CN113283857A - Intelligent management system for bidding of subway engineering - Google Patents

Intelligent management system for bidding of subway engineering Download PDF

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CN113283857A
CN113283857A CN202110484521.9A CN202110484521A CN113283857A CN 113283857 A CN113283857 A CN 113283857A CN 202110484521 A CN202110484521 A CN 202110484521A CN 113283857 A CN113283857 A CN 113283857A
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module
expert
unit
bidding
review
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姜涛
赖步一
黄震
李平安
李勤
魏莹
孟祥宇
张永明
雷尉
陈亦文
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Shenzhen Metro Group Co ltd
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Abstract

The invention discloses an intelligent management system for bidding of subway engineering, which comprises a user login module, a bidding document input module, an expert management module, a review module, a calibration module and a monitoring system, wherein the user login module is used for operating login ports of enterprises and administrators, and the user login module is respectively connected with the bidding document input module and the expert management module; the bidding document input module and the expert management module are connected with the review module, the review module is connected with the calibration module, the expert management module is connected with the monitoring system, and the monitoring system is used for monitoring abnormal behaviors of experts and scoring abnormal data. The invention monitors the expert management module in real time through the monitoring system, avoids the phenomenon that the experts gain gains personal gains in the process of review, and ensures the fairness and the authenticity of the bidding system in the process of review.

Description

Intelligent management system for bidding of subway engineering
Technical Field
The invention relates to the technical field of bidding, in particular to an intelligent management system for bidding of subway projects.
Background
The subway has the characteristics of high speed, punctuality, safety and large transportation capacity, the subway engineering construction occupies an important position for rail transit and transportation, and the subway engineering construction can not only improve the economic growth of China, but also improve the living standard of people. The subway engineering bid is a standardized transaction activity which is formed by applying the interaction of a technical and economic method and a market competition mechanism and optimizing through legal programs. With the increase of internet technology in China, the bidding service platform also meets the requirements of enterprises for selecting suppliers in all aspects and selects the optimal enterprise from the suppliers. In the existing bid inviting management system, the album is falsified when the album is reviewed in the bid inviting file, which results in distortion of the review result, so that it is very important to monitor the expert review in real time.
Disclosure of Invention
Aiming at the problems, the invention provides a real-time monitoring intelligent management system for subway engineering bid inviting.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: the intelligent management system for the bidding of the subway engineering comprises a user login module, a bidding document input module, an expert management module, a review module, a calibration module and a monitoring system, wherein the user login module is used for operating login ports of enterprises and administrators, and the user login module is respectively connected with the bidding document input module and the expert management module; the bidding document input module and the expert management module are connected with the review module, the review module is connected with the calibration module, the expert management module is connected with the monitoring system, and the monitoring system is used for monitoring abnormal behaviors of experts and scoring abnormal data.
As a further scheme of the present invention, the user login module includes an enterprise login unit and an administrator login unit, the enterprise login unit is connected to the bid document input module, and the administrator login unit is connected to the expert management module. The user login module sets authority to log in, so that enterprises and administrators can conveniently operate.
As a further scheme of the invention, the monitoring system comprises a behavior abnormity module, a scoring abnormity module, an alarm module and a database, wherein the abnormity unit and the scoring abnormity module are respectively connected with the alarm module, and the alarm module is connected with the database. The behavior abnormity module is used for monitoring illegal behaviors of the review experts, the scoring abnormity module is used for detecting whether scores scored by the review experts are real and effective, the alarm module is used for warning the behaviors and the scoring abnormity of the review experts, and the database is used for storing the illegal behaviors and the scoring abnormity data of the review experts.
As a further scheme of the present invention, the behavior abnormality module includes a sound source unit, a positioning unit, a video unit, and an identification unit, wherein the sound source unit is connected to the positioning unit, the positioning unit is connected to the video unit, and the video unit is connected to the identification unit.
As a further scheme of the present invention, the processing steps of the behavior exception module are:
s1, acquiring position information of an evaluation expert through a sound source signal, and acquiring video data of the evaluation expert through the position information;
s2, establishing a behavior abnormity analysis model, and analyzing the time of evaluating the motion of an expert, the motion track and the motion mode in the video data;
and S3, judging whether the behavior of the evaluation expert is abnormal or not, and outputting a result.
As a further scheme of the present invention, the establishing of the behavior anomaly analysis model includes a speed anomaly analysis model, and the speed anomaly analysis model specifically includes:
s21, setting an initial threshold value of abnormal speed
Figure DEST_PATH_IMAGE001
S22, calculating the movement speed of the review experts at any two moments
Figure 66876DEST_PATH_IMAGE002
S23. when
Figure DEST_PATH_IMAGE003
The speed is normal when
Figure 780754DEST_PATH_IMAGE004
The speed is abnormal, and the number of times of evaluating the expert speed abnormality is counted
Figure DEST_PATH_IMAGE005
. The invention determines the movement speed of an expert by the corresponding coordinate positions of two moments
Figure 294912DEST_PATH_IMAGE002
By speed of movement
Figure 860760DEST_PATH_IMAGE002
And a preset abnormal initial threshold
Figure 409553DEST_PATH_IMAGE001
The number of speed abnormity can be accurately calculated.
As a further aspect of the present invention, in step S22, the calculating of the movement speed of the review expert at any two moments
Figure 232015DEST_PATH_IMAGE002
The formula of (1) is:
Figure DEST_PATH_IMAGE007
wherein,
Figure 295786DEST_PATH_IMAGE008
in order to review the distance traveled by the expert,
Figure DEST_PATH_IMAGE009
in order to be the time difference between the two,
Figure 901211DEST_PATH_IMAGE010
is composed of
Figure DEST_PATH_IMAGE011
The coordinates at which the expert is located are reviewed at the moment,
Figure 304511DEST_PATH_IMAGE012
is composed of
Figure DEST_PATH_IMAGE013
And (4) evaluating the coordinates of the expert at the moment.
As a further aspect of the present invention, in step S23, a threshold value for the number of abnormalities is set
Figure 94612DEST_PATH_IMAGE014
When is coming into contact with
Figure DEST_PATH_IMAGE015
Then the behavior is normal, when
Figure 255466DEST_PATH_IMAGE016
Then the behavior is abnormal. By comparing the number of times of the speed abnormity with a preset abnormity number threshold value, whether the behavior of the evaluation expert is abnormal can be clearly judged.
As a further scheme of the invention, the calibration module comprises an enterprise ranking unit and a publishing unit. The enterprise ranking unit can clearly see the bid evaluation scores of the enterprises, and the publishing unit is used for announcing and displaying the bid winning conditions of the enterprises.
Compared with the prior art, the invention has the beneficial effects that: the abnormal behavior module in the monitoring system can monitor the behavior of the evaluation expert in real time, and the evaluation expert is prevented from communicating with other evaluation experts or leaving the evaluation room. A scoring abnormity unit in the monitoring system can detect whether the expert scores have bias or not and evaluate the authenticity of the score through a database. The invention monitors the expert management module in real time through the monitoring system, avoids the phenomenon that the experts gain gains personal gains in the process of review, and ensures the fairness and the authenticity of the bidding system in the process of review.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent management system for bidding for subway engineering provided in embodiment 1 of the present invention.
The system comprises a user login module 1, a bidding document input module 2, an expert management module 3, an evaluation module 4, a monitoring system 5 and a calibration module 6.
Detailed Description
The following examples are further illustrative of the present invention and are not intended to be limiting thereof.
Referring to fig. 1, an embodiment of the present invention provides an intelligent management system for bidding of subway engineering, including a user login module, a bidding document input module, an expert management module, a review module, a calibration module, and a monitoring system, where the user login module is used for operating login ports of enterprises and administrators, and the user login module is respectively connected to the bidding document input module and the expert management module; the bidding document input module and the expert management module are connected with the review module, the review module is connected with the calibration module, the expert management module is connected with the monitoring system, and the monitoring system is used for monitoring abnormal behaviors of experts and scoring abnormal data.
In the embodiment of the invention, the user login module comprises an enterprise login unit and an administrator login unit, the enterprise login unit is connected with the bid document input module, and the administrator login unit is connected with the expert management module. The user login module sets authority to log in, so that enterprises and administrators can conveniently operate. And in the expert management module, before evaluating the bidding document, the expert firstly performs expert identity authentication, the identity authentication is performed on the evaluating expert through a face recognition technology, and the authentication is performed through matching the corresponding bidding document according to the field type of the evaluating expert.
In the embodiment of the invention, the monitoring system comprises a behavior abnormity module, a scoring abnormity module, an alarm module and a database, wherein the abnormity unit and the scoring abnormity module are respectively connected with the alarm module, and the alarm module is connected with the database. The behavior abnormity module is used for monitoring illegal behaviors of the review experts, the scoring abnormity module is used for detecting whether scores scored by the review experts are real and effective, the alarm module is used for warning the behaviors and the scoring abnormity of the review experts, and the database is used for storing the illegal behaviors and the scoring abnormity data of the review experts.
In the embodiment of the invention, the behavior abnormity module comprises a sound source unit, a positioning unit, a video unit and an identification unit, wherein the sound source unit is connected with the positioning unit, the positioning unit is connected with the video unit, and the video unit is connected with the identification unit.
In the embodiment of the present invention, the processing steps of the behavior exception module are as follows:
s1, acquiring position information of an evaluation expert through a sound source signal, and acquiring video data of the evaluation expert through the position information;
s2, establishing a behavior abnormity analysis model, and analyzing the time of evaluating the motion of an expert, the motion track and the motion mode in the video data;
and S3, judging whether the behavior of the evaluation expert is abnormal or not, and outputting a result.
Further, in the embodiment of the present invention, the establishing of the behavior anomaly analysis model includes a speed anomaly analysis model, where the speed anomaly analysis model specifically includes:
s21, setting an initial threshold value of abnormal speed
Figure 992478DEST_PATH_IMAGE001
S22, calculating the movement speed of the review experts at any two moments
Figure 250284DEST_PATH_IMAGE002
S23. when
Figure 680128DEST_PATH_IMAGE003
The speed is normal when
Figure 718492DEST_PATH_IMAGE004
The speed is abnormal, and the number of times of evaluating the expert speed abnormality is counted
Figure 993615DEST_PATH_IMAGE005
Further, in the embodiment of the present invention, in step S22, the calculating of the movement speed of the review expert at any two moments
Figure 371507DEST_PATH_IMAGE002
The formula of (1) is:
Figure DEST_PATH_IMAGE017
wherein,
Figure 378777DEST_PATH_IMAGE008
in order to review the distance traveled by the expert,
Figure 107699DEST_PATH_IMAGE009
in order to be the time difference between the two,
Figure 920934DEST_PATH_IMAGE010
is composed of
Figure 418911DEST_PATH_IMAGE011
The coordinates at which the expert is located are reviewed at the moment,
Figure 987296DEST_PATH_IMAGE012
is composed of
Figure 937934DEST_PATH_IMAGE013
And (4) evaluating the coordinates of the expert at the moment.
The invention determines the movement speed of an expert by the corresponding coordinate positions of two moments
Figure 554861DEST_PATH_IMAGE002
By speed of movement
Figure 907345DEST_PATH_IMAGE002
And a preset abnormal initial threshold
Figure 20532DEST_PATH_IMAGE001
The number of speed abnormity can be accurately calculated.
Further, in the embodiment of the present invention, in step S23, a threshold value of the abnormal times is set
Figure 458466DEST_PATH_IMAGE014
When is coming into contact with
Figure 613504DEST_PATH_IMAGE015
Then the behavior is normal, when
Figure 86074DEST_PATH_IMAGE016
Then the behavior is abnormal. By comparing the number of times of the speed abnormity with a preset abnormity number threshold value, whether the behavior of the evaluation expert is abnormal can be clearly judged.
Further, in the embodiment of the present invention, the targeting module includes an enterprise ranking unit and a publishing unit. The enterprise ranking unit can clearly see the bid evaluation scores of the enterprises, and the publishing unit is used for announcing and displaying the bid winning conditions of the enterprises.
In the embodiment of the invention, the abnormal behavior module in the monitoring system can monitor the behavior of the evaluation expert in real time, and the evaluation expert is prevented from communicating with other evaluation experts or leaving the evaluation room. A scoring abnormity unit in the monitoring system can detect whether the expert scores have bias or not and evaluate the authenticity of the score through a database. The invention monitors the expert management module in real time through the monitoring system, avoids the phenomenon that the experts gain gains personal gains in the process of review, and ensures the fairness and the authenticity of the bidding system in the process of review.
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. The intelligent management system for the bidding of the subway engineering is characterized by comprising a user login module, a bidding document input module, an expert management module, a review module, a calibration module and a monitoring system, wherein the user login module is used for operating login ports of enterprises and managers and is respectively connected with the bidding document input module and the expert management module; the bidding document input module and the expert management module are connected with the review module, the review module is connected with the calibration module, the expert management module is connected with the monitoring system, and the monitoring system is used for monitoring abnormal behaviors of experts and scoring abnormal data.
2. An intelligent management system for bidding of subway projects as claimed in claim 1, wherein said user login module comprises an enterprise login unit and an administrator login unit, said enterprise login unit is connected with the bidding document input module, said administrator login unit is connected with the expert management module.
3. An intelligent management system for subway engineering bid inviting, according to claim 1, characterized in that said monitoring system comprises a behavior abnormity module, a scoring abnormity module, an alarm module and a database, said abnormity unit and said scoring abnormity module are respectively connected with the alarm module, said alarm module is connected with the database.
4. An intelligent management system for bidding of subway projects as claimed in claim 3, wherein said behavior abnormality module comprises a sound source unit, a positioning unit, a video unit and an identification unit, said sound source unit is connected to said positioning unit, said positioning unit is connected to said video unit, said video unit is connected to said identification unit.
5. A subway engineering bid intelligent management system as claimed in claim 3, wherein said behavior exception module processing steps are:
s1, acquiring position information of an evaluation expert through a sound source signal, acquiring video data of the evaluation expert through the position information, and S2, establishing a behavior abnormity analysis model, and analyzing the movement time, movement track and movement mode of the evaluation expert in the video data;
and S3, judging whether the behavior of the evaluation expert is abnormal or not, and outputting a result.
6. An intelligent management system for subway engineering bid recruitment according to claim 5, wherein the established behavior anomaly analysis model comprises a speed anomaly analysis model, and the speed anomaly analysis model is specifically:
s21, setting an initial threshold value of abnormal speed
Figure 281685DEST_PATH_IMAGE002
S22, calculating the movement speed of the review experts at any two moments
Figure 858159DEST_PATH_IMAGE004
S23. when
Figure 987789DEST_PATH_IMAGE006
The speed is normal when
Figure 474266DEST_PATH_IMAGE008
The speed is abnormal, and the number of times of evaluating the expert speed abnormality is counted
Figure 31149DEST_PATH_IMAGE010
7. An intelligent management system for bidding of subway projects according to claim 6, wherein in step S22, said calculating any two time reviewSpeed of movement of an expert
Figure 94920DEST_PATH_IMAGE012
The formula of (1) is:
Figure 28241DEST_PATH_IMAGE014
wherein,
Figure 618491DEST_PATH_IMAGE016
in order to review the distance traveled by the expert,
Figure 346275DEST_PATH_IMAGE018
in order to be the time difference between the two,
Figure 897343DEST_PATH_IMAGE020
is composed of
Figure 634354DEST_PATH_IMAGE022
The coordinates at which the expert is located are reviewed at the moment,
Figure 892160DEST_PATH_IMAGE024
is composed of
Figure 994109DEST_PATH_IMAGE026
And (4) evaluating the coordinates of the expert at the moment.
8. An intelligent management system for subway engineering bid according to claim 5, wherein in step S23, a threshold value of abnormal times is set
Figure 970155DEST_PATH_IMAGE028
When is coming into contact with
Figure 42016DEST_PATH_IMAGE030
Then the behavior is normal, when
Figure DEST_PATH_IMAGE032
Then the behavior is abnormal.
9. An intelligent management system for bidding of subway projects as claimed in claim 1, wherein said scaling module comprises an enterprise ranking unit and a publishing unit.
CN202110484521.9A 2021-04-30 2021-04-30 Intelligent management system for bidding of subway engineering Pending CN113283857A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113689202A (en) * 2021-09-08 2021-11-23 贵州省科技信息中心 Online evaluation anomaly detection method and system
CN114302109A (en) * 2021-12-14 2022-04-08 南京市公共资源交易中心江北新区分中心 Monitoring system and method for public resource transaction witness

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CN111738672A (en) * 2020-05-18 2020-10-02 国网河北省电力有限公司物资分公司 Intelligent coordination system for bid evaluation work

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CN104240037A (en) * 2014-09-27 2014-12-24 武钢集团昆明钢铁股份有限公司 Remote bid evaluation system and method
CN110546593A (en) * 2017-04-20 2019-12-06 维亚塞斯公司 Video stream reading method
CN107644318A (en) * 2017-09-21 2018-01-30 广东元正招标采购有限公司 A kind of bid evaluation system for the integrated management that calls for bid
CN108345865A (en) * 2018-03-07 2018-07-31 广州图普网络科技有限公司 A kind of monitoring method, device and the user terminal of involved party's abnormal behaviour
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113689202A (en) * 2021-09-08 2021-11-23 贵州省科技信息中心 Online evaluation anomaly detection method and system
CN114302109A (en) * 2021-12-14 2022-04-08 南京市公共资源交易中心江北新区分中心 Monitoring system and method for public resource transaction witness

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