Building engineering information integration management system and method based on AI model

Abstract

The invention discloses a building engineering information integration management system and method based on an AI model, and relates to the technical field of building engineering information integration management, and the system comprises a building engineering information screening module, a building engineering information integration module, an abnormal building feature value prediction module, a building engineering quality evaluation module and a building engineering management module. The constructional engineering information screening module is used for screening out heterogeneous data of each constructional engineering sub-project; the constructional engineering information integration module is used for obtaining heterogeneous indexes of all constructional engineering sub-projects; the abnormal building characteristic value prediction module is used for predicting the abnormal building characteristic value of each building engineering sub-project; and the building engineering quality evaluation module is used for evaluating the real-time building quality of each building engineering sub-project. According to the method and the system, the construction parameters of each construction project sub-project are selectively called, the building construction information integration workload of the system is reduced, and the information integration efficiency of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of construction engineering information integration management, and specifically to a construction engineering information integration management system and method based on an AI model. Background Art

[0002] With the rapid development of information technology, construction engineering information management has emerged as a key tool for the transformation and upgrading of the construction industry. Construction engineering information management refers to the use of modern information technology to effectively integrate and optimize human, material, and financial resources during the construction process to improve construction efficiency, reduce costs, and ensure project quality and safety.

[0003] Nowadays, during the construction process of a construction project, the construction status of each building sub-area is supervised by zoning to achieve rapid extraction of abnormal information in the construction project information. This process does not take into account the construction impact between the various building sub-areas. In the existing technology, when integrating and processing the construction project information, the construction project information of multiple dimensions is analyzed separately, and the integrated processing result is obtained based on the single analysis result, which reduces the integrated processing effect of the information and increases the integrated processing amount of the construction project information. Summary of the Invention

[0004] The purpose of the present invention is to provide a construction engineering information integration management system and method based on AI model to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: a construction project information integration and management system based on an AI model, the system comprising a construction project information screening module, a construction project information integration module, an abnormal building feature value prediction module, a construction project quality assessment module, and a construction project management module;

[0006] The construction project information screening module is used to screen out heterogeneous data of each construction project sub-project based on the construction technology data and building construction data of each construction project sub-project;

[0007] The construction engineering information integration module is used to search for associated heterogeneous data of the heterogeneous data of each construction engineering sub-project, and integrate the found associated heterogeneous data to obtain the heterogeneous index of each construction engineering sub-project;

[0008] The abnormal building characteristic value prediction module is used to predict the abnormal building characteristic value of each construction project sub-project based on the heterogeneous index of each construction project sub-project;

[0009] The construction project quality assessment module selectively retrieves the construction parameters of each construction project sub-project based on the abnormal building characteristic values of each construction project sub-project, and constructs a safety risk assessment model for each construction project sub-project based on the retrieved construction parameters to assess the real-time construction quality of each construction project sub-project;

[0010] The construction project management module manages the construction status of each construction project sub-project based on the real-time construction quality assessment results of each construction project sub-project and the abnormal construction feature values of each construction project sub-project.

[0011] Furthermore, the construction engineering information screening module includes a division unit and a heterogeneous data screening unit;

[0012] The division unit divides the construction project area according to the construction area of each construction team at the selected construction progress stage to obtain a plurality of construction project sub-projects, and a randomly selected construction project sub-project is referred to as a selected construction project sub-project;

[0013] The heterogeneous data screening unit acquires the construction technical data and building construction data of each construction engineering sub-project at the selected construction progress stage, and based on the acquired information, matches the construction technical data R of the selected engineering sub-project at the selected construction progress stage with the building construction data Q of the selected engineering sub-project at the selected construction progress stage. If R≤Q≤R*(1+g), the matching is successful; if R>Q, the matching is unsuccessful, and the construction data that fails to match is used as the heterogeneous data of the selected engineering sub-project at the selected construction progress stage, wherein g represents the error coefficient. Since both the construction technical data and the building construction data are time-series, when performing data matching, if the data can be matched successfully, it means that the construction team can complete the construction task; otherwise, it means that the construction team cannot complete the construction task.

[0014] Furthermore, the construction engineering information integration module includes a related heterogeneous data search unit and a heterogeneous data integration unit;

[0015] The associated heterogeneous data search unit searches for associated heterogeneous data of each heterogeneous data according to the construction engineering sub-projects corresponding to each heterogeneous data and the association between each construction engineering sub-project. The specific search method is: if the influence coefficient U between construction engineering sub-project A and construction engineering sub-project B is AB >0.5, the heterogeneous data corresponding to construction project sub-project B is considered to be the associated heterogeneous data of the heterogeneous data corresponding to construction project sub-project A. Otherwise, the heterogeneous data corresponding to construction project sub-project B is not considered to be the associated heterogeneous data of the heterogeneous data corresponding to construction project sub-project A.

[0016] When t B -tA >0, U AB =exp(-(t B -t A ));

[0017] When t B -t A When ≤0, U AB =0;

[0018] Wherein, exp() represents an exponential function with a real number e as the base and e=2.72, t A It represents the end time of A of the construction project sub-project formulated according to the construction requirements at the selected construction progress stage, t B Indicates the starting time point of the construction project sub-project B in the selected construction progress stage formulated according to the construction requirements;

[0019] The heterogeneous data integration unit stores the heterogeneous data corresponding to the selected engineering sub-project and the associated heterogeneous data corresponding to the selected engineering sub-project in a set M, and predicts the heterogeneous index of the selected engineering sub-project based on the set M, traverses all construction engineering sub-projects in the selected construction progress stage, and predicts the heterogeneous index of each construction engineering sub-project.

[0020] Furthermore, the specific formula for the heterogeneous data integration processing unit to predict the heterogeneous index of the selected engineering sub-project is:

[0021]

[0022] Where q represents the construction time of the selected engineering sub-item in the selected construction progress stage according to the construction requirements, j = 1, 2, ..., m, represents the numbering of the construction engineering sub-items corresponding to the associated heterogeneous data stored in the set M, m represents the total number, X m Y represents the construction technical data of the construction project sub-project numbered m at the selected construction progress stage. m It represents the construction data of the construction project sub-project numbered m at the selected construction progress stage, T represents the construction time length value corresponding to the selected construction progress stage, max represents the maximum value symbol, t m represents the end time point of the construction project sub-project numbered m in the selected construction progress stage, g represents the start time point of the selected construction progress stage, and p m It represents the construction time of the construction engineering sub-project numbered m in the selected construction progress stage formulated according to the construction requirements, and W represents the heterogeneous index of the selected engineering sub-project.

[0023] Furthermore, the abnormal building feature value prediction module obtains the heterogeneous index of the selected engineering sub-project and the heterogeneous index of the construction engineering sub-project corresponding to each associated heterogeneous data of the selected engineering sub-project heterogeneous data, and The abnormal building characteristic values of the selected engineering sub-projects are predicted, where W j The heterogeneous index of the construction project sub-project numbered j, U j It represents the influence coefficient between the selected engineering sub-project and the construction engineering sub-project numbered j, traverses all construction engineering sub-projects in the construction engineering sub-projects, and generates abnormal building feature values for each construction engineering sub-project.

[0024] Furthermore, the construction engineering quality assessment module includes a risk analysis unit and a construction quality assessment unit;

[0025] The risk analysis unit obtains the abnormal building characteristic value of each construction project sub-project. If the abnormal building characteristic value is greater than or equal to a set threshold, the construction parameters of the corresponding construction project sub-project are retrieved. If the abnormal building characteristic value is less than the set threshold, the construction parameters of the corresponding construction project sub-project are not retrieved. A safety risk assessment model for each construction project sub-project is constructed based on the retrieved construction parameters. The construction parameters include building construction data, building material consumption, and effective working hours of the construction team.

[0026] The building quality assessment unit obtains the safety risk coefficient of each construction project sub-project based on the safety risk assessment model constructed by the risk analysis unit, maps the obtained safety risk coefficient to [0,1], and calculates the difference between the value 1 and the mapping value obtained by mapping each safety risk coefficient to obtain the construction quality assessment value of each construction project.

[0027] Furthermore, the specific method for the risk analysis unit to construct a safety risk assessment model for each construction project sub-project based on the called construction parameters is as follows:

[0028] Each construction project sub-project is numbered, and the numbering result is: c = 1, 2, ..., v; v represents the total number of construction project sub-projects obtained by dividing the construction area into the selected construction progress stage;

[0029] Building a security risk assessment model The safety risk factor of the construction project sub-project numbered v is predicted, where J v Indicates the building material consumption of the construction project sub-project numbered v during the selected construction progress stage. Indicates that the construction project sub-project numbered v has completed the construction data Q within the selected construction progress stage v The minimum amount of building materials required, Q vW represents the construction data of the construction project sub-project numbered v in the selected construction progress stage. v G represents the effective working time of the construction team corresponding to the construction project sub-project numbered v in the selected construction progress stage, v It represents the maximum building construction data that the construction team corresponding to the construction project sub-project numbered v can complete in unit time according to the construction requirements. hour, when hour, when hour, when hour, P v Represents the safety risk factor of the construction project sub-project numbered v.

[0030] Furthermore, the construction project management module includes a management priority analysis unit and a construction management unit;

[0031] The management priority analysis unit calculates the absolute value of the difference between the construction quality assessment value of the selected project sub-project and the value 1, calculates the product of the obtained absolute value of the difference and the abnormal building characteristic value of the selected project sub-project, and obtains the management priority judgment value of the selected project sub-project. All construction project sub-projects in the construction project sub-project are traversed to generate the management priority judgment value of each construction project sub-project, and the management priority of each construction project sub-project is determined in descending order of the management priority judgment value.

[0032] The construction management unit notifies the construction teams of each construction engineering sub-project according to the determined management priority, and performs reconstruction processing on the corresponding construction engineering sub-project.

[0033] A construction engineering information integration management method based on an AI model, the method comprising:

[0034] S10: filtering out heterogeneous data of each construction project sub-project based on the construction technology data and building construction data of each construction project sub-project;

[0035] S20: searching for associated heterogeneous data of the heterogeneous data of each construction project sub-project, and integrating the found associated heterogeneous data to obtain a heterogeneous index of each construction project sub-project;

[0036] S30: predicting abnormal building characteristic values of each construction project sub-project based on the heterogeneous index of each construction project sub-project;

[0037] S40: selectively retrieve construction parameters of each construction project subproject based on the abnormal building characteristic values of each construction project subproject, and construct a safety risk assessment model for each construction project subproject based on the retrieved construction parameters to assess the real-time construction quality of each construction project subproject;

[0038] S50: managing the construction status of each construction project sub-project based on the real-time construction quality assessment results of each construction project sub-project and the abnormal construction characteristic values of each construction project sub-project.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. The present invention predicts the heterogeneous index of each construction project sub-project through the heterogeneous data of each construction project sub-project. The predicted heterogeneous index can not only reflect the construction completion status of each construction project sub-project, but also reflect the impact of each construction project sub-project on the construction of other construction project sub-projects, which is conducive to a comprehensive analysis of abnormal situations of each construction project sub-project.

[0041] 2. The present invention predicts the abnormal building characteristic values of each construction project sub-project based on the heterogeneous data of each construction project sub-project, and selectively calls the construction parameters of each construction project sub-project based on the prediction results, thereby reducing the system's workload of integrating construction information and further improving the system's efficiency in integrating information.

[0042] 3. The present invention predicts the safety risk coefficient of each construction project sub-project by constructing a safety risk assessment model. This process takes into account the construction requirements of each construction project sub-project and the effective working hours of each construction team, avoiding the impact of extended construction time due to delays in building materials, climate environment and other factors on the prediction results. Based on the prediction results and the abnormal building characteristic values of each construction project sub-project, the reconstruction status of each construction project sub-project is analyzed, which is conducive to ensuring that the construction project can be rectified in a short time, further improving the use effect of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a schematic diagram of the working principle of a construction engineering information integration management system and method based on an AI model of the present invention;

[0044] Figure 2 This is a workflow diagram of an AI-based construction engineering information integration management system and method of the present invention. DETAILED DESCRIPTION

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0046] Example: Figure 1 and Figure 2 As shown, the present invention provides a construction project information integration management system and method technical solution based on an AI model, a construction project information integration management system based on an AI model, the system includes a construction project information screening module, a construction project information integration module, an abnormal building feature value prediction module, a construction project quality assessment module and a construction project management module;

[0047] The construction project information screening module is used to screen out the heterogeneous data of each construction project sub-project based on the construction technology data and building construction data of each construction project sub-project;

[0048] The construction engineering information screening module includes a division unit and a heterogeneous data screening unit;

[0049] The division unit divides the construction project area according to the construction area of each construction team in the selected construction progress stage to obtain a number of construction project sub-projects. A randomly selected construction project sub-project is called a selected construction project sub-project. The selected construction progress stage refers to a random construction progress stage among the various construction progress stages of the construction project. Each construction project sub-project corresponds to a construction team.

[0050] The heterogeneous data screening unit acquires the construction technical data and building construction data of each construction project sub-project at the selected construction progress stage. Based on the acquired information, the construction technical data R of the selected engineering sub-project at the selected construction progress stage is matched with the building construction data Q of the selected engineering sub-project at the selected construction progress stage. If R≤Q≤R*(1+g), the matching is successful. If R>Q, the matching is unsuccessful. The unmatched construction data is used as the heterogeneous data of the selected engineering sub-project at the selected construction progress stage, where g represents the error coefficient. The construction technical data refers to the construction data formulated according to the construction requirements. The construction construction data refers to the construction data of the construction team. The construction construction data is reported by the construction team personnel. For example, when the construction team corresponding to the selected engineering sub-project works for one day, assuming that the construction technical data is 10 square meters of cement laid and the construction data is 8 square meters of cement laid, the error coefficient g=5%. At this time, the construction technical data>the construction data, so the matching is unsuccessful and the construction team fails to complete the construction task.

[0051] The construction engineering information integration module is used to search for related heterogeneous data of each construction engineering sub-project, and integrate the found related heterogeneous data to obtain the heterogeneous index of each construction engineering sub-project;

[0052] The construction engineering information integration module includes a related heterogeneous data search unit and a heterogeneous data integration unit;

[0053] The associated heterogeneous data search unit searches for associated heterogeneous data according to the construction engineering sub-projects corresponding to each heterogeneous data and the association between each construction engineering sub-project. The specific search method is: if the influence coefficient U between construction engineering sub-project A and construction engineering sub-project B is AB >0.5, the heterogeneous data corresponding to construction project sub-project B is considered to be the associated heterogeneous data of the heterogeneous data corresponding to construction project sub-project A. Otherwise, the heterogeneous data corresponding to construction project sub-project B is not considered to be the associated heterogeneous data of the heterogeneous data corresponding to construction project sub-project A.

[0054] When t B -t A >0, U AB =exp(-(t B -t A ));

[0055] When t B -t A When ≤0, U AB =0;

[0056] Wherein, exp() represents an exponential function with a real number e as the base and e=2.72, t A It represents the end time of A of the construction project sub-project formulated according to the construction requirements at the selected construction progress stage, t B Indicates the starting time point of the construction project sub-project B in the selected construction progress stage formulated according to the construction requirements;

[0057] The heterogeneous data integration unit stores the heterogeneous data corresponding to the selected engineering sub-project and the associated heterogeneous data corresponding to the selected engineering sub-project in a set M, and predicts the heterogeneous index of the selected engineering sub-project based on the set M. The specific prediction formula is:

[0058]

[0059] Where q represents the construction time of the selected engineering sub-item in the selected construction progress stage according to the construction requirements, j = 1, 2, ..., m, represents the numbering of the construction engineering sub-items corresponding to the associated heterogeneous data stored in the set M, m represents the total number, X mY represents the construction technical data of the construction project sub-project numbered m at the selected construction progress stage. m It represents the construction data of the construction project sub-project numbered m in the selected construction progress stage. T represents the construction time length value corresponding to the selected construction progress stage. T = the end time point of the selected construction progress stage - the start time point of the selected construction progress stage. Max represents the maximum value symbol. m represents the end time point of the construction project sub-project numbered m in the selected construction progress stage, g represents the start time point of the selected construction progress stage, and p m represents the construction time of the building engineering sub-project numbered m in the selected construction progress stage according to the building requirements, and W represents the heterogeneous index of the selected engineering sub-project;

[0060] Traverse all construction project sub-projects within the selected construction progress stage and predict the heterogeneous index of each construction project sub-project;

[0061] The abnormal building characteristic value prediction module is used to predict the abnormal building characteristic value of each construction project sub-project based on the heterogeneous index of each construction project sub-project;

[0062] The abnormal building characteristic value prediction module obtains the heterogeneous index of the selected engineering sub-project and the heterogeneous index of the construction engineering sub-project corresponding to each associated heterogeneous data of the selected engineering sub-project heterogeneous data. Based on the obtained information, The abnormal building characteristic values of the selected engineering sub-projects are predicted, where W j The heterogeneous index of the construction project sub-project numbered j, U j represents the influence coefficient between the selected engineering sub-project and the construction engineering sub-project numbered j, H represents the abnormal building characteristic value of the selected engineering sub-project, and traverses all construction engineering sub-projects in the construction engineering sub-project to generate the abnormal building characteristic value of each construction engineering sub-project;

[0063] The construction project quality assessment module selectively retrieves the construction parameters of each construction project sub-project based on the abnormal building characteristic values of each construction project sub-project, and constructs a safety risk assessment model for each construction project sub-project based on the retrieved construction parameters to evaluate the real-time construction quality of each construction project sub-project;

[0064] The construction project quality assessment module includes the risk analysis unit and the construction quality assessment unit;

[0065] The risk analysis unit obtains the abnormal building characteristic value of each construction project sub-project. If the abnormal building characteristic value is greater than or equal to the set threshold, the construction parameters of the corresponding construction project sub-project are retrieved. If the abnormal building characteristic value is less than the set threshold, the construction parameters of the corresponding construction project sub-project are not retrieved. The safety risk assessment model of each construction project sub-project is constructed based on the retrieved construction parameters. The specific method is as follows:

[0066] Each construction project sub-project is numbered, and the numbering result is: c = 1, 2, ..., v; v represents the total number of construction project sub-projects obtained by dividing the construction area into the selected construction progress stage;

[0067] Building a security risk assessment model The safety risk factor of the construction project sub-project numbered v is predicted, where J v Indicates the building material consumption of the construction project sub-project numbered v during the selected construction progress stage. Indicates that the construction project sub-project numbered v has completed the construction data Q within the selected construction progress stage v The minimum amount of building materials required, Q v W represents the construction data of the construction project sub-project numbered v in the selected construction progress stage. v G represents the effective working time of the construction team corresponding to the construction project sub-project numbered v in the selected construction progress stage, v It represents the maximum building construction data that the construction team corresponding to the construction project sub-project numbered v can complete in unit time according to the construction requirements. hour, when hour,

[0068] when hour, when hour, P v represents the safety risk factor of the construction project sub-project numbered v;

[0069] Construction parameters include building construction data, building material consumption, and effective working hours of construction teams;

[0070] The building quality assessment unit obtains the safety risk coefficient of each construction project sub-project based on the safety risk assessment model constructed by the risk analysis unit, maps the obtained safety risk coefficient to the range [0, 1], and calculates the difference between the value 1 and the mapped value obtained by mapping each safety risk coefficient to obtain the building quality assessment value of each construction project;

[0071] The construction project management module manages the construction status of each construction project sub-project based on the real-time construction quality assessment results of each construction project sub-project and the abnormal construction feature values of each construction project sub-project;

[0072] The construction project management module includes the management priority analysis unit and the construction management unit;

[0073] The management priority analysis unit calculates the absolute value of the difference between the construction quality assessment value of the selected engineering sub-project and the value 1, calculates the product of the obtained absolute value of the difference and the abnormal building characteristic value of the selected engineering sub-project, obtains the management priority judgment value of the selected engineering sub-project, traverses all construction engineering sub-projects in the construction engineering sub-project, generates the management priority judgment value of each construction engineering sub-project, and determines the management priority of each construction engineering sub-project in descending order of the management priority judgment value, giving priority to the construction engineering sub-project with the larger management priority judgment value;

[0074] The construction management unit notifies the construction teams of each construction project sub-project according to the determined management priority and carries out reconstruction processing on the corresponding construction project sub-project.

[0075] A construction engineering information integration management method based on an AI model, the method comprising:

[0076] S10: filtering out heterogeneous data of each construction project sub-project based on the construction technology data and building construction data of each construction project sub-project;

[0077] S20: searching for associated heterogeneous data of the heterogeneous data of each construction project sub-project, and integrating the found associated heterogeneous data to obtain a heterogeneous index of each construction project sub-project;

[0078] S30: predicting abnormal building characteristic values of each construction project sub-project based on the heterogeneous index of each construction project sub-project;

[0079] S40: selectively retrieve construction parameters of each construction project subproject based on the abnormal building characteristic values of each construction project subproject, and construct a safety risk assessment model for each construction project subproject based on the retrieved construction parameters to assess the real-time construction quality of each construction project subproject;

[0080] S50: managing the construction status of each construction project sub-project based on the real-time construction quality assessment results of each construction project sub-project and the abnormal construction characteristic values of each construction project sub-project.

[0081] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. A construction engineering information integration and management system based on an AI model, characterized by: The system includes a construction project information screening module, a construction project information integration module, an abnormal building feature value prediction module, a construction project quality assessment module and a construction project management module; The construction project information screening module is used to screen out heterogeneous data of each construction project sub-project based on the construction technology data and building construction data of each construction project sub-project; The construction engineering information integration module is used to search for associated heterogeneous data of the heterogeneous data of each construction engineering sub-project, and integrate the found associated heterogeneous data to obtain the heterogeneous index of each construction engineering sub-project; The abnormal building characteristic value prediction module is used to predict the abnormal building characteristic value of each construction project sub-project based on the heterogeneous index of each construction project sub-project; The construction project quality assessment module selectively retrieves the construction parameters of each construction project sub-project based on the abnormal building characteristic values of each construction project sub-project, and constructs a safety risk assessment model for each construction project sub-project based on the retrieved construction parameters to assess the real-time construction quality of each construction project sub-project; The construction project management module manages the construction status of each construction project sub-project based on the real-time construction quality assessment results of each construction project sub-project and the abnormal construction feature values of each construction project sub-project.

2. The construction engineering information integration and management system based on the AI model according to claim 1 is characterized by: The construction engineering information screening module includes a division unit and a heterogeneous data screening unit; The division unit divides the construction project area according to the construction area of each construction team at the selected construction progress stage to obtain a plurality of construction project sub-projects, and a randomly selected construction project sub-project is referred to as a selected construction project sub-project; The heterogeneous data screening unit acquires the construction technical data and building construction data of each construction engineering sub-project at the selected construction progress stage, and based on the acquired information, matches the construction technical data R of the selected engineering sub-project at the selected construction progress stage with the building construction data Q of the selected engineering sub-project at the selected construction progress stage. If R≤Q≤R*(1+g), the matching is successful; if R>Q, the matching is unsuccessful, and the unmatched construction data is used as the heterogeneous data of the selected engineering sub-project at the selected construction progress stage, where g represents the error coefficient.

3. The construction engineering information integration and management system based on the AI model according to claim 2 is characterized by: The construction engineering information integration module includes a related heterogeneous data search unit and a heterogeneous data integration unit; The associated heterogeneous data search unit searches for associated heterogeneous data of each heterogeneous data according to the construction engineering sub-projects corresponding to each heterogeneous data and the association between each construction engineering sub-project. The specific search method is: if the influence coefficient U between construction engineering sub-project A and construction engineering sub-project B is AB >0.5, the heterogeneous data corresponding to construction project sub-project B is considered to be the associated heterogeneous data of the heterogeneous data corresponding to construction project sub-project A. Otherwise, the heterogeneous data corresponding to construction project sub-project B is not considered to be the associated heterogeneous data of the heterogeneous data corresponding to construction project sub-project A. When t B -t A >0, U AB =exp(-(t B -t A )); When t B -t A When ≤0, U AB =0; Wherein, exp() represents an exponential function with a real number e as the base and e=2.72, t A It represents the end time of A of the construction project sub-project formulated according to the construction requirements at the selected construction progress stage, t B Indicates the starting time point of the construction project sub-project B in the selected construction progress stage formulated according to the construction requirements; The heterogeneous data integration unit stores the heterogeneous data corresponding to the selected engineering sub-project and the associated heterogeneous data corresponding to the selected engineering sub-project in a set M, and predicts the heterogeneous index of the selected engineering sub-project based on the set M, traverses all construction engineering sub-projects in the selected construction progress stage, and predicts the heterogeneous index of each construction engineering sub-project.

4. The construction engineering information integrated management system based on the AI model according to claim 3 is characterized by: The specific formula for the heterogeneous data integration processing unit to predict the heterogeneous index of the selected engineering sub-project is: Where q represents the construction time of the selected engineering sub-item in the selected construction progress stage according to the construction requirements, j = 1, 2, ..., m, represents the numbering of the construction engineering sub-items corresponding to the associated heterogeneous data stored in the set M, m represents the total number, X m Y represents the construction technical data of the construction project sub-project numbered m at the selected construction progress stage. m It represents the construction data of the construction project sub-project numbered m at the selected construction progress stage, T represents the construction time length value corresponding to the selected construction progress stage, max represents the maximum value symbol, t m represents the end time point of the construction project sub-project numbered m in the selected construction progress stage, g represents the start time point of the selected construction progress stage, and p m It represents the construction time of the construction engineering sub-project numbered m in the selected construction progress stage formulated according to the construction requirements, and W represents the heterogeneous index of the selected engineering sub-project.

5. The construction engineering information integration and management system based on the AI model according to claim 4 is characterized by: The abnormal building characteristic value prediction module obtains the heterogeneous index of the selected engineering sub-project and the heterogeneous index of the construction engineering sub-project corresponding to each associated heterogeneous data of the selected engineering sub-project heterogeneous data, and obtains the heterogeneous index of the construction engineering sub-project according to the heterogeneous index of the selected engineering sub-project. The abnormal building characteristic values of the selected engineering sub-projects are predicted, where W j The heterogeneous index of the construction project sub-project numbered j, U j It represents the influence coefficient between the selected engineering sub-project and the construction engineering sub-project numbered j, traverses all construction engineering sub-projects in the construction engineering sub-projects, and generates abnormal building feature values for each construction engineering sub-project.

6. The construction engineering information integration and management system based on the AI model according to claim 5 is characterized by: The construction engineering quality assessment module includes a risk analysis unit and a construction quality assessment unit; The risk analysis unit obtains the abnormal building characteristic value of each construction project sub-project. If the abnormal building characteristic value is greater than or equal to a set threshold, the construction parameters of the corresponding construction project sub-project are retrieved. If the abnormal building characteristic value is less than the set threshold, the construction parameters of the corresponding construction project sub-project are not retrieved. A safety risk assessment model for each construction project sub-project is constructed based on the retrieved construction parameters. The construction parameters include building construction data, building material consumption, and effective working hours of the construction team. The building quality assessment unit obtains the safety risk coefficient of each construction project sub-project based on the safety risk assessment model constructed by the risk analysis unit, maps the obtained safety risk coefficient to [0,1], and calculates the difference between the value 1 and the mapping value obtained by mapping each safety risk coefficient to obtain the construction quality assessment value of each construction project.

7. The construction engineering information integrated management system based on the AI model according to claim 6 is characterized by: The specific method for the risk analysis unit to construct the safety risk assessment model of each construction project sub-project according to the called construction parameters is as follows: Each construction project sub-project is numbered, and the numbering result is: c = 1, 2, ..., v; v represents the total number of construction project sub-projects obtained by dividing the construction area into the selected construction progress stage; Building a security risk assessment model The safety risk factor of the construction project sub-project numbered v is predicted, where J v Indicates the building material consumption of the construction project sub-project numbered v during the selected construction progress stage. Indicates that the construction project sub-project numbered v has completed the construction data Q within the selected construction progress stage v The minimum amount of building materials required, Q v W represents the construction data of the construction project sub-project numbered v in the selected construction progress stage. v G represents the effective working time of the construction team corresponding to the construction project sub-project numbered v in the selected construction progress stage, v It represents the maximum building construction data that the construction team corresponding to the construction project sub-project numbered v can complete in unit time according to the construction requirements. hour, when hour, when hour, when hour, P v Represents the safety risk factor of the construction project sub-project numbered v.

8. The construction engineering information integration and management system based on the AI model according to claim 7 is characterized by: The construction project management module includes a management priority analysis unit and a construction management unit; The management priority analysis unit calculates the absolute value of the difference between the construction quality assessment value of the selected project sub-project and the value 1, calculates the product of the obtained absolute value of the difference and the abnormal building characteristic value of the selected project sub-project, and obtains the management priority judgment value of the selected project sub-project. All construction project sub-projects in the construction project sub-project are traversed to generate the management priority judgment value of each construction project sub-project, and the management priority of each construction project sub-project is determined in descending order of the management priority judgment value. The construction management unit notifies the construction teams of each construction engineering sub-project according to the determined management priority, and performs reconstruction processing on the corresponding construction engineering sub-project.

9. A method for integrated management of construction project information based on an AI model, applied to the integrated management system of construction project information based on an AI model according to any one of claims 1 to 8, characterized in that: The method comprises: S10: filtering out heterogeneous data of each construction project sub-project based on the construction technology data and building construction data of each construction project sub-project; S20: searching for associated heterogeneous data of the heterogeneous data of each construction project sub-project, and integrating the found associated heterogeneous data to obtain a heterogeneous index of each construction project sub-project; S30: predicting abnormal building characteristic values of each construction project sub-project based on the heterogeneous index of each construction project sub-project; S40: selectively retrieve construction parameters of each construction project subproject based on the abnormal building characteristic values of each construction project subproject, and construct a safety risk assessment model for each construction project subproject based on the retrieved construction parameters to assess the real-time construction quality of each construction project subproject; S50: managing the construction status of each construction project sub-project based on the real-time construction quality assessment results of each construction project sub-project and the abnormal construction characteristic values of each construction project sub-project.

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