CN117689430A - Price-based compiling method, system, storage medium and computer - Google Patents
Price-based compiling method, system, storage medium and computer Download PDFInfo
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- CN117689430A CN117689430A CN202311529821.XA CN202311529821A CN117689430A CN 117689430 A CN117689430 A CN 117689430A CN 202311529821 A CN202311529821 A CN 202311529821A CN 117689430 A CN117689430 A CN 117689430A
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Abstract
The invention relates to a method, a system, a storage medium and a computer for compiling a pricing base, wherein the method comprises the steps of constructing a pricing base data block according to the pricing base to obtain an initial data block; constructing an open database; storing the initial data block into an open database; calling an initial data block in the open database to perform quota level measurement to obtain a measurement result; judging whether to update the open database according to the measurement result; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing an initial data block in the open database by the reconstructed data block; if not, ending the programming; according to the invention, the rating data of the rating basis is stored in the open database, and the rating data in the database is updated in real time, so that the rating basis can be dynamically adjusted, the actual work is supported by the rating basis, the accuracy and timeliness are improved, the settlement problem in the actual engineering is solved, and the cost working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of price computing base programming, in particular to a price computing base programming method, a price computing base programming system, a storage medium and a computer.
Background
The pricing basis such as the programming quota is mainly made by manual work by means of electronic forms, and because of the large amount of data and the large amount of links between forms and between data, manual processing is easy to make mistakes, and especially the adjustment stage is easier to make more messy. So that the accuracy and authority of the price according to the finally presented result are not accepted. Therefore, the existing pricing base compiling technology has the following defects: the price-computing basis has large working amount, more data, inconvenient adjustment and comparison and easy error; and the price-computing basis has long programming time, low efficiency and the like.
Disclosure of Invention
In order to solve the problems of large price-computing basis programming workload, more data, inconvenient adjustment and comparison and easy error in the prior art; the invention provides a price-based programming method, a price-based programming system, a storage medium and a computer, which solve the technical problems of long price-based programming time, low efficiency and the like.
The technical scheme for solving the technical problems is as follows:
a method for compiling a pricing basis, comprising the steps of:
constructing a pricing basis data block according to the pricing basis to obtain an initial data block;
constructing an open database;
storing the initial data block into the open database;
invoking the initial data block in the open database to perform quota level measurement to obtain a measurement result;
judging whether to update the open database according to the measurement result; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by using the reconstructed data block; if not, ending the programming.
The beneficial effects of the invention are as follows: the rating data of the rating basis is stored in the open database, and the rating data in the database is updated in real time, so that the rating basis can be dynamically adjusted, the actual work is supported by the rating basis, the accuracy and timeliness are improved, the settlement problem in the actual engineering is solved, and the cost working efficiency is improved.
On the basis of the technical scheme, the invention can be improved as follows.
Further, according to the pricing base, a pricing base data block is constructed to obtain an initial data block, comprising the following steps:
acquiring quota data, price data and cost data of engineering cost;
unifying data formats of the quota data, the price data and the expense data;
formulating a data block by using the quota data in a unified format to obtain an initial quota data block;
formulating a data block by using the price data in a unified format to obtain an initial price data block;
formulating a data block by using the expense data in the unified format to obtain an initial expense data block; wherein the initial data block includes the initial quota data block, the initial price data block, and the initial cost data block.
Further, the initial data block in the open database is called to carry out quota level measurement, and a measurement result is obtained, wherein the method comprises the following specific steps of:
and calling the initial quota data block, the initial price data block and the initial cost data block to perform quota level calculation based on a statistical analysis method, a probability measurement algorithm or an empirical estimation method, and obtaining the measurement result.
Further, according to the measurement result, judging whether to update the open database; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by using the reconstructed data block; if not, ending the programming, including the following steps:
comparing the measurement result with a preset quota range value;
ending the programming of the pricing basis when the measurement result is within the preset quota range value;
and when the measurement result is outside the preset rating range value, circularly reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by the reconstructed data block until the measurement result obtained by performing rating level measurement by using the reconstructed data block is within the preset rating range value.
In order to solve the technical problems, the invention also provides a pricing basis compiling system, which has the following specific technical scheme:
a pricing basis compiling system comprises a data construction module, a data input module, a database construction module, a data processing module and a quota measuring module;
the data construction module is used for constructing a pricing basis data block according to the pricing basis to obtain an initial data block;
the database construction module is used for constructing an open database;
the data input module is used for storing the initial data block into the open database;
the data processing module is used for calling the initial data block in the open database to perform quota level measurement to obtain a measurement result;
the quota measuring module is used for judging whether to update the open database according to the measuring result; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by using the reconstructed data block; if not, ending the programming.
Further, the data construction module is specifically configured to obtain quota data, price data and cost data of the engineering cost;
the data construction module is also specifically configured to unify data formats of the quota data, the price data and the fee data; formulating a data block by using the quota data in a unified format to obtain an initial quota data block; formulating a data block by using the price data in a unified format to obtain an initial price data block; formulating a data block by using the expense data in the unified format to obtain an initial expense data block; wherein the initial data block includes the initial quota data block, the initial price data block, and the initial cost data block.
Further, the data processing module is specifically configured to invoke the initial quota data block, the initial price data block, and the initial cost data block to perform quota level calculation based on a statistical analysis method, a probability measurement method, or an empirical estimation method, so as to obtain the measurement result.
Further, the quota determination module is specifically configured to compare the determination result with a preset quota range value; when the measurement result is within the preset quota range value, ending the programming of the pricing basis; and when the measurement result is outside the preset rating range value, circularly reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by the reconstructed data block until the measurement result obtained by performing rating level measurement by using the reconstructed data block is within the preset rating range value.
In order to solve the technical problems, the invention also provides a storage medium, which has the following specific technical scheme:
a storage medium storing a computer program or computer instructions which, when executed by a processor of a computer, implement the steps of the method of rating scale programming according to any one of claims 1 to 4.
In order to solve the technical problems, the invention also provides a computer, which has the following specific technical scheme:
a computer comprising a memory and one or more processors, the memory having executable code stored therein, the one or more processors, when executing the executable code, effecting the steps of the pricing method according to any of claims 1 to 4.
Drawings
FIG. 1 is a block diagram of a method for compiling a price according to an embodiment of the present invention;
FIG. 2 is a block diagram showing a price calculating system according to an embodiment of the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
Example 1
As shown in fig. 1, the present embodiment provides a method for compiling a price according to the present invention, which is characterized by comprising the following steps:
s1, constructing a pricing base data block according to a pricing base to obtain an initial data block;
s101, constructing a pricing basis data block according to the pricing basis to obtain an initial data block, wherein the method comprises the following steps of:
s102, acquiring quota data, price data and cost data of engineering cost;
s103, unifying the data formats of the quota data, the price data and the expense data;
s104, formulating a data block by using the quota data in the unified format to obtain an initial quota data block;
s105, formulating a data block by using the price data in the unified format to obtain an initial price data block;
s106, formulating a data block by using the cost data in the unified format to obtain an initial cost data block; wherein the initial data block includes the initial quota data block, the initial price data block, and the initial cost data block.
S2, constructing an open database; the open database adopts a distributed open database and a centralized open database; the construction of the distributed open database is that the initial data block directly generates service through a service generator, centralized management is carried out through a service bus, data of a data open interface is directly provided, unified cataloging is carried out through a service catalog, and data service opening is realized; the construction of the centralized open database is to transmit the initial data block to the data sharing library, wherein the data opening library is used for generating service by a service generator and then carrying out centralized management through a service bus; the invention can bring the initial data block into a unified open database for management, and safely open and share.
S3, storing the initial data block into the open database.
S4, calling the initial data block in the open database to perform quota level measurement to obtain a measurement result;
and calling the initial data block in the open database to perform quota level measurement to obtain a measurement result, wherein the method comprises the following specific steps of:
and calling the initial quota data block, the initial price data block and the initial cost data block to perform quota level calculation based on a statistical analysis method, a probability measurement algorithm or an empirical estimation method, and obtaining the measurement result.
S5, judging whether to update the open database according to the measurement result; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by using the reconstructed data block; if not, ending the programming.
S501, judging whether to update the open database according to the measurement result; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by using the reconstructed data block; if not, ending the programming, including the following steps:
s502, comparing the measurement result with a preset quota range value;
s503, finishing the compiling of the pricing basis when the measurement result is within the preset quota range value;
s504, when the measurement result is outside the preset quota range value, circularly reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by the reconstructed data block until the measurement result obtained by performing quota level measurement by using the reconstructed data block is within the preset quota range value. That is, when the measurement result is located outside the preset rating range value, updating the rating base, and after updating the rating base, re-executing steps S1 to S5 until the measurement result is located within the preset rating range value.
According to the embodiment of the invention, the rating data of the rating basis is stored in the open database, and the rating data in the database is updated in real time, so that the rating basis can be dynamically adjusted, the actual work is supported by the rating basis, the accuracy and timeliness are improved, the settlement problem in the actual engineering is solved, and the manufacturing cost and the working efficiency are improved.
In some embodiments, a pricing basis compiling system is further provided, which comprises a data construction module, a data input module, a database construction module, a data processing module and a quota determination module;
the data construction module is used for constructing a pricing basis data block according to the pricing basis to obtain an initial data block;
the database construction module is used for constructing an open database;
the data input module is used for storing the initial data block into the open database;
the data processing module is used for calling the initial data block in the open database to perform quota level measurement to obtain a measurement result;
the quota measuring module is used for judging whether to update the open database according to the measuring result; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by using the reconstructed data block; if not, ending the programming.
The data construction module is specifically used for acquiring quota data, price data and cost data of engineering cost;
the data construction module is also specifically configured to unify data formats of the quota data, the price data and the fee data; formulating a data block by using the quota data in a unified format to obtain an initial quota data block; formulating a data block by using the price data in a unified format to obtain an initial price data block; formulating a data block by using the expense data in the unified format to obtain an initial expense data block; wherein the initial data block includes the initial quota data block, the initial price data block, and the initial cost data block.
Specifically, the data processing module is specifically configured to invoke the initial quota data block, the initial price data block, and the initial cost data block to perform quota level calculation based on a statistical analysis method, a probability measurement method, or an empirical estimation method, so as to obtain the measurement result.
Specifically, the quota measurement module is specifically configured to compare the measurement result with a preset quota range value; when the measurement result is within the preset quota range value, ending the programming of the pricing basis; and when the measurement result is outside the preset rating range value, circularly reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by the reconstructed data block until the measurement result obtained by performing rating level measurement by using the reconstructed data block is within the preset rating range value.
Example 2
Based on embodiment 1, this embodiment provides a storage medium storing a computer program or computer instructions which, when executed by a processor of a computer, implement the steps of the pricing base compiling method described above.
The storage medium may be an internal storage unit, such as a hard disk or a memory, of any of the data processing enabled devices described in any of the previous embodiments. The storage medium may be any external storage device that has a data processing capability, for example, a plug-in hard disk, a smart memory card, an SD card, a flash memory card, or the like, which is provided on the device. Further, the storage medium may include both internal storage units and external storage devices of any data processing device. The computer readable storage medium is used for storing the computer program and other programs and data required by the arbitrary data processing apparatus, and may also be used for temporarily storing data that has been output or is to be output.
Example 3
Based on embodiment 1, this embodiment provides a computer including a memory and one or more processors, where the memory stores executable codes, and when the one or more processors execute the executable codes, the steps of the pricing method in embodiment 1 are implemented.
The memory may be an internal storage unit of any of the data processing enabled devices described in any of the preceding embodiments, such as a hard disk or a memory. The memory may also be an external storage device of any device having data processing capabilities, such as a plug-in hard disk, a smart memory card, an SD card, a flash memory card, etc. provided on the device. Further, the memory may also include both internal storage units and external storage devices of any data processing capable device. The memory is used for storing the computer program as well as other programs and data required by the arbitrary data processing device, and may also be used for temporarily storing data that has been output or is to be output.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. A method for compiling a pricing basis, comprising the steps of:
constructing a pricing basis data block according to the pricing basis to obtain an initial data block;
constructing an open database;
storing the initial data block into the open database;
invoking the initial data block in the open database to perform quota level measurement to obtain a measurement result;
judging whether to update the open database according to the measurement result; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by using the reconstructed data block; if not, ending the programming.
2. The method for compiling a tariff according to claim 1, wherein constructing the tariff data block from the tariff to obtain the initial data block comprises the steps of:
acquiring quota data, price data and cost data of engineering cost;
unifying data formats of the quota data, the price data and the expense data;
formulating a data block by using the quota data in a unified format to obtain an initial quota data block;
formulating a data block by using the price data in a unified format to obtain an initial price data block;
formulating a data block by using the expense data in the unified format to obtain an initial expense data block; wherein the initial data block includes the initial quota data block, the initial price data block, and the initial cost data block.
3. The method according to claim 2, wherein the initial data block in the open database is called to perform rating level measurement, and the measurement result is obtained by the following steps:
and calling the initial quota data block, the initial price data block and the initial cost data block to perform quota level calculation based on a statistical analysis method, a probability measurement algorithm or an empirical estimation method, and obtaining the measurement result.
4. A price according to any of claims 1 to 3, wherein it is determined whether to update the open database based on the measurement result; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by using the reconstructed data block; if not, ending the programming, including the following steps:
comparing the measurement result with a preset quota range value;
ending the programming of the pricing basis when the measurement result is within the preset quota range value;
and when the measurement result is outside the preset rating range value, circularly reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by the reconstructed data block until the measurement result obtained by performing rating level measurement by using the reconstructed data block is within the preset rating range value.
5. The pricing basis compiling system is characterized by comprising a data construction module, a data input module, a database construction module, a data processing module and a quota measuring module;
the data construction module is used for constructing a pricing basis data block according to the pricing basis to obtain an initial data block;
the database construction module is used for constructing an open database;
the data input module is used for storing the initial data block into the open database;
the data processing module is used for calling the initial data block in the open database to perform quota level measurement to obtain a measurement result;
the quota measuring module is used for judging whether to update the open database according to the measuring result; if yes, reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by using the reconstructed data block; if not, ending the programming.
6. The method for compiling a pricing structure according to claim 5,
the data construction module is specifically used for acquiring quota data, price data and cost data of engineering cost;
the data construction module is also specifically configured to unify data formats of the quota data, the price data and the fee data; formulating a data block by using the quota data in a unified format to obtain an initial quota data block; formulating a data block by using the price data in a unified format to obtain an initial price data block; formulating a data block by using the expense data in the unified format to obtain an initial expense data block; wherein the initial data block includes the initial quota data block, the initial price data block, and the initial cost data block.
7. The method for compiling a pricing structure according to claim 6,
the data processing module is specifically used for calling the initial quota data block, the initial price data block and the initial cost data block to perform quota level calculation based on a statistical analysis method or a probability measurement algorithm or an empirical estimation method, and obtaining the measurement result.
8. The method according to any one of claims 5 to 7, wherein,
the quota measuring module is specifically used for comparing the measuring result with a preset quota range value; when the measurement result is within the preset quota range value, ending the programming of the pricing basis; and when the measurement result is outside the preset rating range value, circularly reconstructing the pricing basis data block to obtain a reconstructed data block, and replacing the initial data block in the open database by the reconstructed data block until the measurement result obtained by performing rating level measurement by using the reconstructed data block is within the preset rating range value.
9. A storage medium storing a computer program or computer instructions which, when executed by a processor of a computer, implement the steps of the method of pricing according to any of claims 1 to 4.
10. A computer comprising a memory and one or more processors, the memory having executable code stored therein, the one or more processors, when executing the executable code, effecting the steps of the method according to any one of claims 1 to 4.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311529821.XA CN117689430A (en) | 2023-11-16 | 2023-11-16 | Price-based compiling method, system, storage medium and computer |
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| CN202311529821.XA CN117689430A (en) | 2023-11-16 | 2023-11-16 | Price-based compiling method, system, storage medium and computer |
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| CN202311529821.XA Pending CN117689430A (en) | 2023-11-16 | 2023-11-16 | Price-based compiling method, system, storage medium and computer |
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