CN113156864A - Subway project evaluation management system - Google Patents
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- CN113156864A CN113156864A CN202110485663.7A CN202110485663A CN113156864A CN 113156864 A CN113156864 A CN 113156864A CN 202110485663 A CN202110485663 A CN 202110485663A CN 113156864 A CN113156864 A CN 113156864A
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- 238000012854 evaluation process Methods 0.000 claims abstract description 5
- 239000013598 vector Substances 0.000 claims description 42
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses a subway engineering evaluation and calibration management system which comprises a bidding document input end, an identification module, a review module, an alarm module, a central processing unit and a calibration result output end, wherein the bidding document input end is connected with the central processing unit; the bidding document input module is connected with the identification module; the identification module is connected with the review module; and a review module: for scoring the in-tender document; the alarm module receives abnormal data generated by the identification module and the review module; the calibration result output end is used for determining and publishing the scoring result, and is connected with the review module; the central processing unit is used for storing data. The invention can rapidly identify the information contained in the bidding document through the identification module, the alarm module ensures the fairness and justice in the bid evaluation process, and the combination of the identification module and the evaluation module avoids the bias of experts to subway engineering bidding enterprises and simultaneously improves the working efficiency.
Description
Technical Field
The invention relates to the field of management systems, in particular to a subway project evaluation management system.
Background
With the development of the urban economy in China, the population quantity of urban residents is continuously increased, the number of vehicles is also continuously increased, and the traffic transportation pressure in China is increased more and more. The increase of the number of vehicles in China not only easily causes traffic congestion, but also easily causes traffic accidents and harms the life safety of people, and the subway engineering construction can well relieve the traffic congestion and is convenient for people to go out.
At present, the subway engineering bid inviting purchase is a convenient, efficient, transparent and environment-friendly transaction activity, while the traditional bid inviting purchase item is performed in a paper file and manual bid evaluation mode, when a large bid inviting and bidding item is encountered, the manual bid evaluation not only takes a long time, but also easily causes the problems of hand mistake and bias, and further causes the deviation of the evaluation result.
Disclosure of Invention
The invention solves the technical problem and provides a quick and efficient subway project assessment standard management system.
In order to solve the above technical problems, a first aspect of the present invention provides a subway project evaluation management system, including: the system comprises a bidding document input end, an identification module, a review module, an alarm module and a calibration result output end;
the bidding document input module is used for uploading bidding documents of enterprises and is connected with the identification module;
the identification module is used for identifying the content of the enterprise bidding document and is connected with the review module;
the evaluation module is used for scoring the bidding document;
the alarm module is used for giving an alarm to the data which are abnormal in the violation behaviors of the experts and in the evaluation process of the experts, and the alarm module receives the abnormal data generated by the identification module and the evaluation module;
and the calibration result output end is used for determining and publishing the scoring result, and is connected with the review module.
And the central processing unit is used for storing the data of the identification module, the review module, the alarm module and the calibration result output end.
As a further scheme of the invention, the bidding document input module comprises enterprise business licenses, industry categories, company qualifications, financial statements, historical cooperative engineering projects, project quotations and engineering quality.
As a further scheme of the present invention, the recognition module includes a text recognition unit and a semantic recognition unit, the text recognition unit is configured to perform content recognition on the obtained bidding document, the semantic recognition unit extracts the meaning of the text, and the text recognition unit is connected to the semantic recognition unit.
As a further scheme of the invention, the evaluation module comprises an evaluation expert information unit, a evaluation standard unit and an evaluation scoring unit, wherein the evaluation standard unit is respectively connected with the semantic identification unit and the expert information unit, and the expert information unit is connected with the evaluation scoring unit. And in the auditing module, the expert scores the system according to the scoring standard, and compared with paper document examination, the method avoids the bias of the expert to subway engineering bidding enterprises and improves the working efficiency.
As a further scheme of the invention, the alarm module comprises a bid evaluation expert video unit and a bid evaluation expert scoring abnormity unit, and the bid evaluation expert scoring abnormity unit is connected with the bid evaluation scoring unit. The video unit of the bid evaluation expert is used for recording abnormal behaviors and sounds of the bid evaluation expert in the scoring process, and the scoring abnormal unit of the bid evaluation expert is used for recording abnormal scores of the bid evaluation expert in the scoring process.
As a further scheme of the invention, the calibration result output end comprises a bid evaluation report unit, an enterprise ranking unit and an announcement unit, wherein the bid evaluation report unit is connected with the bid evaluation expert information unit, and the enterprise ranking unit is connected with the bid evaluation expert unit. And the calibration result output end is used for displaying the bid winning condition of the bidding enterprises participating in the subway project.
As a further aspect of the present invention, the processing steps of the identification module are:
(1-1) converting the bidding document into an image through a camera, correcting the image and acquiring a text line in the image;
(1-2) checking a semantic recognition result of the text line to be recognized;
(1-3) constructing a neural network model, performing convolution on the text lines, dividing the text lines into a training set and a verification set, and calculating similarity data of the text lines corresponding to the semantic recognition results to be selected;
and (1-4) determining the final semantic recognition result of the text line from each semantic recognition result to be selected according to the similarity data of the semantic recognition results.
The text line is trained through the neural network, and the semantic recognition result is determined by calculating the similarity data of the text line corresponding to the semantic recognition result to be selected, so that the text line is optimized, the recognition accuracy is increased, and the bidding document content can be rapidly obtained by the expert for spelling, examination and evaluation.
As a further scheme of the invention, in the step (1-2), the text line and the semantic recognition result to be selected are subjected to word segmentation, the word segmentation is converted into a first word vector, and the semantic recognition result to be selected is converted into a second word vector; and calculating the similarity of the first word vector and the second word vector through cosine similarity.
According to the method, the similarity between the first word vector and the second word vector is calculated through cosine similarity, the text line is quantized through word segmentation by training, and the accuracy of image recognition is improved through cosine similarity calculation between the word vectors.
In a further aspect of the present invention, the cosine similarity is calculated according to the following formula:
wherein the content of the first and second substances,
the first-time vector is represented by a vector,
the vector of the second time is represented,
representing a vector
And vector
The product of (a);
and
respectively represent vectors
Sum vector
The die of (1).
Compared with the prior art, the invention has the beneficial effects that: the invention can rapidly identify the information contained in the bidding document through the identification module, is convenient for experts to evaluate, can monitor the condition that the experts violate rules or score abnormally in the expert evaluation process in real time through the alarm module, ensures the fairness and the justice in the bidding process, shortens the scoring time by combining the identification module and the review module when the experts evaluate the bidding document, scores the experts in the review module according to the scoring standard on the system, and improves the working efficiency while avoiding the bias of the experts to subway engineering bidding enterprises compared with paper document review.
Drawings
Fig. 1 is a schematic structural diagram of a subway project evaluation management system according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a metro project evaluation management method according to an embodiment of the present invention.
Detailed Description
The following examples are further illustrative of the present invention and are not intended to be limiting thereof.
Example 1
Referring to fig. 1, an embodiment 1 of the present invention provides a subway project evaluation management system, including: the system comprises a bidding document input end 201, an identification module 202, a review module 203, an alarm module 204, a central processing unit 205 and a calibration result output end 206;
the bidding document input module is used for uploading bidding documents of enterprises, and is connected with the identification module 202;
the identification module 202 is used for identifying the content of the enterprise bidding document, and the identification module 202 is connected with the review module 203;
the evaluation module 203 is used for scoring the bidding document;
the alarm module 204 is used for giving an alarm to the data which is abnormal in the violation behaviors of the experts and in the evaluation process of the experts, and the alarm module 204 receives the abnormal data generated by the identification module 202 and the evaluation module 203;
the calibration result output end 206 is used for determining and publishing the scoring result, and the calibration result output end 206 is connected with the review module 203;
the central processor 205 is used for storing data of the identification module 202, the review module 203, the alarm module 204 and the calibration result output terminal 206.
Further, in the embodiment of the present invention, the bidding document input module includes an enterprise license, an industry category, a company qualification, a financial statement, a historical collaborative engineering project, a project quotation, and an engineering quality.
Further, in this embodiment of the present invention, the identification module 202 includes a text identification unit and a semantic identification unit, the text identification unit is configured to identify contents of the obtained bidding document, the semantic identification unit extracts meaning of the text, and the text identification unit is connected to the semantic identification unit.
Further, in the embodiment of the present invention, the review module 203 includes a bid evaluation expert information unit, a scoring standard unit, and a bid evaluation scoring unit, where the scoring standard unit is connected to the semantic identification unit and the expert information unit, respectively, and the expert information unit is connected to the bid evaluation scoring unit. The bid evaluation expert information unit comprises bid evaluation expert types, expert seniors and expert working experiences. And in the auditing module, the expert scores the system according to the scoring standard, and compared with paper document examination, the method avoids the bias of the expert to subway engineering bidding enterprises and improves the working efficiency. When scoring, the evaluation expert firstly evaluates the qualification of the enterprise company, carries out detailed evaluation on the enterprises with qualified qualification, carries out evaluation scoring on the detailed evaluation according to the evaluation standard unit for comparing the engineering quotation, the engineering quality, the enterprise scale and the like of the enterprises, and finally carries out total score calculation on the used system to obtain the ranking of the enterprise evaluation result.
Further, in the embodiment of the present invention, the alarm module 204 includes a bid evaluation expert video unit and a bid evaluation expert scoring exception unit, and the bid evaluation expert scoring exception unit is connected to the bid evaluation scoring unit. The video unit of the bid evaluation expert is used for recording abnormal behaviors and sounds of the bid evaluation expert in the scoring process, and the scoring abnormal unit of the bid evaluation expert is used for recording abnormal scores of the bid evaluation expert in the scoring process.
Further, in the embodiment of the present invention, the calibration result output end 206 includes an evaluation report unit, an enterprise ranking unit and an announcement unit, the evaluation report unit is connected to the evaluation expert information unit, and the enterprise ranking unit is connected to the evaluation expert unit.
The embodiment of the invention can rapidly identify the information contained in the bidding document through the identification module 202, is convenient for experts to evaluate, can monitor the condition that the experts violate rules or score abnormally in the process of evaluating the bidding documents in real time through the alarm module 204, ensures the fairness and justness in the process of evaluating the bidding documents, shortens the time of scoring by combining the identification module 202 and the evaluation module 203 when the experts evaluate the bidding documents, scores the experts in the evaluation module 203 on the system according to the scoring standard, and improves the working efficiency while avoiding the bias of the experts to subway engineering bidding enterprises compared with paper document review.
Further, the processing steps of the identification module 202 are as follows:
(1-1) converting the bidding document into an image through a camera, correcting the image and acquiring a text line in the image;
(1-2) checking a semantic recognition result of the text line to be recognized;
(1-3) constructing a neural network model, performing convolution on the text lines, dividing the text lines into a training set and a verification set, and calculating similarity data of the text lines corresponding to the semantic recognition results to be selected;
and (1-4) determining the final semantic recognition result of the text line from each semantic recognition result to be selected according to the similarity data of the semantic recognition results.
The text line is trained through the neural network, and the semantic recognition result is determined by calculating the similarity data of the text line corresponding to the semantic recognition result to be selected, so that the text line is optimized, the recognition accuracy is increased, and the bidding document content can be rapidly obtained by the expert for spelling, examination and evaluation.
Further, in the step (1-2) of the embodiment of the present invention, the text line and the result of the semantic recognition to be selected are subjected to word segmentation, and the word segmentation is converted into a first word vector, and the result of the semantic recognition to be selected is converted into a second word vector; and calculating the similarity of the first word vector and the second word vector through cosine similarity.
The similarity between the first word vector and the second word vector is calculated through cosine similarity, the text line is quantized through word segmentation by training, and the accuracy of image recognition is improved through calculation of cosine similarity between the word vectors.
As a further scheme of the present invention, the calculation formula of the cosine similarity is:
wherein the content of the first and second substances,
the first-time vector is represented by a vector,
the vector of the second time is represented,
representing a vector
And vector
The product of (a);
and
respectively represent vectors
Sum vector
The die of (1).
According to the invention, the similarity between the first word vector and the second word vector is calculated through cosine similarity, the word segmentation is converted through training, the quantization of text lines is realized, and the accuracy of similarity value calculation is improved through cosine similarity calculation between the word vectors.
According to the embodiment of the invention, the neural network is constructed, the text line is trained, the similarity of the text line to the semantic recognition result to be selected is calculated, and the recognition of the text line content is accurately and quickly realized.
The above detailed description is specific to possible embodiments of the present invention, and the above embodiments are not intended to limit the scope of the present invention, and all equivalent implementations or modifications that do not depart from the scope of the present invention should be included in the present claims.
Claims (9)
1. A subway project rating and scale management system, comprising: the system comprises a bidding document input end, an identification module, a review module, an alarm module, a central processing unit and a calibration result output end;
the bidding document input module is used for uploading bidding documents of enterprises and is connected with the identification module;
the identification module is used for identifying the content of the enterprise bidding document and is connected with the review module;
the evaluation module is used for scoring the bidding document;
the alarm module is used for giving an alarm to the data which are abnormal in the violation behaviors of the experts and in the evaluation process of the experts, and the alarm module receives the abnormal data generated by the identification module and the evaluation module;
the calibration result output end is used for determining and publishing the scoring result, and the calibration result output end is connected with the review module;
and the central processing unit is used for storing the data of the identification module, the review module, the alarm module and the calibration result output end.
2. A subway project evaluation and management system as claimed in claim 1, wherein said bidding document input module includes enterprise license, industry category, company qualification, financial statement, historical collaborative project, project quotation, project quality.
3. The subway engineering assessment scale management system of claim 1, wherein said identification module comprises a text identification unit and a semantic identification unit, said text identification unit is connected to said semantic identification unit.
4. The system of claim 1, wherein the review module comprises a bid evaluation expert information unit, a bid evaluation standard unit and a bid evaluation scoring unit, the bid evaluation standard unit is respectively connected with the semantic recognition unit and the expert information unit, and the expert information unit is connected with the bid evaluation scoring unit.
5. The subway project rating and bidding management system as claimed in claim 1, wherein said alarm module comprises a video unit of rating expert for recording abnormal behavior and sound of rating expert during rating process, and a rating abnormal unit of rating expert for recording abnormal score during rating process, said rating abnormal unit of rating expert for bidding being connected to the rating unit of rating expert.
6. The system as claimed in claim 1, wherein the calibration result output end comprises a bid evaluation report unit, an enterprise ranking unit and a bulletin unit, the bid evaluation report unit is connected with the bid evaluation expert information unit, and the enterprise ranking unit is connected with the bid evaluation expert unit.
7. The subway project rating and scale management system as claimed in claim 1, wherein said identification module processes the steps of:
(1-1) converting the bidding document into an image through a camera, correcting the image and acquiring a text line in the image;
(1-2) checking a semantic recognition result of the text line to be recognized;
(1-3) constructing a neural network model, performing convolution on the text lines, dividing the text lines into a training set and a verification set, and calculating similarity data of the text lines corresponding to the semantic recognition results to be selected;
and (1-4) determining the final semantic recognition result of the text line from each semantic recognition result to be selected according to the similarity data of the semantic recognition results.
8. The subway engineering rating scale management system as claimed in claim 7, wherein in step (1-2), the text line and the semantic recognition result to be selected are participated, and the participated words are converted into a first word vector, and the semantic recognition result to be selected is converted into a second word vector; and calculating the similarity of the first word vector and the second word vector through cosine similarity.
9. The method according to claim 8, wherein the cosine similarity is calculated by the following formula:
wherein the content of the first and second substances,
the first-time vector is represented by a vector,
the vector of the second time is represented,
representing a vector
And vector
The product of (a);
and
respectively represent vectors
Sum vector
The die of (1).
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106886862A (en) * | 2017-04-15 | 2017-06-23 | 湖南新邦软件股份有限公司 | One kind bid and purchase management system and method |
| CN111491135A (en) * | 2020-04-16 | 2020-08-04 | 广东电网有限责任公司电力调度控制中心 | Bidding evaluation monitoring system and bidding evaluation monitoring method |
| CN111932199A (en) * | 2020-07-24 | 2020-11-13 | 广州云硕科技发展有限公司 | Intelligent bid evaluation decision-making method and system |
| CN112434970A (en) * | 2020-12-12 | 2021-03-02 | 广东电力信息科技有限公司 | Qualification data verification method and device based on intelligent data acquisition |
| CN112488507A (en) * | 2020-11-30 | 2021-03-12 | 广东电网有限责任公司 | Expert classification portrait method and device based on clustering and storage medium |
| CN112632228A (en) * | 2020-12-30 | 2021-04-09 | 深圳供电局有限公司 | Text mining-based auxiliary bid evaluation method and system |
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- 2021-04-30 CN CN202110485663.7A patent/CN113156864A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106886862A (en) * | 2017-04-15 | 2017-06-23 | 湖南新邦软件股份有限公司 | One kind bid and purchase management system and method |
| CN111491135A (en) * | 2020-04-16 | 2020-08-04 | 广东电网有限责任公司电力调度控制中心 | Bidding evaluation monitoring system and bidding evaluation monitoring method |
| CN111932199A (en) * | 2020-07-24 | 2020-11-13 | 广州云硕科技发展有限公司 | Intelligent bid evaluation decision-making method and system |
| CN112488507A (en) * | 2020-11-30 | 2021-03-12 | 广东电网有限责任公司 | Expert classification portrait method and device based on clustering and storage medium |
| CN112434970A (en) * | 2020-12-12 | 2021-03-02 | 广东电力信息科技有限公司 | Qualification data verification method and device based on intelligent data acquisition |
| CN112632228A (en) * | 2020-12-30 | 2021-04-09 | 深圳供电局有限公司 | Text mining-based auxiliary bid evaluation method and system |
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