CN112766888A - Engineering project on-site bidding intelligent management system and cloud management platform based on big data internet - Google Patents
Engineering project on-site bidding intelligent management system and cloud management platform based on big data internet Download PDFInfo
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Abstract
The invention discloses an engineering project site bidding intelligent management system and a cloud management platform based on big data internet, which acquire the co-shooting images of each person and the corresponding bidding document file in an engineering project bidding place, acquire the face image of each person through segmentation processing, simultaneously compare and analyze whether the identity of each person is a participating bidding person, send the route of each participating bidding person to the corresponding seat of the meeting place to the display terminal of the corresponding person, simultaneously acquire the seat image of the meeting place in the bidding place, count the face image of the participating bidding person sitting in each seat of the meeting place, analyze and count each participating bidding person with wrong seat in the meeting place, assist and replace the corresponding seat of the meeting place through a worker, count the number of each seat not sitting in the engineering project bidding place, and communicate with the corresponding participating bidding person through the worker, therefore, the experience of bidders is improved, and the bidding effect of the bidding venue is realized.
Description
Technical Field
The invention relates to the field of project bid field management, in particular to an engineering project field bid intelligent management system and a cloud management platform based on a big data internet.
Background
Bidding is an international practice, is a highly developed product of engineering projects, is a mode of preferential hybridization developed by organizations under the action of a competitive mechanism of applied technology, economic methods and market economy. People usually gather to a designated bidding place when bidding, so that the experience of bidders in the bidding place becomes the content of attention required by people.
At present, the existing management method of the engineering project bidding place generally has some defects, the existing management method of the engineering project bidding place mostly adopts manual management, the identity of each person entering the project bidding place is verified by a worker, the manual verification efficiency is low, the condition of overlong queuing time and jam of the person is easily caused, thereby the expectation and interest of the bidder are reduced, the normal operation of the engineering project bidding place is influenced, the bidding effect of the bidding place is further influenced, meanwhile, the existing engineering project bidding place cannot control seats of the project bidding place all the time, the problem that the other bidding persons do not have seats due to the fact that a certain bidding person sits on the wrong seat exists, the requirement of the bidding person cannot be met, the participation experience of the bidding person is reduced, the quality of the engineering project bidding is seriously influenced, and in order to solve the problems, the intelligent management system and the cloud management platform for the engineering project bidding place based on the big data internet are designed .
Disclosure of Invention
The invention aims to provide an engineering project site bidding intelligent management system and a cloud management platform based on a big data internet, the invention acquires the face image of each person entering the engineering project bidding meeting place through acquiring the co-shooting image of each person and the corresponding bidding document in the engineering project bidding meeting place, obtains the face image of each person entering the engineering project bidding meeting place through segmentation processing, simultaneously contrasts and analyzes whether the identity of each person is a participating bidding person, sends the route of each participating bidding person to the corresponding meeting place seat to the display terminal of the corresponding person, simultaneously acquires the image of the meeting place seat in the engineering project bidding meeting place, counts the face image of the participating bidding person sitting in each meeting place seat, analyzes and counts each participating bidding person with wrong sitting in the meeting place seat, assists to replace the corresponding meeting place seat through a worker, counts the number of each unsetting seat in the engineering project bidding meeting place, the problems in the background technology are solved by the contact and communication between the working personnel and the bidding participants corresponding to the seat numbers of each meeting place.
The purpose of the invention can be realized by the following technical scheme:
the intelligent management system for the field bidding and tendering of the engineering project based on the big data Internet comprises an image acquisition module, an image processing module, an image segmentation module, a seat image acquisition module, a face image analysis module, an analysis server, a cloud service center and a storage database;
the analysis server is respectively connected with the image segmentation module, the seat image acquisition module, the cloud service center and the storage database, the storage database is respectively connected with the face image analysis module and the cloud service center, the image processing module is respectively connected with the image acquisition module and the image segmentation module, and the face image analysis module is respectively connected with the seat image acquisition module and the cloud service center;
the image acquisition module comprises a first camera and is used for acquiring the co-illumination of each person entering the engineering project bidding place and the bidding document carried by the person, acquiring the co-illumination image of each person entering the engineering project bidding place and the corresponding bidding document through the first camera, counting the co-illumination image of each person entering the engineering project bidding place and the corresponding bidding document, and sending the acquired co-illumination image of each person entering the engineering project bidding place and the corresponding bidding document to the image processing module;
the image processing module is used for receiving the co-shooting images of all the personnel entering the engineering project bidding place and the corresponding bidding documents sent by the image acquisition module, carrying out geometric normalization processing on the received co-shooting images of all the personnel entering the engineering project bidding place and the corresponding bidding documents to change the images into images with consistent sizes and without deflection angles on human faces, simultaneously carrying out gray level conversion processing and image enhancement processing, and sending the processed co-shooting enhanced images of all the personnel entering the engineering project bidding place and the corresponding bidding documents to the image segmentation module;
the image segmentation module is used for receiving the co-shooting enhanced images of all the personnel entering the engineering project bidding meeting place and the corresponding bidding documents sent by the image processing module, segmenting the received co-shooting enhanced images of all the personnel entering the engineering project bidding meeting place and the corresponding bidding documents by adopting a face image segmentation technology, splicing each face characteristic region obtained by image segmentation, removing background images outside each face characteristic region, counting the reserved face images of all the personnel entering the engineering project bidding meeting place, and sending the reserved face images of all the personnel entering the engineering project bidding meeting place to the analysis server;
the analysis server is used for receiving the face images of the personnel entering the engineering project bidding place sent by the image segmentation module, extracting the standard face images of the personnel participating in the engineering project bidding place stored in the storage database, comparing the received face images of the personnel entering the engineering project bidding place with the standard face images of the personnel participating in the engineering project bidding, counting the similarity between the face images of the personnel entering the engineering project bidding place and the standard face images of the personnel participating in the engineering project bidding place, screening the standard face images with the highest similarity corresponding to the personnel entering the engineering project bidding place, if the highest similarity corresponding to a certain personnel entering the engineering project bidding place is larger than or equal to a set similarity threshold value, indicating that the identity corresponding to the personnel is the personnel participating in the engineering project bidding place, counting the personnel participating in the engineering project bidding place, sending each participating bidder entering an engineering project bidding venue to a cloud service center;
the cloud service center is used for receiving each participating bidder entering the engineering project bidding venue sent by the analysis server, extracting the meeting venue seat number corresponding to each participating engineering project bidder stored in the storage database, screening the received meeting venue seat number corresponding to each participating bidder entering the engineering project bidding venue, and sending a route of each participating bidder entering the engineering project bidding venue to the corresponding meeting venue seat to a display terminal of the corresponding person;
the seat image acquisition module comprises a plurality of second cameras and is used for acquiring the images of the seats of the meeting places in the engineering project bidding meeting place, when the bidders enter the shooting range of the second cameras, the second cameras are used for acquiring the face images of the participators sitting in the seats of the meeting places in the engineering project bidding meeting place, counting the face images of the participators sitting in the seats of the meeting places in the engineering project bidding meeting place, and forming a face image set P (P) of the participators sitting in the seats of the meeting places in the engineering project bidding meeting place1,p2,...,pi,...,pn)，piThe face image sets of the participated bidders sitting in the ith meeting place seat in the engineering project bidding meeting place are respectively sent to the face image analysis module and the analysis server;
the face image analysis module is used for receiving the face image set of the participator who is seated in each meeting place seat in the engineering project bidding meeting place sent by the seat image acquisition module, extracting the standard face image of the participator who is seated in each meeting place seat in the engineering project bidding meeting place stored in the storage database, comparing the face image of the participator who is seated in each meeting place seat in the engineering project bidding meeting place with the standard face image of the participator who is corresponding to the corresponding meeting place seat, if the face image of the participator who is seated in a certain meeting place seat in the engineering project bidding meeting place is matched with the standard face image of the participator who is corresponding to the meeting place seat, the fact that the meeting place seat in which the participator is seated in the engineering project bidding meeting place is correct is shown, and if the face image of the participator who is seated in a certain meeting place seat in the engineering project bidding meeting place seat is matched with the standard face image of the participator who is corresponding to the meeting place seat The quasi face images are not matched, so that seat errors of the meeting places where the participating bidders in the engineering project bidding meeting place sit are shown, the face images corresponding to the participating bidders with seat errors of the meeting places in the engineering project bidding meeting place are counted, and the face images corresponding to the participating bidders with seat errors of the meeting places in the engineering project bidding meeting place are sent to the cloud service center;
the analysis server is used for receiving the face image sets of the participated bidders sitting in the seats of the meeting places in the engineering project bidding meeting place, which are sent by the seat image acquisition module, counting the numbers of the seats of the meeting places which are not sitting in the engineering project bidding meeting place, extracting and storing the seat numbers corresponding to the participated bidders of the engineering project bidding meeting place, which are stored in the database, screening the participated bidders corresponding to the seat numbers of the meeting places which are not sitting in the engineering project bidding meeting place, and sending the participated bidders corresponding to the seat numbers of the meeting places which are not sitting in the engineering project bidding meeting place to the cloud service center;
the cloud service center is used for receiving the face images, sent by the face image analysis module, corresponding to each participant bidder with wrong seats in the engineering project bidding venue, screening the numbers of the seats corresponding to each participant bidder with wrong seats in the engineering project bidding venue, and informing the staff to assist each participant bidder with wrong seats in the engineering project bidding venue to replace the corresponding seat in the engineering project bidding venue; meanwhile, receiving the participating bidders corresponding to the unsetting seat numbers of the meeting places in the engineering project bidding meeting place sent by the analysis server, extracting the contact ways of the participating bidders stored in the storage database, screening the contact ways of the participating bidders corresponding to the unsetting seat numbers of the meeting places in the engineering project bidding meeting place, and informing the working personnel to contact the participating bidders corresponding to the unsetting seat numbers of the meeting places in the engineering project bidding meeting place;
the storage database is used for storing the standard face images of the bidders participating in the engineering project, storing the meeting place seat numbers and the contact ways corresponding to the bidders participating in the engineering project, and storing the standard face images of the bidders participating in the meeting place corresponding to the seats of the meeting place in the engineering project bidding meeting place.
Further, the face image segmentation technology comprises the following steps:
s1, reducing the pixels of the photo-combination enhanced image to a set value according to the set face image size adjustment proportion;
s2, carrying out global segmentation threshold estimation on the enhanced image by adopting a maximum inter-class variance method to obtain an optimal global segmentation threshold, segmenting the enhanced image to obtain a segmented image containing a human face feature region, and averagely dividing the segmented image into a plurality of sub-images;
s3, local segmentation threshold estimation is carried out on the sub-images by adopting a maximum inter-class variance method to obtain the optimal local segmentation threshold of each sub-image, and different sub-images are segmented by using different segmentation thresholds;
s4, extracting the coordinates of the face feature area obtained by dividing each subimage, and reducing the coordinates of the face feature area to the original image coordinates according to the set image size adjustment proportion;
and S5, splicing the face feature areas obtained by dividing the sub-images according to the face characteristics.
Further, the human face characteristics are the shape description of the face organs and the distance characteristics between the organs, and the characteristic components of the human face characteristics generally include euclidean distances between characteristic points, curvatures, angles and sizes.
Furthermore, the second cameras are respectively installed above the seats of each meeting place in the engineering project bidding meeting place, and the serial numbers of the second cameras correspond to the serial numbers of the seats of each meeting place in the engineering project bidding meeting place one by one and are used for respectively acquiring the images of the corresponding seats of the meeting places in the engineering project bidding meeting place.
Further, the second camera detects the faces of the participators according to a detection method that the faces have certain structural distribution characteristics, performs dynamic target tracking on the detected faces, and collects face images of the participators sitting in seats of each meeting place in the engineering project bidding venue.
The cloud management platform comprises a processor, a machine-readable storage medium and a network interface, wherein the machine-readable storage medium, the network interface and the processor are connected through a bus system, the network interface is used for being in communication connection with at least one engineering project site bidding intelligent management device, the machine-readable storage medium is used for storing programs, instructions or codes, and the processor is used for executing the programs, the instructions or the codes in the machine-readable storage medium so as to execute the engineering project site bidding intelligent management system.
Has the advantages that:
(1) the engineering project site bidding intelligent management system and the cloud management platform based on the big data internet further screen partial personnel without carrying bidding documents by acquiring the co-shooting images of all personnel entering the engineering project bidding meeting place and corresponding bidding documents, reduce the time and the task amount required by personnel verification, simultaneously acquire the face images of all personnel entering the engineering project bidding meeting place through segmentation processing, compare and analyze whether the identity of all personnel is the participating bidding personnel, thereby improving the personnel identity verification efficiency of the bidding meeting place, avoiding the situations of overlong personnel queuing time and congestion, ensuring the normal operation of the engineering project bidding meeting place, and sending the routes of all the participating bidding personnel to the corresponding meeting place seats to the display terminals of the corresponding personnel so as to improve the expectation and the interest of the bidding personnel, the bidding effect of the bidding venue is realized.
(2) According to the invention, the face images of the participator who participates in the seats of the engineering project bidding venue are obtained, the face images of the participator who participates in the seats of the conference venue are counted, the participator who participates in the seats of the conference venue are analyzed and counted, the corresponding seat of the conference venue is replaced by the assistance of the worker, the problem that the participator does not have a seat due to the fact that the participator sits in the seat with a mistake is avoided, the serial numbers of the seats of the conference venue which does not sit in the engineering project bidding venue are counted, and the worker is in contact communication with the participator who participates in the seat serial numbers of the conference venues, so that the participation experience of the bidders is improved, and the bidding quality of the engineering project is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of the module connection of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the intelligent management system for engineering project field bid and bid based on big data internet comprises an image acquisition module, an image processing module, an image segmentation module, a seat image acquisition module, a face image analysis module, an analysis server, a cloud service center and a storage database.
The analysis server is respectively connected with the image segmentation module, the seat image acquisition module, the cloud service center and the storage database, the storage database is respectively connected with the face image analysis module and the cloud service center, the image processing module is respectively connected with the image acquisition module and the image segmentation module, and the face image analysis module is respectively connected with the seat image acquisition module and the cloud service center.
The image acquisition module comprises a first camera, and is used for acquiring the co-illumination of each person and the bidding document carried in the entering engineering project bidding meeting place, acquiring the co-illumination image of each person and the corresponding bidding document in the entering engineering project bidding meeting place through the first camera, further screening partial persons not carrying the bidding document, reducing the time and the task amount required by personnel verification, counting the co-illumination image of each person and the corresponding bidding document in the entering engineering project bidding meeting place, and sending the acquired co-illumination image of each person and the corresponding bidding document in the entering engineering project bidding meeting place to the image processing module.
The image processing module is used for receiving the co-shooting images of all the personnel entering the engineering project bidding place and the corresponding bidding documents sent by the image acquisition module, carrying out geometric normalization processing on the received co-shooting images of all the personnel entering the engineering project bidding place and the corresponding bidding documents, changing the images into images with consistent sizes and without declination on human faces, simultaneously carrying out gray level conversion processing and image enhancement processing, and sending the processed co-shooting enhanced images of all the personnel entering the engineering project bidding place and the corresponding bidding documents to the image segmentation module.
The image segmentation module is used for receiving the photo-combination enhanced images of all the personnel entering the engineering project bidding meeting place and the corresponding bidding documents sent by the image processing module, segmenting the received photo-combination enhanced images of all the personnel entering the engineering project bidding meeting place and the corresponding bidding documents by adopting a face image segmentation technology, splicing each face characteristic region obtained by image segmentation, removing background images outside each face characteristic region, counting the face images of all the personnel entering the engineering project bidding meeting place, and sending the face images of all the personnel entering the engineering project bidding meeting place to the analysis server.
The face image segmentation technology comprises the following steps:
s1, reducing the pixels of the photo-combination enhanced image to a set value according to the set face image size adjustment proportion;
s2, carrying out global segmentation threshold estimation on the enhanced image by adopting a maximum inter-class variance method to obtain an optimal global segmentation threshold, segmenting the enhanced image to obtain a segmented image containing a human face feature region, and averagely dividing the segmented image into a plurality of sub-images;
s3, local segmentation threshold estimation is carried out on the sub-images by adopting a maximum inter-class variance method to obtain the optimal local segmentation threshold of each sub-image, and different sub-images are segmented by using different segmentation thresholds;
s4, extracting the coordinates of the face feature area obtained by dividing each subimage, and reducing the coordinates of the face feature area to the original image coordinates according to the set image size adjustment proportion;
and S5, splicing the sub-images according to the human face characteristics to obtain a human face characteristic region, wherein the human face characteristics are the shape description of human face organs and the distance characteristics between organs, and the characteristic components of the human face characteristic region generally comprise Euclidean distance, curvature, angle and size between characteristic points.
The analysis server is used for receiving the face images of the personnel entering the engineering project bidding place sent by the image segmentation module, extracting the standard face images of the personnel participating in the engineering project bidding place stored in the storage database, comparing the received face images of the personnel entering the engineering project bidding place with the standard face images of the personnel participating in the engineering project bidding, counting the similarity between the face images of the personnel entering the engineering project bidding place and the standard face images of the personnel participating in the engineering project bidding place, screening the standard face images with the highest similarity corresponding to the personnel entering the engineering project bidding place, if the highest similarity corresponding to a certain personnel entering the engineering project bidding place is larger than or equal to a set similarity threshold value, indicating that the identity corresponding to the personnel is the personnel participating in the engineering project bidding place, counting the personnel participating in the engineering project bidding place, and sending each participating bidding personnel entering the engineering project bidding venue to the cloud service center, thereby improving the personnel identity verification efficiency of the bidding venue, avoiding the situations of overlong personnel queuing time and congestion and ensuring the normal operation of the engineering project bidding venue.
The cloud service center is used for receiving each participated bidder entering the engineering project bidding venue sent by the analysis server, extracting the venue seat number corresponding to each participated bidder entering the engineering project bidding venue stored in the storage database, screening the received venue seat number corresponding to each participated bidder entering the engineering project bidding venue, and sending a route of each participated bidder entering the engineering project bidding venue to the corresponding venue seat to a display terminal of the corresponding person, so that the expecting and interest of the bidder are improved, and the bidding effect of the bidding venue is achieved.
The seat image acquisition module comprises a plurality of second cameras, wherein the second cameras are respectively arranged above seats of each meeting place in the engineering project bidding meeting place, and the numbers of the plurality of second cameras correspond to the numbers of seats of each meeting place in the engineering project bidding meeting place one by one, is used for acquiring the images of the meeting places in the engineering project bidding hall, when the bidders enter the shooting range of the second camera, the second camera detects the face of the person participating in the bidding according to the detection method that the face has certain structural distribution characteristics, and carrying out dynamic target tracking on the detected human face, acquiring the human face images of the participatory bidders sitting in the seats of each meeting place in the engineering project bidding venue, counting the human face images of the participatory bidders sitting in the seats of each meeting place in the engineering project bidding venue, and forming a human face image set P (P) of the participatory bidders sitting in the seats of each meeting place in the engineering project bidding venue.1,p2,...,pi,...,pn)，piAnd the face images of the participated bidders sitting in the ith meeting place seat in the engineering project bidding meeting place are expressed, and the face image sets of the participated bidders sitting in the ith meeting place seat in the engineering project bidding meeting place are respectively sent to the face image analysis module and the analysis server.
The face image analysis module is used for receiving the face image set of the participator who is seated in each meeting place seat in the engineering project bidding meeting place sent by the seat image acquisition module, extracting the standard face image of the participator who is seated in each meeting place seat in the engineering project bidding meeting place stored in the storage database, comparing the face image of the participator who is seated in each meeting place seat in the engineering project bidding meeting place with the standard face image of the participator who is corresponding to the corresponding meeting place seat, if the face image of the participator who is seated in a certain meeting place seat in the engineering project bidding meeting place is matched with the standard face image of the participator who is corresponding to the meeting place seat, the fact that the meeting place seat in which the participator is seated in the engineering project bidding meeting place is correct is shown, and if the face image of the participator who is seated in a certain meeting place seat in the engineering project bidding meeting place seat is matched with the standard face image of the participator who is corresponding to the meeting place seat And if the quasi face images are not matched, indicating that seats of the participating bidders in the engineering project bidding venue are wrong, counting the face images corresponding to the participating bidders with the wrong seats in the engineering project bidding venue, and sending the face images corresponding to the participating bidders with the wrong seats in the engineering project bidding venue to the cloud service center.
The analysis server is used for receiving the face image sets of the participated bidders sitting in the seats of the meeting places in the engineering project bidding meeting place, which are sent by the seat image acquisition module, counting the numbers of the seats of the meeting places which are not sitting in the engineering project bidding meeting place, extracting the seat numbers of the meeting places corresponding to the participated engineering project bidders stored in the storage database, screening the participated bidders corresponding to the seat numbers of the meeting places which are not sitting in the engineering project bidding meeting place, and sending the participated bidders corresponding to the seat numbers of the meeting places which are not sitting in the engineering project bidding meeting place to the cloud service center.
The cloud service center is used for receiving the face images, sent by the face image analysis module, corresponding to each participant bidder with wrong seats in the engineering project bidding venue, screening the numbers of the seats corresponding to each participant bidder with wrong seats in the engineering project bidding venue, and informing workers to assist each participant bidder with wrong seats in the engineering project bidding venue to replace the corresponding seat, so that the problem that other participants have no seats due to the wrong seats of the tenderers is solved; meanwhile, the method receives the participating bidders corresponding to the unsetting seat numbers of the meeting places in the engineering project bidding meeting places sent by the analysis server, extracts the contact ways of the participating bidders stored in the storage database, screens the contact ways of the participating bidders corresponding to the unsetting seat numbers of the meeting places in the engineering project bidding meeting places, and informs the working personnel to contact and communicate with the participating bidders corresponding to the unsetting seat numbers of the meeting places in the engineering project bidding meeting places, so that the participating experience of the bidders is improved, and the quality of the engineering project bidding is guaranteed.
The storage database is used for storing the standard face images of the bidders participating in the engineering project, storing the meeting place seat numbers and the contact ways corresponding to the bidders participating in the engineering project, and storing the standard face images of the bidders participating in the meeting place corresponding to the seats of the meeting place in the engineering project bidding meeting place.
The cloud management platform comprises a processor, a machine-readable storage medium and a network interface, wherein the machine-readable storage medium, the network interface and the processor are connected through a bus system, the network interface is used for being in communication connection with at least one engineering project site bidding intelligent management device, the machine-readable storage medium is used for storing programs, instructions or codes, and the processor is used for executing the programs, the instructions or the codes in the machine-readable storage medium so as to execute the engineering project site bidding intelligent management system.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (6)
1. Engineering project on-site bid intelligent management system based on big data internet, its characterized in that: the human face image analysis system comprises an image acquisition module, an image processing module, an image segmentation module, a seat image acquisition module, a human face image analysis module, an analysis server, a cloud service center and a storage database;
the analysis server is respectively connected with the image segmentation module, the seat image acquisition module, the cloud service center and the storage database, the storage database is respectively connected with the face image analysis module and the cloud service center, the image processing module is respectively connected with the image acquisition module and the image segmentation module, and the face image analysis module is respectively connected with the seat image acquisition module and the cloud service center;
the image acquisition module comprises a first camera and is used for acquiring the co-illumination of each person entering the engineering project bidding place and the bidding document carried by the person, acquiring the co-illumination image of each person entering the engineering project bidding place and the corresponding bidding document through the first camera, counting the co-illumination image of each person entering the engineering project bidding place and the corresponding bidding document, and sending the acquired co-illumination image of each person entering the engineering project bidding place and the corresponding bidding document to the image processing module;
the image processing module is used for receiving the co-shooting images of all the personnel entering the engineering project bidding place and the corresponding bidding documents sent by the image acquisition module, carrying out geometric normalization processing on the received co-shooting images of all the personnel entering the engineering project bidding place and the corresponding bidding documents to change the images into images with consistent sizes and without deflection angles on human faces, simultaneously carrying out gray level conversion processing and image enhancement processing, and sending the processed co-shooting enhanced images of all the personnel entering the engineering project bidding place and the corresponding bidding documents to the image segmentation module;
the image segmentation module is used for receiving the co-shooting enhanced images of all the personnel entering the engineering project bidding meeting place and the corresponding bidding documents sent by the image processing module, segmenting the received co-shooting enhanced images of all the personnel entering the engineering project bidding meeting place and the corresponding bidding documents by adopting a face image segmentation technology, splicing each face characteristic region obtained by image segmentation, removing background images outside each face characteristic region, counting the reserved face images of all the personnel entering the engineering project bidding meeting place, and sending the reserved face images of all the personnel entering the engineering project bidding meeting place to the analysis server;
the analysis server is used for receiving the face images of the personnel entering the engineering project bidding place sent by the image segmentation module, extracting the standard face images of the personnel participating in the engineering project bidding place stored in the storage database, comparing the received face images of the personnel entering the engineering project bidding place with the standard face images of the personnel participating in the engineering project bidding, counting the similarity between the face images of the personnel entering the engineering project bidding place and the standard face images of the personnel participating in the engineering project bidding place, screening the standard face images with the highest similarity corresponding to the personnel entering the engineering project bidding place, if the highest similarity corresponding to a certain personnel entering the engineering project bidding place is larger than or equal to a set similarity threshold value, indicating that the identity corresponding to the personnel is the personnel participating in the engineering project bidding place, counting the personnel participating in the engineering project bidding place, sending each participating bidder entering an engineering project bidding venue to a cloud service center;
the cloud service center is used for receiving each participating bidder entering the engineering project bidding venue sent by the analysis server, extracting the meeting venue seat number corresponding to each participating engineering project bidder stored in the storage database, screening the received meeting venue seat number corresponding to each participating bidder entering the engineering project bidding venue, and sending a route of each participating bidder entering the engineering project bidding venue to the corresponding meeting venue seat to a display terminal of the corresponding person;
the seat image acquisition module comprises a plurality of second cameras and is used for acquiring the images of the seats of the meeting places in the engineering project bidding meeting place, when the bidders enter the shooting range of the second cameras, the second cameras are used for acquiring the face images of the participators sitting in the seats of the meeting places in the engineering project bidding meeting place, counting the face images of the participators sitting in the seats of the meeting places in the engineering project bidding meeting place, and forming a face image set P (P) of the participators sitting in the seats of the meeting places in the engineering project bidding meeting place1,p2,...,pi,...,pn)，piThe face image sets of the participated bidders sitting in the ith meeting place seat in the engineering project bidding meeting place are respectively sent to the face image analysis module and the analysis server;
the face image analysis module is used for receiving the face image set of the participator who is seated in each meeting place seat in the engineering project bidding meeting place sent by the seat image acquisition module, extracting the standard face image of the participator who is seated in each meeting place seat in the engineering project bidding meeting place stored in the storage database, comparing the face image of the participator who is seated in each meeting place seat in the engineering project bidding meeting place with the standard face image of the participator who is corresponding to the corresponding meeting place seat, if the face image of the participator who is seated in a certain meeting place seat in the engineering project bidding meeting place is matched with the standard face image of the participator who is corresponding to the meeting place seat, the fact that the meeting place seat in which the participator is seated in the engineering project bidding meeting place is correct is shown, and if the face image of the participator who is seated in a certain meeting place seat in the engineering project bidding meeting place seat is matched with the standard face image of the participator who is corresponding to the meeting place seat The quasi face images are not matched, so that seat errors of the meeting places where the participating bidders in the engineering project bidding meeting place sit are shown, the face images corresponding to the participating bidders with seat errors of the meeting places in the engineering project bidding meeting place are counted, and the face images corresponding to the participating bidders with seat errors of the meeting places in the engineering project bidding meeting place are sent to the cloud service center;
the analysis server is used for receiving the face image sets of the participated bidders sitting in the seats of the meeting places in the engineering project bidding meeting place, which are sent by the seat image acquisition module, counting the numbers of the seats of the meeting places which are not sitting in the engineering project bidding meeting place, extracting and storing the seat numbers corresponding to the participated bidders of the engineering project bidding meeting place, which are stored in the database, screening the participated bidders corresponding to the seat numbers of the meeting places which are not sitting in the engineering project bidding meeting place, and sending the participated bidders corresponding to the seat numbers of the meeting places which are not sitting in the engineering project bidding meeting place to the cloud service center;
the cloud service center is used for receiving the face images, sent by the face image analysis module, corresponding to each participant bidder with wrong seats in the engineering project bidding venue, screening the numbers of the seats corresponding to each participant bidder with wrong seats in the engineering project bidding venue, and informing the staff to assist each participant bidder with wrong seats in the engineering project bidding venue to replace the corresponding seat in the engineering project bidding venue; meanwhile, receiving the participating bidders corresponding to the unsetting seat numbers of the meeting places in the engineering project bidding meeting place sent by the analysis server, extracting the contact ways of the participating bidders stored in the storage database, screening the contact ways of the participating bidders corresponding to the unsetting seat numbers of the meeting places in the engineering project bidding meeting place, and informing the working personnel to contact the participating bidders corresponding to the unsetting seat numbers of the meeting places in the engineering project bidding meeting place;
the storage database is used for storing the standard face images of the bidders participating in the engineering project, storing the meeting place seat numbers and the contact ways corresponding to the bidders participating in the engineering project, and storing the standard face images of the bidders participating in the meeting place corresponding to the seats of the meeting place in the engineering project bidding meeting place.
2. The big data internet-based engineering project site bidding and tendering intelligent management system as claimed in claim 1, wherein: the face image segmentation technology comprises the following steps:
s1, reducing the pixels of the photo-combination enhanced image to a set value according to the set face image size adjustment proportion;
s2, carrying out global segmentation threshold estimation on the enhanced image by adopting a maximum inter-class variance method to obtain an optimal global segmentation threshold, segmenting the enhanced image to obtain a segmented image containing a human face feature region, and averagely dividing the segmented image into a plurality of sub-images;
s3, local segmentation threshold estimation is carried out on the sub-images by adopting a maximum inter-class variance method to obtain the optimal local segmentation threshold of each sub-image, and different sub-images are segmented by using different segmentation thresholds;
s4, extracting the coordinates of the face feature area obtained by dividing each subimage, and reducing the coordinates of the face feature area to the original image coordinates according to the set image size adjustment proportion;
and S5, splicing the face feature areas obtained by dividing the sub-images according to the face characteristics.
3. The big data internet-based engineering project site bidding and tendering intelligent management system as claimed in claim 2, wherein: the human face characteristics are the shape description of the face organs and the distance characteristics between the organs, and the characteristic components of the human face characteristics generally comprise Euclidean distance, curvature, angle and size between characteristic points.
4. The big data internet-based engineering project site bidding and tendering intelligent management system as claimed in claim 1, wherein: the second cameras are respectively installed above seats of all meeting places in the engineering project bidding meeting place, and the serial numbers of the second cameras correspond to the serial numbers of the seats of all meeting places in the engineering project bidding meeting place one by one and are used for respectively collecting images of the corresponding seats of the meeting places in the engineering project bidding meeting place.
5. The big data internet-based engineering project site bidding and tendering intelligent management system as claimed in claim 1, wherein: the second camera detects the faces of the participators according to a detection method that the faces have certain structural distribution characteristics, carries out dynamic target tracking on the detected faces, and collects face images of the participators sitting in seats of each meeting place in the engineering project bidding venue.
6. A cloud management platform, characterized in that: the cloud management platform comprises a processor, a machine-readable storage medium and a network interface, wherein the machine-readable storage medium, the network interface and the processor are connected through a bus system, the network interface is used for being in communication connection with at least one engineering project site bidding intelligent management device, the machine-readable storage medium is used for storing programs, instructions or codes, and the processor is used for executing the programs, the instructions or the codes in the machine-readable storage medium so as to execute the engineering project site bidding intelligent management system according to any one of claims 1 to 5.
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