Building data intelligent management system and method based on artificial intelligence

Abstract

The invention discloses a building data intelligent management system and method based on artificial intelligence, and relates to the technical field of building data intelligent management, and the system comprises a building digital twin module, an Internet of Things intelligent service module, a regional analysis module, a historical data selection module and an intelligent sequence output module. The output end of the building digital twinning module is connected with the input end of the Internet of Things intelligent service module; the output end of the Internet of Things intelligent service module is connected with the input end of the regional analysis module; the output end of the regional analysis module is connected with the input end of the historical data selection module; and the output end of the historical data selection module is connected with the input end of the intelligent sequence output module. According to the invention, the construction efficiency can be improved, and monitoring and optimal management of energy consumption are realized through effective resource allocation and energy-saving measures; and in the aspect of improving integration, data pre-judgment is realized, and the probability of repeated operation and invalid construction is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management of building data, and in particular to an intelligent management system and method for building data based on artificial intelligence. Background Art

[0002] Under the current artificial intelligence building system, a three-dimensional model of a physical building is constructed based on an intelligent twin platform to achieve building virtualization. By adopting technologies such as virtual reality and structural simulation, groups work together with the support of high-performance computers and other equipment. The geometric model and construction process model of the building are established through BIM technology to achieve real-time, interactive and realistic simulation of the construction plan and form engineering drawings within the area; however, in the current technical means, the engineering drawings are judged and defects are output only based on the building specifications preset in the system, but the impact of the rectification of a certain area on other areas is ignored, resulting in repeated operations and ineffective construction in the process of improving the engineering drawings. Summary of the invention

[0003] The purpose of the present invention is to provide an artificial intelligence-based building data intelligent management system and method to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solution: an intelligent management method for building data based on artificial intelligence, the method comprising the following steps: S1. Build a digital construction project information ecosystem, collect engineering drawings through the Internet of Things, feed them back to the digital construction project information ecosystem, and judge the improvement operations of each engineering drawing based on the engineering drawings; S2. Obtain the improvement operations of all engineering drawings, analyze and process the engineering drawings, determine the overlapping impact areas, and mark them; S3. Obtain historical big data of digital construction, build functional relationships between improvement operations, form a sequence data table of engineering drawing improvements, and feed it back to the administrator port.

[0005] According to the above technical solution, the digital construction project information ecosystem sets up image conversion software, uses BIM technology to reproduce the engineering drawings collected by the Internet of Things, builds a three-dimensional model on the virtual operation technology platform, and reproduces the scene of the engineering drawing; The engineering drawing refers to the actual image of the construction site collected by using a sensor instrument, the construction site is segmented to form a number of areas, and the sensor image is collected for each area to form an engineering drawing of each area; The internal system of the digital construction project information ecosystem sets standard construction specifications, and based on the engineering drawings of each area, outputs improved operations for each engineering drawing in accordance with standard construction specifications.

[0006] According to the above technical solution, in steps S2-S3, it also includes: Acquire historical big data of digital construction, wherein the historical big data of digital construction includes a construction summary of each construction in the historical data, wherein the construction summary includes an internal impact area and an external impact area of ​​each improvement operation; The internal impact area refers to the overlapping area between a certain improvement operation and other improvement operations in the same area; the external impact area refers to the sum of the impact areas of the combination of improvement operations in a certain area on adjacent areas; Get the improvement operation of the current engineering drawing, recorded as ,in, Refers to n improvement operations in the current engineering drawing respectively; the sum of the internal impact areas of the improvement operations of the current engineering drawing is calculated: ; ; in, Refers to the sum of the internal impact areas of the improvement operation a, a belongs to ; It refers to the number of improvement operations a and improvement operations i that are in the same area and have an impact in the historical big data of digital construction; Refers to the internal impact area of ​​improvement operation a on improvement operation i in the same area in the historical big data of digital construction; Refers to the sum of the internal impact areas calculated by the improvement operations of the current engineering drawing; i represents the improvement operation number, which refers to other improvement operations except improvement operation a; Obtain the sum of external impact areas in the historical big data of digital construction to form a data set ;in, Represents improvement operations in a certain area. Represents the external influence area of ​​the corresponding area; obtains the improvement operation containing the current engineering drawing The improvement operation data including the improvement operation of the current engineering drawing refers to the improvement operation data being equal to the improvement operation of the current engineering drawing or being able to fully cover the improvement operation of the current engineering drawing; If there are data sets with the same improvement operation as the current engineering drawing, take all data sets The average value is calculated and the calculated value is used as the external impact area of ​​the improvement operation of the current engineering drawing; if there is no data set with the improvement operation equivalent to the current engineering drawing, all data sets that can fully cover the improvement operation of the current engineering drawing are taken, and each data set is marked, and the selection mark refers to the number of improvement operations remaining in the data set except the improvement operation of the current engineering drawing. Based on the number as the horizontal axis, the data set As the ordinate, a linear relationship function is formed, and the output value of the linear relationship function when the abscissa is 0 is taken as the external impact area of ​​the improvement operation of the current engineering drawing; Construct the order of each drawing in the sequence data table: ; in, Refers to the order of improvement; , Represents the weight coefficient of the system settings; The external impact area representing the improvement operation of the current engineering drawing; The improvement operations are sorted from small to large based on the improvement sequence to form a sequence data table.

[0007] An artificial intelligence-based building data intelligent management system, the system includes: a building digital twin module, an Internet of Things intelligent service module, a regional analysis module, a historical data selection module and an intelligent sequence output module; The building digital twin module is used to build an information-based ecosystem for digital construction projects, relying on the Internet of Things to collect engineering drawings and feed them back to the digital construction project information-based ecosystem; the Internet of Things intelligent service module determines the improvement operation of each engineering drawing based on the engineering drawings; the regional analysis module is used to obtain the improvement operations of all engineering drawings, analyze and process the engineering drawings, determine the overlapping impact areas, and mark them; the historical data selection module is used to obtain the construction summary of each building construction in the historical big data of digital construction, and the construction summary includes the internal impact area and the external impact area of ​​each improvement operation, and constructs the functional relationship between the improvement operations; the intelligent sequence output module is used to form a sequence data table of engineering drawing improvements and feed it back to the administrator port; The output end of the building digital twin module is connected to the input end of the Internet of Things intelligent service module; the output end of the Internet of Things intelligent service module is connected to the input end of the regional analysis module; the output end of the regional analysis module is connected to the input end of the historical data selection module; the output end of the historical data selection module is connected to the input end of the intelligent sequence output module.

[0008] According to the above technical solution, the building digital twin module includes a building digital twin unit and an Internet of Things acquisition unit; The building digital twin unit is used to build an information ecosystem for digital construction projects, obtain building data of the object to be managed, and send the building data to the virtual operation technology platform to build a three-dimensional model; the Internet of Things acquisition unit is used to collect regional images in actual building scenes to form engineering drawings; The output end of the building digital twin unit is connected to the input end of the Internet of Things acquisition unit.

[0009] According to the above technical solution, the IoT intelligent service module includes a building specification unit and a comparison unit; The building specification unit is used to set temporary building specifications in the system and create a standard scene for each building scene; the comparison unit is used to determine the improvement operation of each engineering drawing based on the standard scene and the engineering drawing; An output of the building specification unit is connected to an input of the comparison unit.

[0010] According to the above technical solution, the region analysis module includes an improved operation processing unit and a marking unit; The improvement operation processing unit is used to obtain the improvement operations of all engineering drawings, analyze and process the engineering drawings, and construct internal influence areas and external influence areas. The internal influence area refers to the overlapping area between a certain improvement operation and other improvement operations in the same area; the external influence area refers to the sum of the areas of influence of the combination of improvement operations in a certain area on adjacent areas; The marking unit is used to determine the overlapping influence area of ​​the internal influence area and mark it; The output terminal of the improvement operation processing unit is connected to the input terminal of the marking unit.

[0011] According to the above technical solution, the historical data selection module includes an external impact area analysis unit and a function output unit; The external impact area analysis unit is used to obtain a construction summary of each construction in the historical big data of digital construction, wherein the construction summary includes the internal impact area and the external impact area of ​​each improvement operation, and forms a functional relationship between the external impact area and the number of improvement operations; the function output unit outputs the external impact area of ​​the improvement operation of the current engineering drawing based on the functional relationship; An output end of the external influence region analysis unit is connected to an input end of the function output unit.

[0012] According to the above technical solution, the intelligent sequence output module includes an improved sequence arrangement unit and a feedback unit; The improvement sequence arrangement unit is used to sort the improvement sequence of each engineering drawing to form a sequence data table of engineering drawing improvements; the feedback unit is used to feed back the improved sequence data table to the administrator port; The output end of the improved sequence arrangement unit is connected to the input end of the feedback unit.

[0013] Compared with the prior art, the invention has the following beneficial effects: the invention can improve construction efficiency, and based on digital twin technology and data processing of engineering drawings, can achieve real-time monitoring, data analysis and prediction of construction progress, which helps to improve construction efficiency and reduce waste of human resources. It can reduce the cost of building construction and operation through effective resource allocation and energy-saving measures. At the same time, intelligent buildings can monitor and optimize energy consumption, further reducing energy expenses; in terms of improved integration, data prejudgment can be achieved, reducing the probability of repeated operations and ineffective construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A schematic diagram of a flow chart of an intelligent management method for building data based on artificial intelligence according to the present invention; Figure 2 The present invention is a schematic diagram of an improved operation of an artificial intelligence-based intelligent management method for building data. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Example: Figure 1-Figure 2 As shown, the present invention provides an intelligent management method for building data based on artificial intelligence, the method comprising: constructing a digital construction project information ecosystem, collecting engineering drawings by relying on the Internet of Things, feeding back to the digital construction project information ecosystem, and judging the improvement operation of each engineering drawing based on the engineering drawings; By setting up a building digital twin platform, the building data of the object to be managed is collected at the same time, and the building data is sent to the virtual operation technology platform to build a three-dimensional model, and the characteristic parameters of the building data are determined, and the characteristic parameters are sent to the virtual operation technology platform; wherein, the characteristic parameters include characteristic values ​​and label information; after receiving the building data and characteristic parameters, the virtual operation technology platform forms intelligent management and performs digital delivery; wherein, when determining the characteristic parameters of the building data, data cleaning and data conversion are also included: The digital construction project information ecosystem also includes image conversion software, which uses BIM technology to replicate engineering drawings collected by the Internet of Things and reproduce the scenes of engineering drawings; The engineering drawing refers to the actual image of the construction site collected by using a sensor instrument, the construction site is segmented to form a number of areas, and the sensor image is collected for each area to form an engineering drawing of each area; The internal system of the digital construction project information ecosystem sets standard construction specifications, and based on the engineering drawings of each area, outputs improved operations for each engineering drawing in accordance with standard construction specifications.

[0017] Obtain the improvement operations of all engineering drawings, analyze and process the engineering drawings, determine the overlapping impact areas, and mark them; Acquire historical big data of digital construction, wherein the historical big data of digital construction includes a construction summary of each construction in the historical data, wherein the construction summary includes an internal impact area and an external impact area of ​​each improvement operation; The internal impact area refers to the overlapping area between a certain improvement operation and other improvement operations in the same area; the external impact area refers to the sum of the impact areas of the combination of improvement operations in a certain area on adjacent areas; Get the improvement operation of the current engineering drawing, recorded as ,in, Refers to n improvement operations in the current engineering drawing respectively; the sum of the internal impact areas of the improvement operations of the current engineering drawing is calculated: ; ; in, Refers to the sum of the internal impact areas of the improvement operation a, a belongs to ; It refers to the number of improvement operations a and improvement operations i that are in the same area and have an impact in the historical big data of digital construction; Refers to the internal impact area of ​​improvement operation a on improvement operation i in the same area in the historical big data of digital construction; Refers to the sum of the internal impact areas calculated by the improvement operations of the current engineering drawing; i represents the improvement operation number, which refers to other improvement operations except improvement operation a; Obtain the sum of external impact areas in the historical big data of digital construction to form a data set ;in, Represents improvement operations in a certain area. Represents the external influence area of ​​the corresponding area; obtains the improvement operation containing the current engineering drawing The improvement operation data including the improvement operation of the current engineering drawing refers to the improvement operation data being equal to the improvement operation of the current engineering drawing or being able to fully cover the improvement operation of the current engineering drawing; If there are data sets with the same improvement operation as the current engineering drawing, take all data sets The average value is calculated and the calculated value is used as the external impact area of ​​the improvement operation of the current engineering drawing; if there is no data set with the improvement operation equivalent to the current engineering drawing, all data sets that can fully cover the improvement operation of the current engineering drawing are taken, and each data set is marked, and the selection mark refers to the number of improvement operations remaining in the data set except the improvement operation of the current engineering drawing. Based on the number as the horizontal axis, the data set As the ordinate, a linear relationship function is formed, and the output value of the linear relationship function when the abscissa is 0 is taken as the external impact area of ​​the improvement operation of the current engineering drawing; Construct the order of each drawing in the sequence data table: ; in, Refers to the order of improvement; , Represents the weight coefficient of the system settings; The external impact area representing the improvement operation of the current engineering drawing; The improvement operations are sorted from small to large based on the improvement sequence to form a sequence data table.

[0018] In this embodiment, an artificial intelligence-based building data intelligent management system is also provided, which includes: a building digital twin module, an Internet of Things intelligent service module, a regional analysis module, a historical data selection module, and an intelligent sequence output module; The building digital twin module is used to build an information-based ecosystem for digital construction projects, relying on the Internet of Things to collect engineering drawings and feed them back to the digital construction project information-based ecosystem; the Internet of Things intelligent service module determines the improvement operation of each engineering drawing based on the engineering drawings; the regional analysis module is used to obtain the improvement operations of all engineering drawings, analyze and process the engineering drawings, determine the overlapping impact areas, and mark them; the historical data selection module is used to obtain the construction summary of each building construction in the historical big data of digital construction, and the construction summary includes the internal impact area and the external impact area of ​​each improvement operation, and constructs the functional relationship between the improvement operations; the intelligent sequence output module is used to form a sequence data table of engineering drawing improvements and feed it back to the administrator port; The output end of the building digital twin module is connected to the input end of the Internet of Things intelligent service module; the output end of the Internet of Things intelligent service module is connected to the input end of the regional analysis module; the output end of the regional analysis module is connected to the input end of the historical data selection module; the output end of the historical data selection module is connected to the input end of the intelligent sequence output module.

[0019] The building digital twin module includes a building digital twin unit and an Internet of Things acquisition unit; The building digital twin unit is used to build an information ecosystem for digital construction projects, obtain building data of the object to be managed, and send the building data to the virtual operation technology platform to build a three-dimensional model; the Internet of Things acquisition unit is used to collect regional images in actual building scenes to form engineering drawings; The output end of the building digital twin unit is connected to the input end of the Internet of Things acquisition unit.

[0020] The IoT smart service module includes a building specification unit and a comparison unit; The building specification unit is used to set temporary building specifications in the system and create a standard scene for each building scene; the comparison unit is used to determine the improvement operation of each engineering drawing based on the standard scene and the engineering drawing; An output of the building specification unit is connected to an input of the comparison unit.

[0021] The regional analysis module includes an improved operation processing unit and a marking unit; The improvement operation processing unit is used to obtain the improvement operations of all engineering drawings, analyze and process the engineering drawings, and construct internal influence areas and external influence areas. The internal influence area refers to the overlapping area between a certain improvement operation and other improvement operations in the same area; the external influence area refers to the sum of the areas of influence of the combination of improvement operations in a certain area on adjacent areas; The marking unit is used to determine the overlapping influence area of ​​the internal influence area and mark it; The output terminal of the improvement operation processing unit is connected to the input terminal of the marking unit.

[0022] The historical data selection module includes an external impact area analysis unit and a function output unit; The external impact area analysis unit is used to obtain a construction summary of each construction in the historical big data of digital construction, wherein the construction summary includes the internal impact area and the external impact area of ​​each improvement operation, and forms a functional relationship between the external impact area and the number of improvement operations; the function output unit outputs the external impact area of ​​the improvement operation of the current engineering drawing based on the functional relationship; An output end of the external influence region analysis unit is connected to an input end of the function output unit.

[0023] The intelligent sequence output module includes an improved sequence arrangement unit and a feedback unit; The improvement sequence arrangement unit is used to sort the improvement sequence of each engineering drawing to form a sequence data table of engineering drawing improvements; the feedback unit is used to feed back the improved sequence data table to the administrator port; The output end of the improved sequence arrangement unit is connected to the input end of the feedback unit.

[0024] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An intelligent management method for building data based on artificial intelligence, characterized in that: The method comprises the following steps: S1. Build a digital construction project information ecosystem, collect engineering drawings through the Internet of Things, feed them back to the digital construction project information ecosystem, and judge the improvement operations of each engineering drawing based on the engineering drawings; S2. Obtain the improvement operations of all engineering drawings, analyze and process the engineering drawings, determine the overlapping impact areas, and mark them; S3. Obtain historical big data of digital construction, build functional relationships between improvement operations, form a sequence data table of engineering drawing improvements, and feed it back to the administrator port.

2. The method for intelligent management of building data based on artificial intelligence according to claim 1, characterized in that: The digital construction project information ecosystem sets up image conversion software, uses BIM technology to reproduce engineering drawings collected by the Internet of Things, builds a three-dimensional model on a virtual operation technology platform, and reproduces the scenes of the engineering drawings; The engineering drawing refers to the actual image of the construction site collected by using a sensor instrument, the construction site is segmented to form a number of areas, and the sensor image is collected for each area to form an engineering drawing of each area; The internal system of the digital construction project information ecosystem sets standard construction specifications, and based on the engineering drawings of each area, outputs improved operations for each engineering drawing in accordance with standard construction specifications.

3. The method for intelligent management of building data based on artificial intelligence according to claim 2, characterized in that: In steps S2-S3, it also includes: Acquire historical big data of digital construction, wherein the historical big data of digital construction includes a construction summary of each construction in the historical data, wherein the construction summary includes an internal impact area and an external impact area of ​​each improvement operation; The internal impact area refers to the overlapping area between a certain improvement operation and other improvement operations in the same area; the external impact area refers to the sum of the impact areas of the combination of improvement operations in a certain area on adjacent areas; Get the improvement operation of the current engineering drawing, recorded as ,in, Refers to n improvement operations in the current engineering drawing respectively; the sum of the internal impact areas of the improvement operations of the current engineering drawing is calculated: ； ； in, Refers to the sum of the internal impact areas of the improvement operation a, a belongs to ; It refers to the number of improvement operations a and improvement operations i that are in the same area and have an impact in the historical big data of digital construction; Refers to the internal impact area of ​​improvement operation a on improvement operation i in the same area in the historical big data of digital construction; Refers to the sum of the internal impact areas calculated by the improvement operations of the current engineering drawing; i represents the improvement operation number, which refers to other improvement operations except improvement operation a; Obtain the sum of external impact areas in the historical big data of digital construction to form a data set ;in, Represents improvement operations in a certain area. Represents the external influence area of ​​the corresponding area; obtains the improvement operation containing the current engineering drawing The improvement operation data including the improvement operation of the current engineering drawing refers to the improvement operation data being equal to the improvement operation of the current engineering drawing or being able to fully cover the improvement operation of the current engineering drawing; If there are data sets with the same improvement operation as the current engineering drawing, take all data sets The average value is calculated and the calculated value is used as the external impact area of ​​the improvement operation of the current engineering drawing; if there is no data set with the improvement operation equivalent to the current engineering drawing, all data sets that can fully cover the improvement operation of the current engineering drawing are taken, and each data set is marked, and the selection mark refers to the number of improvement operations remaining in the data set except the improvement operation of the current engineering drawing. Based on the number as the horizontal axis, the data set As the ordinate, a linear relationship function is formed, and the output value of the linear relationship function when the abscissa is 0 is taken as the external impact area of ​​the improvement operation of the current engineering drawing; Construct the order of each drawing in the sequence data table: ； in, Refers to the order of improvement; , Represents the weight coefficient of the system settings; The external impact area representing the improvement operation of the current engineering drawing; The improvement operations are sorted from small to large based on the improvement sequence to form a sequence data table.

4. An artificial intelligence-based intelligent management system for building data, characterized in that: The system includes: building digital twin module, IoT intelligent service module, regional analysis module, historical data selection module and intelligent sequence output module; The building digital twin module is used to build an information-based ecosystem for digital construction projects, relying on the Internet of Things to collect engineering drawings and feed them back to the digital construction project information-based ecosystem; the Internet of Things intelligent service module determines the improvement operation of each engineering drawing based on the engineering drawings; the regional analysis module is used to obtain the improvement operations of all engineering drawings, analyze and process the engineering drawings, determine the overlapping impact areas, and mark them; the historical data selection module is used to obtain the construction summary of each building construction in the historical big data of digital construction, and the construction summary includes the internal impact area and the external impact area of ​​each improvement operation, and constructs the functional relationship between the improvement operations; the intelligent sequence output module is used to form a sequence data table of engineering drawing improvements and feed it back to the administrator port; The output end of the building digital twin module is connected to the input end of the Internet of Things intelligent service module; the output end of the Internet of Things intelligent service module is connected to the input end of the regional analysis module; the output end of the regional analysis module is connected to the input end of the historical data selection module; the output end of the historical data selection module is connected to the input end of the intelligent sequence output module.

5. The intelligent management system for building data based on artificial intelligence according to claim 4 is characterized by: The building digital twin module includes a building digital twin unit and an Internet of Things acquisition unit; The building digital twin unit is used to build an information ecosystem for digital construction projects, obtain building data of the object to be managed, and send the building data to the virtual operation technology platform to build a three-dimensional model; the Internet of Things acquisition unit is used to collect regional images in actual building scenes to form engineering drawings; The output end of the building digital twin unit is connected to the input end of the Internet of Things acquisition unit.

6. The intelligent management system for building data based on artificial intelligence according to claim 4, characterized in that: The IoT smart service module includes a building specification unit and a comparison unit; The building specification unit is used to set temporary building specifications in the system and create a standard scenario for each building scenario; The comparison unit is used to determine the improvement operation of each engineering drawing based on the engineering drawing according to the standard scenario; An output of the building specification unit is connected to an input of the comparison unit.

7. The intelligent management system for building data based on artificial intelligence according to claim 4 is characterized by: The regional analysis module includes an improved operation processing unit and a marking unit; The improvement operation processing unit is used to obtain the improvement operations of all engineering drawings, analyze and process the engineering drawings, and construct internal influence areas and external influence areas. The internal influence area refers to the overlapping area between a certain improvement operation and other improvement operations in the same area; the external influence area refers to the sum of the areas of influence of the combination of improvement operations in a certain area on adjacent areas; The marking unit is used to determine the overlapping influence area of ​​the internal influence area and mark it; The output terminal of the improvement operation processing unit is connected to the input terminal of the marking unit.

8. The intelligent management system for building data based on artificial intelligence according to claim 4 is characterized by: The historical data selection module includes an external impact area analysis unit and a function output unit; The external impact area analysis unit is used to obtain a construction summary of each building construction in the historical big data of digital construction, wherein the construction summary includes the internal impact area and the external impact area of ​​each improvement operation, forming a functional relationship between the external impact area and the number of improvement operations; The function output unit outputs the external impact area of ​​the improvement operation of the current engineering drawing based on the functional relationship; An output end of the external influence region analysis unit is connected to an input end of the function output unit.

9. The intelligent management system for building data based on artificial intelligence according to claim 4, characterized in that: The intelligent sequence output module includes an improved sequence arrangement unit and a feedback unit; The improvement sequence arrangement unit is used to sort the improvement sequence of each engineering drawing to form a sequence data table of engineering drawing improvements; The feedback unit is used to feed back the improved sequence data table to the administrator port; The output end of the improved sequence arrangement unit is connected to the input end of the feedback unit.

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