CN112488557A - Automatic calculation method, device and terminal based on grading standard objective scores - Google Patents
Automatic calculation method, device and terminal based on grading standard objective scores Download PDFInfo
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- CN112488557A CN112488557A CN202011446893.4A CN202011446893A CN112488557A CN 112488557 A CN112488557 A CN 112488557A CN 202011446893 A CN202011446893 A CN 202011446893A CN 112488557 A CN112488557 A CN 112488557A
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- 238000004364 calculation method Methods 0.000 title claims abstract description 41
- 238000011156 evaluation Methods 0.000 claims abstract description 18
- 238000007781 pre-processing Methods 0.000 claims abstract description 13
- 238000004590 computer program Methods 0.000 claims description 21
- 238000000034 method Methods 0.000 claims description 9
- 238000012797 qualification Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000012216 screening Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 5
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0609—Buyer or seller confidence or verification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
Abstract
The invention relates to the technical field of computer equipment, and particularly discloses an automatic calculation method based on scoring standard objective scores, which comprises the following steps of: importing a bid evaluation data packet, wherein the bid evaluation data packet comprises a scoring standard, bidder information and a bid document; carrying out data preprocessing on the bidding document; acquiring a keyword, calculating the score of the bidding document of the bidder information according to the scoring standard, and updating the score into the index of the corresponding bidding system; standardizing the bidding documents and the scores, and then carrying out weighted calculation to obtain retrieval relevancy scores of the bidder information; and carrying out weighted calculation on the bidder information retrieval relevance score and the bidder information bidding document score to obtain an objective score. The invention realizes intelligent identification, automatically distinguishes each type, does not need manual screening, realizes accurate calculation, shortens the scoring time of the bidding document and improves the scoring efficiency.
Description
Technical Field
The invention relates to the technical field of computer equipment, in particular to an automatic calculation method, device and terminal based on scoring standard objective scores.
Background
The objective score intelligent calculation mainly extracts objective index items such as affairs, qualification, achievement and the like in unstructured bid documents of suppliers, automatically extracts objective score calculation formulas in evaluation indexes through NLP semantic analysis, combines the automatically extracted supplier bid key elements, and automatically calculates the score process.
Disclosure of Invention
In view of the above problems, the present invention provides an automatic calculation method, apparatus, and terminal based on objective scores of scoring criteria.
In order to solve the above problems, a first aspect of the present invention provides an automatic calculation method for objective scores based on scoring criteria, comprising the steps of:
s1, importing a bid evaluation data packet, wherein the bid evaluation data packet comprises a scoring standard, bidder information and a bid document;
s2, preprocessing the bidding document;
s3: acquiring a keyword, calculating the score of the bidding document of the bidder information according to the scoring standard, and updating the score into the index of the corresponding bidding system;
s4: standardizing the bidding documents and the scores, and then carrying out weighted calculation to obtain retrieval relevancy scores of the bidder information;
s5: and carrying out weighted calculation on the bidder information retrieval relevance score and the bidder information bidding document score to obtain an objective score.
Preferably, the step S1 specifically includes the steps of:
(1-1): establishing a unique code for each bidder information according to the bid evaluation data packet;
(1-2): classifying bidding documents of all bidder information;
(1-3): newly establishing character characteristics in a scoring standard of the bidder information, and storing a unique code of each piece of information corresponding to the bidder information;
(1-4): and respectively storing the scoring standards of the bidding document and the bidder information in different indexes.
Preferably, in step S2, the bidding document includes a business license, financial data, performance data, product price, product quality and inventory amount bidding time.
Preferably, in step S2, the preprocessing is to extract the bidding document automatically, and implement intelligent recognition of various qualification photos in the document mainly through OCR technology, obtain keywords, and automatically distinguish each type.
Preferably, the step S3 specifically includes the steps of:
(2-1): acquiring keywords, and respectively acquiring business license information, financial data, performance data, product price, product quality and inventory quantity bidding time in a bidding document as indexes for scoring the bidding document according to scoring standards;
(2-2): taking the maximum value of each index in the bidding document as a preset target, and standardizing the index of the bidding document;
(2-3): searching the bidding document information and the scoring standard according to the keywords, calculating to obtain the scoring of each index of the bidding document, and calculating according to the bidding document to obtain the score of each index;
(2-4): and carrying out weighted calculation on the keywords in the bidding documents of the bidder information to obtain the scores of the bidding documents of the bidder information, and updating the scores into the indexes of the corresponding bidding systems.
Preferably, step S4 is specifically: establishing a keyword set according to the keywords and storing grading information of bidders; and traversing the keyword set, standardizing the bidding document and the score, and then carrying out weighted calculation to obtain the retrieval relevance score of the bidder information.
The second aspect of the present invention provides an automatic calculation device for objective scores based on scoring criteria, comprising:
the input data packet module is used for inputting a bid evaluation data packet, and the bid evaluation data packet comprises a scoring standard, bidder information and a bid document;
the data preprocessing module is used for preprocessing the data of the bidding document;
the index updating module: the index updating module is used for calculating the scores of the bidding documents of the bidder information according to the scoring standards and updating the scores into the indexes of the corresponding bidding systems;
a relevancy scoring module: the relevancy scoring module is used for standardizing the bidding documents and the scores and then carrying out weighted calculation to obtain retrieval relevancy scores of the bidder information;
objective module division: and the objective scoring module performs weighted calculation on the bidder information retrieval relevance score and the bidder information bidding document score to obtain an objective scoring.
A third aspect of the present invention provides a terminal, comprising a processor and a memory, wherein the memory stores a computer program, and the processor is configured to execute the computer program to implement the automatic calculation method based on objective scores of scoring criteria when executing the computer program.
A first aspect of the present invention provides a storage medium storing a computer program executable to implement the automatic calculation method for objective scores based on scoring criteria.
Compared with the prior art, the invention has the beneficial effects that: the automatic extraction of the bidding document realizes the intelligent recognition of various qualification photos in the document mainly through an OCR technology, automatically distinguishes each type without manual screening, and simultaneously, the invention also realizes the accurate calculation, shortens the scoring time of the bidding document and improves the scoring efficiency.
Drawings
Fig. 1 is a flowchart of an automatic calculation method based on objective scores of scoring criteria according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an automatic calculation device for objective scoring based on a scoring criterion according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, an embodiment of the present invention provides an automatic calculation method based on objective scores of scoring criteria, including the following steps:
s1, importing a bid evaluation data packet, wherein the bid evaluation data packet comprises a scoring standard, bidder information and a bid document;
in the embodiment of the present invention, the step S1 includes the following specific steps:
(1-1): establishing a unique code for each bidder information according to the bid evaluation data packet;
(1-2): classifying bidding documents of all bidder information;
(1-3): newly establishing character characteristics in a scoring standard of the bidder information, and storing a unique code of each piece of information corresponding to the bidder information;
(1-4): and respectively storing the scoring standards of the bidding document and the bidder information in different indexes.
S2, preprocessing the bidding document;
further, in step S2, the bidding document includes a business license, financial data, performance data, product price, product quality and inventory amount bidding time.
Further, in step S2 of the embodiment of the present invention, the preprocessing specifically includes automatically extracting the bid document, mainly implementing intelligent recognition of various qualification photos in the document through an OCR technology, acquiring keywords, and automatically distinguishing each type.
S3: acquiring a keyword, calculating the score of the bidding document of the bidder information according to the scoring standard, and updating the score into the index of the corresponding bidding system;
further, in the embodiment of the present invention, the step S3 specifically includes:
(2-1): acquiring keywords, and respectively acquiring business license information, financial data, performance data, product price, product quality and inventory quantity bidding time in a bidding document as indexes for scoring the bidding document according to scoring standards;
(2-2): taking the maximum value of each index in the bidding document as a preset target, and standardizing the index of the bidding document;
(2-3): searching the bidding document information and the scoring standard according to the keywords, calculating to obtain the scoring of each index of the bidding document, and calculating according to the bidding document to obtain the score of each index;
(2-4): and carrying out weighted calculation on the keywords in the bidding documents of the bidder information to obtain the scores of the bidding documents of the bidder information, and updating the scores into the indexes of the corresponding bidding systems.
S4: standardizing the bidding documents and the scores, and then carrying out weighted calculation to obtain retrieval relevancy scores of the bidder information;
in the embodiment of the present invention, step S4 specifically includes: establishing a keyword set according to the keywords and storing grading information of bidders; and traversing the keyword set, standardizing the bidding document and the score, and then carrying out weighted calculation to obtain the retrieval relevance score of the bidder information.
S5: and carrying out weighted calculation on the bidder information retrieval relevance score and the bidder information bidding document score to obtain an objective score.
Referring to fig. 2, an embodiment of the present invention provides an automatic calculating device for objective scores based on scoring criteria, including:
the input data packet module is used for inputting a bid evaluation data packet, and the bid evaluation data packet comprises a scoring standard, bidder information and a bid document;
the data preprocessing module is used for preprocessing the data of the bidding document;
the index updating module: the index updating module is used for calculating the scores of the bidding documents of the bidder information according to the scoring standards and updating the scores into the indexes of the corresponding bidding systems;
a relevancy scoring module: the relevancy scoring module is used for standardizing the bidding documents and the scores and then carrying out weighted calculation to obtain retrieval relevancy scores of the bidder information;
objective module division: and the objective scoring module performs weighted calculation on the bidder information retrieval relevance score and the bidder information bidding document score to obtain an objective scoring.
The embodiment of the invention provides a terminal, which comprises a processor and a memory, wherein the memory is stored with a computer program, and the processor is used for executing the computer program to realize the automatic calculation method based on the scoring standard objective score when executing the computer program.
The embodiment of the invention provides a storage medium which stores an executable computer program, and the computer program realizes the automatic calculation method based on the grading standard objective score when being executed.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a sequence of computer program instruction segments for describing the execution of a computer program in a computer device that is capable of performing certain functions.
Those skilled in the art will appreciate that the above description of a computer apparatus is by way of example only and is not intended to be limiting of computer apparatus, and that the apparatus may include more or less components than those described, or some of the components may be combined, or different components may be included, such as input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the computer device and which connects the various parts of the overall computer device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the computer device by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The modules/units integrated by the computer device may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow in the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by a processor to implement the steps of the above embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, electrical signals, software distribution medium, and the like.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. An automatic calculation method based on scoring criteria objective scores is characterized by comprising the following steps:
s1, importing a bid evaluation data packet, wherein the bid evaluation data packet comprises a scoring standard, bidder information and a bid document;
s2, preprocessing the bidding document;
s3: acquiring a keyword, calculating the score of the bidding document of the bidder information according to the scoring standard, and updating the score into the index of the corresponding bidding system;
s4: standardizing the bidding documents and the scores, and then carrying out weighted calculation to obtain retrieval relevancy scores of the bidder information;
s5: and carrying out weighted calculation on the bidder information retrieval relevance score and the bidder information bidding document score to obtain an objective score.
2. The method for automatically calculating an objective score based on a scoring criterion according to claim 1, wherein the step S1 comprises the following steps:
(1-1): establishing a unique code for each bidder information according to the bid evaluation data packet;
(1-2): classifying bidding documents of all bidder information;
(1-3): newly establishing character characteristics in a scoring standard of the bidder information, and storing a unique code of each piece of information corresponding to the bidder information;
(1-4): and respectively storing the scoring standards of the bidding document and the bidder information in different indexes.
3. The method according to claim 1, wherein the bid document includes a license, financial data, performance data, product price, product quality, and inventory amount bidding time in step S2.
4. The method according to claim 1, wherein the preprocessing in step S2 is to extract bidding documents automatically, and to realize intelligent recognition of various qualification photos in the documents mainly through OCR technology, to obtain keywords, and to automatically distinguish each type.
5. The method for automatically calculating an objective score based on a scoring criterion according to claim 1, wherein the step S3 comprises the following steps:
(2-1): according to the scoring standard, respectively acquiring business license information, financial data, performance data, product price, product quality and inventory quantity bidding time in the bidding document as the scoring index of the bidding document;
(2-2): taking the maximum value of each index in the bidding document as a preset target, and standardizing the index of the bidding document;
(2-3): searching the bidding document information and the scoring standard according to the keywords, calculating to obtain the scoring of each index of the bidding document, and calculating according to the bidding document to obtain the score of each index;
(2-4): and carrying out weighted calculation on the keywords in the bidding documents of the bidder information to obtain the scores of the bidding documents of the bidder information, and updating the scores into the indexes of the corresponding bidding systems.
6. The method for automatically calculating an objective score based on a scoring criterion according to claim 1, wherein the step S4 is specifically as follows: establishing a keyword set according to the keywords and storing grading information of bidders; and traversing the keyword set, standardizing the bidding document and the score, and then carrying out weighted calculation to obtain the retrieval relevance score of the bidder information.
7. An automatic calculation device for objectively scoring based on a scoring criterion, comprising:
the input data packet module is used for inputting a bid evaluation data packet, and the bid evaluation data packet comprises a scoring standard, bidder information and a bid document;
the data preprocessing module is used for preprocessing the data of the bidding document;
the index updating module: the index updating module is used for calculating the scores of the bidding documents of the bidder information according to the scoring standards and updating the scores into the indexes of the corresponding bidding systems;
a relevancy scoring module: the relevancy scoring module is used for standardizing the bidding documents and the scores and then carrying out weighted calculation to obtain retrieval relevancy scores of the bidder information;
objective module division: and the objective scoring module performs weighted calculation on the bidder information retrieval relevance score and the bidder information bidding document score to obtain an objective scoring.
8. A terminal, comprising a processor and a memory, wherein the memory stores a computer program, and the processor is used for executing the computer program to execute the automatic calculation method based on the scoring criterion objective score according to any one of claims 1-6.
9. A storage medium storing a computer program executable to implement the method for automatically calculating an objective score based on a scoring criterion according to any one of claims 1 to 6.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113780285A (en) * | 2021-09-27 | 2021-12-10 | 常州市公共资源交易中心 | License analysis method, device and storage medium |
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| CN113780285B (en) * | 2021-09-27 | 2024-03-15 | 常州市公共资源交易中心 | License analysis method, device and storage medium |
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Application publication date: 20210312 |