CN111913619B - Fire-fighting data reading and interaction method based on BIM lightweight - Google Patents
Fire-fighting data reading and interaction method based on BIM lightweight Download PDFInfo
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Abstract
The invention discloses a BIM lightweight-based fire-fighting data reading and interaction method, which comprises the following steps: carrying out component processing on the whole BIM model data to obtain each same component in the BIM model, establishing a database, and carrying out data labeling; identifying the fire fighting equipment data of the first database and the acquired fire fighting equipment data; and (5) carrying out light weight processing on the database data by corresponding binding and data change. The method takes the light BIM model as a building component data base, provides a digital twin data model of a building physical structure 1:1 for fire-fighting intelligent scene application through low-cost reconstruction model component rendering, component labeling, fire-fighting database matching and external fire-fighting real-time data acquisition, and enhances fire-fighting scene application such as fire-fighting facility operation and maintenance, and has important significance.
Description
Technical Field
The invention relates to the technical field of building fire protection data monitoring, in particular to an optimized interaction method for interconnection and intercommunication of building foundation, fire protection facilities, fire information, fire protection daily management information and building intelligent system data based on BIM model lightweight.
Background
A Building Information Model (BIM) defined as a general term for digitally expressing physical and functional characteristics of a Building project and facilities in the whole life cycle of the Building project and facilities, and designing, constructing and operating processes and results according to the general term; the digital information model is a digital information model of the whole life cycle of the building, has the characteristics of three-dimensional simulation, simulated construction, collision inspection, facility positioning, progress control and the like, and can save the cost of manpower and material resources for building design, construction, operation and the like.
Model data after BIM model lightweight possesses there is the variety, when extracting the relevant construction with the fire control facility in each BIM model construction, has certain selection rate of missing, when fire control hardware collection system data acquisition to database, corresponds with current fire control data contrast model database, and its twin of data corresponds the accuracy probably unsatisfactory.
Disclosure of Invention
The invention aims to provide a BIM lightweight-based fire-fighting data reading and interaction method, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a fire-fighting data reading and interaction method based on BIM lightweight comprises the following steps:
s1, performing component processing on the whole BIM model data to obtain the same components in the BIM model, establishing a database, and performing data labeling;
s2, identifying the fire fighting equipment data of the first database and the collected fire fighting equipment data;
and S3, carrying out corresponding binding on database data, changing the data and carrying out light weight processing.
As a further scheme of the invention: the step S1 includes the steps of:
s11, building a BIM model of the building: building a BIM (building information modeling) model in the revit three-dimensional modeling through a manual technology;
and S12, acquiring the position data and the state of the fire fighting equipment in the BIM model, and classifying.
As a further scheme of the invention: the method for classifying the position data and the state of the fire fighting equipment in the BIM model in the step S12 comprises the following steps:
s121, acquiring the position data of the fire fighting equipment of the BIM model in the step S11: requesting position data information through a system, and determining the ID of a first-level area where the current fire fighting equipment model position is located according to the current model position, wherein the first-level area comprises a plurality of second-level sub-areas; sequentially traversing a second-level sub-area to an Nth-level sub-area included in a first-level area where the current position is located to determine an ID of the Nth-level sub-area corresponding to the current position, and acquiring the position data of the fire fighting equipment corresponding to the Nth-level sub-area according to the ID of the Nth-level sub-area;
s122, establishing normal state data of the fire fighting equipment in the BIM: acquiring normal to-be-operated data of the fire fighting equipment through the Internet;
and S123, classifying the fire fighting equipment models in the BIM through a classification model generation method.
As a further scheme of the invention: the generation method of the classification model comprises the following steps:
(1) acquiring a fire fighting equipment model in a BIM model of a building, extracting at least one ID of the fire fighting equipment model in the BIM model of the building, and taking each ID of the fire fighting equipment model in the BIM model of the building and a classification label corresponding to the fire fighting equipment model in the BIM model of the building as a group of first training data; generating at least one transformation image corresponding to a fire fighting equipment model in the building BIM model, and taking each transformation image corresponding to the fire fighting equipment model in the building BIM model and a classification label corresponding to the fire fighting equipment model in the building BIM model as a group of second training data;
(2) respectively training the initial classification model according to each group of first training data to respectively generate a basic classification model;
(3) training the initial deep learning model according to each group of second training data to respectively generate a basic classification model; and the basic classification models jointly form a fire fighting equipment model classification model in the BIM model of the building.
As a further scheme of the invention: the method of step S2 is: and acquiring the fire fighting equipment in the classified BIM model, and identifying the fire fighting equipment in the classified BIM model by using a fire fighting equipment generation identification method.
As a further scheme of the invention: the step S3 specifically includes the following steps:
s31, storing the fire fighting equipment identifications generated in the step S2 in a first database, and carrying out light weight processing;
s32, acquiring data information of at least one fire fighting device through an ARM technology; the data information of the fire fighting equipment is subjected to cloud-up and stored in a second database;
s33, comparing the fire fighting data in the identified standard library with the identified acquired fire fighting equipment data information:
and S34, judging the comparison result in the step S33, if the comparison process has abnormal conditions, acquiring for at least two times, and if the abnormal conditions still occur, analyzing the abnormal conditions and alarming.
Compared with the prior art, the invention has the beneficial effects that: the method takes a lightweight BIM model as a building component data base, provides a digital twin data model of a building physical structure 1:1 for fire-fighting intelligent scene application through low-cost reconstruction model component rendering, component labeling, fire-fighting database matching and external fire-fighting real-time data acquisition, and enhances fire-fighting scene application such as fire-fighting facility operation and maintenance, and has important significance. The building fire-fighting data reading and interaction method optimizes the building data of the BIM model, highlights the fire-fighting facility data, extracts the fire-fighting data, has obvious three-dimensional interaction purpose, and saves the labor and time cost.
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FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
Referring to fig. 1, in an embodiment of the present invention, a fire fighting data reading and interaction method based on BIM lightweight includes the following steps:
s1, extracting information of each component of the BIM fire fighting equipment model: the method comprises the following steps of carrying out component processing on the whole BIM model data to obtain the same components in the BIM model, establishing a first database, and carrying out data labeling, wherein the method comprises the following steps:
s11, building a BIM model of the building: building a BIM (building information modeling) model in the revit three-dimensional modeling through a manual technology;
s12, acquiring the position data and the state (complete structure and state to be operated) of the fire fighting equipment in the BIM model, and classifying the fire fighting equipment, wherein the classification specifically comprises the following steps:
s121, acquiring the position data of the fire fighting equipment of the BIM model in the step S11:
combining with S11 to obtain the building BIM model; requesting, by a system, location data information, wherein the data request information includes requested current location information of at least one fire fighting equipment model; determining the ID of a first-level area where the current fire fighting equipment model position is located according to the current model position, wherein the first-level area comprises a plurality of second-level sub-areas; sequentially traversing the second-level sub-area to the Nth-level sub-area included in the first-level area where the current position is located to determine the ID of the Nth-level sub-area corresponding to the current position, wherein N is a positive integer greater than or equal to 2; acquiring the fire fighting equipment position data corresponding to the Nth-level subregion according to the ID of the Nth-level subregion;
s122, establishing normal state data (complete structure and state to be operated) of the fire fighting equipment in the BIM:
the method comprises the steps of obtaining normal to-be-operated data of the fire fighting equipment through the Internet, clicking an official network of a fire fighting equipment manufacturer, obtaining a normal to-be-operated state of the fire fighting equipment, leading the to-be-operated state into the fire fighting equipment in a building BIM model, setting the to-be-operated state as normal state data, wherein the normal state data at least comprise water tank water pressure data, air pressure data of a fire fighting water pipe and normal state data of at least one valve.
S123, classifying the fire fighting equipment in the BIM:
acquiring a fire fighting equipment model in the BIM model of the building by combining S11; classifying the fire fighting equipment models in the BIM model by a classification model generation method, and classifying the fire fighting equipment models into a building space class, a fire fighting facility class, a fire fighting detection class, a pipeline class, a fire fighting electrical control class and the like, wherein the classification model generation method comprises the following steps: acquiring a fire fighting equipment model in a BIM model of a building; extracting at least one ID of the fire fighting equipment model in the BIM model of the building, and taking each ID of the fire fighting equipment model in the BIM model of the building and a classification label corresponding to the fire fighting equipment model in the BIM model of the building as a group of first training data; generating at least one transformation image corresponding to a fire fighting equipment model in the BIM model of the building, and taking each transformation image corresponding to the fire fighting equipment model in the BIM model of the building and a classification label corresponding to the fire fighting equipment model in the BIM model of the building as a group of second training data; training the initial classification model according to each group of first training data to respectively generate a basic classification model; training the initial deep learning model according to each group of second training data to respectively generate a basic classification model; and the basic classification models jointly form a fire fighting equipment model classification model in the BIM model of the building.
S2, simplifying unique component identification of the BIM fire fighting equipment model: identifying fire fighting equipment data of the first database, the fire fighting equipment data having been collected:
and combining the step S123 to obtain the classified fire fighting equipment in the BIM, and identifying the fire fighting equipment in the classified BIM by using a fire fighting equipment identification method. When the fire fighting equipment generating identification method is used for generating identification for the fire fighting equipment in the BIM model, acquiring an attribute information set of the fire fighting equipment in the BIM model; wherein the attribute information set comprises a plurality of attribute information of the fire fighting equipment in the BIM model; extracting at least two attribute information from the attribute information set; and generating a fire fighting equipment identifier in the BIM according to the at least two attribute information, and taking the fire fighting equipment identifier in the generated BIM as the identifier of the fire fighting equipment in the BIM.
S3, corresponding binding of database data, data change and model component rendering interaction rules, including the following steps:
s31, storing the fire fighting equipment identifications generated in the step S2 in a first database, and carrying out light weight processing, wherein the light weight processing specifically comprises the following steps:
s311, after the identification, storing the data in a first database;
acquiring a fire fighting equipment identifier in the generated BIM in combination with S2; storing in the first database through the cloud on the internet;
s312, carrying out lightweight treatment:
in combination with S311, obtaining the BIM building model in the first database; the weight reduction process is performed by a weight reduction technology.
S32, acquiring data of the building fire fighting equipment:
collecting data information of at least one fire fighting device by an ARM technology; and carrying out cloud-up and cloud-up on the data information of the fire fighting equipment and storing the data information into a second database.
S33, comparing the fire protection data in the identified standard library with the identified acquired fire protection equipment data information:
combining with S122, acquiring normal state data of the fire fighting equipment in the BIM; collecting the data of the building fire fighting equipment in combination with S32; combining with S2, acquiring fire fighting equipment data of a standard database and the identification of the acquired fire fighting equipment data; through a data comparison method, based on the fire fighting equipment data of the standard database and the identification of the acquired fire fighting equipment data, the normal state data of the fire fighting equipment in the BIM model and the acquired building fire fighting equipment data are acquired, and then comparison data difference is carried out. The method comprises the following steps: saving the normal state number of the fire fighting equipment in the BIM into a first database, and saving the processed data into a second database; respectively traversing Key values in the first database and the second database, searching whether the Key value exists on the other side, and if not, judging that the data record corresponding to the Key value is changed; if yes, judging whether a Value corresponding to the Key Value in the first database is the same as a Value corresponding to the Key Value in the second database, and if so, judging that the data corresponding to the Key Value is not modified; and if the Key values are different, judging that the data record corresponding to the Key value is a modification record.
S34, judging the comparison result in the step S33, if the comparison process has abnormal conditions, collecting at least twice, if the abnormal conditions still occur, analyzing the abnormal conditions, and alarming:
s341, comparing the abnormal conditions in the process, performing at least two times of acquisition, and if the abnormal conditions occur, analyzing the abnormal conditions
In connection with S33, fire fighting data in the identified criteria library is obtained in comparison with the identified collected fire fighting equipment data information. And if the abnormal condition occurs in the comparison process, performing at least second acquisition, and if the abnormal condition occurs, analyzing the abnormal condition.
S342, alarming according to the abnormal condition:
and combining S341 to obtain the analyzed abnormal condition, and further sending data to a display alarm through an output port I/O. Therefore, the abnormal conditions are eliminated through manual intervention processing.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (2)
1. A fire-fighting data reading and interaction method based on BIM lightweight is characterized in that: the method comprises the following steps:
s1, carrying out component processing on the whole BIM model data to obtain the same components in the BIM model, establishing a database of the BIM model to obtain a first database, and classifying the fire fighting equipment of the BIM model;
s2, identifying the fire fighting equipment data of the first database and the collected fire fighting equipment data;
s3, correspondingly binding the data and the identification of the first database, and carrying out lightweight processing on the BIM;
the step S1 includes the steps of:
s11, building a BIM model in the revit three-dimensional modeling through a manual technology;
s12, acquiring the position data and the state of the fire fighting equipment in the BIM model, and classifying the fire fighting equipment of the BIM model according to the position data and the state of the fire fighting equipment;
in step S12, the method for classifying the fire fighting equipment of the BIM model according to the location data and the status of the fire fighting equipment includes:
s121, acquiring the position data of the fire fighting equipment of the BIM model in the step S11: requesting position data information through a system, and determining the ID of a first-level area where the current fire fighting equipment model is located according to the current model position, wherein the first-level area comprises a plurality of second-level sub-areas; sequentially traversing second-level sub-areas to Nth-level sub-areas included in a first-level area where the current position is located to determine an ID of the Nth-level sub-area corresponding to the current position, and acquiring the position data of the fire fighting equipment corresponding to the Nth-level sub-area according to the ID of the Nth-level sub-area, wherein N is a positive integer greater than 2;
s122, acquiring normal state data of the defense elimination equipment in the BIM through the Internet;
s123, classifying the fire fighting equipment model in the BIM through a classification model generation method;
the method of step S2 is: acquiring the fire fighting equipment in the classified BIM model, and identifying the fire fighting equipment in the classified BIM model by using a fire fighting equipment generation identification method;
the step S3 includes the steps of:
s31, storing the fire fighting equipment identifications generated in the step S2 in a first database, and carrying out light weight processing;
s32, acquiring data information of at least one fire fighting device through an ARM technology; carrying out cloud-loading on the data information of the fire fighting equipment, and storing the data information in a second database;
s33, comparing the fire fighting data in the identified first database with the identified collected fire fighting equipment data information;
and S34, judging the comparison result in the step S33, if the comparison process has abnormal conditions, acquiring for at least two times, and if the abnormal conditions still occur, analyzing the abnormal conditions and alarming.
2. The BIM lightweight-based fire-fighting data reading and interaction method according to claim 1, wherein: the generation method of the classification model comprises the following steps:
(1) acquiring a fire fighting equipment model in a BIM model of a building, extracting at least one ID of the fire fighting equipment model in the BIM model of the building, and taking each ID of the fire fighting equipment model in the BIM model of the building and a classification label corresponding to the fire fighting equipment model in the BIM model of the building as a group of first training data; generating at least one transformation image corresponding to a fire fighting equipment model in the building BIM model, and taking each transformation image corresponding to the fire fighting equipment model in the building BIM model and a classification label corresponding to the fire fighting equipment model in the building BIM model as a group of second training data;
(2) respectively training the initial classification model according to each group of first training data to respectively generate a basic classification model;
(3) training the initial deep learning model according to each group of second training data to respectively generate a basic classification model;
(4) and the basic classification models jointly form a fire fighting equipment model classification model in the BIM model of the building.
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| CN112699451B (en) * | 2021-01-15 | 2023-04-18 | 中兴(温州)轨道通讯技术有限公司 | Community real-time twin system based on combination of community service middlebox and data middlebox with BIM |
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