CN114493477B - Building cost multidimensional statistics method and system based on BIM - Google Patents
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Abstract
The invention discloses a building cost multidimensional statistical method and system based on BIM, wherein the method comprises the following steps: obtaining first building list information of a plurality of constructed completed items according to the BIM; respectively obtaining first cost information, second cost information and third cost information corresponding to the plurality of constructed completed projects according to the first cost type, the second cost type and the third cost type, and establishing a first cost statistical model; after the second building information of the to-be-built completion project is input into the first cost statistical model, corresponding first output information is obtained; obtaining first budget information of the second building information, and determining whether to obtain a first execution instruction according to the first output information; and if so, starting the first construction instruction after carrying out statistical storage according to all cost information of the first execution instruction. The method solves the technical problems of imperfect construction cost statistical method and low management efficiency in the prior art.
Description
Technical Field
The invention relates to the field of building cost correlation, in particular to a building cost multidimensional statistical method and system based on BIM.
Background
Along with the industrial upgrading of the building industry in China and the realization of sustainable development, the status of the building industry in China is increasingly promoted, and at present, building resources are continuously optimized based on the informatization management of enterprises, in particular to the control of construction process and engineering cost. Cost management is formulated according to the competition strategy of enterprises and the economic environment, wherein cost management is an important approach for enterprises to increase the benefits of the enterprises, and is also an important measure for increasing the competitive advantage of the enterprises, so statistics of the construction cost of the enterprises are important in cost management.
However, in the process of implementing the technical scheme of the embodiment of the application, the inventor discovers that the above technology has at least the following technical problems:
in the prior art, the construction cost statistical method is imperfect and the management efficiency is low.
Disclosure of Invention
The embodiment of the application solves the technical problems of imperfect construction cost statistics method and low management efficiency in the prior art by providing the construction cost multidimensional statistics method and system based on BIM, and achieves the technical effect of realizing high-efficiency statistics by carrying out multidimensional statistics on construction cost.
In view of the above problems, an embodiment of the present application provides a building cost multidimensional statistics method and system based on BIM.
In a first aspect, an embodiment of the present application provides a building cost multidimensional statistical method based on BIM, the method is applied to a building management system, and the building management system has a audit module, wherein the method includes: obtaining first building list information according to a BIM model, wherein the first building list information comprises a plurality of built items; obtaining a plurality of cost type information, wherein the cost type information comprises a first cost type, a second cost type and a third cost type; obtaining first cost information of the plurality of constructed completed items according to the first cost type; obtaining second cost information of the plurality of constructed completed items according to the second cost type; obtaining third cost information of the plurality of constructed completed items according to the third cost type; establishing a first cost statistical model according to the first cost information, the second cost information and the third cost information; obtaining second building information, wherein the second building is a to-be-built completion project; after the second building information is input into the first cost statistical model, first output information of the first cost statistical model is obtained, wherein the first output information comprises fourth cost information, fifth cost information and sixth cost information of the second building information; obtaining first budget information of the second building information; determining whether a first execution instruction is obtained or not according to the first output information and the first budget information; and if the first execution instruction is required to be obtained, starting the first construction instruction after the fourth cost information, the fifth cost information and the sixth cost information are statistically stored according to the first execution instruction.
In another aspect, the present application also provides a building cost multidimensional statistical system based on BIM, the system comprising: the first obtaining unit is used for obtaining first building list information according to the BIM model, wherein the first building list information comprises a plurality of built items; a second obtaining unit configured to obtain a plurality of cost type information, where the plurality of cost type information includes a first cost type, a second cost type, and a third cost type; a third obtaining unit configured to obtain first cost information of the plurality of constructed completed items according to the first cost type; a fourth obtaining unit configured to obtain second cost information of the plurality of constructed completed items according to the second cost type; a fifth obtaining unit configured to obtain third cost information of the plurality of constructed completed items according to the third cost type; the first establishing unit is used for establishing a first cost statistical model according to the first cost information, the second cost information and the third cost information; a sixth obtaining unit, configured to obtain second building information, where the second building is a to-be-built completion item; the first input unit is used for obtaining first output information of the first cost statistical model after the second building information is input into the first cost statistical model, wherein the first output information comprises fourth cost information, fifth cost information and sixth cost information of the second building information; a seventh obtaining unit configured to obtain first budget information of the second building information; the first determining unit is used for determining whether a first execution instruction is obtained or not according to the first output information and the first budget information; and the first statistics unit is used for starting the first construction instruction after the fourth cost information, the fifth cost information and the sixth cost information are statistically stored according to the first execution instruction if the first execution instruction is required to be obtained.
In a third aspect, the present application provides a building cost multidimensional statistical system based on BIM, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
the first building list information of the built completed project is obtained through the BIM model, and then cost types in the building list information are analyzed to respectively obtain first fixed cost information of a first cost type, first dynamic cost information of a second cost type and first emotion cost information of a third cost type in the built completed project, and a first cost statistical model is built based on the three cost information. And further inputting second building information into the first cost statistical model to obtain corresponding fourth, fifth and sixth cost information. Based on the cost of the completed building project, the cost information of the project to be completed is acquired and the cost budget is carried out, so that the cost is counted and stored, and then whether the project is constructed or not is judged, and the technical effects of accurately counting the cost of the building project in multiple dimensions and improving the counting efficiency are achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a flow chart of a building cost multi-dimensional statistical method based on BIM according to an embodiment of the application;
FIG. 2 is a schematic diagram of a building cost multi-dimensional statistical system based on BIM according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Reference numerals illustrate: the first obtaining unit 11, the second obtaining unit 12, the third obtaining unit 13, the fourth obtaining unit 14, the fifth obtaining unit 15, the first establishing unit 16, the sixth obtaining unit 17, the first input unit 18, the seventh obtaining unit 19, the first determining unit 20, the first statistics unit 21, the bus 300, the receiver 301, the processor 302, the transmitter 303, the memory 304, the bus interface 306.
Detailed Description
The embodiment of the application solves the technical problems of imperfect construction cost statistics method and low management efficiency in the prior art by providing the construction cost multidimensional statistics method and system based on BIM, and achieves the technical effect of realizing high-efficiency statistics by carrying out multidimensional statistics on construction cost. Hereinafter, exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
Summary of the application
Along with the industrial upgrading of the building industry in China and the realization of sustainable development, the status of the building industry in China is increasingly promoted, and at present, building resources are continuously optimized based on the informatization management of enterprises, in particular to the control of construction process and engineering cost. Cost management is formulated according to the competition strategy of enterprises and the economic environment, wherein cost management is an important approach for enterprises to increase the benefits of the enterprises, and is also an important measure for increasing the competitive advantage of the enterprises, so statistics of the construction cost of the enterprises are important in cost management. However, the prior art has the technical problems of imperfect construction cost statistics method and low management efficiency.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
the embodiment of the application provides a building cost multi-dimensional statistical method based on BIM, which is applied to a building management system, and the building management system is provided with a audit module, wherein the method comprises the following steps: obtaining first building list information according to a BIM model, wherein the first building list information comprises a plurality of built items; obtaining a plurality of cost type information, wherein the cost type information comprises a first cost type, a second cost type and a third cost type; obtaining first cost information of the plurality of constructed completed items according to the first cost type; obtaining second cost information of the plurality of constructed completed items according to the second cost type; obtaining third cost information of the plurality of constructed completed items according to the third cost type; establishing a first cost statistical model according to the first cost information, the second cost information and the third cost information; obtaining second building information, wherein the second building is a to-be-built completion project; after the second building information is input into the first cost statistical model, first output information of the first cost statistical model is obtained, wherein the first output information comprises fourth cost information, fifth cost information and sixth cost information of the second building information; obtaining first budget information of the second building information; determining whether a first execution instruction is obtained or not according to the first output information and the first budget information; and if the first execution instruction is required to be obtained, starting the first construction instruction after the fourth cost information, the fifth cost information and the sixth cost information are statistically stored according to the first execution instruction.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides a building cost multidimensional statistics method based on BIM, the method is applied to a building management system, and the building management system has a audit module, the method includes:
step S100: obtaining first building list information according to a BIM model, wherein the first building list information comprises a plurality of built items;
specifically, the BIM model is a building information model (Building Information Modeling), which is a model based on various relevant information data of a building engineering project, and is constructed by simulating real information of a building through digital information and has a plurality of characteristics, and the completed projects can be analyzed by obtaining the information of the completed projects, wherein each completed project in the first building list information has a complete construction process, and the data processing capability is improved, the high efficiency of cost analysis is realized, and further, data sources are provided for the following statistics based on the analysis of the BIM model.
Step S200: obtaining a plurality of cost type information, wherein the cost type information comprises a first cost type, a second cost type and a third cost type;
in particular, the first cost type is a fixed cost; the second cost type is a dynamic cost; the third cost type is emotional cost. The cost types are classified into different categories according to different requirements of cost accounting and cost management, wherein the cost types of the different categories can be classified according to different analysis modes, planning of cost management is completed through multidimensional further analysis of the cost, management thought is provided for specific cost management, management efficiency is improved when enterprises conduct cost management, and different cost types can be flexibly checked and adjusted.
Step S300: obtaining first cost information of the plurality of constructed completed items according to the first cost type;
specifically, the first cost type is fixed cost, the first cost information is fixed cost such as material money and the like included in the established project, for example, production cost is calculated into direct and indirect cost of product cost, operation cost of asset flowing in the operation process, unavoidable cost generated by the production process and construction scheme change, technical cost of labor funds paid in the project construction process and the like, and the fixed cost can be comprehensively counted to effectively implement statistics through further refinement of the fixed cost, so that information sources are provided for the following statistical process.
Step S400: obtaining second cost information of the plurality of constructed completed items according to the second cost type;
specifically, the second cost type is dynamic cost, the second cost information is information including the influence cost of dynamic change factors in the completed project, for example, including the time cost delayed by changing the project, the construction time cost in the process of construction, the weather cost caused by the influence of weather change factors on the construction, the complexity cost of external environment such as the market change cost of economic development and the like can be used as the dynamic cost, and the second cost information is obtained to further perfect the content of cost statistics.
Step S500: obtaining third cost information of the plurality of constructed completed items according to the third cost type;
specifically, the third cost type is emotion cost, and the third cost information is information including cost due to emotion influence in the constructed completion project. The emotion can form negative emotion change of project managers based on high risk generated after building project evaluation, or can be based on positive emotion influence generated after success of multiple building projects, so that progress is accelerated, decision is more reasonable, and cost information from emotion dimension is obtained.
Step S600: establishing a first cost statistical model according to the first cost information, the second cost information and the third cost information;
specifically, the first cost statistical model is built based on a neural network model, has characteristics of the neural network model, further carries out further analysis on the first cost information, the second cost information and the third cost information, wherein the first building list information comprises a plurality of built items in the analysis process, the main characteristics of cost expenditure are determined by carrying out cost analysis on past historical item information, the first cost statistical model is built, an artificial neural network is an abstract mathematical model which is proposed and developed on the basis of modern neuroscience and aims at reflecting the structure and the function of a human brain, the neural network is an operation model and is formed by interconnecting a large number of nodes (or called neurons), the first cost statistical model built based on the neural network model can output accurate data information, so that the statistical model has strong statistical capability, and the technical effects of building a multi-dimensional statistical model and accurately outputting a statistical result are achieved based on the characteristics of efficient data processing of a BIM model.
Step S700: obtaining second building information, wherein the second building is a to-be-built completion project;
step S800: after the second building information is input into the first cost statistical model, first output information of the first cost statistical model is obtained, wherein the first output information comprises fourth cost information, fifth cost information and sixth cost information of the second building information;
specifically, the second building information is input into the first cost statistics model, the third cost information is established based on the first cost information and the second cost information, cost analysis is performed on past history item information, main characteristics of cost expenditure are determined, so that an unbuilt item is analyzed, corresponding multi-dimensional cost information is output, the fourth cost information corresponds to fixed cost of the unbuilt item, and the fifth cost information corresponds to dynamic cost of the unbuilt item, the sixth cost information corresponds to emotion cost of the unbuilt item, and therefore technical effects that statistics of the unbuilt item based on the finished building item is achieved, and accuracy and effectiveness of model statistics are improved are achieved.
Step S900: obtaining first budget information of the second building information;
specifically, the first budget information is a cost budget preset during enterprise project construction, and the cost information required by the second building after construction is maintained is counted to obtain information, and then the information is connected with the budget information to be compared to generate a cost statistics report, so that relevant management personnel can make decisions to avoid production waste, and accordingly enterprises can continuously improve cost management measures and improve cost management level.
Step S1000: determining whether a first execution instruction is obtained or not according to the first output information and the first budget information;
step S1100: and if the first execution instruction is required to be obtained, starting the first construction instruction after the fourth cost information, the fifth cost information and the sixth cost information are statistically stored according to the first execution instruction.
Specifically, the first output information is output information obtained after the second building information is input into the first cost statistical model. And calculating whether the project cost accords with a cost target according to the first output information and the first budget information, determining whether the project cost is required to be executed, and storing cost information generated in corresponding dimensions if the project cost is required to be executed, so that the technical effect of realizing high-efficiency statistics by carrying out multi-dimension statistics on the building cost is achieved.
Further, after the second building information is input into the first cost statistical model, the step S800 of the embodiment of the present application further includes:
step S810: inputting the second building information into the first cost statistical model, the model being trained using a plurality of sets of training data, each set of training data comprising: the second building information and the identification information for identifying the first result;
step S820: obtaining first output information of the first cost statistical model, wherein the output information comprises the first result, wherein the first result comprises fourth cost information, fifth cost information and sixth cost information of the second building information, and the fourth cost information, the fifth cost information and the sixth cost information are in one-to-one correspondence with the first cost type, the second cost type and the third cost type.
Specifically, the first cost statistical model is trained by taking a neural network model as a prototype building model, wherein an artificial neural network is an abstract mathematical model which is proposed and developed on the basis of modern neuroscience and aims at reflecting the structure and the function of the human brain, and the neural network is an operation model and is formed by connecting a large number of nodes (or neurons). Each node represents a specific output function called an excitation function, the connection between every two nodes represents a weight value for the signal passing through the connection, which is equivalent to the memory of an artificial neural network, and the output of the network is expressed as a logic strategy according to the connection mode of the network. Further, the neural network model is a model described based on a mathematical model of neurons, which is obtained through training of a large amount of training data. Furthermore, the training process is essentially a supervised learning process, each set of supervised data includes the second building information and the identification information for identifying the first result, the neural network model performs continuous self-correction and adjustment until the obtained output result is consistent with the identification information, and the data supervised learning of the set is ended, so that the data supervised learning of the next set is performed. And when the output information of the neural network model reaches the preset accuracy rate/reaches a convergence state, ending the supervised learning process. Through the supervised learning of the neural network model, the neural network model is enabled to process the output information more accurately, and further the technical effects of the fourth cost information, the fifth cost information and the sixth cost information of the second building information are obtained more accurately.
Further, the step S600 of the embodiment of the present application further includes:
step S610: dividing the first cost information, the second cost information and the third cost information according to a preset rule to obtain first class data information and second class data information;
step S620: respectively obtaining a first weighting coefficient and a second weighting coefficient corresponding to the first class data information and the second class data information;
step S630: obtaining first statistical data according to the first class data information and the first weighting coefficient, and obtaining second statistical data according to the second class data information and the second weighting coefficient;
step S640: and establishing the first cost statistical model according to the first statistical data and the second statistical data.
Specifically, the preset rule is a preset cost division rule, the first type of data information is stable cost data which is kept unchanged in the first cost information, the second cost information and the third cost information, and the second type of data information is variable cost which is frequently floated. And then carrying out weighted calculation on the fixed cost and the variable cost, wherein the fixed stable total cost information and the variable total cost information are respectively obtained after the weighted calculation is carried out by dividing the weight values of the two types of data, and then establishing the first cost statistical model.
Further, the determining whether to obtain the first execution instruction according to the first output information and the first budget information in step S1000 further includes:
step S1010: taking the first budget information as an abscissa;
step S1020: taking the first output information as an ordinate to construct a two-dimensional rectangular coordinate system;
step S1030: constructing a logistic regression line in the two-dimensional rectangular coordinate system according to a logistic regression model to obtain a first budget control model, wherein one side of the logistic regression line represents a first result, the other side of the logistic regression line represents a second result, and the first result is a result that the first output information meets the first budget information; the second result is a result that the first output information does not meet the first budget information;
step S1040: and when the output result of the first budget control model is the first result, obtaining the first execution instruction.
Specifically, the first budget information is project construction cost budget data information approved by a project declaration related decision maker, the first output information is statistical data information obtained by inputting the second construction information into the first cost statistical model, and further logistic regression analysis is performed according to the first budget information and the first output information to obtain a regression result whether budget is met, wherein the logistic regression (Logistic Regression) is a supervised statistical learning method and is mainly used for classifying samples. The logistic regression is a common method for classifying tasks in machine learning, belongs to a generalized linear model, has good mathematical properties, can be used for solving the optimal solution by a plurality of existing numerical optimization algorithms, analyzes the cost based on the training accuracy and rapidity, and can help to ensure the accuracy of the project in the early stage and improve the accuracy of the cost budget management data of enterprises by changing the original cost management mode of the enterprises.
Further, the embodiment of the application further comprises:
step S1031: when the output result of the first budget control model is the second result, third building information is obtained according to the first building list information, wherein the third building information is the first building list information and has the highest similarity with the second building information;
step S1032: obtaining a first adjustment instruction;
step S1033: and according to the first adjusting instruction, adjusting the first budget information according to the third building information, and/or adjusting the fourth cost information, and/or adjusting the fifth cost information, and/or adjusting the sixth cost information.
Specifically, the second result is a result that the first output information does not meet the first budget information, that is, if the statistics cost exceeds the budget cost after the cost statistics is performed on the project to be built, third building information with highest similarity to the construction project is obtained from the first building list, so that adjustment of the approved budget cost data information is started, finally adjusted report information can be generated and sent to relevant decision makers of enterprises, the decision makers refer to the current existing fund situation and relevant economic benefits, management of the project current period cost budget is achieved, and management efficiency is improved.
Further, the embodiment of the application further comprises:
step S1210: obtaining a first disassembly instruction;
step S1220: according to the first dismantling instruction, dismantling the fourth cost information to obtain a plurality of index information;
step S1230: establishing a first dimension worksheet according to the index information;
step S1240: obtaining a first storage instruction;
step S1250: and storing the first dimension worksheet in the auditing module according to the first storage instruction.
Specifically, the first disassembly instruction is applied to the fourth cost information, the fifth cost information and the sixth cost information, and then according to the cost information, index decomposition is performed to obtain multi-index information, such as index information of a building method, a machine model, a product technology, a material price and the like, the first dimension worksheet is built and stored by referring to the indexes, wherein the index decomposition method is to decompose a relatively complex index into a plurality of sub-indexes, and then research is performed on each sub-index, so that the purposes of easy analysis and convenient implementation are achieved. The implementation of index decomposition can realize the layer-by-layer implementation of various cost indexes, and the management and the assessment are carried out in a split and segmented mode, so that the task of cost reduction can be ensured.
Further, after the first dimension worksheet is stored in the audit module according to the first storage instruction, the embodiment of the present application further includes:
step S1251: obtaining a first predetermined frequency;
step S1252: according to the first preset frequency, first real-time data information is called through the auditing module, wherein the first real-time data information is real-time data of the index information;
step S1253: comparing the first real-time data information with the first dimension worksheet, and judging whether the first real-time data information has a trend deviating from the first dimension worksheet or not;
step S1254: if the first real-time data information exists, a first control instruction is obtained, and the first real-time data information is dynamically adjusted according to the first control instruction.
Specifically, the audit module can perform the settlement of assets according to engineering index information, and reflects the economic supervision module of construction project achievements, the first preset frequency is the frequency of calling index data information set in advance, the comparison process of the first real-time data information and the first dimension worksheet is actually the behavior of normative financial management, if the condition of fund deviation occurs, the dynamic adjustment of the funds is realized according to the first management and control instruction, the comprehensive budget system is gradually improved through multiple dimensions, the execution strength and the control capability of cost management are enhanced, and the quality of cost statistics management in the construction project is improved.
In summary, the building cost multidimensional statistical method and system based on BIM provided by the embodiment of the application have the following technical effects:
1. the first building list information of the built completed project is obtained through the BIM model, and then cost types in the building list information are analyzed to respectively obtain first fixed cost information of a first cost type, first dynamic cost information of a second cost type and first emotion cost information of a third cost type in the built completed project, and a first cost statistical model is built based on the three cost information. And further inputting second building information into the first cost statistical model to obtain corresponding fourth, fifth and sixth cost information. Based on the cost of the completed building project, the cost information of the project to be completed is acquired and the cost budget is carried out, so that the cost is counted and stored, and then whether the project is constructed or not is judged, and the technical effects of accurately counting the cost of the building project in multiple dimensions and improving the counting efficiency are achieved.
2. Because the mode that the second building information is input into the first cost statistics model and then the output information of the training model is compared with the budget information is adopted, the characteristic that the data is more accurate is processed based on the fact that the training model can continuously optimize learning and acquire experience, the counted cost information is more accurate, meanwhile, due to the data analysis capability of the BIM model, the data source of the first cost statistics model is ensured to be accurate enough, the budget information is accurately judged, and the technical effect that the cost budget management quality of enterprises is improved is achieved.
3. By adopting the mode of further judging the budget result through the first budget management and control model, the cost is analyzed based on the logic analysis mathematical property, the training accuracy and the rapidity, and the technical effect of providing an accurate and intelligent analysis basis for the subsequent budget management and control is further achieved.
Example two
Based on the same inventive concept as the building cost multidimensional statistics method based on BIM in the foregoing embodiment, the present invention also provides a building cost multidimensional statistics system based on BIM, as shown in FIG. 2, the system comprises:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first building list information according to a BIM model, where the first building list information includes a plurality of built completed items;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain a plurality of cost type information, where the plurality of cost type information includes a first cost type, a second cost type, and a third cost type;
a third obtaining unit 13, wherein the third obtaining unit 13 is configured to obtain first cost information of the plurality of constructed completed items according to the first cost type;
A fourth obtaining unit 14, wherein the fourth obtaining unit 14 is configured to obtain second cost information of the plurality of constructed completed items according to the second cost type;
a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to obtain third cost information of the plurality of constructed completed items according to the third cost type;
a first establishing unit 16, where the first establishing unit 16 is configured to establish a first cost statistical model according to the first cost information, the second cost information, and the third cost information;
a sixth obtaining unit 17, where the sixth obtaining unit 17 is configured to obtain second building information, where the second building is a to-be-built completion item;
a first input unit 18, where the first input unit 18 is configured to obtain first output information of the first cost statistical model after inputting the second building information into the first cost statistical model, where the first output information includes fourth cost information, fifth cost information, and sixth cost information of the second building information;
a seventh obtaining unit 19, wherein the seventh obtaining unit 19 is configured to obtain first budget information of the second building information;
A first determining unit 20, where the first determining unit 20 is configured to determine whether to obtain a first execution instruction according to the first output information and the first budget information;
the first statistics unit 21 is configured to, if a first execution instruction is required to be obtained, start a first construction instruction after the fourth cost information, the fifth cost information, and the sixth cost information are statistically stored according to the first execution instruction.
Further, the system further comprises:
the second input unit is used for inputting the second building information into the first cost statistical model, the model is trained by using a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: the second building information and the identification information for identifying the first result;
an eighth obtaining unit, configured to obtain first output information of the first cost statistical model, where the output information includes the first result, where the first result includes fourth cost information, fifth cost information, and sixth cost information of the second building information, and the fourth cost information, the fifth cost information, and the sixth cost information are in one-to-one correspondence with the first cost type, the second cost type, and the third cost type.
Further, the system further comprises:
a ninth obtaining unit, configured to obtain first type data information and second type data information after dividing the first cost information, the second cost information, and the third cost information according to a preset rule;
a tenth obtaining unit, configured to obtain a first weighting coefficient and a second weighting coefficient corresponding to the first class data information and the second class data information, respectively;
and the second establishing unit is used for establishing the first cost statistical model according to the first statistical data and the second statistical data.
Further, the system further comprises:
a first operation unit configured to take the first budget information as an abscissa;
the third establishing unit is used for constructing a two-dimensional rectangular coordinate system by taking the first output information as an ordinate;
an eleventh obtaining unit, configured to construct a logistic regression line in the two-dimensional rectangular coordinate system according to a logistic regression model, and obtain a first budget control model, where one side of the logistic regression line represents a first result, and the other side of the logistic regression line represents a second result, where the first result is a result that the first output information meets the first budget information; the second result is a result that the first output information does not meet the first budget information;
A twelfth obtaining unit, configured to obtain the first execution instruction when an output result of the first budget control model is the first result.
Further, the system further comprises:
a thirteenth obtaining unit, configured to obtain third building information according to the first building list information when the output result of the first budget control model is the second result, where the third building information is the first building list information and has the highest similarity with the second building information;
a fourteenth obtaining unit configured to obtain a first adjustment instruction;
the first adjusting unit is used for adjusting the first budget information according to the third building information and/or adjusting the fourth cost information and/or the fifth cost information and/or the sixth cost information according to the first adjusting instruction.
Further, the system further comprises:
a fifteenth obtaining unit configured to obtain a first disassembly instruction;
a sixteenth obtaining unit, configured to obtain a plurality of index information if the fourth cost information is disassembled according to the first disassembly instruction;
A fourth establishing unit, configured to establish a first dimension worksheet according to the plurality of index information;
a seventeenth obtaining unit configured to obtain a first store instruction;
and the first storage unit is used for storing the first dimension worksheet in the auditing module according to the first storage instruction.
Further, the system further comprises:
an eighteenth obtaining unit for obtaining a first predetermined frequency;
the first calling unit is used for calling first real-time data information through the auditing module according to the first preset frequency, wherein the first real-time data information is real-time data of the index information;
the first judging unit is used for comparing the first real-time data information with the first dimension worksheet and judging whether the first real-time data information has a trend deviating from the first dimension worksheet or not;
and the nineteenth obtaining unit is used for obtaining a first control instruction if the first control instruction exists, and dynamically adjusting the first real-time data information according to the first control instruction.
The various modifications and embodiments of the building cost multidimensional statistics method based on BIM in the first embodiment of fig. 1 are equally applicable to the building cost multidimensional statistics system based on BIM in the present embodiment, and by the detailed description of the building cost multidimensional statistics method based on BIM, those skilled in the art can clearly know the implementation method of the building cost multidimensional statistics system based on BIM in the present embodiment, so that the description is omitted herein for brevity.
Exemplary electronic device
An electronic device of an embodiment of the application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a building cost multi-dimensional statistical method based on BIM as in the previous embodiments, the present application further provides a building cost multi-dimensional statistical system based on BIM, on which a computer program is stored, which when executed by a processor, implements the steps of any one of the above-described building cost multi-dimensional statistical methods based on BIM.
Where in FIG. 3 a bus architecture (represented by bus 300), bus 300 may comprise any number of interconnected buses and bridges, with bus 300 linking together various circuits, including one or more processors, represented by processor 302, and memory, represented by memory 304. Bus 300 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 306 provides an interface between bus 300 and receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e. a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 in performing operations.
The embodiment of the invention provides a building cost multidimensional statistical method based on BIM, which is applied to a building management system, wherein the building management system is provided with a audit module, and the method comprises the following steps: obtaining first building list information according to a BIM model, wherein the first building list information comprises a plurality of built items; obtaining a plurality of cost type information, wherein the cost type information comprises a first cost type, a second cost type and a third cost type; obtaining first cost information of the plurality of constructed completed items according to the first cost type; obtaining second cost information of the plurality of constructed completed items according to the second cost type; obtaining third cost information of the plurality of constructed completed items according to the third cost type; establishing a first cost statistical model according to the first cost information, the second cost information and the third cost information; obtaining second building information, wherein the second building is a to-be-built completion project; after the second building information is input into the first cost statistical model, first output information of the first cost statistical model is obtained, wherein the first output information comprises fourth cost information, fifth cost information and sixth cost information of the second building information; obtaining first budget information of the second building information; determining whether a first execution instruction is obtained or not according to the first output information and the first budget information; and if the first execution instruction is required to be obtained, starting the first construction instruction after the fourth cost information, the fifth cost information and the sixth cost information are statistically stored according to the first execution instruction. The technical problems of imperfect construction cost statistics method and low management efficiency in the prior art are solved, and the technical effect of realizing high-efficiency statistics by carrying out multidimensional statistics on construction cost is achieved.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
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.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. A building cost multidimensional statistical method based on BIM, the method being applied to a building management system having a audit module, wherein the method comprises:
Obtaining first building list information according to a BIM model, wherein the first building list information comprises a plurality of built items;
obtaining a plurality of cost type information, wherein the cost type information comprises a first cost type, a second cost type and a third cost type;
obtaining first cost information of the plurality of constructed completed items according to the first cost type;
obtaining second cost information of the plurality of constructed completed items according to the second cost type;
obtaining third cost information of the plurality of constructed completed items according to the third cost type;
according to the first cost information, the second cost information and the third cost information, a first cost statistical model is established, wherein the method comprises the following steps: dividing the first cost information, the second cost information and the third cost information according to a preset rule to obtain first class data information and second class data information; respectively obtaining a first weighting coefficient and a second weighting coefficient corresponding to the first class data information and the second class data information; obtaining first statistical data according to the first class data information and the first weighting coefficient, and obtaining second statistical data according to the second class data information and the second weighting coefficient; establishing the first cost statistical model according to the first statistical data and the second statistical data;
Obtaining second building information, wherein the second building is a to-be-built completion project;
after the second building information is input into the first cost statistical model, first output information of the first cost statistical model is obtained, wherein the first output information comprises fourth cost information, fifth cost information and sixth cost information of the second building information;
obtaining first budget information of the second building information;
determining whether a first execution instruction is obtained or not according to the first output information and the first budget information;
and if the first execution instruction is required to be obtained, starting the first construction instruction after the fourth cost information, the fifth cost information and the sixth cost information are statistically stored according to the first execution instruction.
2. The method of claim 1, wherein said obtaining first output information of said first cost statistical model after said inputting said second building information into said first cost statistical model comprises:
inputting the second building information into the first cost statistical model, the model being trained using a plurality of sets of training data, each set of training data comprising: the second building information and the identification information for identifying the first result;
Obtaining first output information of the first cost statistical model, wherein the output information comprises the first result, wherein the first result comprises fourth cost information, fifth cost information and sixth cost information of the second building information, and the fourth cost information, the fifth cost information and the sixth cost information are in one-to-one correspondence with the first cost type, the second cost type and the third cost type.
3. The method of claim 1, wherein the determining whether to obtain a first execution instruction based on the first output information, the first budget information, further comprises:
taking the first budget information as an abscissa;
taking the first output information as an ordinate to construct a two-dimensional rectangular coordinate system;
constructing a logistic regression line in the two-dimensional rectangular coordinate system according to a logistic regression model to obtain a first budget control model, wherein one side of the logistic regression line represents a first result, the other side of the logistic regression line represents a second result, and the first result is a result that the first output information meets the first budget information; the second result is a result that the first output information does not meet the first budget information;
And when the output result of the first budget control model is the first result, obtaining the first execution instruction.
4. A method as claimed in claim 3, wherein the method further comprises:
when the output result of the first budget control model is the second result, third building information is obtained according to the first building list information, wherein the third building information is the first building list information and has the highest similarity with the second building information;
obtaining a first adjustment instruction;
and according to the first adjusting instruction, adjusting the first budget information according to the third building information, and/or adjusting the fourth cost information, and/or adjusting the fifth cost information, and/or adjusting the sixth cost information.
5. The method of claim 1, wherein the method further comprises:
obtaining a first disassembly instruction;
according to the first dismantling instruction, dismantling the fourth cost information to obtain a plurality of index information;
establishing a first dimension worksheet according to the index information;
obtaining a first storage instruction;
and storing the first dimension worksheet in the auditing module according to the first storage instruction.
6. The method of claim 5, wherein after storing the first dimension worksheet in the audit module according to the first store instruction, the method further comprises:
obtaining a first predetermined frequency;
according to the first preset frequency, first real-time data information is called through the auditing module, wherein the first real-time data information is real-time data of the index information;
comparing the first real-time data information with the first dimension worksheet, and judging whether the first real-time data information has a trend deviating from the first dimension worksheet or not;
if the first real-time data information exists, a first control instruction is obtained, and the first real-time data information is dynamically adjusted according to the first control instruction.
7. A building cost multidimensional statistical system based on BIM, wherein the system comprises:
the first obtaining unit is used for obtaining first building list information according to the BIM model, wherein the first building list information comprises a plurality of built items;
a second obtaining unit configured to obtain a plurality of cost type information, where the plurality of cost type information includes a first cost type, a second cost type, and a third cost type;
A third obtaining unit configured to obtain first cost information of the plurality of constructed completed items according to the first cost type;
a fourth obtaining unit configured to obtain second cost information of the plurality of constructed completed items according to the second cost type;
a fifth obtaining unit configured to obtain third cost information of the plurality of constructed completed items according to the third cost type;
the first establishing unit is used for establishing a first cost statistical model according to the first cost information, the second cost information and the third cost information;
a ninth obtaining unit, configured to obtain first type data information and second type data information after dividing the first cost information, the second cost information, and the third cost information according to a preset rule;
a tenth obtaining unit, configured to obtain a first weighting coefficient and a second weighting coefficient corresponding to the first class data information and the second class data information, respectively;
the twentieth obtaining unit is used for obtaining first statistical data according to the first type data information and the first weighting coefficient, and obtaining second statistical data according to the second type data information and the second weighting coefficient;
The second establishing unit is used for establishing the first cost statistical model according to the first statistical data and the second statistical data;
a sixth obtaining unit, configured to obtain second building information, where the second building is a to-be-built completion item;
the first input unit is used for obtaining first output information of the first cost statistical model after the second building information is input into the first cost statistical model, wherein the first output information comprises fourth cost information, fifth cost information and sixth cost information of the second building information;
a seventh obtaining unit configured to obtain first budget information of the second building information;
the first determining unit is used for determining whether a first execution instruction is obtained or not according to the first output information and the first budget information;
and the first statistics unit is used for starting the first construction instruction after the fourth cost information, the fifth cost information and the sixth cost information are statistically stored according to the first execution instruction if the first execution instruction is required to be obtained.
8. A BIM-based building cost multidimensional statistics system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any of claims 1 to 6 when the program is executed by the processor.
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