CN116993386A - Quota design management method and system for constructional engineering - Google Patents
Quota design management method and system for constructional engineering Download PDFInfo
- Publication number
- CN116993386A CN116993386A CN202311026463.0A CN202311026463A CN116993386A CN 116993386 A CN116993386 A CN 116993386A CN 202311026463 A CN202311026463 A CN 202311026463A CN 116993386 A CN116993386 A CN 116993386A
- Authority
- CN
- China
- Prior art keywords
- index
- target
- cost
- influence factor
- quota
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013461 design Methods 0.000 title claims abstract description 62
- 238000007726 management method Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 claims abstract description 20
- 238000012216 screening Methods 0.000 claims abstract description 11
- 238000010276 construction Methods 0.000 claims description 75
- 238000012163 sequencing technique Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 238000003062 neural network model Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 4
- 238000005457 optimization Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a quota design management method and system for constructional engineering, wherein the method comprises the following steps: acquiring current predicted engineering cost, and judging whether the current predicted engineering cost is greater than a first preset threshold value; if the cost is larger than the first preset threshold, judging whether the cost of the prediction index corresponding to each basic limit index is larger than a second preset threshold; screening at least one target basic quota index with the predicted index cost greater than a second preset threshold value, acquiring an index influence factor sequence associated with the at least one target basic quota index, and reordering index influence factors in each index influence factor sequence based on the numerical value of the index influence factor to obtain a target index influence factor sequence; and removing at least one target index influence factor in the target index influence factor sequence until the current predicted engineering cost of the target engineering is not greater than a first preset threshold value. The method realizes that the engineering cost meets the real-time engineering budget on the premise of not influencing the engineering quality.
Description
Technical Field
The application belongs to the technical field of constructional engineering budget, and particularly relates to a quota design management method and system for constructional engineering.
Background
Engineering design has a crucial decisive role in engineering investment. The engineering cost factors cannot be fully and effectively considered in the design stage, and relevant design demonstration and optimization are carried out, so that the phenomenon of 'three-superelevation' of engineering investment is serious, limited funds of construction units cannot fully exert the effect and cannot meet the construction requirement, meanwhile, the problems of incomplete construction, delinquent engineering money and the like occur in the later-stage construction funds shortage of projects, and shutdown and tail rot are even possible. In order to improve the investment construction efficiency, realize the effective control and reasonable allocation and use of construction investment in the stage of planning, improve the design quality and the service level, and promote and develop limit design is vital in the investigation design unit.
However, in the actual design process, because the designer is limited by the cost knowledge and experience, the cost factors and relevant optimization adjustment cannot be fully considered in the design, and the cost personnel also commonly performs relevant cost measurement and calculation after the design is completed due to professional postposition, so that a large number of reconnaissance design units generally lack the cost participation and optimization in the process design. In this case, due to design preference, the phenomenon of measuring and calculating the investment oversubstance often occurs.
Disclosure of Invention
The application provides a quota design management method and system for constructional engineering, which are used for solving the technical problem that the phenomenon of measuring and calculating the investment overrun easily occurs.
In a first aspect, the present application provides a quota design management method for a building engineering, including: determining each basic quota index of the target engineering and at least one index influence factor associated with each basic quota index, and sequencing the at least one index influence factor according to the numerical value of the index influence factor to obtain an index influence factor sequence; acquiring index data containing at least one basic quota index, and inputting the index data into a preset quota design model to obtain a predicted index cost corresponding to the at least one basic quota index; summing all the predicted construction costs to obtain the current predicted construction cost of the target construction, and judging whether the current predicted construction cost is greater than a first preset threshold value or not, wherein the first preset threshold value is dynamically set according to the target construction cost corresponding to at least one basic quota index contained in the index data; if the current engineering cost is greater than a first preset threshold, judging whether the predicted index cost corresponding to each basic limit index is greater than a second preset threshold, wherein the second preset threshold is set according to the target index cost corresponding to at least one basic limit index contained in the index data; screening at least one target basic quota index with the predicted index cost greater than a second preset threshold value, and acquiring an index influence factor sequence associated with the at least one target basic quota index; reordering the index influence factors in each index influence factor sequence based on the numerical values of the index influence factors to obtain a target index influence factor sequence; and removing at least one target index influence factor in the target index influence factor sequence until the current predicted engineering cost of the target engineering is not greater than a first preset threshold value, wherein the at least one target index influence factor is at least one minimum index influence factor in the target index influence factor sequence.
In a second aspect, the present application provides a quota design management system for use in construction projects, comprising: the determining module is configured to determine each basic quota index of the target engineering and at least one index influence factor associated with each basic quota index, and sort the at least one index influence factor according to the numerical value of the index influence factor to obtain an index influence factor sequence; the prediction module is configured to acquire index data containing at least one basic quota index, input the index data into a preset quota design model and obtain a prediction index cost corresponding to the at least one basic quota index; the first judging module is configured to sum the predicted construction costs to obtain the current predicted construction cost of the target construction, judge whether the current predicted construction cost is larger than a first preset threshold value or not, and dynamically set the first preset threshold value according to the target construction cost corresponding to at least one basic limit index contained in the index data; the second judging module is configured to judge whether the predicted index cost corresponding to each basic quota index is larger than a second preset threshold value or not if the current engineering cost is larger than a first preset threshold value, and the second preset threshold value is set according to the target index cost corresponding to at least one basic quota index contained in the index data; the screening module is configured to screen at least one target basic quota index with the predicted index cost being larger than a second preset threshold value, and acquire an index influence factor sequence associated with the at least one target basic quota index; the sequencing module is configured to reorder the index influence factors in each index influence factor sequence based on the numerical values of the index influence factors to obtain a target index influence factor sequence; the removing module is used for removing at least one target index influence factor in the target index influence factor sequence until the current predicted engineering cost of the target engineering is not greater than a first preset threshold value, wherein the at least one target index influence factor is at least one index influence factor in the target index influence factor sequence.
In a third aspect, there is provided an electronic device, comprising: the system comprises at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the quota design management method for the building engineering of any one of the embodiments of the application.
In a fourth aspect, the present application also provides a computer-readable storage medium having stored thereon a computer program, which when executed by a processor, causes the processor to perform the steps of the quota design management method for construction engineering of any of the embodiments of the application.
The application relates to a limit design management method and a limit design management system for a building project, which are used for acquiring index data containing at least one basic limit index, inputting the index data into a preset limit design model to obtain predicted index cost corresponding to the at least one basic limit index, summing all the predicted index cost to obtain the current predicted project cost of a target project, judging whether the current predicted project cost is larger than a first preset threshold value, judging whether the predicted index cost corresponding to each basic limit index is larger than a second preset threshold value if the current predicted project cost is larger than the first preset threshold value, screening out at least one target basic limit index with the predicted index cost larger than the second preset threshold value, acquiring an index influence factor sequence associated with at least one target basic limit index, reordering index influence factors in each index influence factor sequence based on the numerical value of the index influence factor to obtain a target index influence factor sequence, and finally removing at least one target index influence factor in the target index influence factor sequence until the current predicted project of the target project is not larger than the first preset threshold value, and reducing project cost by deleting the unimportant target index influence factors one by one, thereby realizing that the project cost quality is not in accordance with the project quality of budget.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a quota design management method for construction engineering according to an embodiment of the application;
FIG. 2 is a block diagram of a quota design management system for use in construction engineering according to one embodiment of the application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, a flow chart of a quota design management method for construction engineering according to the present application is shown.
As shown in fig. 1, the quota design management method for the building engineering specifically includes the following steps:
step S101, determining each basic quota index of the target engineering and at least one index influence factor associated with each basic quota index, and sequencing the at least one index influence factor according to the numerical value of the index influence factor to obtain an index influence factor sequence.
In this step, the basic quota index is an item in the target project, and the item includes a civil engineering item, an electromechanical equipment installation item and intelligent supporting equipment of the target project. In this embodiment, a gym is taken as an example of a target project. The index influencing factors associated with the civil engineering project of the gym include at least the preparation cost, the land and demolition arrangement cost, the purchase cost of tools and equipment, the investment cost of land infrared, the other costs of engineering construction and the other investment costs besides design. Therefore, the preparation cost, the land and relocation costs, the purchase cost of tools and equipment, the investment cost of land infrared, the other investment cost of engineering construction and other investment costs except design are ordered based on the numerical values of the index influence factors, and the index influence factor sequence associated with the civil engineering project is obtained.
It should be noted that, the greater the value of the index influence factor is to reflect the importance degree of the basic limit index of the target engineering, the more important the basic limit index is, in this embodiment, for example, the index influence factor sequence is: the preparation cost, the removal and arrangement cost, the purchase cost of tools and equipment, the investment cost of the infrared rays of the land, the engineering construction cost and the other investment cost except the design cost.
Step S102, index data containing at least one basic quota index is obtained, the index data is input into a preset quota design model, and the predicted index cost corresponding to the at least one basic quota index is obtained.
In this step, the expression of the quota design model is:
wherein Q is the cost of the prediction index corresponding to the basic quota index, k i For the cost of the ith index influencing factor associated with each base quota index, N is the total number of index influencing factors.
Specifically, index data including at least one basic quota index is input into a preset quota design model to obtain a predicted index cost corresponding to the at least one basic quota index, for example, a gym is taken as a target engineering. Index influencing factors associated with the civil engineering project (foundation quota index) of the gym include at least preparation fees, land and demolition arrangement fees, tool and equipment purchase fees, investment fees for land infrared rays, other fees for engineering construction, and other investment fees other than design. Therefore, the prediction index cost of the civil engineering project can be obtained by summing the preparation cost, the land and removal arrangement cost, the purchase cost of tools and equipment, the investment cost of land infrared rays, the other engineering construction cost and the other investment cost except the design.
It should be noted that, before implementing step S102, the method further needs to build and train a quota design model. The specific process of training the quota design model is as follows: acquiring historical index data, wherein the historical index data comprises at least one historical basic quota index; the historical index data is used as sample data and is input into a network model, the network model is trained to output the historical prediction index cost, and the network model is a BP neural network model; and making a difference between the historical predicted index cost and the historical actual index cost corresponding to the historical basic limit index to obtain a target difference value, and correcting parameters of the network model according to the target difference value until the difference between the historical predicted index cost output by the network model and the historical actual index cost corresponding to the historical basic limit index is smaller than a preset difference value.
Step S103, summing the predicted construction costs to obtain the current predicted construction cost of the target construction, and judging whether the current predicted construction cost is greater than a first preset threshold value, wherein the first preset threshold value is dynamically set according to the target construction cost corresponding to at least one basic quota index contained in the index data.
In the step, target index cost corresponding to at least one basic quota index contained in index data is obtained, and the target index cost is summed to obtain a first preset threshold; and summing the actual index cost to obtain the current engineering cost of the target engineering, and judging whether the current predicted engineering cost is larger than a first preset threshold value.
Taking a gym as a target project, a sum of a budget spent by a civil engineering project of the gym and a budget spent by an electromechanical equipment installation project of the gym is set as a first preset threshold.
In a specific embodiment, if the current construction cost is not greater than a first preset threshold, determining whether the predicted index cost corresponding to the at least one base quota index is greater than a second preset threshold; if the predicted index cost corresponding to a certain basic quota index is larger than a second preset threshold, a certain index influence factor sequence related to the certain basic quota index is obtained, and at least one target index influence factor in the certain index influence factor sequence is removed until the current predicted index cost of the target engineering is not larger than the second preset threshold; if the predicted index cost corresponding to the at least one basic quota index is not greater than the second preset threshold, the predicted index cost corresponding to the at least one basic quota index is used as the final index cost.
Step S104, if the current engineering cost is greater than a first preset threshold, judging whether the predicted index cost corresponding to each basic limit index is greater than a second preset threshold, wherein the second preset threshold is set according to the target index cost corresponding to at least one basic limit index contained in the index data.
In this step, if the current construction cost is greater than a first preset threshold, it is determined whether the predicted index cost corresponding to each base quota index is greater than a second preset threshold. For example, taking a gym as a target project, the budget spent by the civil engineering project of the gym is set to a second preset threshold.
Step S105, screening out at least one target basic quota index with the predicted index cost larger than a second preset threshold value, and obtaining an index influence factor sequence associated with the at least one target basic quota index.
And S106, reordering the index influence factors in each index influence factor sequence based on the numerical values of the index influence factors to obtain a target index influence factor sequence.
Step S107, removing at least one target index influence factor in the target index influence factor sequence until the current predicted engineering cost of the target engineering is not greater than a first preset threshold value, wherein the at least one target index influence factor is at least one index influence factor in the target index influence factor sequence.
In the step, as the value of the index influence factor can reflect the importance degree of the index influence factor in the basic quota index, when the value of one index influence factor is smaller, one index influence factor is regarded as an unimportant index, and when the engineering cost exceeds the engineering budget, the engineering cost is reduced by deleting the unimportant index influence factor one by one, so that the engineering cost has the engineering budget conforming to real time on the premise of not influencing the engineering quality.
In summary, the method of the application obtains index data comprising at least one basic limit index, inputs the index data into a preset limit design model to obtain predicted index cost corresponding to at least one basic limit index, sums all the predicted index cost to obtain the current predicted engineering cost of the target engineering, judges whether the current predicted engineering cost is greater than a first preset threshold value, judges whether the predicted index cost corresponding to each basic limit index is greater than a second preset threshold value if the current predicted engineering cost is greater than the first preset threshold value, screens out at least one target basic limit index with the predicted index cost greater than the second preset threshold value, obtains an index influence factor sequence associated with at least one target basic limit index, reorders index influence factors in each index influence factor sequence based on the numerical value of the index influence factor to obtain a target index influence factor sequence, and finally removes at least one target index influence factor in the target index influence factor sequence until the current predicted engineering cost of the target engineering is not greater than the first preset threshold value, and reduces engineering quality of the engineering by deleting unimportant index influence factors one by one, thereby realizing that the engineering quality is not in accordance with the budget of real-time.
Referring to fig. 2, a block diagram of a quota design management system for use in construction engineering according to the present application is shown.
As shown in fig. 2, the quota design management system 200 includes a determination module 210, a prediction module 220, a first determination module 230, a second determination module 240, a screening module 250, a ranking module 260, and a removal module 270.
The determining module 210 is configured to determine each basic quota index of the target engineering and at least one index influence factor associated with each basic quota index, and rank the at least one index influence factor according to the value of the index influence factor to obtain an index influence factor sequence; the prediction module 220 is configured to obtain index data including at least one basic quota index, input the index data into a preset quota design model, and obtain a predicted index cost corresponding to the at least one basic quota index; a first judging module 230 configured to sum the predicted construction costs to obtain a current predicted construction cost of the target construction, and judge whether the current predicted construction cost is greater than a first preset threshold, where the first preset threshold is dynamically set according to a target construction cost corresponding to at least one basic quota index included in the index data; a second judging module 240 configured to judge whether the predicted cost corresponding to each base limit indicator is greater than a second preset threshold value if the current engineering cost is greater than a first preset threshold value, the second preset threshold value being set according to a target cost corresponding to at least one base limit indicator included in the indicator data; a screening module 250 configured to screen at least one target base quota index with a predicted index cost greater than a second preset threshold, and obtain an index influence factor sequence associated with the at least one target base quota index; a ranking module 260 configured to reorder the index influencing factors in each index influencing factor sequence based on the numerical values of the index influencing factors to obtain a target index influencing factor sequence; the removing module 270 removes at least one target index influence factor in the target index influence factor sequence until the current predicted construction cost of the target construction is not greater than a first preset threshold, where the at least one target index influence factor is at least one index influence factor in the target index influence factor sequence that is the smallest.
It should be understood that the modules depicted in fig. 2 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are equally applicable to the modules in fig. 2, and are not described here again.
In other embodiments, embodiments of the present application further provide a computer readable storage medium having stored thereon a computer program, the program instructions, when executed by a processor, cause the processor to perform the quota design management method for construction engineering in any of the method embodiments described above;
as one embodiment, the computer-readable storage medium of the present application stores computer-executable instructions configured to:
determining each basic quota index of the target engineering and at least one index influence factor associated with each basic quota index, and sequencing the at least one index influence factor according to the numerical value of the index influence factor to obtain an index influence factor sequence;
acquiring index data containing at least one basic quota index, and inputting the index data into a preset quota design model to obtain a predicted index cost corresponding to the at least one basic quota index;
summing all the predicted construction costs to obtain the current predicted construction cost of the target construction, and judging whether the current predicted construction cost is greater than a first preset threshold value or not, wherein the first preset threshold value is dynamically set according to the target construction cost corresponding to at least one basic quota index contained in the index data;
if the current engineering cost is greater than a first preset threshold, judging whether the predicted index cost corresponding to each basic limit index is greater than a second preset threshold, wherein the second preset threshold is set according to the target index cost corresponding to at least one basic limit index contained in the index data;
screening at least one target basic quota index with the predicted index cost greater than a second preset threshold value, and acquiring an index influence factor sequence associated with the at least one target basic quota index;
reordering the index influence factors in each index influence factor sequence based on the numerical values of the index influence factors to obtain a target index influence factor sequence;
and removing at least one target index influence factor in the target index influence factor sequence until the current predicted engineering cost of the target engineering is not greater than a first preset threshold value, wherein the at least one target index influence factor is at least one minimum index influence factor in the target index influence factor sequence.
The computer readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of a quota design management system for construction engineering, and the like. In addition, the computer-readable storage medium may include high-speed random access memory, and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer readable storage medium optionally includes memory remotely located with respect to the processor, the remote memory being connectable through a network to a quota design management system for use in construction projects. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 3, where the device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, memory 320, input device 330, and output device 340 may be connected by a bus or other means, for example in fig. 3. Memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications of the server and data processing by running non-volatile software programs, instructions and modules stored in the memory 320, i.e., implements the quota design management method for construction engineering of the above-described method embodiments. The input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function controls for the quota design management system of the construction project. The output device 340 may include a display device such as a display screen.
The electronic equipment can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present application.
As an embodiment, the electronic device is applied to a quota design management system for construction engineering, and is used for a client, and includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to:
determining each basic quota index of the target engineering and at least one index influence factor associated with each basic quota index, and sequencing the at least one index influence factor according to the numerical value of the index influence factor to obtain an index influence factor sequence;
acquiring index data containing at least one basic quota index, and inputting the index data into a preset quota design model to obtain a predicted index cost corresponding to the at least one basic quota index;
summing all the predicted construction costs to obtain the current predicted construction cost of the target construction, and judging whether the current predicted construction cost is greater than a first preset threshold value or not, wherein the first preset threshold value is dynamically set according to the target construction cost corresponding to at least one basic quota index contained in the index data;
if the current engineering cost is greater than a first preset threshold, judging whether the predicted index cost corresponding to each basic limit index is greater than a second preset threshold, wherein the second preset threshold is set according to the target index cost corresponding to at least one basic limit index contained in the index data;
screening at least one target basic quota index with the predicted index cost greater than a second preset threshold value, and acquiring an index influence factor sequence associated with the at least one target basic quota index;
reordering the index influence factors in each index influence factor sequence based on the numerical values of the index influence factors to obtain a target index influence factor sequence;
and removing at least one target index influence factor in the target index influence factor sequence until the current predicted engineering cost of the target engineering is not greater than a first preset threshold value, wherein the at least one target index influence factor is at least one minimum index influence factor in the target index influence factor sequence.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product, which may be stored in a computer-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the various embodiments or methods of some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A quota design management method for use in construction engineering, comprising:
determining each basic quota index of the target engineering and at least one index influence factor associated with each basic quota index, and sequencing the at least one index influence factor according to the numerical value of the index influence factor to obtain an index influence factor sequence;
acquiring index data containing at least one basic quota index, and inputting the index data into a preset quota design model to obtain a predicted index cost corresponding to the at least one basic quota index;
summing all the predicted construction costs to obtain the current predicted construction cost of the target construction, and judging whether the current predicted construction cost is greater than a first preset threshold value or not, wherein the first preset threshold value is dynamically set according to the target construction cost corresponding to at least one basic quota index contained in the index data;
if the current engineering cost is greater than a first preset threshold, judging whether the predicted index cost corresponding to each basic limit index is greater than a second preset threshold, wherein the second preset threshold is set according to the target index cost corresponding to at least one basic limit index contained in the index data;
screening at least one target basic quota index with the predicted index cost greater than a second preset threshold value, and acquiring an index influence factor sequence associated with the at least one target basic quota index;
reordering the index influence factors in each index influence factor sequence based on the numerical values of the index influence factors to obtain a target index influence factor sequence;
and removing at least one target index influence factor in the target index influence factor sequence until the current predicted engineering cost of the target engineering is not greater than a first preset threshold value, wherein the at least one target index influence factor is at least one minimum index influence factor in the target index influence factor sequence.
2. The quota design management method for a building project of claim 1 wherein a base quota index is an item in said target project, said item comprising a civil engineering project of the target project, an electromechanical device installation project, and an intelligent companion device.
3. The limit design management method for construction engineering according to claim 1, wherein before obtaining index data including at least one basic limit index, inputting the index data into a preset limit design model, and obtaining a prediction index cost corresponding to the at least one basic limit index, the method further comprises:
acquiring historical index data, wherein the historical index data comprises at least one historical basic quota index;
the historical index data is used as sample data and is input into a network model, the network model is trained to output historical prediction index cost, and the network model is a BP neural network model;
and taking the difference between the historical predicted index cost and the historical actual index cost corresponding to the historical basic limit index to obtain a target difference value, and correcting the parameters of the network model according to the target difference value until the difference between the historical predicted index cost output by the network model and the historical actual index cost corresponding to the historical basic limit index is smaller than a preset difference value.
4. A quota design management method for use in building engineering according to claim 3, wherein said quota design model has the expression:
wherein Q is the cost of the prediction index corresponding to the basic quota index, k i For the cost of the ith index influencing factor associated with each base quota index, N is the total number of index influencing factors.
5. The method of claim 1, wherein summing the predicted construction costs to obtain a current predicted construction cost for the target construction, and determining whether the current predicted construction cost is greater than a first predetermined threshold comprises:
obtaining target index cost corresponding to at least one basic quota index contained in the index data, and summing the target index cost to obtain a first preset threshold;
and summing the actual index cost to obtain the current engineering cost of the target engineering, and judging whether the current predicted engineering cost is larger than a first preset threshold value.
6. A quota design management method for a building project in accordance with claim 1, wherein after determining whether said current predicted construction cost is greater than a first preset threshold, said method further comprises:
if the current engineering cost is not greater than a first preset threshold, judging whether the predicted index cost corresponding to the at least one basic quota index is greater than a second preset threshold;
if the predicted index cost corresponding to a certain basic quota index is larger than a second preset threshold, a certain index influence factor sequence related to the certain basic quota index is obtained, and at least one target index influence factor in the certain index influence factor sequence is removed until the current predicted index cost of the target engineering is not larger than the second preset threshold.
7. The quota design management method for a building engineering according to claim 6, wherein after determining whether a predicted price of a target corresponding to said at least one base quota index is greater than a second preset threshold, said method further comprises:
and if the predicted index cost corresponding to the at least one basic quota index is not greater than a second preset threshold value, the predicted index cost corresponding to the at least one basic quota index is used as the final index cost.
8. A quota design management system for use in construction projects, comprising:
the determining module is configured to determine each basic quota index of the target engineering and at least one index influence factor associated with each basic quota index, and sort the at least one index influence factor according to the numerical value of the index influence factor to obtain an index influence factor sequence;
the prediction module is configured to acquire index data containing at least one basic quota index, input the index data into a preset quota design model and obtain a prediction index cost corresponding to the at least one basic quota index;
the first judging module is configured to sum the predicted construction costs to obtain the current predicted construction cost of the target construction, judge whether the current predicted construction cost is larger than a first preset threshold value or not, and dynamically set the first preset threshold value according to the target construction cost corresponding to at least one basic limit index contained in the index data;
the second judging module is configured to judge whether the predicted index cost corresponding to each basic quota index is larger than a second preset threshold value or not if the current engineering cost is larger than a first preset threshold value, and the second preset threshold value is set according to the target index cost corresponding to at least one basic quota index contained in the index data;
the screening module is configured to screen at least one target basic quota index with the predicted index cost being larger than a second preset threshold value, and acquire an index influence factor sequence associated with the at least one target basic quota index;
the sequencing module is configured to reorder the index influence factors in each index influence factor sequence based on the numerical values of the index influence factors to obtain a target index influence factor sequence;
the removing module is used for removing at least one target index influence factor in the target index influence factor sequence until the current predicted engineering cost of the target engineering is not greater than a first preset threshold value, wherein the at least one target index influence factor is at least one index influence factor in the target index influence factor sequence.
9. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311026463.0A CN116993386A (en) | 2023-08-15 | 2023-08-15 | Quota design management method and system for constructional engineering |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311026463.0A CN116993386A (en) | 2023-08-15 | 2023-08-15 | Quota design management method and system for constructional engineering |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116993386A true CN116993386A (en) | 2023-11-03 |
Family
ID=88530080
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311026463.0A Pending CN116993386A (en) | 2023-08-15 | 2023-08-15 | Quota design management method and system for constructional engineering |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116993386A (en) |
-
2023
- 2023-08-15 CN CN202311026463.0A patent/CN116993386A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113110313A (en) | Construction process control method based on digital twinning | |
| CN111415027A (en) | Method and device for constructing component prediction model | |
| CN111199469A (en) | User payment model generation method and device and electronic equipment | |
| Macek et al. | Buildings renovation and maintenance in the public sector | |
| CN114155072A (en) | Financial prediction model construction method and system based on big data analysis | |
| Ding et al. | Construction cost management strategy based on BIM technology and neural network model | |
| CN113793126B (en) | Real-time dynamic monitoring method, system, terminal and storage medium for engineering cost | |
| CN112200459B (en) | Power distribution network data quality analysis and evaluation method and system | |
| CN110826196B (en) | Industrial equipment operation data processing method and device | |
| CN117422374A (en) | Canteen intelligent purchasing method based on big data technology, electronic equipment and medium | |
| CN116993386A (en) | Quota design management method and system for constructional engineering | |
| CN117035482A (en) | Land utilization comprehensive renovation performance evaluation method and system | |
| CN115860562A (en) | Software workload rationality evaluation method, device and equipment | |
| CN116090234A (en) | Energy saving method, device, equipment and storage medium for equipment operation state | |
| CN115115469A (en) | Method and system for evaluating scheduling efficiency of three-dimensional library, storage medium and terminal | |
| CN114819721A (en) | Business outlet evaluation method and device, electronic equipment and storage medium | |
| CN114971053A (en) | Training method and device for online prediction model of network line loss rate of low-voltage transformer area | |
| CN114492979A (en) | IPSO-based power grid overhaul operation standard cost prediction method | |
| CN114138743A (en) | ETL task automatic configuration method and device based on machine learning | |
| CN110991841B (en) | Analysis method for nonstandard behaviors in bidding process based on AI technology | |
| CN114154415A (en) | Equipment life prediction method and device | |
| CN112541730A (en) | Project working hour statistical method, device and storage medium | |
| CN114154768A (en) | Natural gas demand prediction method, device, electronic equipment and medium | |
| CN110210959A (en) | Analysis method, device and the storage medium of financial data | |
| CN111582498B (en) | QA auxiliary decision-making method and system based on machine learning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |