CN115564477A - Cost index data management method and related device - Google Patents
Cost index data management method and related device Download PDFInfo
- Publication number
- CN115564477A CN115564477A CN202211175569.2A CN202211175569A CN115564477A CN 115564477 A CN115564477 A CN 115564477A CN 202211175569 A CN202211175569 A CN 202211175569A CN 115564477 A CN115564477 A CN 115564477A
- Authority
- CN
- China
- Prior art keywords
- target
- project
- cost index
- engineering
- acquiring
- 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
Images
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
- G06Q30/0283—Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- General Engineering & Computer Science (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a cost index data management method and a related device, comprising the following steps: acquiring project information from a target database, and cleaning the project information according to preset conditions to acquire target project information; grouping the target project information according to the engineering parameters to determine a target engineering project group; when a calling instruction containing a target engineering project group is detected, determining a target engineering project according to the calling instruction; acquiring a cost index corresponding to the target engineering project from a target engineering project group, and determining a target cost index according to a historical cost index corresponding to the target engineering project; matching a preset number of similar engineering projects according to the target engineering project to obtain a construction cost index of the similar engineering projects; and feeding back a target construction cost index and a construction cost index of the target engineering project and the construction cost indexes of the similar engineering projects according to the calling instruction, thereby realizing the technical effect of accurately acquiring construction cost data during the inquiry of the construction cost data.
Description
Technical Field
The present application relates to the field of cost data, and in particular, to a cost index data management method and related apparatus.
Background
At present, new technologies represented by mobile internet, internet of things, cloud computing and the like are widely applied to various industries in the society, and the production and living modes of people are continuously changed, so that great progress of the society is promoted. The application of information technology is not open to large data, and whatever information is finally converted into digital codes and stored, and the data becomes a carrier for recording information.
Before each construction project is developed, construction units are bid, each construction unit can evaluate the construction cost of the project when bidding, and the construction cost is calculated by workers according to information provided by owners and information obtained by the workers in site investigation. In the project cost industry, very large project cost information data have been accumulated. In order to make better use of the data, the data are classified and stored, and are also managed and applied visually, so that the value of the data is developed to promote the development of the industry.
Therefore, how to accurately acquire the construction cost data in the process of inquiring the construction cost data becomes a technical problem to be solved urgently.
Disclosure of Invention
In order to accurately acquire construction cost data during construction cost data query, the application provides a construction cost index data management method and a related device.
In a first aspect, the cost index data management method provided by the present application adopts the following technical scheme:
a cost index data management method includes:
acquiring project information from a target database, and cleaning the project information according to preset conditions to acquire target project information;
grouping the target project information according to the project parameters to determine a target project group;
when a calling instruction containing the target engineering project group is detected, determining a target engineering project according to the calling instruction;
acquiring a cost index corresponding to the target engineering project from the target engineering project group, and determining a target cost index according to a historical cost index corresponding to the target engineering project;
matching a preset number of similar engineering projects according to the target engineering project to obtain a cost index of the similar engineering projects;
and feeding back the target construction cost index, the construction cost index and the similar construction project construction cost index of the target construction project according to the calling instruction.
Optionally, the step of obtaining the item information from the target database, and cleaning the item information according to a preset condition to obtain the target item information includes:
acquiring project information from a target database, and acquiring a project completion score from the project information;
acquiring a grading threshold corresponding to a preset condition;
and screening according to the score threshold value and the project completion score to obtain target project information.
Optionally, the step of performing screening according to the score threshold value and the project completion score to obtain target project information includes:
determining a lowest entry score according to the score threshold;
judging whether the project information meets the screening requirement or not according to the lowest entry score and the project completion score in the project information;
and if so, screening according to the lowest entry-level score in the score threshold value and the project completion score to obtain target project information.
Optionally, the step of obtaining the cost index corresponding to the target engineering project from the target engineering project group and determining the target cost index according to the historical cost index corresponding to the target engineering project includes:
acquiring a cost index corresponding to the target engineering project from the target engineering project group;
acquiring a historical cost index corresponding to the target engineering project;
determining the cost variation trend according to the historical cost index;
acquiring a cost index, and judging whether the cost index meets the change trend;
and if so, taking the cost index as a target cost index.
Optionally, after the step of obtaining the cost index and determining whether the cost index meets the change trend, the method further includes:
if the cost index does not meet the change trend, acquiring a cost index generation log;
and determining whether the cost index is a target cost index according to the cost index generation log.
Optionally, the step of obtaining the cost index of the similar engineering projects according to the matching of the target engineering projects with a preset number of similar engineering projects includes:
acquiring matching factors of the target engineering project and acquiring a preset matching number;
matching corresponding similar engineering projects in the project information according to the matching factors and the preset matching quantity;
and acquiring the cost index corresponding to the similar engineering project.
Optionally, the matching factors include: building type, building size, building form, number of floors, floor height, foundation type, and engineering structure.
In a second aspect, the present application provides a cost index data management apparatus, comprising:
the project information acquisition module is used for acquiring project information from a target database and cleaning the project information according to preset conditions to acquire target project information;
the engineering project module is used for grouping the target project information according to engineering parameters to determine a target engineering project group;
the instruction confirming module is used for determining a target engineering project according to a calling instruction when the calling instruction containing the target engineering project group is detected;
the construction cost index module is used for acquiring the construction cost index corresponding to the target engineering project from the target engineering project group and determining a target construction cost index according to the historical construction cost index corresponding to the target engineering project;
the second construction cost index module is used for matching a preset number of similar engineering projects according to the target engineering project to obtain the construction cost indexes of the similar engineering projects;
and the data feedback module is used for feeding back the target construction cost index, the construction cost index and the similar construction project construction cost index of the target construction project according to the calling instruction.
In a third aspect, the present application provides a computer apparatus, the apparatus comprising: a memory, a processor that, when executing computer instructions stored by the memory, performs a method as in any one of the above.
In a fourth aspect, the present application provides a computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method as described above.
In summary, the present application includes the following beneficial technical effects:
the method comprises the steps of obtaining project information from a target database, and cleaning the project information according to preset conditions to obtain target project information; grouping the target project information according to the project parameters to determine a target project group; when a calling instruction containing the target engineering project group is detected, determining a target engineering project according to the calling instruction; acquiring a cost index corresponding to the target engineering project from the target engineering project group, and determining a target cost index according to a historical cost index corresponding to the target engineering project; matching a preset number of similar engineering projects according to the target engineering project to obtain a construction cost index of the similar engineering projects; and feeding back the target construction cost index, the construction cost index and the similar construction project construction cost index of the target construction project according to the calling instruction, thereby realizing the technical effect of accurately acquiring construction cost data during the construction cost data query.
Drawings
FIG. 1 is a schematic diagram of a computer device architecture of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart diagram of a first embodiment of a cost index data management method according to the present invention;
FIG. 3 is a flow chart illustrating a second embodiment of a cost index data management method according to the present invention;
FIG. 4 is a block diagram showing the configuration of a cost index data management apparatus according to a first embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a computer device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the computer device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 is not intended to be limiting of computer devices and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a cost index data management program.
In the computer device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the computer apparatus of the present invention may be provided in a computer apparatus that calls a cost index data management program stored in the memory 1005 through the processor 1001 and executes a cost index data management method provided by an embodiment of the present invention.
The embodiment of the invention provides a cost index data management method, and referring to fig. 2, fig. 2 is a flow diagram of a first embodiment of the cost index data management method of the invention.
In this embodiment, the cost index data management method includes the following steps:
step S10: and acquiring project information from the target database, and cleaning the project information according to preset conditions to acquire the target project information.
It should be noted that the project information includes project name, project type, feature description, project cost and project amount of each hierarchy.
In a particular implementation, cleansing project information to obtain target project information includes obtaining base data, manifest data, quota data, and material data in the target project information. The list data comprises list codes, list names, measuring units, feature descriptions, engineering quantities, comprehensive unit prices, price points, labor cost unit prices, labor cost price points, material cost unit prices, material cost price points, machine cost unit prices, machine cost price points, comprehensive cost unit prices, comprehensive cost price points and rated labor unit prices. The quota data includes a quota code, a quota name, a measurement unit, a project quantity, a total unit price, a total price, a labor cost unit price, a labor cost total price, a material cost unit price, a material cost total price, a machine cost unit price, a machine cost total price, a total cost unit price, a total cost total price, and a quota labor cost unit price. The material data includes material name, specification type, unit of measure, unit price, usage, and total price.
It should be noted that, data cleansing (Data cleansing), a process of reviewing and verifying Data, is intended to delete duplicate information, correct existing errors, and provide Data consistency.
Data cleansing also looks by name to "wash out" dirty, meaning the last procedure to find and correct recognizable errors in a data file, including checking data consistency, handling invalid and missing values, etc. Because the data in the data warehouse is a collection of data oriented to a certain subject, the data is extracted from a plurality of business systems and contains historical data, so that the condition that some data are wrong data and some data conflict with each other is avoided, and the wrong or conflicting data are obviously unwanted and are called as 'dirty data'. We need to "wash" dirty data according to certain rules, which is data washing. The task of data cleaning is to filter the data which do not meet the requirements, and the filtered result is sent to a business administration department to confirm whether the data are filtered or corrected by a business unit and then extracted. The data which is not qualified is mainly three categories of incomplete data, error data and repeated data. Data cleaning is different from questionnaire examination, and data cleaning after entry is generally completed by a computer instead of a human.
Further, in order to reduce the amount of calculation and reduce the interference of redundant information, the step of acquiring the project information from the target database and cleaning the project information according to preset conditions to acquire the target project information includes: acquiring project information from a target database, and acquiring a project completion score from the project information; acquiring a grading threshold corresponding to a preset condition; and screening according to the score threshold value and the project completion score to obtain target project information.
In a specific implementation, the step of performing screening according to the score threshold value and the project completion score to obtain target project information includes: determining a lowest entry score according to the score threshold; judging whether the project information meets the screening requirement or not according to the lowest entry score and the project completion score in the project information; and if so, screening according to the lowest entry score in the score threshold value and the project completion score to acquire target project information.
Step S20: and grouping according to the engineering parameters in the target project information to determine a target engineering project group.
It should be noted that the engineering parameters refer to parameters used for grouping in this embodiment, and the grouping parameters include: the type of project, the stage of the project, and the cost index range.
In specific implementation, grouping is performed in the target project information according to the engineering parameters to determine the target engineering project groups by acquiring the engineering parameters in the target project information, grouping is performed on the target project information according to different engineering parameters, and specific grouping information of each group is determined through grouping.
Step S30: and when a calling instruction containing the target engineering project group is detected, determining the target engineering project according to the calling instruction.
It should be noted that, when a call instruction including a target project group is detected, the call instruction is an instruction triggered when a user or a system queries.
It can be understood that, when a call instruction containing a target engineering project group is detected, determining a target engineering project according to the call instruction means parsing the call instruction, and determining the target engineering project by parsing the content of the key field.
Step S40: and acquiring the cost index corresponding to the target engineering project from the target engineering project group, and determining the target cost index according to the historical cost index corresponding to the target engineering project.
It should be noted that the cost index is "cost per square meter". The total cost such as manpower, material, machinery, management cost, profit, price difference and the like required by each unit square meter is specified as the cost index. The cost index is expressed by money, and has total cost index and project cost index, for example, in a house, the total cost is 170 yuan per square meter, wherein the civil engineering is 142 yuan/m 2, the upper and lower water projects are 9.5 yuan/m 2, the lighting is 4.5 yuan/m 2, the heating is 11 yuan/m 2, and the gas is 3 yuan/m 2.
It is understood that the construction cost index is an index reflecting the degree of influence of price change on construction cost in a certain period.
Further, in order to avoid the influence of the occurrence of the error data, the step of obtaining the cost index corresponding to the target engineering project from the target engineering project group and determining the target cost index according to the historical cost index corresponding to the target engineering project comprises: acquiring a cost index corresponding to the target engineering project from the target engineering project group; acquiring a historical cost index corresponding to the target engineering project; determining the cost variation trend according to the historical cost index; acquiring a cost index, and judging whether the cost index meets the change trend; and if so, taking the cost index as a target cost index.
In a specific implementation, after the step of obtaining the cost index and determining whether the cost index satisfies the change trend, the method further includes: if the cost index does not meet the change trend, acquiring the cost index generation log; and determining whether the cost index is a target cost index according to the cost index generation log.
Step S50: and matching a preset number of similar engineering projects according to the target engineering project to obtain the cost index of the similar engineering projects.
It should be noted that, the similar engineering projects, that is, the projects similar to the target engineering project under the condition of satisfying the matching condition, provide various references to the feedback person by providing the similar engineering projects. In this embodiment, the similar engineering projects may only refer to similar processes with different engineering contents in the same industry, or refer to similar projects with different industries but the same engineering contents.
Step S60: and feeding back a target construction cost index, a construction cost index and a similar construction project construction cost index of the target construction project according to the calling instruction.
The method comprises the steps of acquiring project information from a target database, and cleaning the project information according to preset conditions to acquire target project information; grouping the target project information according to engineering parameters to determine a target engineering project group; when a calling instruction containing the target engineering project group is detected, determining a target engineering project according to the calling instruction; acquiring a cost index corresponding to the target engineering project from the target engineering project group, and determining a target cost index according to a historical cost index corresponding to the target engineering project; matching a preset number of similar engineering projects according to the target engineering project to obtain a cost index of the similar engineering projects; and feeding back the target construction cost index, the construction cost index and the similar construction project construction cost index of the target construction project according to the calling instruction, thereby realizing the technical effect of accurately acquiring construction cost data during the construction cost data query.
Referring to FIG. 3, it is a schematic flow chart of a cost index data management method according to a second embodiment of the present invention.
Based on the first embodiment, the step S50 of the cost index data management method in this embodiment further includes:
step S501: and acquiring the matching factors of the target engineering project and acquiring the preset matching quantity.
It should be noted that the matching factors include: building type, building size, building form, number of floors, floor height, foundation type, and engineering structure.
Step S502: and matching the corresponding similar engineering projects in the project information according to the matching factors and the preset matching quantity.
In a specific implementation, the preset number is preset according to a specific use condition of the embodiment, if the computational power consumption of the computer is considered, the preset number may be set to 1, and if the experience effect of the user is satisfied, the preset number may be set to an integer of 5 or more.
Step S503: and acquiring the cost indexes corresponding to the similar engineering projects.
In the embodiment, the preset matching number is obtained at the same time by obtaining the matching factors of the target engineering project; matching corresponding similar engineering projects in the project information according to the matching factors and the preset matching quantity; acquiring a cost index corresponding to the similar engineering project; the matching of similar project items is realized by obtaining the matching factors, the cost indexes of the similar project items are further obtained, and the technical effect of automatically providing the contrast information of the similar project items during the project cost query is realized.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a program for cost index data management is stored, and the program for cost index data management, when executed by a processor, implements the steps of the method for cost index data management as described above.
Referring to fig. 4, fig. 4 is a block diagram illustrating a first embodiment of the apparatus for cost index data management according to the present invention.
As shown in fig. 4, a cost index data management apparatus according to an embodiment of the present invention includes:
the project information acquisition module 10 is configured to acquire project information from a target database, and clean the project information according to preset conditions to acquire target project information;
the engineering project module 20 is used for grouping the target project information according to engineering parameters to determine a target engineering project group;
the instruction confirming module 30 is configured to, when a call instruction including the target engineering project group is detected, determine a target engineering project according to the call instruction;
a cost index module 40, configured to obtain a cost index corresponding to the target engineering project from the target engineering project group, and determine a target cost index according to a historical cost index corresponding to the target engineering project;
the second cost index module 50 is used for matching a preset number of similar engineering projects according to the target engineering project to obtain the cost index of the similar engineering projects;
and the data feedback module 60 is used for feeding back the target construction cost index, the construction cost index and the similar construction project construction cost index of the target construction project according to the calling instruction.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited in this respect.
The method comprises the steps of acquiring project information from a target database, and cleaning the project information according to preset conditions to acquire target project information; grouping the target project information according to engineering parameters to determine a target engineering project group; when a calling instruction containing the target engineering project group is detected, determining a target engineering project according to the calling instruction; acquiring a cost index corresponding to the target engineering project from the target engineering project group, and determining a target cost index according to a historical cost index corresponding to the target engineering project; matching a preset number of similar engineering projects according to the target engineering project to obtain a cost index of the similar engineering projects; and feeding back the target construction cost index and the construction cost index of the target engineering project and the construction cost indexes of the similar engineering projects according to the calling instruction, thereby realizing the technical effect of accurately acquiring construction cost data during the inquiry of the construction cost data.
In an embodiment, the project information obtaining module 10 is further configured to obtain project information from a target database, and obtain a project completion score in the project information; acquiring a grading threshold corresponding to a preset condition; and screening according to the score threshold value and the project completion score to obtain target project information.
In one embodiment, the determining the lowest entry score according to the score threshold; judging whether the project information meets the screening requirement or not according to the lowest entry score and the project completion score in the project information; and if so, screening according to the lowest entry score in the score threshold value and the project completion score to acquire target project information.
In an embodiment, the cost index module 40 is further configured to obtain a cost index corresponding to the target engineering project from the target engineering project group; acquiring a historical cost index corresponding to the target engineering project; determining the cost variation trend according to the historical cost index; acquiring a cost index, and judging whether the cost index meets the change trend; and if so, taking the cost index as a target cost index.
In an embodiment, the cost index module 40 is further configured to obtain the cost index generation log if the cost index does not satisfy the trend; and determining whether the cost index is a target cost index according to the cost index generation log.
In an embodiment, the second cost index module 50 is further configured to obtain matching factors of the target engineering project and obtain a preset matching number at the same time; matching corresponding similar engineering projects in the project information according to the matching factors and the preset matching quantity; and acquiring the cost index corresponding to the similar engineering project.
In one embodiment, the second cost index module 50 is further configured to match factors including: building type, building size, building form, number of floors, floor height, foundation type, and engineering structure.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may refer to the method for managing cost index data provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A cost index data management method is characterized by comprising the following steps:
acquiring project information from a target database, and cleaning the project information according to preset conditions to acquire target project information;
grouping the target project information according to the project parameters to determine a target project group;
when a calling instruction containing the target engineering project group is detected, determining a target engineering project according to the calling instruction;
acquiring a cost index corresponding to the target engineering project from the target engineering project group, and determining a target cost index according to a historical cost index corresponding to the target engineering project;
matching a preset number of similar engineering projects according to the target engineering project to obtain a cost index of the similar engineering projects;
and feeding back a target construction cost index, a construction cost index and the similar construction project construction cost index of the target construction project according to the calling instruction.
2. The cost index data management method of claim 1, wherein the step of obtaining project information from a target database and cleaning the project information according to preset conditions to obtain target project information comprises:
acquiring project information from a target database, and acquiring a project completion score from the project information;
acquiring a grading threshold corresponding to a preset condition;
and screening according to the score threshold value and the project completion score to obtain target project information.
3. The cost index data management method of claim 2, wherein the step of filtering to obtain target project information based on the score threshold in combination with the project completion score comprises:
determining a lowest entry score according to the score threshold;
judging whether the project information meets the screening requirement or not according to the lowest entry score and the project completion score in the project information;
and if so, screening according to the lowest entry score in the score threshold value and the project completion score to acquire target project information.
4. The cost index data management method of claim 1, wherein the step of obtaining a cost index corresponding to the target project item from the target project item group and determining a target cost index based on a historical cost index corresponding to the target project item comprises:
acquiring a cost index corresponding to the target engineering project from the target engineering project group;
acquiring a historical cost index corresponding to the target engineering project;
determining the cost variation trend according to the historical cost index;
acquiring a cost index, and judging whether the cost index meets the change trend;
and if so, taking the cost index as a target cost index.
5. The cost index data management method of claim 4, wherein said step of obtaining a cost index and determining whether said cost index satisfies said trend of change further comprises:
if the cost index does not meet the change trend, acquiring the cost index generation log;
and determining whether the cost index is a target cost index according to the cost index generation log.
6. The cost index data management method of claim 1, wherein the step of obtaining the cost index of the similar project by matching a preset number of similar project projects according to the target project comprises:
acquiring matching factors of the target engineering project and acquiring a preset matching number;
matching corresponding similar engineering projects in the project information according to the matching factors and the preset matching number;
and acquiring the cost index corresponding to the similar engineering project.
7. The cost index data management method of claim 6, wherein the matching factors include: building type, building size, building form, number of floors, floor height, foundation type, and engineering structure.
8. A cost index data management apparatus characterized by comprising:
the project information acquisition module is used for acquiring project information from a target database and cleaning the project information according to preset conditions to acquire target project information;
the engineering project module is used for grouping the target project information according to engineering parameters to determine a target engineering project group;
the instruction confirming module is used for determining a target engineering project according to a calling instruction when the calling instruction containing the target engineering project group is detected;
the construction cost index module is used for acquiring the construction cost index corresponding to the target engineering project from the target engineering project group and determining a target construction cost index according to the historical construction cost index corresponding to the target engineering project;
the second construction cost index module is used for matching a preset number of similar engineering projects according to the target engineering project and obtaining the construction cost indexes of the similar engineering projects;
and the data feedback module is used for feeding back the target construction cost index, the construction cost index and the similar construction project construction cost index of the target construction project according to the calling instruction.
9. A computer device, the device comprising: a memory, a processor that, when executing computer instructions stored by the memory, performs the method of any of claims 1 to 7.
10. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211175569.2A CN115564477A (en) | 2022-09-26 | 2022-09-26 | Cost index data management method and related device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211175569.2A CN115564477A (en) | 2022-09-26 | 2022-09-26 | Cost index data management method and related device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115564477A true CN115564477A (en) | 2023-01-03 |
Family
ID=84742103
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211175569.2A Pending CN115564477A (en) | 2022-09-26 | 2022-09-26 | Cost index data management method and related device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115564477A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116860737A (en) * | 2023-07-22 | 2023-10-10 | 广东至衡工程管理有限公司 | Engineering cost data storage method, device, equipment and storage medium |
-
2022
- 2022-09-26 CN CN202211175569.2A patent/CN115564477A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116860737A (en) * | 2023-07-22 | 2023-10-10 | 广东至衡工程管理有限公司 | Engineering cost data storage method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111553779B (en) | Method and device for sorting bid winning candidates, bid inviting terminal and storage medium | |
| US8340995B2 (en) | Method and system of using artifacts to identify elements of a component business model | |
| CN110728422A (en) | Building information model, method, device and settlement system for construction project | |
| CN115564477A (en) | Cost index data management method and related device | |
| CN114356940A (en) | Power grid data management platform and method | |
| CN111414410A (en) | Data processing method, device, equipment and storage medium | |
| CN113393060A (en) | Task allocation method and device, electronic equipment and storage medium | |
| CN115456398A (en) | Consumable missing detection method, device, storage medium and system | |
| CN114493249A (en) | Road construction full-period management method, system, terminal and storage medium for road engineering supervision | |
| CN116630082A (en) | Method and device for allocating production resources, electronic equipment and storage medium | |
| CN109359946B (en) | Project auditing method and system | |
| CN116775956A (en) | Method, device, equipment and storage medium for creating multi-level BOM model | |
| CN113793126B (en) | Real-time dynamic monitoring method, system, terminal and storage medium for engineering cost | |
| KR100921217B1 (en) | System and method for estimating income | |
| US20140149186A1 (en) | Method and system of using artifacts to identify elements of a component business model | |
| CN113850489A (en) | Method and device for selecting high-voltage main network transformer based on Internet of things, product and storage medium | |
| Wood et al. | The effectiveness of the bills of quantities in Australia | |
| CN114511174A (en) | Service index map construction method and device | |
| Alqodri et al. | Helpdesk ticket support system based on fuzzy Tahani algorithm | |
| CN113065881A (en) | Method and device for calculating price of material, computer equipment and storage medium | |
| EP2682904A1 (en) | Portable terminal management server and portable terminal management program | |
| CN112070464B (en) | Project management method, device, equipment and storage medium thereof | |
| CN116629980B (en) | Pricing method of software engineering, terminal equipment and storage medium | |
| CN114549060A (en) | Method and device for acquiring return parameters of exchange resources and storage medium | |
| EP3623953B1 (en) | Technical improvement evaluation for a set of applications |
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 |