CN115601079A

CN115601079A - Intelligent correction method and device for engineering cost

Info

Publication number: CN115601079A
Application number: CN202211273196.2A
Authority: CN
Inventors: 王忠军; 罗育林; 孙建; 谭桂林; 丁剑波; 李寿荣
Original assignee: China Southern Power Grid Digital Platform Technology Guangdong Co ltd
Current assignee: China Southern Power Grid Digital Platform Technology Guangdong Co ltd
Priority date: 2022-10-18
Filing date: 2022-10-18
Publication date: 2023-01-13

Abstract

The invention discloses an intelligent correction method and device for engineering cost, wherein the method comprises the following steps: acquiring project cost data of each project to be judged in the determined target project; and for each item to be judged, judging whether the item cost data of the item to be judged needs to be corrected or not according to the item cost data of the item to be judged, if so, correcting the item cost data of the item to be judged, and updating the project cost data of the target project according to the corrected item cost data of all the items to be judged. Therefore, the project cost data can be intelligently corrected and judged, the project cost data can be intelligently corrected without depending on the cost engineer to correct the project cost data according to the evaluation experience, and therefore the project cost data can be quickly corrected, the correction accuracy of the project cost data can be improved, and the effective correction effect of the project cost data can be achieved.

Description

Intelligent correction method and device for engineering cost

Technical Field

The invention relates to the technical field of construction cost, in particular to an intelligent correction method and device for construction cost.

Background

With the rapid development of Chinese economy, the infrastructure construction and commodity construction of China are greatly developed, and the engineering cost industry gradually occupies a place in the construction field. For the development planning of the construction industry in different stages, the construction cost not only can directly influence the macroscopic decision of the cost of each engineering project, but also can influence the development direction and the standardization of the construction market, and becomes a powerful force for guiding the development of the construction market.

At present, the traditional engineering cost method is generally realized by depending on a cost engineer to perform project evaluation and data operation on a plurality of engineering projects, but the manual engineering cost method is easy to cause the situation of manual calculation errors, so the cost engineer needs to correct the cost data of each engineering project. However, practice has found that manually correcting the cost data of each engineering project not only takes a lot of time to check the cost data of each engineering project, but also easily causes correction errors due to human negligence or insufficient evaluation experience of the cost engineer project. It can be seen that the current engineering cost correction method has the problems of low correction efficiency and low correction accuracy.

Disclosure of Invention

The invention aims to solve the technical problem of providing a method and a device for intelligently correcting the project cost, which are beneficial to quickly correcting the project cost data and improving the correction accuracy of the project cost data, thereby achieving the effective correction effect of the project cost data.

In order to solve the technical problem, the first aspect of the present invention discloses an intelligent engineering cost correction method, including:

determining all items to be judged in a target project to be corrected and judged, and acquiring project cost data of each item to be judged in the target project; the project cost data of each project to be judged comprises at least one of a material equipment type, material equipment cost, material equipment using amount, worker distribution condition, worker cost and a cost calculation formula corresponding to the project to be judged;

for each item to be judged, judging whether the item cost data of the item to be judged needs to be corrected or not according to the item cost data of the item to be judged, if so, performing the correction operation on the item cost data of the item to be judged to obtain the corrected item cost data of the item to be judged;

and updating the project cost data of the target project according to the corrected project cost data of all the projects to be judged.

As an alternative implementation, in the first aspect of the present invention, the determining, for each item to be determined, whether a correction operation needs to be performed on the item cost data of the item to be determined based on the item cost data of the item to be determined includes:

for each item to be judged, judging whether the item cost data of the item to be judged meets data application conditions;

when the project cost data of the project to be judged is judged not to meet the data application condition, determining that the project cost data of the project to be judged needs to be corrected;

when the project cost data of the project to be judged meets the data application condition, acquiring preset project budget cost of the project to be judged and calculated project settlement cost of the project to be judged, and calculating a cost difference value between the project budget cost and the project settlement cost;

judging whether the expense difference value is within a preset difference value range or not;

when the expense difference value is judged to be within the preset difference value range, determining that the project cost data of the project to be judged does not need to be corrected;

and when the expense difference value is judged not to be in the preset difference value range, determining that the project cost data of the project to be judged needs to be corrected.

As an optional implementation manner, in the first aspect of the present invention, the determining, for each item to be determined, whether the item cost data of the item to be determined satisfies a data application condition includes:

for each item to be judged, judging whether the item cost data of the item to be judged has a target data condition; the target data condition comprises a data error condition and/or a data missing condition, the data error condition comprises at least one of a formula variable reference error condition, a basic data reference error condition and a basic data numerical value error condition, and the data missing condition comprises a formula variable missing condition and/or a basic data missing condition;

when the situation that the project cost data of the project to be judged has the target data is judged, determining that the project cost data of the project to be judged does not meet the data application condition;

when the situation that the project cost data of the project to be judged does not have the target data condition is judged, acquiring preset project implementation arrangement information of the project to be judged, and judging whether the project implementation arrangement information of the project to be judged is matched with the corresponding project cost data or not;

when the project implementation arrangement information of the project to be judged is matched with the corresponding project cost data, determining that the project cost data of the project to be judged meets the data application condition;

and when the project implementation arrangement information of the project to be judged is not matched with the corresponding project cost data, determining that the project cost data of the project to be judged does not meet the data application condition.

As an optional implementation manner, in the first aspect of the present invention, after determining that the cost difference is not within the preset difference range, before determining that a modification operation needs to be performed on the project cost data of the project to be determined, the method further includes:

determining item information of each historical item in a preset target historical item list and item information of the item to be judged; the item information of each historical item comprises at least one of the item type, the item implementation scheduling information and the obtained item implementation result of the historical item, and the item information of the item to be judged comprises at least one of the item type, the item implementation scheduling information and the required obtained item implementation result of the item to be judged;

calculating the item similarity between each history item and the item to be judged according to the item information of each history item and the item information of the item to be judged, and determining a reference history item with the item similarity being more than or equal to a first similarity threshold value from all the history items;

analyzing a cost difference value influence factor corresponding to the cost difference value according to the project cost data of the reference historical project and the cost data of the project to be judged, and judging whether the cost difference value influence factor is a preset cost difference value influence factor;

when the cost difference influence factor is judged to be the preset cost difference influence factor, triggering and executing the step of determining without executing correction operation on the project cost data of the project to be judged;

and triggering and executing the step that the determination needs to execute the correction operation on the project cost data of the project to be judged when the cost difference influence factor is judged not to be the preset cost difference influence factor.

As an optional implementation manner, in the first aspect of the present invention, the target history item list is determined by:

determining the project information of the target project and the project information of each historical project in a preset historical project list; the project information of the target project comprises at least one of a project type of the target project, a project amount of the target project and project information of all first projects contained in the target project, the project information of each historical project comprises at least one of a project type of the historical project, a project amount of the historical project and project information of all second projects contained in the historical project, and all the first projects comprise all the projects to be judged;

calculating the project similarity between the target project and each historical project according to the project information of the target project and the project information of each historical project, and determining a reference historical project with the project similarity being greater than or equal to a preset second similarity threshold value from all the historical projects;

and determining all the second items contained in the reference history project as a target history item list.

As an alternative implementation manner, in the first aspect of the present invention, the performing a correction operation on the project cost data of the item to be determined to obtain the corrected project cost data of the item to be determined includes:

determining all data correction objects corresponding to the project cost data of the project to be judged and a correction type corresponding to each data correction object; all the data correction objects comprise at least one of material equipment types, material equipment expenses, material equipment usage, worker distribution conditions, worker expenses and cost calculation formulas corresponding to the judgment items needing to be corrected, and the correction type corresponding to each data correction object comprises at least one of a reference correction type, a filling correction type and a change correction type;

and according to all the data correction objects and the correction types corresponding to the data correction objects, performing correction operation on the project cost data of the project to be judged to obtain the corrected project cost data of the project to be judged.

As an optional implementation manner, in the first aspect of the present invention, the determining all items to be determined in the target project to be corrected and determined includes:

determining project information of each first project contained in a target project to be corrected and judged, and predicting the project implementation influence condition of each first project on the target project according to the project information of each first project; the engineering implementation influence condition comprises an engineering implementation progress influence condition and/or an engineering implementation result influence condition;

determining the engineering implementation influence degree of each first project on the target engineering according to the engineering implementation influence condition of each first project on the target engineering, and determining all first projects with the engineering implementation influence degree greater than or equal to a preset influence degree threshold value from all the first projects as all items to be determined in the target engineering.

The second aspect of the invention discloses an intelligent correction device for engineering cost, which comprises:

the determining module is used for determining all items to be determined in the target project to be corrected and determined;

the acquisition module is used for acquiring project cost data of each project to be judged in the target project; the project cost data of each project to be judged comprises at least one of a material equipment type, material equipment cost, material equipment usage, worker distribution condition, worker cost and a cost calculation formula corresponding to the project to be judged;

the judging module is used for judging whether to execute correction operation on the project cost data of the project to be judged or not according to the project cost data of the project to be judged for each project to be judged;

the correcting module is used for executing correction operation on the project cost data of the project to be judged to obtain the corrected project cost data of the project to be judged when the judging result of the judging module is yes;

and the updating module is used for updating the project cost data of the target project according to the modified project cost data of all the projects to be judged.

As an optional implementation manner, in the second aspect of the present invention, the determining module includes:

the judging submodule is used for judging whether the project cost data of the project to be judged meets the data application condition or not for each project to be judged;

the determining submodule is used for determining that the project cost data of the project to be judged needs to be corrected when the judging submodule judges that the project cost data of the project to be judged does not meet the data application condition;

the acquisition submodule is used for acquiring preset project budget cost of the project to be judged and the calculated project settlement cost of the project to be judged when the judgment submodule judges that the project cost data of the project to be judged meets the data application condition;

the calculation submodule is used for calculating a cost difference value between the project budget cost and the project settlement cost;

the judgment submodule is also used for judging whether the expense difference value is within a preset difference value range;

the determining submodule is further configured to determine that no correction operation needs to be performed on the project cost data of the project to be determined when the judging submodule judges that the cost difference is within the preset difference range; and when the judgment sub-module judges that the cost difference value is not in the preset difference value range, determining that the project cost data of the project to be judged needs to be corrected.

As an optional implementation manner, in the second aspect of the present invention, the manner that the determining submodule determines, for each item to be determined, whether the item cost data of the item to be determined satisfies a data application condition is specifically:

when the project cost data of the project to be judged is judged to have the target data condition, determining that the project cost data of the project to be judged does not meet data application conditions;

As an optional implementation manner, in the second aspect of the present invention, the determining sub-module is further configured to:

after the judging submodule judges that the expense difference value is not in the preset difference value range and before the item cost data of the item to be judged is determined to be required to be corrected, item information of each historical item in a preset target historical item list and item information of the item to be judged are determined; the item information of each historical item comprises at least one of the item type, the item implementation scheduling information and the obtained item implementation result of the historical item, and the item information of the item to be judged comprises at least one of the item type, the item implementation scheduling information and the required obtained item implementation result of the item to be judged;

the calculation submodule is further used for calculating the item similarity between each history item and the item to be judged according to the item information of each history item and the item information of the item to be judged;

the determining submodule is further used for determining the reference history items of which the item similarity is greater than or equal to a first similarity threshold from all the history items;

and the judging module further comprises:

the analysis submodule is used for analyzing a cost difference value influence factor corresponding to the cost difference value according to the project cost data of the reference historical project and the cost data of the project to be judged;

the judgment submodule is also used for judging whether the cost difference influence factor is a preset cost difference influence factor; when the cost difference influence factor is judged to be the preset cost difference influence factor, triggering the determining submodule to execute the step of determining without executing correction operation on the project cost data of the project to be determined; and triggering the determining submodule to execute the step that the determination needs to execute the correction operation on the project cost data of the project to be determined when the cost difference influence factor is judged not to be the preset cost difference influence factor.

As an optional implementation manner, in the second aspect of the present invention, the target history item list is determined by:

As an optional implementation manner, in the second aspect of the present invention, the modifying module performs a modifying operation on the project cost data of the item to be determined, and the manner of obtaining the modified project cost data of the item to be determined is specifically:

As an optional implementation manner, in the second aspect of the present invention, the manner that the determining module determines all items to be determined in the target project to be corrected and determined is specifically:

The third aspect of the invention discloses another intelligent correction device for engineering cost, which comprises:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program codes stored in the memory to execute the intelligent engineering cost correcting method disclosed by the first aspect of the invention.

The fourth aspect of the invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer storage medium is used for executing the intelligent engineering cost correction method disclosed by the first aspect of the invention.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, all items to be judged in a target project to be corrected and judged are determined, and project cost data of each item to be judged in the target project are obtained; for each item to be judged, judging whether the item cost data of the item to be judged needs to be corrected or not according to the item cost data of the item to be judged, if so, performing correction on the item cost data of the item to be judged to obtain the corrected item cost data of the item to be judged; and updating the project cost data of the target project according to the corrected project cost data of all projects to be judged. Therefore, the project cost data can be intelligently corrected and judged, the project cost data can be intelligently corrected without depending on the cost engineer to correct the project cost data according to the evaluation experience, and therefore the project cost data can be corrected quickly, the correction accuracy of the project cost data can be improved, the effective correction effect of the project cost data can be improved, and the standardization of the project cost data can be realized.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic flow chart of an intelligent engineering cost correction method disclosed in an embodiment of the present invention;

FIG. 2 is a schematic flow chart of another method for intelligently correcting construction cost according to an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of an intelligent engineering cost correcting device according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of another intelligent construction cost correcting device disclosed in the embodiment of the invention;

fig. 5 is a schematic structural diagram of another intelligent engineering cost correcting device disclosed in the embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.

The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The invention discloses an intelligent project cost correction method and device, which are beneficial to quickly correcting project cost data and improving the correction accuracy of the project cost data, so that the project cost data can be effectively corrected. The following are detailed descriptions.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent engineering cost correction method according to an embodiment of the present invention. The intelligent construction cost correcting method described in fig. 1 can be applied to correcting construction cost data of electric power engineering and also can be applied to correcting construction cost data of hydraulic engineering, and the embodiment of the invention does not limit the type of the engineering of which construction cost data needs to be corrected. Optionally, the method may be implemented by a cost data correction system, and the cost data correction system may be integrated in the cost data correction device, or may be a local server or a cloud server for processing a cost data correction process, and the embodiment of the present invention is not limited. As shown in fig. 1, the intelligent engineering cost modification method may include the following operations:

101. determining all items to be judged in the target project to be corrected and judged, and acquiring project cost data of each item to be judged in the target project.

In the embodiment of the present invention, optionally, the project cost data of each item to be determined includes at least one of a material equipment type, a material equipment cost, a material equipment usage amount, a worker allocation condition, a worker cost, and a cost calculation formula corresponding to the item to be determined. Further optionally, the project cost data of each project to be determined may further include a material equipment cost tax rate and/or a worker cost tax rate, wherein the material equipment cost tax rate may be determined by the import and export of the material equipment. Still further, the target engineering may include a construction engineering and/or an installation engineering, wherein the construction engineering refers to facility engineering such as various buildings and structures constituting the construction process, such as a power distribution station construction engineering, an overhead line construction engineering, a cable line construction engineering, and the like; the installation engineering refers to the combination, trial fitting and debugging engineering of various devices, pipelines, cables and auxiliary devices thereof, such as the debugging engineering of cable lines, the debugging engineering of power distribution stations and the like, which form the production process system.

102. And for each item to be judged, judging whether the item cost data of the item to be judged needs to be corrected or not according to the item cost data of the item to be judged, if so, performing the correction operation on the item cost data of the item to be judged to obtain the corrected item cost data of the item to be judged.

In the embodiment of the present invention, further, determining whether it is necessary to perform a correction operation on the project cost data of the project to be determined according to the project cost data of the project to be determined, includes:

judging whether the project cost data of the project to be judged has a target data condition or not according to the project cost data of the project to be judged, if so, determining a target degree corresponding to the target data condition, and judging whether the target degree is greater than or equal to a preset degree threshold value or not; when the target degree is judged to be more than or equal to the preset degree threshold value, determining that the project cost data of the project to be judged needs to be corrected; and when the target degree is judged to be smaller than the preset degree threshold value, determining that the project cost data of the project to be judged does not need to be corrected.

Optionally, the target data condition includes a data formula error condition and/or a data formula missing condition. Further optionally, the target degree includes an error degree corresponding to an error condition of the data formula and/or a missing degree corresponding to a missing of the data formula. Specifically, the determination of the target degree may be understood as determining a correction priority of the target data condition, that is, preferentially processing the target condition data with the target degree greater than or equal to a preset degree threshold, such as preferentially processing a price error condition of the material equipment, then further processing a price defect condition of the material equipment, and finally further processing a material equipment defect condition.

Still further, as an optional implementation manner, before performing a correction operation on the project cost data of the item to be determined to obtain the corrected project cost data of the item to be determined, the method may further include:

and determining a correction mark corresponding to the target data situation according to the existing target data situation, and sending the target data situation and the correction mark corresponding to the target data situation to a matched corrector, so that the corrector performs correction operation on the project cost data of the project to be judged according to the correction mark and the target data situation.

103. And updating the project cost data of the target project according to the corrected project cost data of all projects to be judged.

In the embodiment of the invention, after the project cost data of all projects to be judged are corrected, the project cost data of other projects which do not need to be corrected can be updated, so that the project cost data of the target project is updated.

Therefore, the embodiment of the invention can intelligently correct and judge the project cost data, and intelligently and pertinently correct the project cost data without depending on cost operators to correct the project cost data according to the evaluation experience, so that the project cost data can be corrected quickly, the correction accuracy of the project cost data can be improved, the effective correction effect of the project cost data can be improved, and the normalization of the project cost data can be realized.

In an alternative embodiment, the determining, in the step 102, for each item to be determined, whether a modification operation needs to be performed on the item cost data of the item to be determined according to the item cost data of the item to be determined includes:

for each item to be judged, judging whether the project cost data of the item to be judged meets the data application condition;

when the project cost data of the project to be judged does not meet the data application condition, determining that the project cost data of the project to be judged needs to be corrected;

when the project cost data of the project to be judged meet the data application conditions, acquiring preset project budget cost of the project to be judged and calculated project settlement cost of the project to be judged, and calculating a cost difference value between the project budget cost and the project settlement cost;

judging whether the cost difference value is within a preset difference value range or not;

when the cost difference value is judged to be within the preset difference value range, determining that the project cost data of the project to be judged does not need to be corrected;

In this alternative embodiment, specifically, the determination of whether the project cost data of the project to be determined is the data application condition may be understood as determining whether the project cost data of the project to be determined has a data missing condition and whether the actual execution requirement of the project is met. For example, when the project cost data of the project A does not have the condition of data error and data leakage, but the quantity of B equipment in the project cost data determines that two equipment are required to be added according to the project execution requirement, the project cost data of the project A can be judged not to meet the data application condition; and if the project cost data of the project A does not have the condition of data error and omission and meets the project engineering execution requirement, judging that the project cost data of the project A meets the data application condition.

Therefore, the optional embodiment can judge whether the project cost data needs to be corrected or not by judging whether the project cost data meet the data application condition or not, whether the project related cost difference value is too large or not and the like in a targeted manner, so that the reliability and the accuracy of the correction judgment operation on the project cost data are improved, unnecessary data correction can be omitted, the subsequent correction reliability and accuracy on the project cost data are improved, and the project cost data can be effectively corrected.

In another alternative embodiment, the determining, for each item to be determined, whether the item cost data of the item to be determined satisfies the data application condition in the above steps includes:

for each item to be judged, judging whether the item cost data of the item to be judged has a target data condition;

when the situation that the project cost data of the project to be judged does not have the target data is judged, acquiring preset project implementation arrangement information of the project to be judged, and judging whether the project implementation arrangement information of the project to be judged is matched with the corresponding project cost data or not;

In this alternative embodiment, the target data condition may optionally include a data error condition and/or a data loss condition. Further optionally, the data error condition includes at least one of a formula variable reference error condition, a base data reference error condition, and a base data value error condition; data loss conditions include formula variable loss conditions and/or underlying data loss conditions. Specifically, the formula variable reference error condition can be understood as a cyclic reference condition existing in the formula variables, that is, a final value cannot be obtained because a plurality of formula variables are iterated back and forth continuously, and the formula variable missing condition can be understood as an unknown variable used in the formula and cannot be further calculated.

Therefore, the optional embodiment can judge whether the project cost data meets the data application condition according to whether the project cost data has the target data condition and whether the project cost data is matched with the project implementation arrangement information, so that the reliability and the accuracy of the data application condition judgment operation on the project cost data are improved, the reliability and the accuracy of the correction judgment operation on the project cost data are improved, and the project cost data can be corrected in a targeted manner.

In a further optional embodiment, after the cost difference is determined not to be within the preset difference range, before it is determined that the modification operation needs to be performed on the project cost data of the project to be determined, the method may further include:

determining item information of each historical item in a preset target historical item list and item information of an item to be judged;

calculating the item similarity between each history item and the item to be judged according to the item information of each history item and the item information of the item to be judged, and determining a reference history item with the item similarity being more than or equal to a first similarity threshold value from all history items;

analyzing cost difference value influence factors corresponding to the cost difference values according to the project cost data of the reference historical project and the cost data of the project to be judged, and judging whether the cost difference value influence factors are preset cost difference value influence factors or not;

when the cost difference influence factor is judged to be the preset cost difference influence factor, the step of determining the trigger execution does not need to execute the correction operation on the project cost data of the project to be judged;

and when the cost difference influence factor is judged not to be the preset cost difference influence factor, triggering and executing the step that the determination needs to execute the correction operation on the project cost data of the project to be judged.

In this alternative embodiment, optionally, the project information of each historical project includes at least one of a project type, project implementation scheduling information, and a retrieved project implementation result of the historical project. Further optionally, the item information of the item to be determined includes at least one of an item type of the item to be determined, item implementation scheduling information, and an item implementation result to be obtained. Still further optionally, the preset cost difference impact factor may include at least one of a preset cost difference impact factor related to a supplier, a preset cost difference impact factor related to a construction party, and a preset cost difference impact factor related to a cost tax rate. Specifically, when there is a large cost difference in the related costs of the project engineering, the cause of the existing cost difference may be analyzed by comparing the related costs with similar reference historical projects, such as the cost difference is too large due to the change of the supplier, the cost difference is too large due to the increase of the price of the material equipment of the supplier, the cost difference is too large due to the increase of the tax rate of the material equipment, and so on.

The target history item list is determined by the following method:

determining engineering information of a target engineering and engineering information of each historical engineering in a preset historical engineering list;

and determining all second items contained in the reference history project as a target history item list.

Optionally, the project information of the target project includes at least one of a project type of the target project, a project amount of the target project, and project information of all first projects included in the target project; the project information of each historical project comprises at least one of a project type of the historical project, a project amount of the historical project and project information of all second projects contained in the historical project. Specifically, all the first items include all the items to be determined.

Therefore, the optional embodiment can determine the reference historical item similar to the item to be judged through the similar reference historical project, so that the item to be judged and the reference historical item are subjected to cost analysis between items, and the intelligent analysis on the related cost of the item is realized.

Example two

Referring to fig. 2, fig. 2 is a schematic flow chart of an intelligent engineering cost correction method according to an embodiment of the present invention. The intelligent construction cost correcting method described in fig. 2 may be applied to correcting construction cost data of an electric power project, and may also be applied to correcting construction cost data of a hydraulic project. Optionally, the method may be implemented by a cost data correction system, and the cost data correction system may be integrated in the cost data correction device, or may be a local server or a cloud server for processing a cost data correction process, and the embodiment of the present invention is not limited. As shown in fig. 2, the intelligent project cost correction method may include the following operations:

201. determining all items to be judged in the target project to be corrected and judged, and acquiring project cost data of each item to be judged in the target project.

202. And for each item to be judged, judging whether the item cost data of the item to be judged needs to be corrected or not according to the item cost data of the item to be judged.

203. And for each item to be judged, when the judgment result is yes, determining all data correction objects corresponding to the item cost data of the item to be judged and the correction type corresponding to each data correction object, and executing correction operation on the item cost data of the item to be judged according to all the data correction objects and the correction types corresponding to each data correction object to obtain the corrected item cost data of the item to be judged.

In the embodiment of the present invention, optionally, all the data correction objects include at least one of a material equipment type, a material equipment cost, a material equipment usage amount, a worker allocation condition, a worker cost, and a cost calculation formula corresponding to the determination item to be corrected. Further optionally, the type of modification corresponding to each data modification object includes at least one of a reference modification type, a fill modification type, and a change modification type. For example, if there is an error condition of cyclic reference of the formula variable in the project cost data of the project to be determined, at this time, the cost calculation formula may be determined as a data correction object to be corrected, and the error condition of cyclic reference of the formula variable may be corrected by setting the maximum iteration number and the maximum error, thereby completing the operation of correcting the project cost data of the project to be determined.

204. And updating the project cost data of the target project according to the corrected project cost data of all projects to be judged.

In the embodiment of the present invention, for other descriptions of step 201, step 202, and step 204, please refer to the detailed description of step 101 to step 103 in the first embodiment, which is not repeated herein.

Therefore, the project cost data can be corrected according to the data correction object and the corresponding correction type by implementing the embodiment of the invention, so that the project cost data can be intelligently corrected, the correction reliability and the correction accuracy of the project cost data can be improved, the reliable and accurate project cost data can be obtained, and the cost standardization of the project cost data can be realized.

In an optional embodiment, the determining all items to be determined in the target project to be corrected and determined in step 104 includes:

determining project information of each first project contained in the target project to be corrected and judged, and predicting the project implementation influence condition of each first project on the target project according to the project information of each first project;

determining the engineering implementation influence degree of each first project on the target project according to the engineering implementation influence condition of each first project on the target project, and determining all first projects with the engineering implementation influence degree greater than or equal to a preset influence degree threshold value from all first projects as all items to be determined in the target project.

In this optional embodiment, optionally, the engineering implementation influence condition includes an engineering implementation progress influence condition and/or an engineering implementation result influence condition. Specifically, if an error or a missing condition occurs in a certain first project and the engineering implementation result/the engineering implementation progress of the target engineering is greatly affected, the first project may be determined as a to-be-determined project that needs to be subjected to a correction determination operation, so as to ensure that the error or the missing condition does not occur in the first project.

Therefore, the optional embodiment can determine whether the first project needs to be corrected and judged according to the predicted project implementation influence condition of the first project on the target project, so that the determination reliability and accuracy of the project to be judged can be improved, further, the correction and judgment operation can be performed on the project to be judged in a targeted manner, and the effective correction and judgment on the whole project can be improved while the whole project is subjected to quick correction and judgment.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent engineering cost correction device according to an embodiment of the present invention. As shown in fig. 3, the intelligent construction cost correcting device may include:

the determining module 301 is configured to determine all items to be determined in a target project to be corrected and determined;

an obtaining module 302, configured to obtain project cost data of each item to be determined in a target project;

the judging module 303 is configured to judge, for each item to be judged, whether a modification operation needs to be performed on the item cost data of the item to be judged according to the item cost data of the item to be judged;

a correcting module 304, configured to, for each item to be determined, when the determination result of the determining module 303 is yes, perform a correcting operation on the item cost data of the item to be determined, to obtain corrected item cost data of the item to be determined;

and an updating module 305, configured to update the project cost data of the target project according to the modified project cost data of all the projects to be determined.

In the embodiment of the invention, the project cost data of each project to be judged comprises at least one of the material equipment type, the material equipment cost, the material equipment using amount, the worker distribution condition, the worker cost and the cost calculation formula corresponding to the project to be judged.

It can be seen that the implementation of the intelligent project cost correction device described in fig. 3 can perform intelligent correction judgment on project cost data, and perform intelligent and targeted correction on the project cost data, without depending on the cost engineer to correct the project cost data according to the evaluation experience, so that the project cost data can be corrected quickly, the correction accuracy of the project cost data can be improved, the effective correction effect of the project cost data can be improved, and the normalization of the project cost data can be realized.

In an optional embodiment, the determining module 303 includes:

the judgment submodule 3031 is used for judging whether the project cost data of the project to be judged meets the data application condition or not for each project to be judged;

the determining submodule 3032 is configured to determine that a correction operation needs to be performed on the project cost data of the item to be determined when the determining submodule 3031 determines that the project cost data of the item to be determined does not satisfy the data application condition;

an obtaining sub-module 3033, configured to obtain a preset project budget cost of the project to be determined and a calculated project settlement cost of the project to be determined when the determining sub-module 3031 determines that the project cost data of the project to be determined meets the data application condition;

a calculating submodule 3034, configured to calculate a cost difference between the project budget cost and the project settlement cost;

the judgment submodule 3031 is further configured to judge whether the cost difference is within a preset difference range;

the determining submodule 3032 is further configured to determine that a modification operation does not need to be performed on the project cost data of the project to be determined when the determining submodule 3031 determines that the cost difference is within the preset difference range; when the judgment sub-module 3031 judges that the cost difference value is not within the preset difference value range, it is determined that the project cost data of the project to be judged needs to be corrected.

It can be seen that the implementation of the intelligent project cost correction device described in fig. 4 can specifically determine whether project cost data needs to be corrected by determining whether the project cost data meets the data application condition, whether the project related cost difference value is too large, and the like, so that the correction determination operation reliability and accuracy of the project cost data can be improved, unnecessary data correction can be omitted, the subsequent correction reliability and accuracy of the project cost data can be improved, and the project cost data can be effectively corrected.

In another alternative embodiment, for each item to be determined, the manner of determining whether the item cost data of the item to be determined satisfies the data application condition by the determining sub-module 3031 is specifically as follows:

In this alternative embodiment, the target data condition includes a data error condition and/or a data missing condition, the data error condition includes at least one of a formula variable reference error condition, a base data reference error condition, and a base data numerical value error condition, and the data missing condition includes a formula variable missing condition and/or a base data missing condition.

It can be seen that the intelligent project cost correction apparatus described in fig. 4 can determine whether project cost data satisfies data application conditions according to whether the project cost data has a target data condition and whether the project cost data matches the project implementation arrangement information, which is advantageous to improve the reliability and accuracy of the data application condition determination operation on the project cost data, and further, is advantageous to improve the reliability and accuracy of the correction determination operation on the project cost data, so that the project cost data can be corrected in a targeted manner.

In yet another alternative embodiment, the determining submodule 3032 is further configured to:

after the judgment submodule 3031 judges that the cost difference is not in the preset difference range, before determining that the project cost data of the project to be judged needs to be corrected, determining the project information of each historical project in a preset target historical project list and the project information of the project to be judged;

the calculating submodule 3034 is further configured to calculate an item similarity between each history item and the item to be determined according to the item information of each history item and the item information of the item to be determined;

the determining submodule 3032 is further configured to determine, from all the history items, a reference history item whose item similarity is greater than or equal to a first similarity threshold;

and, the judging module 303 further includes:

the analysis submodule 3035 is used for analyzing a cost difference value influence factor corresponding to the cost difference value according to the project cost data of the reference historical project and the cost data of the project to be judged;

the determining submodule 3031 is further configured to determine whether the cost difference impact factor is a preset cost difference impact factor; when the cost difference influence factor is judged to be the preset cost difference influence factor, the step of determining that the project cost data of the project to be judged does not need to be corrected is triggered and executed by the determining submodule 3032; when the cost difference influence factor is determined not to be the preset cost difference influence factor, the trigger determining submodule 3032 determines that the modification operation needs to be executed on the project cost data of the project to be determined.

In this alternative embodiment, the item information of each history item includes at least one of an item type of the history item, item implementation scheduling information, and an obtained item implementation result, and the item information of the item to be determined includes at least one of an item type of the item to be determined, item implementation scheduling information, and an item implementation result that needs to be obtained.

The target history item list is determined by the following method:

In this optional embodiment, optionally, the engineering information of the target project includes at least one of an engineering type of the target project, an engineering quantity of the target project, and project information of all first projects included in the target project, the engineering information of each historical project includes at least one of an engineering type of the historical project, an engineering quantity of the historical project, and project information of all second projects included in the historical project, and all first projects include all projects to be determined.

It can be seen that, the intelligent correction device for engineering cost described in fig. 4 can determine the reference historical project similar to the project to be determined through the similar reference historical project, so as to analyze the cost between the project to be determined and the reference historical project, and realize the intelligent analysis of the project-related cost, so that the analysis reliability and the analysis accuracy of the project-related cost of the project to be determined can be improved, and further the correction determination reliability and the correction accuracy of the project cost data of the subsequent project to be determined can be improved, so that the project cost data of the project to be determined can be corrected in a targeted manner.

In yet another alternative embodiment, the modification module 304 performs a modification operation on the project cost data of the item to be determined, and the manner of obtaining the modified project cost data of the item to be determined is specifically as follows:

determining all data correction objects corresponding to the project cost data of the project to be judged and a correction type corresponding to each data correction object;

and executing correction operation on the project cost data of the project to be judged according to all the data correction objects and the correction types corresponding to the data correction objects to obtain the corrected project cost data of the project to be judged.

In this alternative embodiment, all data modification objects include at least one of a material equipment type, a material equipment cost, a material equipment usage, a worker allocation, a worker cost, and a cost calculation formula corresponding to a determination item to be modified, and the modification type corresponding to each data modification object includes at least one of a reference modification type, a fill modification type, and a change modification type.

It can be seen that the implementation of the intelligent project cost correction device described in fig. 4 can correct the project cost data according to the data correction object and the corresponding correction type, so as to realize the intelligent correction of the project cost data, and is beneficial to improving the correction reliability and correction accuracy of the project cost data, so as to obtain reliable and accurate project cost data, thereby realizing the cost standardization of the project cost data.

In yet another alternative embodiment, the determining module 301 determines all items to be determined in the target project to be corrected and determined in a specific manner as follows:

In this optional embodiment, the engineering implementation influence condition includes an engineering implementation progress influence condition and/or an engineering implementation result influence condition.

Therefore, the intelligent correction device for the engineering cost described in fig. 4 can determine whether the first project needs to be corrected and judged according to the predicted engineering implementation influence situation of the first project on the target project, so that the determination reliability and accuracy of the project to be judged can be improved, the correction and judgment operation can be performed on the project to be judged in a targeted manner, and the effective correction and judgment on the whole engineering project can be improved while the whole engineering project is subjected to quick correction and judgment.

Example four

Referring to fig. 5, fig. 5 is a schematic structural diagram of another intelligent engineering cost correction device according to an embodiment of the present invention. As shown in fig. 5, the intelligent construction cost correcting device may include:

a memory 401 storing executable program code;

a processor 402 coupled to a memory 401;

the processor 402 calls the executable program code stored in the memory 401 to execute the steps of the intelligent engineering cost modification method described in the first embodiment or the second embodiment of the present invention.

EXAMPLE five

The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer instructions are used for executing the steps of the intelligent engineering cost correction method described in the first embodiment or the second embodiment of the invention.

Example six

An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps in the method for intelligently correcting construction costs described in the first or second embodiment.

The above-described embodiments of the apparatus are only illustrative, and the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, wherein the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM) or other Memory capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.

Finally, it should be noted that: the method and the device for intelligently correcting the engineering cost disclosed by the embodiment of the invention are only the preferred embodiment of the invention, are only used for explaining the technical scheme of the invention, and are not limited; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent engineering cost correction method is characterized by comprising the following steps:

2. The intelligent project cost modification method according to claim 1, wherein the determining, for each project to be determined, whether a modification operation needs to be performed on the project cost data of the project to be determined according to the project cost data of the project to be determined includes:

for each item to be judged, judging whether the item cost data of the item to be judged meets the data application condition;

3. The intelligent project cost modification method according to claim 2, wherein said judging, for each of said items to be judged, whether or not the project cost data of said item to be judged satisfies a data application condition includes:

4. The intelligent project cost modification method according to claim 2, wherein, after determining that the cost difference is not within the preset difference range, before determining that a modification operation needs to be performed on the project cost data of the project to be determined, the method further comprises:

analyzing a cost difference value influence factor corresponding to the cost difference value according to the project cost data of the reference historical project and the cost data of the project to be judged, and judging whether the cost difference value influence factor is a preset cost difference value influence factor or not;

5. The intelligent construction cost modification method according to claim 4, wherein the target history item list is determined by:

according to the project information of the target project and the project information of each historical project, calculating the project similarity between the target project and each historical project, and determining a reference historical project with the project similarity being larger than or equal to a preset second similarity threshold from all the historical projects;

6. The intelligent project cost modification method according to any one of claims 1 to 5, wherein the performing a modification operation on the project cost data of the project to be determined to obtain modified project cost data of the project to be determined includes:

determining all data correction objects corresponding to the project cost data of the project to be judged and a correction type corresponding to each data correction object; all the data correction objects comprise at least one of material equipment type, material equipment cost, material equipment usage, worker distribution condition, worker cost and construction cost calculation formula corresponding to the judgment items needing to be corrected, and the correction type corresponding to each data correction object comprises at least one of a reference correction type, a filling correction type and a change correction type;

7. The intelligent construction cost correcting method according to claim 6, wherein the determining all items to be judged in the target construction to be judged by correction comprises:

determining the engineering implementation influence degree of each first project on the target project according to the engineering implementation influence condition of each first project on the target project, and determining all first projects with the engineering implementation influence degree larger than or equal to a preset influence degree threshold value from all first projects as all items to be determined in the target project.

8. An intelligent correction device of engineering cost, characterized in that, the device includes:

the correction module is used for executing correction operation on the project cost data of the items to be judged to obtain the corrected project cost data of the items to be judged when the judgment result of the judgment module is yes for each item to be judged;

and the updating module is used for updating the project cost data of the target project according to the corrected project cost data of all the projects to be judged.

9. An intelligent correction device of engineering cost, characterized in that, the device includes:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the intelligent project cost modification method according to any one of claims 1-7.

10. A computer storage medium storing computer instructions which, when invoked, perform a method for intelligently correcting construction costs according to any one of claims 1 to 7.