CN117391791A - Engineering cost management method, device, equipment and storage medium - Google Patents
Engineering cost management method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device, equipment and a storage medium for managing engineering cost, wherein the method comprises the following steps: displaying a model display interface associated with engineering cost management; receiving selected triggering operation of a target process data model in a process data model item and a target factor coefficient model in a factor coefficient model, wherein the target process data model and the target factor coefficient are determined according to an engineering item to be established; and determining the construction cost information corresponding to the project to be constructed according to the target process data model and the factor coefficient model. By using the method, when the engineering cost is managed, the automatic determination of the engineering cost can be realized only by selecting the process data model related to the engineering project to be built. Meanwhile, the degree of influence on the process cost is considered, and a factor coefficient model is introduced, so that the accuracy of engineering cost is improved.
Description
Technical Field
The present invention relates to the field of engineering cost technologies, and in particular, to an engineering cost management method, device, apparatus, and storage medium.
Background
When the project construction cost is estimated and budgeted for auditing, the construction industry is basically to perform one-time estimation regression according to the estimated cost after completion of the project with the same history by manpower, then to compare the new project with the history project, find out the difference of the project cost, and then to perform manual correction according to the latest standard price provided by the outside, but the manually acquired data is corrected, and usually there is a difference in information and matching degree of the reference data sample. Because cost analysis is mainly to the engineering project various manual prices, material price, mechanical equipment price carry out comprehensive comparison analysis, carry out comprehensive technique according to the building scale simultaneously, for example: the capacity and volume of the excavated earthwork, the building area of the building, the line length of the rail transit and the number of stations are comprehensively calculated to obtain the cost for the calculation and budget planning. But such simple engineering cost data alignment can produce errors in the actual approximation and budget.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for managing engineering cost, which realize automatic determination of the engineering cost and improve the accuracy of the engineering cost.
In a first aspect, an embodiment of the present invention provides a method for managing construction costs, including:
displaying a model display interface associated with engineering cost management, wherein the model display interface comprises a process data model item corresponding to a pre-constructed process data model and a factor coefficient model item corresponding to a factor coefficient model;
receiving selected triggering operation of a target process data model in the process data model item and a target factor coefficient model in the factor coefficient model, wherein the target process data model and the target factor coefficient are determined according to an engineering item to be established;
and determining the engineering cost information corresponding to the engineering project to be built according to the target process data model and the factor coefficient model.
In a second aspect, an embodiment of the present invention provides an engineering cost management apparatus, including:
the model display module is used for displaying a model display interface related to engineering cost management, wherein the model display interface comprises a process data model item corresponding to a pre-constructed process data model and a factor coefficient model item corresponding to a factor coefficient model;
the operation receiving module is used for receiving the selected triggering operation of a target process data model in the process data model item and a target factor coefficient model in the factor coefficient model item, wherein the target process data model and the target factor coefficient are determined according to an engineering item to be established;
And the information determining module is used for determining the engineering cost information corresponding to the engineering project to be built according to the target process data model and the factor coefficient model.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the construction cost management method as described in the embodiments of the first aspect.
In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer executable instructions which, when executed by a computer processor, are used to perform the construction cost management method as described in the embodiments of the first aspect.
The embodiment of the invention provides a method, a device, equipment and a storage medium for managing engineering cost, wherein the method comprises the following steps: displaying a model display interface associated with engineering cost management, wherein the model display interface comprises a process data model item corresponding to a pre-constructed process data model and a factor coefficient model item corresponding to a factor coefficient model; receiving selected triggering operation of a target process data model in the process data model item and a target factor coefficient model in the factor coefficient model, wherein the target process data model and the target factor coefficient are determined according to an engineering item to be established; and determining the engineering cost information corresponding to the engineering project to be built according to the target process data model and the factor coefficient model. According to the technical scheme, the process data model is built in advance, and when the user manages the engineering cost, the engineering cost can be determined only by selecting the process data model related to the engineering project to be built. Meanwhile, the degree of influence on the process cost is comprehensively considered, a factor coefficient model is introduced, automatic determination of the engineering cost is realized based on the engineering data model and the factor coefficient model, and the accuracy and the efficiency of the engineering cost are improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a construction cost management method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of another construction cost management method according to the second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an engineering cost management device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "original," "target," and the like in the description and claims of the present invention and the above-described drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
At present, the technology of the engineering cost error adjustment and identification method mainly comprises the following technical support: 1. and collecting information prices by hands, and importing relevant working cost software to perform project overview programming and budget planning analysis. 2. And (5) carrying out project overview programming and budget planning analysis through information prices provided by various engineering cost analysis software in the market. The general calculation regression user matches with the latest external control price by selecting a data model of the project with the history completed, associates with the latest external control price by the project number, automatically performs association calculation according to the external control price after the file forms a mapping relation, and generates and stores a mirror image of the obtained data result and the calculation process. The mirror image is mainly used for comparison analysis.
The current techniques of several engineering cost error adjustment and identification methods have different disadvantages: 1) And collecting information prices by hands, and importing relevant working cost software to perform project overview programming and budgeting error identification analysis. The manual operation is only suitable for small-sized projects, relates to large-sized capital construction projects of millions of process flows, cannot solve the problem of work efficiency of manual operation and information difference of information collection, and has an information difference and matching degree of reference data samples. Because cost analysis is mainly to the engineering project various manual prices, material price, mechanical equipment price carry out comprehensive comparison analysis, carry out comprehensive technique according to the building scale simultaneously, for example: the capacity and volume of the excavated earthwork, the building area of the building, the line length of the rail transit and the number of stations are comprehensively calculated to obtain the cost for the calculation and budget planning.
2) Project overview and budgeting error adjustment, identification and analysis are performed through various engineering cost analysis software and building information model (Building Information Modeling, BIM) software of the market. At present, various engineering cost analysis software in the market mainly adopts a computer end version to carry out technical analysis of approximate calculation and budget planning on a computer of the computer, and the calculation resource in the situation is required to depend on the configuration of the computer. For large project engineering, a millions of process engineering cost calculation models are involved, the computer resources of the computer obviously cannot complete data analysis and calculation, and the phenomenon of downtime of the computer can be caused due to high resource occupancy rate.
Example 1
Fig. 1 is a schematic flow chart of a construction cost management method according to a first embodiment of the present invention, where the method is applicable to a situation of performing construction cost management on a project to be constructed, and the method may be performed by a construction cost management device, and the device may be implemented in a form of hardware and/or software, and may be configured in an electronic device. As shown in fig. 1, the engineering cost management method provided in the first embodiment may specifically include the following steps:
s110, displaying a model display interface related to engineering cost management.
The model display interface comprises a process data model item corresponding to a pre-constructed process data model and a factor coefficient model item corresponding to a factor coefficient model.
In this embodiment, the electronic device with the project cost management method provided in this embodiment may provide a man-machine interaction interface, and when a user wants to perform project cost evaluation or error adjustment and other management on a project to be constructed, management on the project to be constructed may be implemented through the man-machine interaction interface. In this embodiment, when the user wants to manage the project to be constructed, the user may trigger to perform the man-machine interaction interface, and the man-machine interaction interface is recorded as the model display interface. The model display interface can be understood as an interface capable of carrying out engineering cost management, and the model display interface can display process data model items and factor coefficient model items. The model-based display interface may receive user selected trigger operations for process data model items and factor coefficient model items.
The process data model item and the factor coefficient model item are determined according to historical engineering projects, the process data model corresponds to the constituent elements of the sub-process of the lowest stage of the decomposition of the engineering projects, and the factor coefficient model corresponds to the complexity degree of influencing the sub-process and is determined according to the influence degree of each influencing factor.
For example, if the sub-process of the tunnel engineering project includes an earthwork excavation process, the sub-process of the earthwork excavation project is an earthwork excavation process data model, elements forming the data model are mainly engineering quantities, namely, multi-cube earthwork excavation is performed, the calculation is performed according to the station scale, other elements include personnel cost unit price, related material unit price and related depreciation and allocation unit price of input mechanical equipment.
Considering the influence degree of the influence factors associated with the sub-processes on the sub-processes, the input cost is different, so that a factor coefficient model of the sub-processes is introduced in the embodiment to represent the influence degree of the influence factors on the sub-processes. For example, the geographical and geological environment factors of the present station can also cause different manufacturing costs of the station, and the labor cost and the mechanical equipment investment of the soft dregs and the hard rock stratum in the excavation process are different. Therefore, the present embodiment also provides a project complexity difficulty coefficient multi-factor model, the model including: the construction method factors, the geographical geology factors, the traffic flow and traffic control factors, the seasonal weather factors, the resident distribution factors and the noise management factors are weighted to obtain an engineering difficulty factor coefficient.
Preferably, each process data model and the factor coefficient model are stored in the cloud.
The project cost management method provided by the embodiment can be used as a middleware to carry out project approximate programming and budget error adjustment, identification, analysis and calculation, and provides a technical analysis service for approximate programming and budget programming for various project cost analysis software through a software-as-a-service (Software as aService, saaS) or platform-as-a-service (Platform as a Service, paaS) mode. Because of the SaaS or PaaS mode, calculation power is calculated by a past local computer upward-moving cloud platform, the cloud can provide a process data model of various sub-processes and a project complexity difficulty coefficient multi-factor model, and calculation is combined with unit prices of various basic indexes, so that project overview programming and budget programming analysis cost reference data is generated. Because the computing power is moved up to the cloud from the local place, the computing power and the resource utilization rate are inevitably more efficient and faster than the local computing. And large-scale data analysis and calculation are performed, the rapid replication is performed through a containerization technology, and the cloud application can rapidly expand the capacity, so that the resource management is more efficient. The method solves the problems that the past manufacturing cost software and BIM software are mainly calculated locally and the calculation performance is insufficient, and the cluster mode is constructed by deploying middleware through a containerization technology to improve the high availability and calculation capability of the software. Because the application is deployed through the mode of the middleware, the data computing power is moved up to the cloud from the local by adjusting the access parameter configuration, and the data computing capacity is enhanced.
The software for manufacturing or the manufacturing platform of any enterprise is butted for use by a middleware SaaS or PaaS mode, and the SaaS mode can use the service only by carrying out parameter configuration according to the configuration file of the middleware. The PaaS mode is deployed to the cloud container environment of the PaaS mode to carry out personalized content configuration.
S120, receiving a selected triggering operation of a target process data model in the process data model items and a target factor coefficient model in the factor coefficient models.
And determining the target process data model and the target factor coefficient according to the engineering project to be built.
The project to be built can be understood as a project which is planned to be built and needs project cost evaluation. In this embodiment, a user may determine, according to a plan of a project to be built, that a sub-project included in the project to be built is designated as a target sub-project, that a process project included in each target sub-project is designated as a target process project, and that a sub-process included in the target process project is designated as a target sub-process.
In this embodiment, after knowing a target sub-engineering project included in a project to be built, a user may select a target process data model corresponding to a target sub-process from process data model items presented on a model display interface. For example, assuming that various process data model items are presented on the model display interface, a part of the process data model may be selected as the target process data model according to sub-processes actually included in the project to be built. And determining a factor coefficient model corresponding to the complex difficulty of the project to be constructed according to the complex difficulty of the project to be constructed. For example, under the assumption that different construction methods, geographical geology, traffic flow and traffic control, seasonal weather, resident distribution, noise management and other influence factors correspond to different factor coefficients, a factor coefficient model corresponding to the construction project to be built can be selected according to the complexity and difficulty of the project to be built. Illustratively, the select trigger operation may be by a tick.
S130, determining the construction cost information corresponding to the project to be constructed according to the target process data model and the factor coefficient model.
Specifically, the construction cost of the target process data model is multiplied by the construction difficulty factor coefficient to obtain the cost of the sub-process. And determining the construction cost information corresponding to the project to be constructed according to the construction cost of each sub-process. And calculating and analyzing the process data models of all projects and sub-projects, namely adding the cost of each target sub-process, so as to obtain the project cost information corresponding to the project to be constructed.
The step is equivalent to automatically calculating the cost of each sub-process according to the preset data model of each process, manual operation, basic price of materials and mechanical equipment, generating complex difficulty coefficient of project by using related index data models based on big data and construction method, geographic geology, traffic flow control, seasonal weather, resident distribution, noise management and the like, and determining the information of the construction cost corresponding to the project to be constructed.
The embodiment of the invention provides a construction cost management method, which comprises the following steps: firstly, displaying a model display interface associated with engineering cost management, wherein the model display interface comprises a process data model item corresponding to a pre-constructed process data model and a factor coefficient model item corresponding to a factor coefficient model; then receiving selected triggering operation of a target process data model in a process data model item and a target factor coefficient model in a factor coefficient model, and determining the target process data model and the target factor coefficient according to the engineering item to be built; and finally, determining the engineering cost information corresponding to the engineering project to be built according to the target process data model and the factor coefficient model. According to the technical scheme, the process data model is built in advance, and when the user manages the engineering cost, the engineering cost can be determined only by selecting the process data model related to the engineering project to be built. Meanwhile, the degree of influence on the process cost is comprehensively considered, and a factor coefficient model is introduced. The automatic determination of the engineering cost is realized based on the engineering data model and the factor coefficient model, and the accuracy and the efficiency of the engineering cost are improved.
As a first alternative embodiment of the embodiments of the present invention, on the basis of the above embodiment, the method further includes the steps of:
a1 Acquiring the historical engineering cost information of the historical engineering projects with the similarity with the data models of the target processes being larger than the set similarity threshold.
Wherein, setting the similarity threshold may be determined based on historical empirical data. Specifically, the history big data is used for selecting the project with the closest degree of identity between the cost data and the process data model of the completed history engineering project.
b1 Comparing the construction cost information corresponding to the project to be constructed with the history construction cost information to obtain construction cost information difference.
Specifically, the construction cost information corresponding to the construction project to be constructed is compared with the historical construction cost information, so that the construction cost data error can be obtained and recorded as the construction cost information difference. The method is equivalent to comparing the construction cost data of the project with the construction cost data of the project to be built, wherein the project with the closest similarity of the construction cost data and the process data model of the project is compared with the construction cost data of the project to be built, and the problem of data difference is found according to a preset threshold value.
c1 If the engineering cost information difference is larger than the set information difference threshold, the engineering cost information is adjusted according to the target process data model.
Wherein the set information difference threshold may be determined based on historical empirical data. Specifically, if the construction cost information difference is greater than the set information difference threshold, the construction cost information may be adjusted according to the target process data model, or it may be considered that the data repair is performed according to the target data process model. For example, assuming that the cost of a certain process engineering is 1 ten thousand yuan, the information difference threshold is set to be 2 thousand yuan, if the corresponding cost of the process data model is determined to be 1 ten thousand 5 kiloyuan, the difference value of the two is larger than the set information difference threshold, and obviously, the budget is exceeded, the process data model needs to be adjusted so that the engineering cost information meets the requirement.
The optional embodiment embodies the comparison calculation analysis of the large data of the historical engineering cost and the currently calculated engineering cost information by selecting corresponding engineering projects, and realizes the automatic management of the engineering projects to be constructed by automatically correcting the difference of the cost results by automatic comparison, and adjusts the engineering cost information based on errors, thereby improving the accuracy and efficiency of the engineering cost and the accuracy.
As a second alternative embodiment of the present invention, the step of constructing the process data model and the factor coefficient model, which can be optimized based on the above-described embodiments, includes the steps of: and analyzing each historical engineering project, and determining each process data model and each factor coefficient model contained in each historical engineering project.
In this embodiment, the process data model and the factor coefficient model are analytically determined from historical engineering projects. The process data model and the factor coefficient model are obtained by decomposing and analyzing various historical engineering projects and can be used as basic data to be built in a cloud end, and the engineering cost of the engineering project to be built can be calculated later only by selecting the corresponding process data model and factor coefficient model according to the actual requirements of the engineering project to be built on the basis of the built various process data models and factor coefficient models when the engineering cost of the engineering project to be built is estimated later.
The present alternative embodiment embodies the process data model and the factor coefficient model as derived based on historical engineering project analysis.
As a specific implementation manner, the step of analyzing each historical engineering project and determining each process data model and each factor coefficient model included in each historical engineering project may be optimized, and includes:
a2 Decomposing each history engineering project to obtain sub-projects contained in the history engineering project.
In this embodiment, to obtain the process data model of the data base and the project complexity and difficulty coefficient multi-factor model, the next node of the history project needs to be obtained by decomposing the history project, and is denoted as a sub-project. Illustratively, the construction cost of a subway line is reduced to a plurality of sub-projects, including: station engineering, section engineering, track engineering, communication engineering, signal engineering, power supply engineering, comprehensive monitoring engineering, disaster prevention alarm engineering, environment and equipment monitoring engineering, security and entrance guard engineering, ventilation and air conditioning engineering, water supply and drainage and water fire control engineering, automatic ticket selling and checking engineering, station auxiliary equipment engineering, operation control center engineering, vehicle section and comprehensive base engineering, civil air defense engineering and station traffic connection engineering.
b2 Decomposing each sub-project to obtain a process project included in the sub-project.
Specifically, each sub-engineering is decomposed at the next stage to obtain the process engineering included in the sub-engineering. Continuing with the above example, in the above sub-engineering, each sub-engineering further includes various process engineering, for example: station engineering of subway lines is divided into underground stations, ground stations, overhead stations and different construction modes and scales, and the manufacturing cost and the cost of the stations are different.
c2 Decomposing each process engineering to obtain sub-processes of the process engineering.
Specifically, the next stage of decomposition is performed on the process engineering to obtain sub-processes of the process engineering. Continuing to describe the above examples, for example, an underground station relates to building enclosure engineering, main body architecture engineering and auxiliary structure engineering, and all three engineering relate to earthwork, mainly earthwork excavation engineering and earthwork transportation engineering, and the lower stage of the project split to the minimum is the sub-process.
d2 A step of constructing a step data model of each sub-step based on the constituent elements of each sub-step.
Specifically, a process data model of each sub-process is constructed from the constituent elements of each sub-process. Continuing with the above description, for example, the sub-process of the earthwork excavation project is an earthwork excavation process data model, and the elements forming the data model are mainly project quantities, namely multi-cube earth excavation, and the calculation is performed according to the station scale, and other elements include personnel cost unit price, related material unit price and related depreciation and allocation unit price of input mechanical equipment.
e2 According to the influence degree of the influence factors associated with the sub-processes on the sub-processes, constructing a factor coefficient model of each sub-process.
Considering the influence degree of the influence factors associated with the sub-processes on the sub-processes, the input cost is different, so that a factor coefficient model of the sub-processes is introduced in the embodiment to represent the influence degree of the influence factors on the sub-processes. For example, the geographical and geological environment factors of the present station can also cause different manufacturing costs of the station, and the labor cost and the mechanical equipment investment of the soft dregs and the hard rock stratum in the excavation process are different. Therefore, in this embodiment, a multi-factor model for complex difficulty coefficient of the project is also provided, where the model includes: the construction method factors, the geographical geology factors, the traffic flow and traffic control factors, the seasonal weather factors, the resident distribution factors and the noise management factors are weighted to obtain an engineering difficulty factor coefficient.
According to the technical scheme, the steps of analyzing each historical engineering project and determining each process data model and each factor coefficient model contained in each historical engineering project are embodied, the process data models and the factor coefficient models can be used as basic data to be built in a cloud, and basic data are provided for the subsequent engineering cost evaluation of the engineering project to be built.
Example two
Fig. 2 is a flow chart of another construction cost management method according to the second embodiment of the present invention, where the present embodiment is a further optimization of the foregoing embodiment, and in the present embodiment, the optimization is further defined for "determining construction cost information corresponding to the project to be constructed according to the target process data model and the factor coefficient model".
As shown in fig. 2, the second embodiment provides a construction cost management method, which specifically includes the following steps:
s210, displaying a model display interface related to engineering cost management.
The model display interface comprises a pre-constructed process data model item and a factor coefficient model item.
S220, receiving a selected triggering operation of a target process data model in the process data model items and a target factor coefficient model in the factor coefficient models.
And determining the target process data model and the target factor coefficient according to the engineering project to be built.
S230, multiplying the target process data model by the corresponding factor coefficient model to obtain the cost of each target sub-process.
Specifically, the construction base construction cost of the target process data model is multiplied by the construction difficulty factor coefficient to obtain the construction cost of the sub-process, and the construction cost is recorded as the cost of the target sub-process.
S240, determining the construction cost information corresponding to the project to be constructed according to the cost of each target sub-process.
Specifically, the engineering cost information corresponding to the engineering project to be constructed is obtained by calculating and analyzing the process data models of all the projects and the sub-projects, namely adding the cost of each target sub-process.
As a specific implementation manner, the step of determining the construction cost information corresponding to the construction project to be constructed according to the cost of each target sub-process may be optimized, including:
a3 The cost of each target sub-process is added to obtain the cost of the target process engineering.
Specifically, the sub-project included in the project to be built is referred to as a target sub-project, the process project included in each target sub-project is referred to as a target process project, and the sub-process included in the target process project is referred to as a target sub-process.
Specifically, the cost of the target process engineering can be obtained by adding the costs of the target sub-processes.
b3 The costs of each target process engineering are added to obtain the costs of the target sub-engineering.
Specifically, after the costs of each target process engineering are obtained, the costs of each target process engineering may be added to obtain the costs of the target sub-engineering.
c3 Adding the cost of each target sub-project, and taking the obtained result as the project cost information corresponding to the project to be built.
Specifically, after the cost of each target sub-project is obtained, the cost of each target sub-project may be added, and the obtained result may be used as project cost information of the project to be constructed.
According to the technical scheme, the step of determining the engineering cost information corresponding to the engineering project to be built according to the target process data model and the factor coefficient model is embodied, the cost corresponding to each sub-process of the engineering project to be built is obtained according to the target process data model and the factor coefficient model, and the cost is calculated by adding up the cost step by step, so that the automatic determination of the engineering cost information of the engineering project to be built is realized.
Example III
Fig. 3 is a schematic structural diagram of a construction cost management device according to a third embodiment of the present invention, where the device is applicable to a situation where a project to be constructed is managed, and the construction cost management device may be configured in an electronic apparatus, as shown in fig. 3, and the device includes: a model display module 31, an operation receiving module 32, a number information determining module; wherein,
the model display module 31 is configured to display a model display interface associated with engineering cost management, where the model display interface includes a process data model item corresponding to a pre-constructed process data model and a factor coefficient model item corresponding to a factor coefficient model;
An operation receiving module 32, configured to receive a selected trigger operation on a target process data model in the process data model item and a target factor coefficient model in the factor coefficient model item, where the target process data model and the target factor coefficient are determined according to the project to be constructed;
the information determining module 33 is configured to determine the construction cost information corresponding to the project to be constructed according to the target process data model and the factor coefficient model.
According to the technical scheme, the process data model is built in advance, and when the user manages the engineering cost, the engineering cost can be determined only by selecting the process data model related to the engineering project to be built. Meanwhile, the degree of influence on the process cost is comprehensively considered, and a factor coefficient model is introduced. The automatic determination of the engineering cost is realized based on the engineering data model and the factor coefficient model, and the accuracy and the efficiency of the engineering cost are improved.
Optionally, the information determining module may include:
the cost determining unit is used for multiplying the target process data model with the corresponding factor coefficient model to obtain the cost of each target sub-process;
and the information determining unit is used for determining the engineering cost information corresponding to the engineering project to be built according to the cost of each target sub-process.
Optionally, the information determining unit is configured to:
adding the cost of each target sub-process to obtain the cost of the target process engineering;
adding the cost of each target process engineering to obtain the cost of each target sub-engineering;
and adding the cost of each target sub-project, and taking the obtained result as project cost information corresponding to the project to be built.
Optionally, the device further includes an error adjustment module, specifically configured to:
acquiring historical engineering cost information of a historical engineering project with similarity greater than a set similarity threshold value with the data model of each target process;
comparing the construction cost information corresponding to the project to be constructed with the historical construction cost information to obtain construction cost information difference;
and if the engineering cost information difference is larger than the set information difference threshold, adjusting the engineering cost information according to the target process data model.
Optionally, the apparatus further comprises a model building module for:
and analyzing each historical engineering project, and determining each process data model and each factor coefficient model contained in each historical engineering project.
Optionally, the model building module may specifically be configured to:
decomposing each historical engineering project to obtain sub-projects contained in the historical engineering projects;
Decomposing each sub-project to obtain a process project contained in the sub-project;
decomposing each process engineering to obtain sub-processes of the process engineering;
constructing a process data model of each sub-process according to the constituent elements of each sub-process;
and constructing a factor coefficient model of each sub-process according to the influence degree of the sub-process of the influence factors associated with the sub-process.
Optionally, each process data model and the factor coefficient model are stored in the cloud.
The engineering cost management device provided by the embodiment of the invention can execute the engineering cost management method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, etc., in which the memory stores a computer program executable by the at least one processor, and the processor 41 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 42 or the computer program loaded from the storage unit 48 into the Random Access Memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 may also be stored. The processor 41, the ROM 42 and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to bus 44.
Various components in electronic device 40 are connected to I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, etc.; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, an optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 41 may be various general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 41 performs the various methods and processes described above, such as the construction cost management method.
In some embodiments, the engineering cost management method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 40 via the ROM 42 and/or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the engineering cost management method described above may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the engineering cost management method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of engineering cost management comprising:
displaying a model display interface associated with engineering cost management, wherein the model display interface comprises a process data model item corresponding to a pre-constructed process data model and a factor coefficient model item corresponding to a factor coefficient model;
receiving selected triggering operation of a target process data model in the process data model item and a target factor coefficient model in the factor coefficient model, wherein the target process data model and the target factor coefficient are determined according to an engineering item to be established;
And determining the engineering cost information corresponding to the engineering project to be built according to the target process data model and the factor coefficient model.
2. The method according to claim 1, wherein determining the construction cost information corresponding to the project to be constructed according to the target process data model and the factor coefficient model includes:
multiplying the target process data model by the corresponding factor coefficient model to obtain the cost of each target sub-process;
and determining the engineering cost information corresponding to the engineering project to be built according to the cost of each target sub-process.
3. The method according to claim 2, wherein determining the construction cost information corresponding to the project to be constructed according to the cost of each target sub-process includes:
adding the cost of each target sub-process to obtain the cost of the target process engineering;
adding the cost of each target process engineering to obtain the cost of a target sub-engineering;
and adding the cost of each target sub-project, and taking the obtained result as project cost information corresponding to the project to be built.
4. The method as recited in claim 1, further comprising:
Acquiring historical engineering cost information of a historical engineering project with similarity greater than a set similarity threshold value with each target process data model;
comparing the construction cost information corresponding to the project to be constructed with the historical construction cost information to obtain construction cost information difference;
and if the engineering cost information difference is larger than the set information difference threshold, adjusting the engineering cost information according to the target process data model.
5. The method of claim 1, wherein the step of constructing the process data model and the factor coefficient model comprises:
and analyzing each historical engineering project, and determining each process data model and each factor coefficient model contained in each historical engineering project.
6. The method of claim 5, wherein analyzing each historical engineering project to determine each process data model and each factor coefficient model contained in each historical engineering project comprises:
decomposing each history engineering project to obtain sub-projects contained in the history engineering project;
decomposing each sub-project to obtain a process project contained in the sub-project;
Decomposing each process engineering to obtain sub-processes of the process engineering;
constructing a process data model of each sub-process according to the constituent elements of each sub-process;
and constructing a factor coefficient model of each sub-process according to the influence degree of the influence factors related to the sub-process on the sub-process.
7. The method of claim 1, wherein each of the process data model and the factor coefficient model are stored in a cloud.
8. An engineering cost management device, comprising:
the model display module is used for displaying a model display interface related to engineering cost management, wherein the model display interface comprises a process data model item corresponding to a pre-constructed process data model and a factor coefficient model item corresponding to a factor coefficient model;
the operation receiving module is used for receiving the selected triggering operation of a target process data model in the process data model item and a target factor coefficient model in the factor coefficient model item, wherein the target process data model and the target factor coefficient are determined according to an engineering item to be established;
and the information determining module is used for determining the engineering cost information corresponding to the engineering project to be built according to the target process data model and the factor coefficient model.
9. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the construction cost management method of any one of claims 1-7.
10. A storage medium containing computer executable instructions which, when executed by a computer processor, are for performing the construction cost management method of any of claims 1-7.
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