, and analyzing and rapidly finding out reasons for exceeding the budget of cost or exceeding the construction period based on all the related information.
Further, step S5 includes step S51, step S52, step S53, and step S54.
And step S51, screening based on the service scheduling request information in the authority instruction to obtain target primitive information.
It can be understood that in this step, the screening is performed based on the service scheduling service request information in the authority instruction, and the local models with cost differences or construction period delays are screened out, so as to obtain the target primitive information.
And step S52, screening based on the target primitive information and the tag information in the authority instruction to obtain abnormal item information.
It can be understood that in this step, the target primitive information is screened according to the label information in the authority instruction, and the specific task node with the problem is screened out, so that the abnormal item information is obtained and is displayed in the high-precision model in the different colors.
And step S53, determining the corresponding enterprise data based on the mapping relation corresponding to the abnormal item information.
It can be understood that in this step, corresponding enterprise data is determined according to the mapping relationship corresponding to the abnormal project information, and the enterprise data such as the provider information, the quality verification unit information and the like are visually displayed, so that analysis is facilitated, and the reasons for the cost exceeding budget or the construction period exceeding are quickly found.
And step S54, performing visual management on the enterprise data.
Further, step S54 includes step S541, step S542, and step S543.
Step S541, defining a visualization relationship between all enterprise data in the enterprise data.
And step S542, based on the visual relationship, performing data annotation on the enterprise data to obtain annotation data.
And S543, performing visual display on the labeling data to obtain the enterprise data with good visual management.
In summary, the method and the device integrate the high-precision model with the enterprise data, further perfect the high-precision model data, improve the use efficiency of BIM data information, solve the problems of independence among data, abstract model, fault existence of data and the like, and facilitate the realization of the maximum utilization of enterprise resources and the realization of interactive sharing of enterprise information. In addition, the 3D model information is thinned to analyze objects of abnormal items, so that the real-time and fine analysis of abnormal conditions is facilitated, and the analysis of abnormal conditions of the local model is facilitated.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims (10)

1. The visual management method of enterprise data based on BIM technology is characterized by comprising the following steps:
obtaining a high-precision model based on a BIM technology, wherein the high-precision model comprises 3D model information and enterprise data which are mapped with each other, the 3D model information is formed by assembling a plurality of local models according to a preset spatial position relation, and each local model at least comprises management and control time information and participant information corresponding to each project; the enterprise data at least comprises supplier information and quality verification unit information corresponding to each item;
classifying and mapping label information by using a hierarchical analysis method based on the high-precision model;
acquiring service scheduling request information, wherein the service scheduling request information is information reflecting that the local model has cost information difference or exceeds an expected time cut-off point with ideal expected implementation in the actual implementation process, and the service scheduling request information also comprises the tag information and authority identity verification information of scheduling service;
responding to the service scheduling request information, and generating a permission instruction if permission identity verification is passed;
and responding to the permission instruction, extracting position information from the high-precision model, and extracting corresponding enterprise data according to the position information to perform visual management.
2. The enterprise data visualization management method of claim 1, wherein the 3D model information construction method comprises:
determining a local model corresponding to each project based on enterprise standing management information;
determining a key management node based on the implementation planning route of each local model;
determining a subordinate task branch node based on each key management node;
mapping additional information based on each task branch node respectively, wherein the additional information at least comprises a time intercept point of each task branch node;
and carrying out the sequence of executing the task branch nodes based on the time cut-off points of all the task branch nodes and the corresponding local models to obtain 3D model information.
3. The method for visualizing and managing enterprise data according to claim 2, wherein the method for obtaining 3D model information based on the order in which the task branch nodes are executed sequentially by all the time cut-off points of the task branch nodes and the corresponding local models comprises:
inquiring a time intercept point corresponding to each item in the local model in the time intercept points of the task branch nodes to obtain a target time intercept point;
determining the priority of a task corresponding to each item in the local model based on the target time intercept point;
and sequencing tasks corresponding to each item in the local model by utilizing the priority to obtain the 3D model information.
4. The enterprise data visualization management method of claim 1, wherein classifying and mapping tag information using analytic hierarchy process based on the high precision model comprises:
constructing a project-level, process-level and personnel-level three-level hierarchical structure model based on the high-precision model;
based on the three-layer structure model, correspondingly inducing each piece of 3D model information layer by layer to obtain class data of a corresponding layer;
and setting label information of corresponding levels based on the hierarchy corresponding to each class data, and establishing a mapping relation between the label information and the corresponding local model.
5. The method for visualizing and managing enterprise data according to claim 1, wherein the method for correspondingly generalizing each 3D model information layer by layer based on the three-layer hierarchical model to obtain class data of a corresponding layer comprises:
matching the hierarchy corresponding to each piece of 3D model information in the three-layered structure model to obtain a target hierarchy;
and based on the target level, carrying out information classification on each piece of 3D model information to obtain class data of the corresponding level.
6. The enterprise data visualization management method of claim 1, wherein the cost information calculation method comprises:
calculating consumption data based on the control time information and the participant information corresponding to each task branch node, wherein the consumption data comprises time-consuming data and personnel data;
calculating based on the time-consuming data and the person data to obtain project cost data;
and calculating based on all the project cost data in the local model to obtain cost information.
7. The method for visualizing managing enterprise data as set forth in claim 6, wherein the method for computing cost information based on all of the project cost data in the local model comprises:
calculating the cost of the key management node corresponding to the project cost data by using the following formula to obtain the cost of the key management node:
Figure QLYQS_1
wherein ,
Figure QLYQS_2
representing the critical management node cost, +.>
Figure QLYQS_3
Representing the project cost data, i representing the serial number of the project cost data, +.>
Figure QLYQS_4
Representing a total number of the project cost data;
and calculating the cost corresponding to the cost of the key management node by using the following formula to obtain the cost information:
Figure QLYQS_5
wherein ,
Figure QLYQS_6
representing the cost information->
Figure QLYQS_7
Representing the cost of the key management node, j representing the serial number of the cost of the key management node,/-a->
Figure QLYQS_8
Representing the total number of key management node costs.
8. The enterprise data visualization management method of claim 1, wherein the method for generating the entitlement instruction if the entitlement authentication passes in response to the service dispatch request information comprises:
acquiring authority authentication information of scheduling service in the service scheduling request information;
inquiring access identity information of a current access user;
identifying the identity authority corresponding to the access identity information in the authority identity verification information;
and generating the permission instruction when the identity permission accords with the permission passing the permission authentication.
9. The method for visual management of enterprise data according to claim 1, wherein the method for extracting location information from the high-precision model and extracting the corresponding enterprise data for visual management according to the location information in response to the authority instruction comprises:
screening based on the service scheduling request information in the authority instruction to obtain target primitive information;
screening based on the target primitive information and the tag information in the authority instruction to obtain abnormal item information;
determining corresponding enterprise data based on the mapping relation corresponding to the abnormal project information;
and visually managing the enterprise data.
10. The method for visual management of enterprise data as claimed in claim 9, wherein the method for visual management of enterprise data comprises:
defining the visual relationship between all enterprise data in the enterprise data;
based on the visual relationship, carrying out data annotation on the enterprise data to obtain annotation data;
and visually displaying the annotation data to obtain the enterprise data with good visual management.
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