CN116109080B - Building integrated management platform based on BIM and AR - Google Patents
Building integrated management platform based on BIM and AR Download PDFInfo
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- CN116109080B CN116109080B CN202211705290.0A CN202211705290A CN116109080B CN 116109080 B CN116109080 B CN 116109080B CN 202211705290 A CN202211705290 A CN 202211705290A CN 116109080 B CN116109080 B CN 116109080B
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a building integrated management platform based on BIM and AR, which relates to the technical field of building management platforms and is used for solving the problems that in the prior art, a plurality of persons are required in the checking process of a construction site, repeated confirmation is required on drawings, errors exist, repeated working procedures are wasted, time is required in the process, and efficiency is to be improved.
Description
Technical Field
The invention relates to the technical field of building management platforms, in particular to a building integrated management platform based on BIM and AR.
Background
The construction industry is one of the industries with the lowest digitalization degree in the world, the design, construction and construction are closely matched with each participating unit, and the drawing is an indispensable communication tool. Through the drawing, one can imagine the three-dimensional space of the component, and when in field construction, the size, the position and other information of the component can be judged according to the identification of the drawing to finish construction, and often, thousands of pages of drawings can be gathered when one project is built. However, the two-dimensional drawing is limited when expressing the object under the three dimensions, and is easy to generate space misleading, so that the cost is greatly improved due to the occurrence of the mobile equipment such as a mobile phone, a tablet computer and the like, the life of people becomes quicker, and the cloud computing and data flow infrastructure can enable the data of the mobile equipment to be connected in a seamless way. The introduction of radar systems and image algorithms allows mobile devices to scan objects and analyze results with high accuracy, but these applications in the construction industry remain in infancy.
With bim+ar technology, a user can actually see a building in real proportion before construction. By loading the BIM model to the mobile equipment end, virtual walking is performed around the planned red line by using an AR technology to check whether any conflict exists or the modification exists, so that errors are avoided, and each participating party can see the influence caused by any modification in real time.
However, in the prior art, several persons are required to check the construction site, repeated confirmation is required on the drawing, and even if errors exist, some procedures are usually required to be repeated, so that the process is time-consuming and the efficiency is required to be improved.
Disclosure of Invention
The invention aims to solve the problems that in the prior art, a plurality of people are required to repeatedly confirm a construction site inspection process on drawings, errors exist, repeated procedures exist, time is wasted in the process, and efficiency is to be improved, and provides a building integrated management platform based on BIM and AR.
The aim of the invention can be achieved by the following technical scheme:
a building integrated management platform based on BIM and AR comprises a scanning end, a cloud end, a server and an execution module;
the scanning end is used for scanning and checking the problem information of the checking area of the construction site; when a problem is found, generating an abnormal signaling, and sending the obtained problem information group and the abnormal signaling to a cloud end, and transmitting the problem information group and the abnormal signaling to a server from the cloud end; when no problem is found, generating a verification passing signaling, and transmitting the verification passing signaling to a server through a cloud;
the cloud end is used for data connection transmission between the scanning end and the server and is also used for storing the data obtained by the scanning end;
a database and a classification module are arranged in the server; the database is used for receiving the problem information group transmitted by the cloud, abnormal signaling and verification passing signaling and analyzing the problem information group; the database is also stored with a BIM model library capable of being modified and edited; the database also stores a correction personnel information group, wherein the correction personnel information group consists of personnel names, personnel numbers, the number of personnel correction questions, the average time of the personnel correction questions and the average completion degree of the personnel correction;
a problem classification unit and a personnel classification unit are arranged in the classification module; the problem classification unit is used for classifying the problem information groups received in the database, and the classification categories of the problems comprise three categories of low risk level problems, medium risk level problems and high risk level problems;
the personnel classification unit is used for classifying the correction personnel into three categories of low-risk adjustment personnel, medium-risk adjustment personnel and high-risk adjustment personnel;
a review execution unit and a rectification execution unit are arranged in the execution module; the review execution unit is used for receiving the abnormal signaling, utilizing a review person to review the review point, correcting the problem information group with deviation after completing the review, respectively generating a no-change signaling and a review completion signaling when the review does not find the condition of entering and exiting and the condition of deviation after the review, and forming a correction signaling to be sent to the server;
and the rectification execution unit is used for receiving the rectification signaling, judging the risk level of the problem corresponding to the rectification signaling, and respectively generating a low execution flow, a medium execution flow or a high execution flow to be sent to the cloud and executed when the problem belongs to low risk, medium risk or high risk.
Further, the low-execution flow includes the following steps: after the cloud receives the low-performance signaling, the low-performance signaling is transmitted to a handheld AR scanning device of a plurality of correction personnel in a low-risk adaptive personnel category, the plurality of correction personnel receiving the low-performance signaling judge the distance between the current position and a problem area by the AR scanning device, select a nearest distance from the plurality of distances, prompt the correction personnel through the AR scanning device with the nearest distance, and transmit the information for receiving the low-performance signaling to the cloud through the AR scanning device by the correction personnel, wherein the correction personnel which are not prompted by the AR scanning device do not need to execute a correction flow;
the middle execution flow comprises the following steps: after receiving the middle-level execution signaling, the cloud transmits the middle-level execution signaling to a handheld AR scanning device of a plurality of correction personnel in the middle-risk adjustment personnel category, the plurality of correction personnel receiving the middle-level execution signaling judge the distance between the current position and the problem area by the AR scanning device, select a nearest distance from the plurality of distances, prompt the correction personnel through the AR scanning device with the nearest distance, and transmit the information of the receiving middle-level execution flow to the cloud through the AR scanning device by the correction personnel, wherein the correction personnel which are not prompted by the AR scanning device do not need to execute the correction flow;
the high execution flow comprises the following steps: after the cloud receives the high-performance signaling, the high-performance signaling is transmitted to the handheld AR scanning equipment of a plurality of correction personnel in the high-risk adjustment personnel category, the plurality of correction personnel receiving the high-performance signaling judge the distance between the current position and the problem area by the AR scanning equipment, one nearest distance is selected from the plurality of distances, then the correction personnel is prompted through the AR scanning equipment with the nearest distance, and the correction personnel transmits and receives the information of the high-performance flow through the AR scanning equipment to the cloud, wherein the correction personnel which is not prompted by the AR scanning equipment does not need to execute the correction flow.
Furthermore, the scanning end is composed of a plurality of AR scanning devices, wherein the AR scanning devices are tablet computers or smart phones, and the scanning and checking process is to compare the actual construction of the construction site with the BIM model in the database by using the AR scanning devices and the AR technology through an inspector and judge whether deviation exists or not.
Further, the specific operation steps of the problem classification unit for classifying the problem information group are as follows:
analyzing the problem information group to obtain a problem area, a problem type, a problem discovery time, a problem occurrence estimated time, a problem point responsible person and a review recommender; the classification module is also provided with a plurality of area values which respectively correspond to different problem areas, and the problem area obtained after analysis is compared with the plurality of area values to obtain an area value matched with the problem area obtained after analysis; the method comprises the steps of obtaining a type value matched with a problem type obtained after analysis, wherein the type value corresponds to different problem types; the method is also used for calculating a difference value between the problem discovery time obtained after the problem information group is analyzed and the problem occurrence estimated time to obtain an estimated time difference, and calculating three values of the area value, the type value and the estimated time difference to obtain a risk class value of the problem;
the problem classification unit is also provided with a low risk level interval, a medium risk level interval and a high risk level interval, wherein the low risk level interval, the medium risk level interval and the high risk level interval are continuous intervals, the risk level value FX is compared with the three continuous intervals of the low risk level interval, the medium risk level interval and the high risk level interval, the risk level value of the wind problem is judged to be positioned in which interval range, and the risk level of the problem is obtained; and determines the risk level of the plurality of questions in the same manner.
Further, when the review execution unit receives the abnormal signaling, a review process is initiated through the cloud, wherein the review process is as follows: after the execution module receives the abnormal signaling, sending a review signaling to the cloud;
the cloud sends the review signaling to the scanning end;
after receiving the review signaling, a plurality of AR scanning devices positioned at the periphery of the problem area in the plurality of AR scanning devices in the scanning end compare the plurality of AR scanning devices positioned at the periphery of the problem area with a plurality of AR scanning devices selected by a plurality of review recommenders in the problem information group, and when the coincident AR scanning devices are found, the review task is assigned to the recommenders selected by the AR scanning device closest to the problem area in the coincident AR scanning devices;
when no coincident AR scanning equipment exists, assigning a review task to a handheld person of the AR scanning equipment located at the nearest distance from the problem area among a plurality of AR scanning equipment located at the periphery of the problem area;
after the review task is assigned to the inspector of the appointed handheld AR scanning equipment, the inspector analyzes the received problem information group through the AR scanning equipment to obtain a problem area and moves the problem area to an appointed place, and the handheld AR scanning equipment performs secondary scanning on the problem area;
after scanning is completed, the problem area, the problem type, the problem discovery time and the problem occurrence estimated time in the problem information group are sequentially reviewed, and when the problem information group is determined to be error-free after review is completed, a change-free signaling is generated and sent to the server;
when the problem information group is determined to have deviation after the review is completed, a problem point responsible person in the problem information group is contacted to communicate and correct the information in the problem information group with deviation, and then a review completion signaling is generated and sent to the server.
Further, the server is further configured to receive a no-change signaling and a review completion signaling in the review process, when the no-change signaling is received, use a problem information set before review as a processing basis of the problem, generate a correction signaling, send the correction signaling to the execution module through the cloud, when the review completion signaling is received, use the corrected problem information set as a processing basis of the problem, judge a risk level of the problem through the classification module by the corrected problem information set, and generate the correction signaling to send the correction signaling to the execution module through the cloud again.
Furthermore, a correction personnel information group is also arranged in the database, and consists of personnel names, personnel numbers, personnel correction problem quantity, personnel correction problem average time and personnel correction average completion degree, and the personnel names and the personnel numbers of correction personnel are recorded and stored by AR scanning equipment in the scanning end;
the number of the personnel correction questions is increased by the AR scanning equipment after the personnel correction is carried out for one time, the average time of the personnel correction questions is recorded by the AR scanning equipment, two time points of starting correction and finishing correction of the personnel correction questions are recorded by the AR scanning equipment, the difference value of the two time points is calculated to obtain single personnel correction time, and the average value of the multiple times of the personnel correction questions is obtained through calculation; and marking and photographing the area after finishing the correction by using the AR scanning equipment, uploading marked and photographed data to the cloud end by using the AR scanning equipment, scoring the correction of the single personnel by a background evaluation personnel, representing the correction to be larger when the score is higher, and calculating the average value to obtain the average correction value of the personnel.
Further, a low-risk adapting personnel interval, a medium-risk adapting personnel interval and a high-risk adapting personnel interval are arranged in the personnel classification unit, and the low-risk adapting personnel interval, the medium-risk adapting personnel interval and the high-risk adapting personnel interval are one continuous interval;
the personnel classifying unit is also used for analyzing the personnel information groups in the database to respectively obtain personnel names, personnel numbers, personnel correction problem average time and personnel correction average completion degree, calculating the risk adaptation value of the correction personnel by using the three data of the personnel correction problem numbers, the personnel correction problem average time and the personnel correction average completion degree, comparing the obtained risk adaptation value with a continuous interval formed by the low risk adaptation personnel interval, the medium risk adaptation personnel interval and the high risk adaptation personnel interval, judging which interval the risk adaptation value of the modifying person is located, classifying the modifying persons in the same mode, wherein the categories are respectively a low risk adapting person, a medium risk adapting person and a high risk adapting person, and the low risk adapting person, the medium risk adapting person and the high risk adapting person respectively correspond to the low risk adapting person interval, the medium risk adapting person interval and the high risk adapting person interval.
Compared with the prior art, the invention has the beneficial effects that:
(1) According to the invention, through combining BIM with AR, each area of a construction site is flexibly checked, an inspector can accurately compare a BIM model with an actual structure, the AR enables the inspector to take a picture, potential problems are recorded, then the potential problems are integrated into the BIM model, a process is initiated at a cloud end, if the problems are found, corresponding personnel can be assigned to carry out secondary review, correction is assigned again after the secondary review is confirmed without errors, and acceptance is submitted after correction is completed, so that the accuracy is greatly improved, and the time and cost are saved;
(2) According to the invention, when the building integrated management platform performs secondary review on the problem area, the secondary review executive unit can be used for assigning and selecting the optimal secondary review personnel to perform secondary review, so that the efficiency is improved. And when the problem is rectified, the problem of different types can be corresponding to the rectifying personnel of different types according to the classification of the problem and the rectifying personnel, so that the completion efficiency and effect of the problem rectification are improved.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
fig. 1 is a general block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. 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.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present disclosure is for the purpose of describing particular embodiments only, and is not intended to be limiting of the disclosure. As used in the specification and claims of this disclosure, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the term "and/or" as used in the present disclosure and claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As shown in FIG. 1, the building integrated management platform based on BIM and AR comprises a scanning end, a cloud end, a server and an execution module;
the system comprises a scanning end, a cloud end and a database, wherein the scanning end is used for scanning and checking an inspection area of a construction site and consists of a plurality of AR scanning devices, the AR scanning devices can be tablet computers or smart phones, the actual construction of the construction site is compared with a BIM model in the database by an inspector through the AR scanning devices and an AR technology in the scanning and checking process, after the scanning of one point location is completed, when a problem is found, an abnormal signaling is generated, the obtained problem information set and the abnormal signaling are sent to the cloud end, and the cloud end transmits the problem information set and the abnormal signaling to the server; when no problem is found, generating a verification passing signaling, and transmitting the verification passing signaling to a server through a cloud; the problem information set consists of a problem area, a problem type, a problem discovery time, a problem occurrence estimated time, a problem point responsible person and a review recommender;
the cloud end is used for data connection transmission between the scanning end and the server and is also used for storing the data obtained by the scanning end;
a database and a classification module are arranged in the server;
the database is used for receiving the problem information group transmitted by the cloud, abnormal signaling and verification passing signaling and analyzing the problem information group; the database is also stored with a BIM model library capable of being modified and edited;
a problem classification unit and a personnel classification unit are arranged in the classification module;
the problem classification unit is used for classifying the problem information groups received in the database, analyzing the problem information groups to obtain a problem area, a problem type, a problem discovery time, a problem occurrence estimated time, a problem point responsible person and a review recommender; the classification module is also provided with a plurality of area values which respectively correspond to different problem areas, the problem area obtained after analysis is compared with the plurality of area values to obtain an area value matched with the problem area obtained after analysis, and the area value is marked as a; the method comprises the steps of obtaining a type value matched with the problem type obtained after analysis, and calibrating the type value as b; the method is also used for calculating the difference value between the problem discovery time obtained after the problem information group is analyzed and the problem occurrence estimated time to obtain the estimated time difference and calibrating the estimated time difference as t, respectively carrying out normalization processing on the three numerical values of the area value a, the type value b and the estimated time difference t, and substituting the three numerical values into a formula:
obtaining a risk class value FX of the problem, wherein +.>Preset weight coefficient for regional value, +.>Preset weight coefficient for type value, +.>A preset weight coefficient for the predicted time difference; the problem classification unit is also provided with a low risk level interval, a medium risk level interval and a high risk level interval, wherein the low risk level interval, the medium risk level interval and the high risk level interval are continuous intervals, and the risk level value FX is compared with the three continuous intervals of the low risk level interval, the medium risk level interval and the high risk level intervalJudging in which interval range the risk level value FX of the wind problem is located, and obtaining the risk level of the wind problem; judging the risk levels of the problems in the same way;
a review execution unit and a rectification execution unit are arranged in the execution module;
the review execution unit is used for receiving the abnormal signaling, when the abnormal signaling is received, a review process is initiated through the cloud end, and the review process sends the review signaling to the cloud end after the execution module receives the abnormal signaling; the cloud sends the review signaling to the scanning end; after receiving the review signaling, a plurality of AR scanning devices positioned at the periphery of the problem area in the plurality of AR scanning devices in the scanning end compare the plurality of AR scanning devices positioned at the periphery of the problem area with a plurality of AR scanning devices selected by a plurality of review recommenders in the problem information group, and when the coincident AR scanning devices are found, the review task is assigned to the recommenders selected by the AR scanning device closest to the problem area in the coincident AR scanning devices; when no coincident AR scanning equipment exists, assigning a review task to a handheld person of the AR scanning equipment located at the nearest distance from the problem area among a plurality of AR scanning equipment located at the periphery of the problem area; after the review task is assigned to the inspector of the appointed handheld AR scanning equipment, the inspector analyzes the received problem information group through the AR scanning equipment to obtain a problem area and moves the problem area to an appointed place, and the handheld AR scanning equipment performs secondary scanning on the problem area; after scanning is completed, the problem area, the problem type, the problem discovery time and the problem occurrence estimated time in the problem information group are sequentially reviewed, and when the problem information group is determined to be error-free after review is completed, a change-free signaling is generated and sent to the server; when the problem information group is determined to have deviation after the review is completed, a problem point responsible person in the problem information group is contacted to communicate and correct the information in the problem information group with deviation, and then a review completion signaling is generated and sent to a server;
the server is also used for receiving the no-change signaling and the review completion signaling in the review process, when the no-change signaling is received, the problem information set before review is used as a processing basis of the problem, the correction signaling is generated and sent to the execution module again through the cloud, when the review completion signaling is received, the corrected problem information set is used as a processing basis of the problem, the risk level of the problem is judged through the classification module by the corrected problem information set, and the correction signaling is generated and sent to the execution module again through the cloud;
the database is also internally provided with a correction personnel information group, the correction personnel information group consists of personnel names, personnel numbers, personnel correction problem average time and personnel correction average completion degree, and the correction personnel information group is recorded and stored by AR scanning equipment in the scanning end; the number of the personnel correction questions is increased by the AR scanning equipment and calibrated as n after the personnel correction questions are corrected by one time of the problems, the average time of the personnel correction questions is recorded by the AR scanning equipment, two time points of starting correction and finishing correction of the personnel correction questions are corrected, the difference value of the two time points is calculated to obtain the single personnel correction time and calibrated as t, and the multiple times of the problem correction are corrected by using the formula:obtaining personnel correction average time T, wherein n is the number of times of personnel correction of the problem and takes n as a positive integer; the personnel correction completion degree is marked and photographed by the AR scanning equipment, the marked and photographed data are uploaded to the cloud end by the AR scanning equipment, the background evaluation personnel score the single personnel correction completion degree, the higher the score is, the larger the representative completion degree is, the scoring score of the evaluation personnel is marked as f, and the f is substituted into the formula:obtaining a personnel rectifying average completion degree value F;
the personnel classification unit is internally provided with a low-risk adapting personnel interval, a medium-risk adapting personnel interval and a high-risk adapting personnel interval, wherein the low-risk adapting personnel interval, the medium-risk adapting personnel interval and the high-risk adapting personnel interval are one continuous interval; the personnel classification unit is also used for classifying dataAnalyzing the personnel information group in the library to obtain personnel names, personnel numbers, personnel correction problem average time and personnel correction average completion degree, carrying out normalization processing on three numerical values of the personnel correction problem numbers n, the personnel correction problem average time T and the personnel correction average completion degree F, and substituting the numerical values into a formula:obtaining a risk adaptation value SP of an adjustment person, comparing the obtained risk adaptation value SP with a continuous interval formed by a low risk adaptation personnel interval, a medium risk adaptation personnel interval and a high risk adaptation personnel interval, judging which interval the risk adaptation value SP of the adjustment person is located in, classifying a plurality of adjustment persons in the same way, wherein the categories are respectively the low risk adaptation personnel, the medium risk adaptation personnel and the high risk adaptation personnel, and the low risk adaptation personnel, the medium risk adaptation personnel and the high risk adaptation personnel correspond to the low risk adaptation personnel interval, the medium risk adaptation personnel interval and the high risk adaptation personnel interval respectively;
the rectification execution unit is used for receiving the rectification signaling, generating a low-execution signaling and sending the low-execution signaling to the cloud when the received rectification signaling and the corresponding problem are judged to belong to a low risk level, and executing a low-execution flow by the cloud; when the received rectifying and modifying signaling and the corresponding problem is judged to belong to the middle risk grade, generating a middle execution signaling and sending the middle execution signaling to the cloud, and executing a middle execution flow by the cloud; when the received rectifying and modifying signaling and the corresponding problem are judged to belong to a high risk level, generating a high-performance signaling and sending the high-performance signaling to the cloud, and executing a high-performance flow by the cloud;
wherein the low execution flow comprises the following steps: after the cloud receives the low-performance signaling, the low-performance signaling is transmitted to a handheld AR scanning device of a plurality of correction personnel in a low-risk adaptive personnel category, the plurality of correction personnel receiving the low-performance signaling judge the distance between the current position and a problem area by the AR scanning device, select a nearest distance from the plurality of distances, prompt the correction personnel through the AR scanning device with the nearest distance, and transmit the information for receiving the low-performance signaling to the cloud through the AR scanning device by the correction personnel, wherein the correction personnel which are not prompted by the AR scanning device do not need to execute a correction flow;
the middle execution flow comprises the following steps: after receiving the middle-level execution signaling, the cloud transmits the middle-level execution signaling to a handheld AR scanning device of a plurality of correction personnel in the middle-risk adjustment personnel category, the plurality of correction personnel receiving the middle-level execution signaling judge the distance between the current position and the problem area by the AR scanning device, select a nearest distance from the plurality of distances, prompt the correction personnel through the AR scanning device with the nearest distance, and transmit the information of the receiving middle-level execution flow to the cloud through the AR scanning device by the correction personnel, wherein the correction personnel which are not prompted by the AR scanning device do not need to execute the correction flow;
the high execution flow comprises the following steps: after receiving the high-performance signaling, the cloud transmits the high-performance signaling to a handheld AR scanning device of a plurality of correction personnel in a high-risk adaptive personnel category, the plurality of correction personnel receiving the high-performance signaling judge the distance between the current position and a problem area by the AR scanning device, select a nearest distance from the plurality of distances, prompt the correction personnel through the AR scanning device with the nearest distance, and transmit and receive the information of the high-performance flow to the cloud through the AR scanning device by the correction personnel, wherein the correction personnel not prompted by the AR scanning device do not need to execute the correction flow;
the preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The building integrated management platform based on BIM and AR is characterized by comprising a scanning end, a cloud end, a server and an execution module;
the scanning end is used for scanning and checking the problem information of the checking area of the construction site; when a problem is found, generating an abnormal signaling, and sending the obtained problem information group and the abnormal signaling to a cloud end, and transmitting the problem information group and the abnormal signaling to a server from the cloud end; when no problem is found, generating a verification passing signaling, and transmitting the verification passing signaling to a server through a cloud;
the cloud end is used for data connection transmission between the scanning end and the server and is also used for storing the data obtained by the scanning end;
a database and a classification module are arranged in the server; the database is used for receiving the problem information group transmitted by the cloud, abnormal signaling and verification passing signaling and analyzing the problem information group; the database is also stored with a BIM model library capable of being modified and edited; the database also stores a correction personnel information group, wherein the correction personnel information group consists of personnel names, personnel numbers, the number of personnel correction questions, the average time of the personnel correction questions and the average completion degree of the personnel correction;
the server is also used for receiving the no-change signaling and the review completion signaling in the review process, when the no-change signaling is received, the problem information set before review is used as a processing basis of the problem, the correction signaling is generated and sent to the execution module again through the cloud, when the review completion signaling is received, the corrected problem information set is used as a processing basis of the problem, the risk level of the problem is judged through the classification module by the corrected problem information set, and the correction signaling is generated and sent to the execution module again through the cloud;
a problem classification unit and a personnel classification unit are arranged in the classification module; the problem classification unit is used for classifying the problem information groups received in the database, and the classification categories of the problems comprise three categories of low risk level problems, medium risk level problems and high risk level problems;
the personnel classification unit is used for classifying the correction personnel into three categories of low-risk adjustment personnel, medium-risk adjustment personnel and high-risk adjustment personnel;
the personnel classification unit is internally provided with a low-risk adapting personnel interval, a medium-risk adapting personnel interval and a high-risk adapting personnel interval, wherein the low-risk adapting personnel interval, the medium-risk adapting personnel interval and the high-risk adapting personnel interval are one continuous interval;
the personnel classifying unit is further used for analyzing the personnel information groups in the database to respectively obtain personnel names, personnel numbers, personnel correction problem average time and personnel correction average completion degree, and calculating three data of the personnel correction problem numbers, the personnel correction problem average time and the personnel correction average completion degree to obtain risk adaptation values of correction personnel, wherein the specific calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein: SP is the risk adaptation value of the personnel, n, T and F are respectively the number of the personnel rectifying problems, the average time of the personnel rectifying problems and the average completion degree of the personnel rectifying; comparing the obtained risk adaptation value with a continuous interval formed by the low risk adaptation personnel interval, the medium risk adaptation personnel interval and the high risk adaptation personnel interval, judging which interval the risk adaptation value of the adaptation personnel is located in, classifying the plurality of adaptation personnel in the same way, wherein the categories are respectively the low risk adaptation personnel, the medium risk adaptation personnel and the high risk adaptation personnel, and the low risk adaptation personnel, the medium risk adaptation personnel and the high risk adaptation personnel correspond to the low risk adaptation personnel interval, the medium risk adaptation personnel interval and the high risk adaptation personnel interval respectively;
a review execution unit and a rectification execution unit are arranged in the execution module; the review execution unit is used for receiving the abnormal signaling, utilizing a review person to review the review point, correcting the problem information group with deviation after completing the review, respectively generating a no-change signaling and a review completion signaling when the review does not find the condition of entering and exiting and the condition of deviation after the review, and forming a correction signaling to be sent to the server;
when the review execution unit receives the abnormal signaling, a review process is initiated through the cloud, and the review process comprises the following steps:
after the execution module receives the abnormal signaling, sending a review signaling to the cloud;
the cloud sends the review signaling to the scanning end;
after receiving the review signaling, a plurality of AR scanning devices positioned at the periphery of the problem area in the plurality of AR scanning devices in the scanning end compare the plurality of AR scanning devices positioned at the periphery of the problem area with a plurality of AR scanning devices selected by a plurality of review recommenders in the problem information group, and when the coincident AR scanning devices are found, the review task is assigned to the recommenders selected by the AR scanning device closest to the problem area in the coincident AR scanning devices;
when no coincident AR scanning equipment exists, assigning a review task to a handheld person of the AR scanning equipment located at the nearest distance from the problem area among a plurality of AR scanning equipment located at the periphery of the problem area;
after the review task is assigned to the inspector of the appointed handheld AR scanning equipment, the inspector analyzes the received problem information group through the AR scanning equipment to obtain a problem area and moves the problem area to an appointed place, and the handheld AR scanning equipment performs secondary scanning on the problem area;
after scanning is completed, the problem area, the problem type, the problem discovery time and the problem occurrence estimated time in the problem information group are sequentially reviewed, and when the problem information group is determined to be error-free after review is completed, a change-free signaling is generated and sent to the server;
when the problem information group is determined to have deviation after the review is completed, a problem point responsible person in the problem information group is contacted to communicate and correct the information in the problem information group with deviation, and then a review completion signaling is generated and sent to a server;
and the rectification execution unit is used for receiving the rectification signaling, judging the risk level of the problem corresponding to the rectification signaling, and respectively generating a low execution flow, a medium execution flow or a high execution flow to be sent to the cloud and executed when the problem belongs to low risk, medium risk or high risk.
2. The building integrated management platform based on BIM and AR according to claim 1, wherein the low-performing procedure includes the steps of: after the cloud receives the low-performance signaling, the low-performance signaling is transmitted to a handheld AR scanning device of a plurality of correction personnel in a low-risk adaptive personnel category, the plurality of correction personnel receiving the low-performance signaling judge the distance between the current position and a problem area by the AR scanning device, select a nearest distance from the plurality of distances, prompt the correction personnel through the AR scanning device with the nearest distance, and transmit the information for receiving the low-performance signaling to the cloud through the AR scanning device by the correction personnel, wherein the correction personnel which are not prompted by the AR scanning device do not need to execute a correction flow;
the middle execution flow comprises the following steps: after receiving the middle-level execution signaling, the cloud transmits the middle-level execution signaling to a handheld AR scanning device of a plurality of correction personnel in the middle-risk adjustment personnel category, the plurality of correction personnel receiving the middle-level execution signaling judge the distance between the current position and the problem area by the AR scanning device, select a nearest distance from the plurality of distances, prompt the correction personnel through the AR scanning device with the nearest distance, and transmit the information of the receiving middle-level execution flow to the cloud through the AR scanning device by the correction personnel, wherein the correction personnel which are not prompted by the AR scanning device do not need to execute the correction flow;
the high execution flow comprises the following steps: after the cloud receives the high-performance signaling, the high-performance signaling is transmitted to the handheld AR scanning equipment of a plurality of correction personnel in the high-risk adjustment personnel category, the plurality of correction personnel receiving the high-performance signaling judge the distance between the current position and the problem area by the AR scanning equipment, one nearest distance is selected from the plurality of distances, then the correction personnel is prompted through the AR scanning equipment with the nearest distance, and the correction personnel transmits and receives the information of the high-performance flow through the AR scanning equipment to the cloud, wherein the correction personnel which is not prompted by the AR scanning equipment does not need to execute the correction flow.
3. The building integrated management platform based on BIM and AR according to claim 1, wherein the scanning end is composed of a plurality of AR scanning devices, wherein the AR scanning devices are tablet computers or smart phones, and the scanning and checking process is to compare the actual construction of a construction site with BIM models in a database by using the AR scanning devices and AR technology through inspectors and judge whether deviation exists.
4. The building integrated management platform based on BIM and AR according to claim 1, wherein the specific operation steps of the problem classification unit for classifying the problem information group are as follows:
analyzing the problem information group to obtain a problem area, a problem type, a problem discovery time, a problem occurrence estimated time, a problem point responsible person and a review recommender; the classification module is also provided with a plurality of area values which respectively correspond to different problem areas, and the problem area obtained after analysis is compared with the plurality of area values to obtain an area value matched with the problem area obtained after analysis; the method comprises the steps of obtaining a type value matched with a problem type obtained after analysis, wherein the type value corresponds to different problem types; the method is also used for calculating a difference value between the problem discovery time obtained after the problem information group is analyzed and the problem occurrence estimated time to obtain an estimated time difference, and calculating three values of the area value, the type value and the estimated time difference to obtain a risk class value of the problem; the specific calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein: FX is the risk class value of the problem, a, b and t are the regional value, the type value and the expected time difference respectively; />Preset weight coefficient for regional value, +.>Preset weight coefficient for type value, +.>A preset weight coefficient for the predicted time difference;
the problem classification unit is also provided with a low risk level interval, a medium risk level interval and a high risk level interval, wherein the low risk level interval, the medium risk level interval and the high risk level interval are continuous intervals, the risk level value FX is compared with the three continuous intervals of the low risk level interval, the medium risk level interval and the high risk level interval, the risk level value of the wind problem is judged to be positioned in which interval range, and the risk level of the problem is obtained; and determines the risk level of the plurality of questions in the same manner.
5. The building integrated management platform based on BIM and AR according to claim 1, wherein a correction personnel information group is further arranged in the database, the correction personnel information group consists of personnel names, personnel numbers, the number of correction problems of personnel, average time of the correction problems of the personnel and average completion degree of the correction of the personnel, and the correction personnel information group is recorded and stored by AR scanning equipment in a scanning end;
the number of the personnel correction questions is increased by the AR scanning equipment after the personnel correction is carried out for one time, the average time of the personnel correction questions is recorded by the AR scanning equipment, two time points of starting correction and finishing correction of the personnel correction questions are recorded by the AR scanning equipment, the difference value of the two time points is calculated to obtain single personnel correction time, and the average value of the multiple times of the personnel correction questions is obtained through calculation; and marking and photographing the area after finishing the correction by using the AR scanning equipment, uploading marked and photographed data to the cloud end by using the AR scanning equipment, scoring the correction of the single personnel by a background evaluation personnel, representing the correction to be larger when the score is higher, and calculating the average value to obtain the average correction value of the personnel.
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