CN111815291A - Cloud computing-based engineering cost multi-calculation management method and system and storage medium thereof - Google Patents

Cloud computing-based engineering cost multi-calculation management method and system and storage medium thereof Download PDF

Info

Publication number
CN111815291A
CN111815291A CN202010700244.6A CN202010700244A CN111815291A CN 111815291 A CN111815291 A CN 111815291A CN 202010700244 A CN202010700244 A CN 202010700244A CN 111815291 A CN111815291 A CN 111815291A
Authority
CN
China
Prior art keywords
computing
resource
calculation
project
computing resource
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.)
Granted
Application number
CN202010700244.6A
Other languages
Chinese (zh)
Other versions
CN111815291B (en
Inventor
沈新伟
严晓峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Shangzi Engineering Cost Consulting Co ltd
Original Assignee
Shanghai Shangzi Engineering Cost Consulting Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shanghai Shangzi Engineering Cost Consulting Co ltd filed Critical Shanghai Shangzi Engineering Cost Consulting Co ltd
Priority to CN202010700244.6A priority Critical patent/CN111815291B/en
Publication of CN111815291A publication Critical patent/CN111815291A/en
Application granted granted Critical
Publication of CN111815291B publication Critical patent/CN111815291B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • G06F9/5072Grid computing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08Construction

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • General Engineering & Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Development Economics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to a project cost multi-calculation management method, a project cost multi-calculation management system and a storage medium thereof based on cloud computing, wherein the method comprises the steps of distributing first computing resources, and calculating a design approximate calculation by the first computing resources; allocating second operation resources, and calculating the budget of the construction drawing by the second operation resources; allocating third operation resources, and calculating completion settlement by the third operation resources; dynamically allocating the computing power of the first computing resource, the second computing resource and the third computing resource, wherein the initial state is from big to small, acquiring the computing process of the first computing resource, the computing process of the second computing resource and the computing process of the third computing resource, and computing the content quantity of local resources called by the computing processes; and reallocating the computing power, wherein the more the local resource content called by the computing process in the first computing resource, the second computing resource and the third computing resource, the stronger the computing power is. The method has the effect of reasonably distributing the computing power of the software with more construction cost.

Description

Cloud computing-based engineering cost multi-calculation management method and system and storage medium thereof
Technical Field
The application relates to the field of cost multi-calculation, in particular to a cloud computing-based engineering cost multi-calculation management method and system and a storage medium thereof.
Background
The multiple calculation, also called three calculations, in the current engineering cost management generally refers to design approximate calculation, construction drawing budget and completion settlement. The three-calculation comparison refers to comparison of completion settlement and construction drawing budget, and comparison of construction drawing budget and design approximate calculation. And the comparison aims to prevent the construction project from exceeding the investment, namely the completion settlement exceeds the construction diagram budget and the construction diagram budget over-design approximate calculation, so that the management level of the construction investment is improved.
Most of the existing three calculations are calculated by using cost software manually, for example, the calculation of design summary uses the calculation software of approximate calculation, the calculation of construction drawing budget uses the calculation software of budget, the calculation of completion settlement uses the settlement calculation software, different software has different functions, if the three calculations are carried out simultaneously, the three software are required to be operated simultaneously, and the calculation power distribution of the three software to a system or a server is equal or unknown.
Aiming at the related technologies, the inventor thinks that the defects exist that the computing power of different computing software cannot be distributed according to the requirements when the engineering cost is calculated by multiple computing software, the output time of the computing result cannot be predicted, and the data accounting is influenced.
Disclosure of Invention
In order to reasonably distribute computing power of the project cost multi-computing software, the application provides a project cost multi-computing management method and system based on cloud computing and a storage medium thereof.
In a first aspect, the present application provides a cloud computing-based engineering cost multi-calculation management method, which adopts the following technical scheme.
A project cost multi-calculation management method based on cloud computing comprises the following steps:
s1: allocating a first computing resource, wherein the first computing resource calls a preliminary design drawing, an approximate calculation quota and a cost quota index to calculate the design approximate calculation of the whole cost of the project;
s2: allocating second operation resources, wherein the second operation resources are used for calling a construction drawing, a specification, a construction organization design, a construction quota, a material consumption quota, a machine shift use quota, a building material manual and a budget manual in the construction process, and calculating the budget of the construction drawing;
s3: allocating third operation resources, wherein the third operation resources call a planned task book, a total approximate book and a single project final approximate book of a construction project, construction records, construction visas and expense records generated in sub-package projects, and calculating completion settlement;
s4: dynamically allocating the computing power of a first computing resource, a second computing resource and a third computing resource, wherein the initial state is from big to small, acquiring the computing process of the first computing resource, the computing process of the second computing resource and the computing process of the third computing resource, and computing the content quantity of local resources called by the computing processes; and the number of the first and second groups,
s5: and reallocating the computing power, wherein the more the local resource content called by the computing process in the first computing resource, the second computing resource and the third computing resource, the stronger the computing power is.
By adopting the technical scheme, the computing power is uniformly distributed to the software for carrying out multi-computing, so that the software for computing each data is managed, the condition that a certain software occupies computing power resources is avoided, meanwhile, the computing power resources are dynamically distributed, the software for processing the large amount of local resource contents called by the computing process obtains more computing power, and other software needing or processing the large amount of distributed resource contents can use the distributed computing power, thereby improving the computing speed and reasonably utilizing the computing power.
Preferably, the method further comprises the following steps:
s6: acquiring actual investment data in the project execution process by the second computing resource, comparing the guide rule estimation, the worker-available batch compounding, the initial batch compounding, the contract-price combination and the estimated settlement in real time, and calculating a deviation value after comparison;
s7: acquiring a preset deviation reference value, and if the deviation value is greater than the deviation reference value, acquiring the computing power released by the first computing resource or the third computing resource by the second computing resource until the deviation value is less than the deviation reference value; and the number of the first and second groups,
s8: the second computational resource releases computational power from the first computational resource or the third computational resource.
By adopting the technical scheme, when the deviation value calculated by the second operation resource is greater than the deviation reference value, the data has an error, or the data acquisition speed cannot catch up with the calculation speed, so that the data based on calculation is incomplete, the second operation resource preferentially acquires the calculation power of the resource released by the first operation resource or the third operation resource, and the calculation power of data acquisition or the calculation power for acquiring the data is improved.
Preferably, after the completion decision is calculated in step S3, the method further includes the steps of:
s31: a third operation resource calls a project chart and a project list, compares the approval progress of the project, the dynamic investment of a single project, the dynamic investment of the whole project and the contract amount data respectively, and calculates an auxiliary comparison result which is used for primarily judging the accuracy of completion settlement; and the number of the first and second groups,
s32: and if the auxiliary comparison result and the dynamic difference value of the completion settlement are larger than the set difference value range, recalculating the completion settlement.
By adopting the above technical scheme, the auxiliary comparison result calculated by the third computing resource is dynamic and gradually increases with the progress of the project or the input of project data, and if the dynamic difference value between the auxiliary comparison result and the completion decision is greater than the set difference value range, the data may be wrong, so the completion decision needs to be recalculated.
Preferably, the method further comprises the steps of:
s9: the larger the dynamic difference is, the more computation power is allocated to the third computation resource.
By adopting the technical scheme, the calculation power is coordinately distributed to the third calculation resource according to the dynamic difference value, and the accuracy of completion settlement is favorably ensured.
In a second aspect, the present application provides a cloud-computing-based engineering cost multi-calculation management system, which adopts the following technical solution.
A project cost multi-calculation management system based on cloud computing comprises the following modules:
the first operation module is used for allocating first operation resources, and the first operation resources are used for calling a preliminary design drawing, an approximate calculation quota and a cost quota index to calculate the design approximate calculation of the whole cost of the project;
the second operation module is used for allocating second operation resources, and the second operation resources are used for calling a construction drawing, a specification, a construction organization design, a construction quota, a material consumption quota and a machine shift use quota in the construction process, a building material manual and a budget manual and calculating the budget of the construction drawing;
the third operation module is used for distributing third operation resources, and the third operation resources are used for calling a plan task book, a total approximate book, a single project final approximate book, construction records, construction certificates and expense records generated in sub-package projects of the construction project and calculating completion settlement;
the initial allocation module is used for dynamically allocating computing power of the first computing resource, the second computing resource and the third computing resource, acquiring a computing process of the first computing resource, a computing process of the second computing resource and a computing process of the third computing resource from large to small in an initial state, and computing the content quantity of local resources called by the computing processes; and the number of the first and second groups,
and the dynamic allocation module is used for reallocating the calculation power, and in the first calculation resource, the second calculation resource and the third calculation resource, the more the content quantity of the local resources called by the calculation process is, the stronger the calculation power is.
By adopting the technical scheme, the first operation module, the second operation module, the third operation module and the initial distribution module uniformly distribute the computing power to the software which carries out multi-computing, so that the software which calculates each data is managed, the condition that a certain software occupies computing power resources is avoided, meanwhile, the dynamic distribution module dynamically distributes the computing power resources, the software which processes the large amount of local resource contents called by the operation process obtains more computing power, and other software which needs or processes the amount of distributed resource contents can use the distributed computing power, so that the computing speed is improved, and the computing power is reasonably utilized.
Preferably, the system also comprises the following modules:
the deviation calculating module is used for enabling the second computing resource to acquire actual investment data in the project execution process, comparing the guide rule estimation, the work-to-work batch reply, the initial batch reply, the contract price and the estimated settlement in real time, and calculating a deviation value after comparison;
the comparison deviation module is used for acquiring a preset deviation reference value, and if the deviation value is greater than the deviation reference value, the second computing resource acquires the computing power released by the first computing resource or the third computing resource until the deviation value is smaller than the deviation reference value; and the number of the first and second groups,
and the calculation force releasing module is used for releasing the calculation force from the first calculation resource or the third calculation resource by the second calculation resource.
By adopting the technical scheme, the calculation deviation module calculates the deviation value, the comparison deviation module judges whether the deviation value is greater than the deviation reference value, if so, the deviation value represents that the data has errors, or the data acquisition speed cannot catch up with the calculation speed, so that the data based on calculation is incomplete, the calculation force releasing module enables the second calculation resource to preferentially obtain the calculation force of the resource released by the first calculation resource or the third calculation resource, and the calculation force of data acquisition or the calculation force for acquiring the data is improved.
Preferably, the third operation module further includes:
the calculation accuracy unit is used for enabling a third operation resource to call a project chart and a project list, respectively comparing the approval progress of the project, the dynamic investment of a single project, the dynamic investment of the whole project and the contract amount data, and calculating an auxiliary comparison result which is used for primarily judging the accuracy of completion settlement; and the number of the first and second groups,
and the comparison accuracy unit is used for judging whether the auxiliary comparison result and the completion settlement dynamic difference are larger than a set difference range or not, and then the completion settlement is calculated again.
By adopting the technical scheme, the auxiliary comparison result calculated by the calculation accuracy unit is dynamic and gradually increases along with the progress of the project or the input of project data, and if the dynamic difference value between the auxiliary comparison result and the completion decision is larger than the set difference value range, the data may be wrong, so the completion decision needs to be recalculated by the comparison accuracy unit.
Preferably, the system also comprises the following modules:
and the resource allocation unit is used for allocating more calculation power to the third calculation resource when the dynamic difference value is larger.
By adopting the technical scheme, the resource allocation unit coordinately allocates calculation force for the third calculation resource according to the dynamic difference value, and the completion settlement accuracy is guaranteed.
In a third aspect, the present application provides a computer storage medium, which adopts the following technical solutions:
a computer-readable storage medium storing a computer program that can be loaded by a processor and executes any of the above cloud computing-based project cost multi-calculation management methods.
Drawings
FIG. 1 is a schematic flow chart of the cloud computing-based project cost multi-calculation management method S1-S5.
FIG. 2 is a block diagram of a system structure of the cloud-computing-based project cost multi-calculation management method S6-S9.
Fig. 3 is a system structure block diagram of the cloud computing-based project cost multi-calculation management system according to the present application.
Reference numerals: 1. a first operation module; 2. a second operation module; 3. a third operation module; 31. a calculation accuracy unit; 32. a comparison accuracy unit; 4. an initial allocation module; 5. a dynamic allocation module; 6. a deviation calculating module; 7. a comparison deviation module; 8. a release calculation force module; 9. a resource allocation unit.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiments of the present application will be described in further detail with reference to the drawings attached hereto.
The embodiment of the application discloses a cloud computing-based engineering cost multi-calculation management method based on a local computing platform or an online distributed computing platform running an operating system. As shown in fig. 1 and 2, the method includes the following steps:
s1: and allocating a first computing resource, wherein the first computing resource calls the preliminary design drawing, the approximate calculation quota and the cost quota index to calculate the design approximate calculation of the total cost of the project. And allocating first operation resources in the operating system, wherein if the local computing platform allocates the operation force of not more than one third as the first budget resources for computing, and if the distributed computing platform allocates the operation force of not more than one third as the first budget resources for computing.
S2: and allocating second operation resources, wherein the second operation resources are used for calling a construction drawing, a specification, a construction organization design, a construction quota, a material consumption quota, a machine shift use quota, a building material manual and a budget manual in the construction process, and calculating the budget of the construction drawing. And allocating second operation resources in the operating system, if the second operation resources are allocated by the local computing platform, allocating no more than one third of the operation force as the first budget resources for computing, and if the second operation resources are allocated by the distributed computing platform, allocating no more than one third of the distributed operation force as the first budget resources for computing.
S3: and allocating third computing resources, wherein the third computing resources are used for calling a planned task book, a total approximate book and a single project final approximate book of the construction project, construction records, construction certificates and expense records generated in sub-package projects, and calculating completion settlement. And allocating third operation resources in the operating system, wherein if the third operation resources are allocated by the local computing platform, no more than one third of operation force is allocated as the first budget resources for computing, and if the third operation resources are allocated by the distributed computing platform, no more than one third of distributed operation force is allocated as the first budget resources for computing. After completion resolution is calculated in step S3, the method further includes the steps of: s31: and the third operation resource calls a project chart and a project list, compares the approval progress of the project, the dynamic investment of a single project, the dynamic investment of the whole project and the contract amount data respectively, and calculates an auxiliary comparison result which is used for primarily judging the accuracy of completion settlement. And, S32: and if the dynamic difference between the auxiliary comparison result and the completion settlement is larger than the set difference range, recalculating the completion settlement. The method can calculate in real time along with the progress of projects, for example, during foundation pit excavation, the contents of the project of the foundation pit excavation are calculated to output an auxiliary comparison result, and the contents of the project of the foundation pit excavation are subjected to stage settlement by using the existing drawing and physical materials, wherein the physical materials comprise subcontracting contracts, cost change and the like. The auxiliary comparison result and the stage settlement are calculated in real time, the auxiliary comparison result can be used as the reference data of completion settlement when the project is completed, and the large error of the completion settlement is avoided.
S4: and dynamically allocating the computing power of the first computing resource, the second computing resource and the third computing resource, wherein the initial state is from big to small, acquiring the computing process of the first computing resource, the computing process of the second computing resource and the computing process of the third computing resource, and computing the content quantity of the local resources called by the computing processes. After the first computing resource, the second computing resource and the third computing resource are computed, the operating system monitors the computing power of the first computing resource, the second computing resource and the third computing resource in real time, and changes the computing power by changing the process number of the budget resource and the frequency of a core when the code runs.
S5: and reallocating the computing power, wherein the more the local resource content called by the computing process in the first computing resource, the second computing resource and the third computing resource, the stronger the computing power is. For example, when the first computing resource is used for computing, all the local resources acquired by the first computing resource are called, and at this time, the second computing resource and the third computing resource are in a state of acquiring the content of the local resources, so that the number of processes of the first computing resource is increased or the core frequency of the first computing resource during operation is increased to improve the computing power.
S6: and the second computing resource acquires actual investment data in the project execution process, compares the guide rule estimation, the worker-available batch compounding, the initial batch compounding, the contract-price combination and the estimated settlement in real time, and calculates a deviation value after comparison.
S7: and acquiring a preset deviation reference value, and if the deviation value is greater than the deviation reference value, acquiring the computing power released by the first computing resource or the third computing resource by the second computing resource until the deviation value is less than the deviation reference value.
S8: the second computational resource releases computational power from the first computational resource or the third computational resource.
And the number of the first and second groups,
s9: the larger the dynamic difference is, the more computation power is allocated to the third computation resource.
The implementation principle is as follows: the computing power is uniformly distributed to a plurality of software for performing multi-computing, and the situation that a certain software always preempts computing power resources is avoided. Software which is used for processing the large amount of the local resource content and called by the operation process obtains more calculation power, and other software which needs or processes the amount of the distributed resource content can use the distributed calculation power, so that the calculation speed is improved, and the calculation power is reasonably utilized.
For example, when the deviation value calculated by the second computing resource is greater than the deviation reference value, it represents that an error occurs in the data, or the speed acquisition of the data fails to catch up with the calculation speed, resulting in incomplete data based on the calculation, so that the second computing resource preferentially acquires the computing power of the resource released by the first computing resource or the third computing resource, and the computing power of data acquisition or the computing power for acquiring the data is improved. In other cases, the auxiliary comparison result calculated by the third computing resource is dynamic and tends to increase gradually as the project progresses or the project data is input, and if the dynamic difference between the auxiliary comparison result and the completion decision is greater than the set difference range, it represents that the data may be wrong, so the completion decision needs to be recalculated. And coordinately distributing calculation power for the third calculation resource according to the dynamic difference value, so that the accuracy of completion decision calculation is favorably ensured.
The embodiment of the application further discloses a cloud computing-based engineering cost multi-calculation management system, as shown in fig. 3, comprising the following modules:
the first operation module is used for distributing first operation resources, and the first operation resources are used for calling the preliminary design drawing, the approximate calculation quota and the cost quota index to calculate the design approximate calculation of the whole cost of the project.
And the second operation module is used for allocating second operation resources, and the second operation resources are used for calling a construction drawing, a specification, a construction organization design, a construction quota, a material consumption quota and a machine shift use quota, a building material manual and a budget manual in the construction process and calculating the construction drawing budget.
And the third operation module is used for distributing third operation resources, and the third operation resources are used for calling a plan task book, a total approximate book, a single project final approximate book, construction records, construction certificates and expense records generated in sub-package projects of the construction project and calculating completion settlement. The third operation module further comprises: and the calculation accuracy unit is used for enabling the third operation resource to call the project chart and the project list, respectively comparing the approval progress of the project, the dynamic investment of the single project, the dynamic investment of the whole project and the contract amount data, and calculating an auxiliary comparison result which is used for primarily judging the accuracy of completion settlement. And the comparison accuracy unit is used for judging whether the dynamic difference value between the auxiliary comparison result and the completion settlement is larger than a set difference value range or not, and recalculating the completion settlement.
And the initial allocation module is used for dynamically allocating the computing power of the first computing resource, the second computing resource and the third computing resource, acquiring the computing process of the first computing resource, the computing process of the second computing resource and the computing process of the third computing resource from large to small in an initial state, and calculating the content quantity of the local resources called by the computing processes.
And the dynamic allocation module is used for reallocating the calculation power, and in the first calculation resource, the second calculation resource and the third calculation resource, the more the content quantity of the local resources called by the calculation process is, the stronger the calculation power is.
And the deviation calculating module is used for enabling the second computing resource to acquire actual investment data in the project execution process, comparing the guide rule estimation, the work-to-work batch reply, the initial batch reply, the contract price and the estimated settlement in real time, and calculating a deviation value after comparison.
And the deviation comparison module is used for acquiring a preset deviation reference value, and if the deviation value is greater than the deviation reference value, the second operation resource acquires the calculation force released by the first operation resource or the third operation resource until the deviation value is less than the deviation reference value.
And the calculation force releasing module is used for releasing the calculation force from the first calculation resource or the third calculation resource by the second calculation resource.
And the number of the first and second groups,
and the resource allocation unit is used for allocating more calculation power to the third calculation resource when the dynamic difference value is larger.
The implementation principle is as follows: the first operation module, the second operation module, the third operation module and the initial distribution module uniformly distribute computing power to software which carries out multi-computing, so that the software which computes each data is managed, the situation that computing power resources are occupied by certain software is avoided, meanwhile, the dynamic distribution module carries out dynamic distribution on the computing power resources, software which processes a large number of local resource contents called by an operation process obtains more computing power, and other software which needs or processes the number of the distributed resource contents can use the distributed computing power, the computing speed is improved, and the computing power is reasonably utilized. The calculation deviation module calculates a deviation value, the comparison deviation module judges whether the deviation value is greater than a deviation reference value, if so, the deviation value represents that an error occurs in the data, or the speed acquisition of the data cannot catch up with the calculation speed, so that the data based on calculation is incomplete, the calculation force releasing module enables the second calculation resource to preferentially obtain the calculation force of the resource released by the first calculation resource or the third calculation resource, and the calculation force for acquiring the data or the calculation force for acquiring the data is improved. The auxiliary comparison result calculated by the calculation accuracy unit is dynamic and gradually increases with the progress of the project or the input of project data, and if the dynamic difference between the auxiliary comparison result and the completion decision is greater than a set difference range, the data may be erroneous, so the completion decision needs to be recalculated by the comparison accuracy unit. And the resource allocation unit coordinately allocates calculation power for the third calculation resource according to the dynamic difference value, thereby being beneficial to ensuring the accuracy of completion settlement.
The embodiment of the application also discloses a computer readable storage medium, which stores a computer program capable of being loaded by a processor and executing the above-mentioned project cost multi-calculation management method based on cloud computing.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.

Claims (9)

1. A project cost multi-calculation management method based on cloud computing is characterized in that: the method comprises the following steps:
s1: allocating a first computing resource, wherein the first computing resource calls a preliminary design drawing, an approximate calculation quota and a cost quota index to calculate the design approximate calculation of the whole cost of the project;
s2: allocating second operation resources, wherein the second operation resources are used for calling a construction drawing, a specification, a construction organization design, a construction quota, a material consumption quota, a machine shift use quota, a building material manual and a budget manual in the construction process, and calculating the budget of the construction drawing;
s3: allocating third operation resources, wherein the third operation resources call a planned task book, a total approximate book and a single project final approximate book of a construction project, construction records, construction visas and expense records generated in sub-package projects, and calculating completion settlement;
s4: dynamically allocating the computing power of a first computing resource, a second computing resource and a third computing resource, wherein the initial state is from big to small, acquiring the computing process of the first computing resource, the computing process of the second computing resource and the computing process of the third computing resource, and computing the content quantity of local resources called by the computing processes; and the number of the first and second groups,
s5: and reallocating the computing power, wherein the more the local resource content called by the computing process in the first computing resource, the second computing resource and the third computing resource, the stronger the computing power is.
2. The method of claim 1, wherein: also comprises the following steps:
s6: acquiring actual investment data in the project execution process by the second computing resource, comparing the guide rule estimation, the worker-available batch compounding, the initial batch compounding, the contract-price combination and the estimated settlement in real time, and calculating a deviation value after comparison;
s7: acquiring a preset deviation reference value, and if the deviation value is greater than the deviation reference value, acquiring the computing power released by the first computing resource or the third computing resource by the second computing resource until the deviation value is less than the deviation reference value; and the number of the first and second groups,
s8: the second computational resource releases computational power from the first computational resource or the third computational resource.
3. The method of claim 1, wherein: after completion settlement is calculated in step S3, the method further includes the steps of:
s31: a third operation resource calls a project chart and a project list, compares the approval progress of the project, the dynamic investment of a single project, the dynamic investment of the whole project and the contract amount data respectively, and calculates an auxiliary comparison result which is used for primarily judging the accuracy of completion settlement; and the number of the first and second groups,
s32: and if the auxiliary comparison result and the dynamic difference value of the completion settlement are larger than the set difference value range, recalculating the completion settlement.
4. The method of claim 3, wherein: the method further comprises the following steps:
s9: the larger the dynamic difference is, the more computation power is allocated to the third computation resource.
5. A project cost multi-calculation management system based on cloud computing is characterized in that: the system comprises the following modules:
the first operation module is used for allocating first operation resources, and the first operation resources are used for calling a preliminary design drawing, an approximate calculation quota and a cost quota index to calculate the design approximate calculation of the whole cost of the project;
the second operation module is used for allocating second operation resources, and the second operation resources are used for calling a construction drawing, a specification, a construction organization design, a construction quota, a material consumption quota and a machine shift use quota in the construction process, a building material manual and a budget manual and calculating the budget of the construction drawing;
the third operation module is used for distributing third operation resources, and the third operation resources are used for calling a plan task book, a total approximate book, a single project final approximate book, construction records, construction certificates and expense records generated in sub-package projects of the construction project and calculating completion settlement;
the initial allocation module is used for dynamically allocating computing power of the first computing resource, the second computing resource and the third computing resource, acquiring a computing process of the first computing resource, a computing process of the second computing resource and a computing process of the third computing resource from large to small in an initial state, and computing the content quantity of local resources called by the computing processes; and the number of the first and second groups,
and the dynamic allocation module is used for reallocating the calculation power, and in the first calculation resource, the second calculation resource and the third calculation resource, the more the content quantity of the local resources called by the calculation process is, the stronger the calculation power is.
6. The system of claim 5, wherein: the system also comprises the following modules:
the deviation calculating module is used for enabling the second computing resource to acquire actual investment data in the project execution process, comparing the guide rule estimation, the work-to-work batch reply, the initial batch reply, the contract price and the estimated settlement in real time, and calculating a deviation value after comparison;
the comparison deviation module is used for acquiring a preset deviation reference value, and if the deviation value is greater than the deviation reference value, the second computing resource acquires the computing power released by the first computing resource or the third computing resource until the deviation value is smaller than the deviation reference value; and the number of the first and second groups,
and the calculation force releasing module is used for releasing the calculation force from the first calculation resource or the third calculation resource by the second calculation resource.
7. The system of claim 5, wherein: the third operation module further comprises:
the calculation accuracy unit is used for enabling a third operation resource to call a project chart and a project list, respectively comparing the approval progress of the project, the dynamic investment of a single project, the dynamic investment of the whole project and the contract amount data, and calculating an auxiliary comparison result which is used for primarily judging the accuracy of completion settlement; and the number of the first and second groups,
and the comparison accuracy unit is used for judging whether the auxiliary comparison result and the completion settlement dynamic difference are larger than a set difference range or not, and then the completion settlement is calculated again.
8. The system of claim 7, wherein: the system also comprises the following modules:
and the resource allocation unit is used for allocating more calculation power to the third calculation resource when the dynamic difference value is larger.
9. A computer-readable storage medium characterized by: a computer program which can be loaded by a processor and which executes the method according to any of claims 1 to 4.
CN202010700244.6A 2020-07-20 2020-07-20 Project cost multi-calculation management method and system based on cloud computing and storage medium thereof Active CN111815291B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010700244.6A CN111815291B (en) 2020-07-20 2020-07-20 Project cost multi-calculation management method and system based on cloud computing and storage medium thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010700244.6A CN111815291B (en) 2020-07-20 2020-07-20 Project cost multi-calculation management method and system based on cloud computing and storage medium thereof

Publications (2)

Publication Number Publication Date
CN111815291A true CN111815291A (en) 2020-10-23
CN111815291B CN111815291B (en) 2024-05-31

Family

ID=72865047

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010700244.6A Active CN111815291B (en) 2020-07-20 2020-07-20 Project cost multi-calculation management method and system based on cloud computing and storage medium thereof

Country Status (1)

Country Link
CN (1) CN111815291B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114841788A (en) * 2022-05-23 2022-08-02 北京新机场建设指挥部 Engineering project construction management completion settlement overall process management system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106447197A (en) * 2016-09-28 2017-02-22 国网山东省电力公司经济技术研究院 Construction cost data management system
CN108388625A (en) * 2018-02-12 2018-08-10 安徽千云度信息技术有限公司 A kind of software in project cost management platform based on big data
CN108664342A (en) * 2018-04-28 2018-10-16 广州市百果园信息技术有限公司 Extend method, system and storage medium based on WEB specification small routine operational capabilities
CN109872043A (en) * 2019-01-17 2019-06-11 上海申元工程投资咨询有限公司 A kind of cost process risk management-control method and its system
CN111210162A (en) * 2020-01-14 2020-05-29 中资锐诚工程项目管理有限公司 BIM-based whole process engineering pricing management method and BIM-based whole process engineering management system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106447197A (en) * 2016-09-28 2017-02-22 国网山东省电力公司经济技术研究院 Construction cost data management system
CN108388625A (en) * 2018-02-12 2018-08-10 安徽千云度信息技术有限公司 A kind of software in project cost management platform based on big data
CN108664342A (en) * 2018-04-28 2018-10-16 广州市百果园信息技术有限公司 Extend method, system and storage medium based on WEB specification small routine operational capabilities
CN109872043A (en) * 2019-01-17 2019-06-11 上海申元工程投资咨询有限公司 A kind of cost process risk management-control method and its system
CN111210162A (en) * 2020-01-14 2020-05-29 中资锐诚工程项目管理有限公司 BIM-based whole process engineering pricing management method and BIM-based whole process engineering management system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
佟怡伶;黄娜;: "浅谈工程竣工结算审计", 建筑与预算, no. 10, 30 October 2015 (2015-10-30) *
陈德龙;: "探究三算在园林工程中的作用", 黑龙江科技信息, no. 30, 25 October 2014 (2014-10-25) *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114841788A (en) * 2022-05-23 2022-08-02 北京新机场建设指挥部 Engineering project construction management completion settlement overall process management system
CN114841788B (en) * 2022-05-23 2022-11-22 北京新机场建设指挥部 Completion settlement overall process management system for engineering project construction management

Also Published As

Publication number Publication date
CN111815291B (en) 2024-05-31

Similar Documents

Publication Publication Date Title
CN109871328B (en) Software testing method and device
CN108536592B (en) Test task assignment method and device and server
CN103870334A (en) Method and device for assigning large-scale vulnerability scanning task
CN103425536A (en) Test resource management method oriented towards distributed system performance tests
CN114625507B (en) Task scheduling method, system, equipment and storage medium based on directed acyclic graph
CN110866687A (en) Task allocation method and device
CN113157379A (en) Cluster node resource scheduling method and device
CN117349032B (en) Method and device for improving throughput of large language model
CN111860867B (en) Model training method and system for hybrid heterogeneous system and related device
CN111815291A (en) Cloud computing-based engineering cost multi-calculation management method and system and storage medium thereof
CN110659108B (en) Cloud system virtual machine task migration method and device and server
CN116701001A (en) Target task allocation method and device, electronic equipment and storage medium
CN115796523B (en) Resource allocation method and device
CN115718986B (en) Multi-core parallel time domain simulation method based on distributed memory architecture
CN105718297A (en) Virtual machine establishing system and method
CN115712501A (en) Cloud simulation method and system suitable for engineering machinery
Gratia et al. Adaptation of run to mixed-criticality systems
CN114138454A (en) Fair distribution method and system for computing power of edge computing platform
CN113822549A (en) Order processing method and device
CN113722100A (en) Dynamic super-allocation method and device for cloud platform memory resources based on trend prediction
CN110535849A (en) Account information management method and device
CN116596231B (en) Molten iron scheduling plan correction method, molten iron scheduling plan correction device, molten iron scheduling plan correction equipment and storage medium
CN110390474B (en) Method and system for estimating computing resource demand by analyzing safety and stability of power system
CN115953008B (en) Task execution time distribution method and device, electronic equipment and storage medium
CN114221962B (en) Cloud resource reallocation method and system based on peak utilization rate

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
GR01 Patent grant
GR01 Patent grant