CN115796604B - Project full life cycle digital management early warning system based on BIM model - Google Patents
Project full life cycle digital management early warning system based on BIM model Download PDFInfo
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Abstract
The invention discloses a project full life cycle digital management early warning system based on a BIM model, which relates to the technical field of project full life cycle management, wherein the management early warning system comprises a data input module, a data classification module and an abnormal supervision analysis module, and the data input module is used for inputting data in a project progress process into the BIM model; the data classification module is used for classifying data in the BIM into qualitative analysis data and quantitative analysis data, wherein the qualitative analysis data comprises characteristic data of construction teams and operation teams, and the quantitative analysis data comprises characteristic data of building materials, construction progress, building parameters and environmental influence; the invention can integrate multiple groups of related data in the project period process of the building, early warn building construction and use states of the building at different stages of the project, and improve the efficiency, comprehensiveness and intelligence of project risk assessment.
Description
Technical Field
The invention relates to the technical field of project full life cycle management, in particular to a project full life cycle digital management early warning system based on a BIM model.
Background
The core of BIM is to build a virtual three-dimensional building engineering model and provide a complete building engineering information base consistent with the actual situation for the model by utilizing a digitizing technology. The information base not only contains geometric information, professional attributes and state information describing building components, but also contains state information of non-component objects (such as space and movement behaviors), and can help to integrate building information from the design, construction and operation of a building to the end of the whole life cycle of the building.
In the prior art, BIM is generally used for data storage in building project process by using the model, a user usually uses the model to acquire data or refer to data, for example, a management method and a system for BIM project elements based on BIM are disclosed in the prior document with application number 201610049724.4, the prior document also uses BIM to store project elements in a classified manner, the technical scheme can be simply summarized as classifying, storing and managing different data, in the prior art, risk screening in building project cycle process is lacking, a manager only refers to or stores the project cycle data by BIM, and then risk judgment of corresponding data in project cycle is performed by virtue of experience or manual calculation of the manager, so that a method or a system capable of integrating the project cycle data in building project process is lacking in the prior art to solve the above problems.
Disclosure of Invention
The invention aims to solve one of the technical problems in the prior art at least to a certain extent, and to achieve the above purpose, the invention provides a project full life cycle digital management early warning system based on a BIM model, wherein the management early warning system comprises a data input module, a data classification module and an abnormal supervision analysis module, and the data input module is used for inputting data in a project progress process into the BIM model;
the data classification module is used for classifying data in the BIM into qualitative analysis data and quantitative analysis data, wherein the qualitative analysis data comprises characteristic data of construction teams and operation teams, and the quantitative analysis data comprises characteristic data of building materials, construction progress, building parameters and environmental influence;
the abnormal supervision analysis module comprises a weight setting unit, a period dividing unit and an analysis unit, wherein the period dividing unit is used for dividing the whole life cycle of the project into a construction stage and a use stage; the weight setting unit is used for setting weights for the classified data based on the stage division of the project full life cycle; the analysis unit is used for analyzing and calculating the data in the BIM model of each stage to obtain the project management reference value of the building of each stage, comparing the project management reference value of the building of each stage with the corresponding project management standard value, and outputting the corresponding early warning signal according to the comparison result.
Further, the data input module comprises a basic data input unit and a change data input unit, wherein the basic data input unit is used for inputting characteristic data of construction teams, operation teams, building materials and building parameters, and the change data input unit is used for inputting characteristic data of construction progress and environmental influence;
the change data input unit comprises an update data input port and an environment database, wherein the environment database is in data connection with the update data input port, and the update data input port is used for inputting construction progress data; the environment database stores environment influence data outside the building, and inputs the environment influence data into the update data input port.
Further, the data classification module is configured with a data feature selection policy, the data feature selection policy comprising: selecting design team defects and construction team defects as characteristic data of a construction team; design team defects include the number of building quality design defects and the building quality design defect level; the building mass design defect level comprises a first-level design defect, a second-level design defect and a third-level design defect; the construction team defects comprise the number of construction quality defects and the grade of construction quality defects; the building material quality construction defect level comprises a first-level construction defect, a second-level construction defect and a third-level construction defect;
Selecting operation scores and operation time length as characteristic data of an operation team;
selecting the duty ratio of the core material as the characteristic data of the building material;
selecting the ratio of the actual completion of the construction to the expected completion of the construction as characteristic data of construction progress, and setting the ratio of the actual completion of the construction to the expected completion of the construction as the construction progress ratio;
selecting building height as characteristic data of building parameters;
and selecting the quantity of windy weather, rainfall and days at high and low temperatures as characteristic data of environmental influence.
Further, the weight setting unit is configured with a weight setting policy including: setting a first-level construction team coefficient, a first-level operation team coefficient, a first-level building material coefficient, a first-level construction progress duty coefficient, a first-level construction parameter coefficient and a first-level environment influence coefficient for characteristic data of a construction team, an operation team, building materials, construction progress duty ratio, building parameters and environment influence respectively in a construction stage, wherein the first-level construction team coefficient, the first-level operation team coefficient, the first-level building material coefficient, the first-level construction progress duty ratio, the first-level construction parameter coefficient and the first-level environment influence coefficient are all larger than zero, and the sum of the first-level construction team coefficient, the first-level operation team coefficient, the first-level building material coefficient, the first-level construction progress duty ratio coefficient, the first-level building parameter coefficient and the first-level environment influence coefficient is equal to 1;
Setting a secondary construction team coefficient, a secondary operation team coefficient, a secondary building material coefficient, a secondary construction progress duty coefficient, a secondary building parameter coefficient and a secondary environment influence coefficient for characteristic data of a construction team, an operation team, a building material, a construction progress duty ratio, a building parameter and an environment influence respectively in a use stage, wherein the sum of the secondary construction team coefficient, the secondary operation team coefficient, the secondary building material coefficient, the secondary construction progress duty ratio, the secondary building parameter coefficient and the secondary environment influence coefficient is larger than zero, and the secondary construction team coefficient, the secondary operation team coefficient, the secondary building material coefficient, the secondary construction progress duty ratio coefficient, the secondary building parameter coefficient and the secondary environment influence coefficient is equal to 1.
Further, the analysis unit is configured with a basic calculation strategy comprising: setting the number of building mass design defects of the primary design defect, the secondary design defect and the tertiary design defect as the number of the primary design defect, the number of the secondary design defect and the number of the tertiary design defect respectively;
setting the number of construction quality construction defects of the first-level construction defects, the second-level construction defects and the third-level construction defects as the number of the first-level construction defects, the number of the second-level construction defects and the number of the third-level construction defects respectively;
Setting a first-order index for the first-order design defect number and the first-order construction defect number, setting a second-order index for the second-order design defect number and the second-order construction defect number, setting a third-order index for the third-order design defect number and the third-order construction defect number,
adding the number of the first-stage design defects and the number of the first-stage construction defects, giving a first-stage index to obtain a first-stage defect reference value, adding the number of the second-stage design defects and the number of the second-stage construction defects, giving a second-stage index to obtain a second-stage defect reference value, adding the number of the third-stage design defects and the number of the third-stage construction defects, giving a third-stage index to obtain a third-stage defect reference value; adding the first-level defect reference value, the second-level defect reference value and the third-level defect reference value to obtain a negative influence value of the construction team feature data, and comparing the negative influence value of the construction team feature data with the standard reference value of the construction team feature data to obtain a proportion value of the construction team feature data;
multiplying the selected operation scores and the operation time length to obtain an operation team feature data forward influence value, and comparing the operation team feature data standard reference value with the operation team feature data forward influence value to obtain an operation team feature data proportion value;
Comparing the standard duty ratio of the core material with the duty ratio of the core material to obtain a characteristic data proportion value of the building material;
setting the reciprocal of the construction progress ratio as a construction progress characteristic data proportion value;
comparing the building height with a height standard reference value to obtain a building parameter characteristic data proportion value;
setting a rainfall days conversion ratio for rainfall, multiplying the rainfall by the rainfall days conversion ratio to obtain rainfall conversion days, adding the rainfall conversion days, the weather quantity of strong wind and the high and low temperature days to obtain an environmental days influence value, and comparing the environmental days influence value with an environmental days influence reference value to obtain an environmental influence characteristic data proportion value.
Further, the analysis unit is further configured with a build phase impact analysis strategy comprising: multiplying a construction team characteristic data proportion value, an operation team characteristic data proportion value, a building material characteristic data proportion value, a construction progress characteristic data proportion value, a construction parameter characteristic data proportion value and an environment influence characteristic data proportion value with a primary construction team coefficient, a primary operation team coefficient, a primary building material coefficient, a primary construction progress proportion coefficient, a primary building parameter coefficient and a primary environment influence coefficient respectively, and adding to obtain a project management reference value of a construction stage;
Subtracting the project management standard value from the project management reference value of the construction stage to obtain a project early warning value of the construction stage, and outputting a construction stage early warning signal when the project early warning value of the construction stage is larger than or equal to a first management threshold value, wherein the project management standard value is set to be 1, and the value range of the first management threshold value is 0.1-0.5.
Further, the analysis unit is further configured with a usage phase impact analysis strategy comprising: multiplying a construction team characteristic data proportion value, an operation team characteristic data proportion value, a building material characteristic data proportion value, a construction progress characteristic data proportion value, a building parameter characteristic data proportion value and an environment influence characteristic data proportion value with a secondary construction team coefficient, a secondary operation team coefficient, a secondary building material coefficient, a secondary construction progress duty ratio coefficient, a secondary building parameter coefficient and a secondary environment influence coefficient respectively, and then adding to obtain a project management reference value in a use stage;
subtracting the project management standard value from the project management reference value of the use stage to obtain a project early warning value of the use stage, and outputting a use stage early warning signal when the project early warning value of the use stage is larger than or equal to a second management threshold value, wherein the value range of the second management threshold value is 0.15-0.5.
The invention has the beneficial effects that: according to the invention, through data input, corresponding data support can be provided for data analysis of different periodic stages of a project of a building, and the data in the BIM model can be divided into qualitative analysis data and quantitative analysis data through a data classification module; then, dividing the full life cycle of the project into a construction stage and a use stage; setting weights for the classified data based on the stage division of the project full life cycle; the method can integrate multiple groups of related data in the project period process of the building, early warn building and using states of different stages of the project, and improve the efficiency, comprehensiveness and intelligence of project risk assessment.
Additional feature data and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
FIG. 1 is a schematic block diagram of a management early warning system of the present invention;
FIG. 2 is a functional block diagram of a data entry module of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and fig. 2, a project full life cycle digital management early warning system based on a BIM model includes a data input module, a data classification module and an abnormal supervision analysis module.
Referring to fig. 2, the data entry module is configured to enter data in the project progress into the BIM model; the data input module comprises a basic data input unit and a change data input unit, wherein the basic data input unit is used for inputting characteristic data of construction teams, operation teams, building materials and building parameters, and the change data input unit is used for inputting characteristic data of construction progress and environmental influence; the change data input unit comprises an update data input port and an environment database, the environment database is continuously updated according to the storage of the environment data, the environment database is in data connection with the update data input port, and the update data input port is used for inputting construction progress data; the environment database stores environment influence data outside the building, the environment influence data is input into the updated data input port, the environment database stores historical environment data of the area where the building is located, and the part of the historical environment data, which is associated with the technical scheme of the invention, is set as the environment influence data.
The data classification module is used for classifying data in the BIM model into qualitative analysis data and quantitative analysis data, wherein the qualitative analysis data comprises characteristic data of construction teams and operation teams, and the quantitative analysis data comprises characteristic data of building materials, construction progress, building parameters and environmental influence; qualitative analysis data represent evaluation indexes biased toward subjectivity, for example, about the strength of construction teams, but qualitative analysis data can be converted through specific quantitative indexes, for example, when characteristic data factors of an operation team are considered, operation scores and operation time length are selected as characteristic data of the operation team, so that subjective evaluation of the operation team can be converted through the quantifiable data of the operation scores and the operation time length, and digital support is provided for management of the whole life cycle of a project.
The data classification module is configured with a data feature selection policy, the data feature selection policy comprising: selecting design team defects and construction team defects as characteristic data of a construction team; design team defects include the number of building quality design defects and the building quality design defect level; the building mass design defect level comprises a first-level design defect, a second-level design defect and a third-level design defect; the construction team defects comprise the number of construction quality defects and the grade of construction quality defects; the building material quality construction defect level comprises a first-level construction defect, a second-level construction defect and a third-level construction defect; the number of building quality design defects and the number of building quality construction defects are respectively obtained according to historical data of a design team and a construction team, and the building quality design defects and the building quality construction defects both represent defects which affect the construction quality of a building, for example, the building quality design defects can be structural design defects of the building, particularly, the structure of a certain place of the building is easy to accumulate water, long-term accumulated water can erode the building, and therefore the quality of the place of the building is reduced, and the service life of the building is affected; the construction defects of the building materials can be construction problems existing in the construction process of construction teams, and particularly can be poor solidification effect caused by insufficient mixing of the construction materials; the defect problem can be obtained from a verification report of the team after the building is delivered; the quality influence of the building is scored by the building mass design defect grade and the building mass construction defect grade, and then the grade classification is carried out, wherein the building mass design defect grade and the building mass construction defect grade are respectively set to be a first grade, a second grade and a third grade, the defect severity of the first grade is higher than that of the second grade, and the defect severity of the second grade is higher than that of the third grade.
Selecting operation scores and operation time length as characteristic data of an operation team; the operation score refers to the overall score of the operation team by a user in the existing database, the operation duration is set according to the establishment period of the operation team, for example, when the operation team is a property company, different scores are provided for different property companies, a score standard of five times of full score is specifically adopted, and the operation duration is the establishment period of the property company.
Selecting the duty ratio of the core material as the characteristic data of the building material; wherein the duty ratio of the core material is the duty ratio of the usage mass of the core material to the overall estimated mass of the building; the concrete core material is the reinforcing steel bar, and in the building construction process of the concrete structure, the quality of the building can be better improved by matching the reinforcing steel bar with the concrete, and the use ratio of the reinforcing steel bar is positively correlated with the quality, and if the use ratio of the reinforcing steel bar is reduced in the building material, or the thickness and the strength of the reinforcing steel bar are insufficient, the whole construction quality of the building can be influenced.
Selecting the ratio of the actual completion of the construction to the expected completion of the construction as characteristic data of construction progress, and setting the ratio of the actual completion of the construction to the expected completion of the construction as the construction progress ratio; the actual completion of the construction is obtained through field investigation, specific characteristic data can be obtained through judging the number of floors of the building and the stage of the building, the expected completion of the construction is obtained through a construction target preset by a project, for example, when the construction is carried out, the finishing period in three years is preset, each small stage can be divided in the finishing period in three years, the actual completion condition of the construction is checked to judge the construction progress, and the data of the construction progress proportion can be obtained.
Selecting building height as characteristic data of building parameters; wherein, in the actual construction process, the higher the height of the building is, the more difficult the building is, the more the possibility of building flaws generated in the construction process is, and after the building is finished, the higher the height of the building is, the more the building is affected by external force, for example, the swing amplitude of the super high-rise building is obviously higher than that of the low-rise building in windy weather, and the loss of the super high-rise building is obviously increased.
The method comprises the steps of selecting the number of windy weather, rainfall and high-low temperature days as characteristic data of environmental influence, wherein the number of windy weather, the rainfall and the high-low temperature days are acquired through historical weather of an area where a building is located, data of the last year can be selected as references in practical application, the specific number of windy weather is set as the number of days that wind power of the area is larger than or equal to 6-level wind power in one year, the rainfall is set as the total rainfall of the area in one year, the high-low temperature days are the number of days that the highest temperature exceeds 35 ℃ and the lowest temperature is lower than-5 ℃ in one year in the area, the greater the rainfall is, the higher the wall erosion of the building is, and meanwhile the smaller the rainfall is, the problem of dry cracking of the building can be caused; the larger the wind power is, the higher the shaking influence on the high-rise building is, and the effect of wind erosion is also larger; the more the high temperature weather and the low temperature weather are, the higher the influence on the expansion and contraction of the building is.
The abnormal supervision analysis module comprises a weight setting unit, a period dividing unit and an analysis unit, wherein the period dividing unit is used for dividing the whole life cycle of the project into a construction stage and a use stage; the full life cycle of the project can be a part of the period process of the building from no to some, and can be consistent with the full life cycle of the building; for example: the full life cycle of an item may be the phase of a building from design to build delivery, or the phase of a building from design to end of life, which is the phase of a building from design to end of life.
The weight setting unit is used for setting weights for the classified data based on the stage division of the project full life cycle, and is configured with a weight setting strategy, and the weight setting strategy comprises: setting a first-level construction team coefficient, a first-level operation team coefficient, a first-level building material coefficient, a first-level construction progress duty coefficient, a first-level construction parameter coefficient and a first-level environment influence coefficient for characteristic data of a construction team, an operation team, building materials, construction progress duty ratio, building parameters and environment influence respectively in a construction stage, wherein the sum of the first-level construction team coefficient, the first-level operation team coefficient, the first-level building material coefficient, the first-level construction progress duty ratio coefficient, the first-level construction parameter coefficient and the first-level environment influence coefficient is equal to 1; the first-level construction team coefficient, the first-level operation team coefficient, the first-level building material coefficient, the first-level construction progress duty ratio coefficient, the first-level building parameter coefficient and the first-level environment influence coefficient are all larger than zero, and the first-level construction team coefficient, the first-level operation team coefficient, the first-level building material coefficient, the first-level construction progress duty ratio coefficient, the first-level building parameter coefficient and the first-level environment influence coefficient respectively represent the influence proportion of corresponding characteristic data in a construction stage. When specifically setting, the first-level construction team coefficient, the first-level operation team coefficient, the first-level building material coefficient, the first-level construction progress duty coefficient, the first-level building parameter coefficient and the first-level environmental impact coefficient are respectively set to a1, a2, a3, a4, a5 and a6, further, a1 is set to 0.2, a2 is set to 0.1, a3 is set to 0.3, a4 is set to 0.2, a5 is set to 0.1, and a6 is set to 0.1.
Setting a secondary construction team coefficient, a secondary operation team coefficient, a secondary construction material coefficient, a secondary construction progress coefficient and a secondary environment influence coefficient for characteristic data of a construction team, an operation team, a building material, a construction progress rate, a construction parameter and an environment influence respectively in a use stage, wherein the sum of the secondary construction team coefficient, the secondary operation team coefficient, the secondary construction material coefficient, the secondary construction progress coefficient, the secondary construction parameter coefficient and the secondary environment influence coefficient is equal to 1, the secondary construction team coefficient, the secondary operation team coefficient, the secondary construction material coefficient, the secondary construction progress coefficient, the secondary construction parameter coefficient and the secondary environment influence coefficient are all larger than zero, and the secondary construction team coefficient, the secondary operation team coefficient, the secondary construction material coefficient, the secondary construction progress rate coefficient, the secondary construction parameter coefficient and the secondary environment influence coefficient respectively represent the influence proportion of corresponding characteristic data in the use stage; wherein, in the construction stage and the use stage, the specific gravity of the influence of the construction team, the operation team, the construction material, the construction progress ratio, the construction parameters and the characteristic data of the environmental influence on the building is also different, for example, since the construction team, the construction material and the construction progress ratio influence the quality of the construction, the influence specific gravity of the construction team, the construction material and the construction progress ratio is larger in the construction stage; in the use phase, the continuous maintenance phase of the building is mainly performed, so that the influence proportion of operation team, building parameters and environmental influence is large. When the method is specifically set, the secondary construction team coefficient, the secondary operation team coefficient, the secondary building material coefficient, the secondary construction progress duty ratio coefficient, the secondary building parameter coefficient and the secondary environment influence coefficient are respectively set to b1, b2, b3, b4, b5 and b6, further, b1 is set to 0.1, b2 is set to 0.2, b3 is set to 0.1, b4 is set to 0.1, b5 is set to 0.2 and b6 is set to 0.3.
The analysis unit is used for analyzing and calculating the data in the BIM model of each stage to obtain a project management reference value of the building of each stage, comparing the project management reference value of the building of each stage with a corresponding project management standard value, and outputting a corresponding early warning signal according to the comparison result.
The analysis unit is configured with a basic calculation strategy comprising: setting the number of building mass design defects of the primary design defect, the secondary design defect and the tertiary design defect as the number of the primary design defect, the number of the secondary design defect and the number of the tertiary design defect respectively; setting the number of construction quality construction defects of the first-level construction defects, the second-level construction defects and the third-level construction defects as the number of the first-level construction defects, the number of the second-level construction defects and the number of the third-level construction defects respectively; setting a primary index for the number of primary design defects and the number of primary construction defects, setting a secondary index for the number of secondary design defects and the number of secondary construction defects, and setting a tertiary index for the number of tertiary design defects and the number of tertiary construction defects, wherein the defect severity of the primary design defects, the secondary design defects and the tertiary design defects is gradually reduced, and the defect severity of the primary construction defects, the secondary construction defects and the tertiary construction defects is gradually reduced, so that the primary index is greater than the secondary index, the secondary index is greater than the tertiary index, the primary index, the secondary index and the tertiary index are respectively set to Z1, Z2 and Z3, further Z3 is set to 3, Z2 is set to 2, and Z1 is set to 1.
Adding the number of the first-stage design defects and the number of the first-stage construction defects, giving a first-stage index to obtain a first-stage defect reference value, adding the number of the second-stage design defects and the number of the second-stage construction defects, giving a second-stage index to obtain a second-stage defect reference value, adding a third-stage design defect number and a third-stage construction defect number, giving a third-stage index to obtain a third-stage defect reference value, adding the first-stage defect reference value, the second-stage defect reference value and the third-stage defect reference value to obtain a negative influence value of construction team feature data, and comparing the negative influence value of the construction team feature data with the standard reference value of the construction team feature data to obtain a proportion value of the construction team feature data, wherein the calculation process of the negative influence value of the construction team feature data can be calculated through a formula:
P js =（S1 sj +S1 sg ） Z1 +（S2 sj +S2 sg ） Z2 +（S3 sj +S3 sg ） Z3 ；
wherein P is js Negative influence value for construction team characteristic data S1 sj For designing the defect number of one stage, S1 sg S2, the number of the first-stage construction defects is sj For designing the defect number of the second level, S2 sg S3, for the number of the second-level construction defects sj For designing defect number of three stages, S3 sg For three-stage construction defect number, e.g. when Z1 is 3, Z2 is 2, Z1 is 1, S1 sj 、S1 sg 、S2 sj 、S2 sg 、S3 sj S3 sg When 1, 2, and 2 are respectively, P is obtained js And 28, setting a standard reference value of the feature data of the construction team by referring to an average level in an actual process, specifically setting 25, and obtaining a proportion value of the feature data of the construction team as 1.12. When the proportion value is calculated, the last two bits of the decimal point are selected for rounding.
Multiplying the selected operation scores and the operation time length to obtain an operation team feature data forward influence value, and comparing the operation team feature data standard reference value with the operation team feature data forward influence value to obtain an operation team feature data proportion value; in specific implementation, the operation score of the obtained operation team is 4.5, the operation duration is 5, the forward influence value of the obtained operation team feature data is 22.5, the operation team feature data standard reference value is set according to the average level of the operation team, and can be specifically set to 25, and the obtained operation team feature data proportion value is 1.11.
Comparing the standard duty ratio of the core material with the duty ratio of the core material to obtain a characteristic data proportion value of the building material; the standard ratio of the core material is set with reference to the average level of the existing building materials, for example, the ratio of the reinforcing steel bars of the core material in the average level of the existing building materials is 10%, wherein the ratio can be used as a judging standard according to the manufacturing cost, the standard ratio of the core material can be specifically set to be 10%, the ratio of the obtained core material is 8% when the method is specifically implemented, and the obtained building material characteristic data proportion value is 1.25.
Setting the reciprocal of the construction progress ratio as a construction progress characteristic data proportion value; in the concrete implementation, the actual completion degree of the construction is 30%, the expected completion degree of the construction is 40%, the construction progress is 0.75, the reciprocal of the construction progress is 1.33, and the construction progress characteristic data proportion value is 1.33;
comparing the building height with a height standard reference value to obtain a building parameter characteristic data proportion value; in the concrete implementation, the height standard reference value is set to be 150m, the building height is 220m, and the obtained building parameter characteristic data proportion value is 1.47.
Setting a rainfall days conversion ratio for rainfall, multiplying the rainfall by the rainfall days conversion ratio to obtain rainfall conversion days, wherein in specific implementation, the annual rainfall is based on 600mm, the corresponding 600mm can be converted into 50 days, and the corresponding rainfall days conversion ratio is approximately equal to 0.08, for example, the annual rainfall in the area is 800m, and the obtained rainfall conversion days are 64;
and adding the rainfall conversion days, the weather quantity of strong wind and the high and low temperature days to obtain an environmental days influence value, and comparing the environmental days influence value with an environmental days influence reference value to obtain an environmental influence characteristic data proportion value. In specific implementation, the number of days for rainfall conversion is 64, the number of windy weather is 50, the number of days for high temperature and low temperature is 50, the influence value of the number of days for environment is 164, the influence reference value of the number of days for environment is 150, and the proportion value of the characteristic data of environmental influence is 1.09.
The analysis unit is further configured with a build phase impact analysis strategy comprising: multiplying a construction team characteristic data proportion value, an operation team characteristic data proportion value, a building material characteristic data proportion value, a construction progress characteristic data proportion value, a construction parameter characteristic data proportion value and an environment influence characteristic data proportion value with a primary construction team coefficient, a primary operation team coefficient, a primary building material coefficient, a primary construction progress proportion coefficient, a primary building parameter coefficient and a primary environment influence coefficient respectively, and adding to obtain a project management reference value of a construction stage; the project management reference values of the construction stage are calculated according to the values obtained in the implementation, a1 is set to 0.2, a2 is set to 0.1, a3 is set to 0.3, a4 is set to 0.2, a5 is set to 0.1, a6 is set to 0.1, the construction team feature data proportion value is 1.12, the operation team feature data proportion value is 1.11, the building material feature data proportion value is 1.25, the construction progress feature data proportion value is 1.33, the building parameter feature data proportion value is 1.47, the environment influence feature data proportion value is 1.09, and the specific calculation process is as follows:
0.2*1.12+0.1*1.11+0.3*1.25+0.2*1.33+0.1*1.47+0.1*1.09=1.232；
Subtracting the project management standard value from the project management reference value of the construction stage to obtain a project early warning value of the construction stage, and outputting a construction stage early warning signal when the project early warning value of the construction stage is larger than or equal to a first management threshold value, wherein the project management standard value is set to be 1, the project management standard value refers to the existing database, the average value of project management reference values of a plurality of buildings reaching the standard is obtained, and the value range of the first management threshold value is 0.1-0.5. In specific implementation, the first management threshold is set to 0.2,1.232-1=0.232 and 0.232>0.2, so that a construction stage early warning signal is output.
The analysis unit is further configured with a usage phase impact analysis strategy comprising: multiplying a construction team characteristic data proportion value, an operation team characteristic data proportion value, a building material characteristic data proportion value, a construction progress characteristic data proportion value, a building parameter characteristic data proportion value and an environment influence characteristic data proportion value with a secondary construction team coefficient, a secondary operation team coefficient, a secondary building material coefficient, a secondary construction progress duty ratio coefficient, a secondary building parameter coefficient and a secondary environment influence coefficient respectively, and then adding to obtain a project management reference value in a use stage; the project management reference values in the using stage are calculated according to the values obtained in the implementation, b1 is set to 0.1, b2 is set to 0.2, b3 is set to 0.1, b4 is set to 0.1, b5 is set to 0.2, b6 is set to 0.3, the construction team feature data proportion value is 1.12, the operation team feature data proportion value is 1.11, the building material feature data proportion value is 1.25, the construction progress feature data proportion value is 1.33, the building parameter feature data proportion value is 1.47, the environment influence feature data proportion value is 1.09, and the specific calculation process is as follows:
0.1*1.12+0.2*1.11+0.1*1.25+0.1*1.33+0.2*1.47+0.3*1.09=1.213；
Subtracting the project management standard value from the project management reference value of the use stage to obtain a use stage project early warning value, outputting a use stage early warning signal when the use stage project early warning value is larger than or equal to a second management threshold value, wherein the value range of the second management threshold value is 0.15-0.5, and setting the second management threshold value to 0.2,1.213-1=0.213 and 0213>0.2 when the use stage early warning signal is output.
Working principle: the method comprises the steps that firstly, data in a project progress process can be input into a BIM model through a data input module, corresponding data can be provided for data analysis of different periodic stages of the project of a building through continuous data input, and the data in the BIM model can be divided into qualitative analysis data and quantitative analysis data through a data classification module; then, dividing the full life cycle of the project into a construction stage and a use stage; setting weights for the classified data based on the stage division of the project full life cycle; the data in the BIM model of each stage is analyzed and calculated to obtain project management reference values of the building of each stage, the project management reference values of the building of each stage are compared with corresponding project management standard values, corresponding early warning signals are output according to the comparison results, multiple groups of related data in the project period process of the building can be integrated, and therefore early warning is carried out on building construction and use states of different stages of the project.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein. The storage medium may be implemented by any type or combination of volatile or nonvolatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), erasable Programmable Read-Only Memory (ErasableProgrammable Read Only Memory, EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be another division manner in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some feature data may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
Claims (3)
1. The project full life cycle digital management early warning system based on the BIM model is characterized by comprising a data input module, a data classification module and an abnormal supervision and analysis module, wherein the data input module is used for inputting data in a project progress process into the BIM model;
the data classification module is used for classifying data in the BIM into qualitative analysis data and quantitative analysis data, wherein the qualitative analysis data comprises characteristic data of construction teams and operation teams, and the quantitative analysis data comprises characteristic data of building materials, construction progress, building parameters and environmental influence;
The abnormal supervision analysis module comprises a weight setting unit, a period dividing unit and an analysis unit, wherein the period dividing unit is used for dividing the whole life cycle of the project into a construction stage and a use stage; the weight setting unit is used for setting weights for the classified data based on the stage division of the project full life cycle; the analysis unit is used for analyzing and calculating the data in the BIM model of each stage to obtain a project management reference value of the building of each stage, comparing the project management reference value of the building of each stage with a corresponding project management standard value, and outputting a corresponding early warning signal according to the comparison result;
the data classification module is configured with a data feature selection policy, the data feature selection policy comprising: selecting design team defects and construction team defects as characteristic data of a construction team; design team defects include the number of building quality design defects and the building quality design defect level; the building mass design defect level comprises a first-level design defect, a second-level design defect and a third-level design defect; the construction team defects comprise the number of construction quality defects and the grade of construction quality defects; the building material quality construction defect level comprises a first-level construction defect, a second-level construction defect and a third-level construction defect;
Selecting operation scores and operation time length as characteristic data of an operation team;
selecting the duty ratio of the core material as the characteristic data of the building material;
selecting the ratio of the actual completion of the construction to the expected completion of the construction as characteristic data of construction progress, and setting the ratio of the actual completion of the construction to the expected completion of the construction as the construction progress ratio;
selecting building height as characteristic data of building parameters;
selecting the quantity of windy weather, rainfall and days at high and low temperatures as characteristic data of environmental influence;
the weight setting unit is configured with a weight setting policy including: setting a first-level construction team coefficient, a first-level operation team coefficient, a first-level building material coefficient, a first-level construction progress duty coefficient, a first-level construction parameter coefficient and a first-level environment influence coefficient for characteristic data of a construction team, an operation team, building materials, construction progress duty ratio, building parameters and environment influence respectively in a construction stage, wherein the first-level construction team coefficient, the first-level operation team coefficient, the first-level building material coefficient, the first-level construction progress duty ratio, the first-level construction parameter coefficient and the first-level environment influence coefficient are all larger than zero, and the sum of the first-level construction team coefficient, the first-level operation team coefficient, the first-level building material coefficient, the first-level construction progress duty ratio coefficient, the first-level building parameter coefficient and the first-level environment influence coefficient is equal to 1;
Setting a secondary construction team coefficient, a secondary operation team coefficient, a secondary construction material coefficient, a secondary construction progress coefficient, a secondary construction parameter coefficient and a secondary environment influence coefficient for characteristic data of a construction team, an operation team, a building material, a construction progress proportion, a building parameter and an environment influence respectively in a use stage, wherein the secondary construction team coefficient, the secondary operation team coefficient, the secondary building material coefficient, the secondary construction progress coefficient, the secondary construction parameter coefficient and the secondary environment influence coefficient are all larger than zero, and the sum of the secondary construction team coefficient, the secondary operation team coefficient, the secondary building material coefficient, the secondary construction progress proportion coefficient, the secondary construction parameter coefficient and the secondary environment influence coefficient is equal to 1;
the analysis unit is configured with a basic calculation strategy comprising: setting the number of building mass design defects of the primary design defect, the secondary design defect and the tertiary design defect as the number of the primary design defect, the number of the secondary design defect and the number of the tertiary design defect respectively;
setting the number of construction quality construction defects of the first-level construction defects, the second-level construction defects and the third-level construction defects as the number of the first-level construction defects, the number of the second-level construction defects and the number of the third-level construction defects respectively;
Setting a first-order index for the first-order design defect number and the first-order construction defect number, setting a second-order index for the second-order design defect number and the second-order construction defect number, setting a third-order index for the third-order design defect number and the third-order construction defect number,
adding the number of the first-stage design defects and the number of the first-stage construction defects, giving a first-stage index to obtain a first-stage defect reference value, adding the number of the second-stage design defects and the number of the second-stage construction defects, giving a second-stage index to obtain a second-stage defect reference value, adding the number of the third-stage design defects and the number of the third-stage construction defects, giving a third-stage index to obtain a third-stage defect reference value; adding the first-level defect reference value, the second-level defect reference value and the third-level defect reference value to obtain a negative influence value of the construction team feature data, and comparing the negative influence value of the construction team feature data with the standard reference value of the construction team feature data to obtain a proportion value of the construction team feature data;
multiplying the selected operation scores and the operation time length to obtain an operation team feature data forward influence value, and comparing the operation team feature data standard reference value with the operation team feature data forward influence value to obtain an operation team feature data proportion value;
Comparing the standard duty ratio of the core material with the duty ratio of the core material to obtain a characteristic data proportion value of the building material;
setting the reciprocal of the construction progress ratio as a construction progress characteristic data proportion value;
comparing the building height with a height standard reference value to obtain a building parameter characteristic data proportion value;
setting a rainfall days conversion ratio for rainfall, multiplying the rainfall by the rainfall days conversion ratio to obtain rainfall conversion days, adding the rainfall conversion days, the weather quantity of strong wind and the high and low temperature days to obtain an environmental days influence value, and comparing the environmental days influence value with an environmental days influence reference value to obtain an environmental influence characteristic data proportion value;
the analysis unit is further configured with a build phase impact analysis strategy comprising: multiplying a construction team characteristic data proportion value, an operation team characteristic data proportion value, a building material characteristic data proportion value, a construction progress characteristic data proportion value, a construction parameter characteristic data proportion value and an environment influence characteristic data proportion value with a primary construction team coefficient, a primary operation team coefficient, a primary building material coefficient, a primary construction progress proportion coefficient, a primary building parameter coefficient and a primary environment influence coefficient respectively, and adding to obtain a project management reference value of a construction stage;
Subtracting the project management standard value from the project management reference value of the construction stage to obtain a project early warning value of the construction stage, and outputting a construction stage early warning signal when the project early warning value of the construction stage is larger than or equal to a first management threshold value, wherein the project management standard value is set to be 1, and the value range of the first management threshold value is 0.1-0.5.
2. The project full life cycle digital management early warning system based on the BIM model according to claim 1, wherein the data input module comprises a basic data input unit and a change data input unit, the basic data input unit is used for inputting characteristic data of construction teams, operation teams, building materials and building parameters, and the change data input unit is used for inputting characteristic data of construction progress and environmental influence;
the change data input unit comprises an update data input port and an environment database, wherein the environment database is in data connection with the update data input port, and the update data input port is used for inputting construction progress data; the environment database stores environment influence data outside the building, and inputs the environment influence data into the update data input port.
3. The system of claim 1, wherein the analysis unit is further configured with a usage stage impact analysis strategy, the usage stage impact analysis strategy comprising: multiplying a construction team characteristic data proportion value, an operation team characteristic data proportion value, a building material characteristic data proportion value, a construction progress characteristic data proportion value, a building parameter characteristic data proportion value and an environment influence characteristic data proportion value with a secondary construction team coefficient, a secondary operation team coefficient, a secondary building material coefficient, a secondary construction progress duty ratio coefficient, a secondary building parameter coefficient and a secondary environment influence coefficient respectively, and then adding to obtain a project management reference value in a use stage;
subtracting the project management standard value from the project management reference value of the use stage to obtain a project early warning value of the use stage, and outputting a use stage early warning signal when the project early warning value of the use stage is larger than or equal to a second management threshold value, wherein the value range of the second management threshold value is 0.15-0.5.
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