CN112183686A - AI action recognition and RFID positioning position integrated personnel management system - Google Patents
AI action recognition and RFID positioning position integrated personnel management system Download PDFInfo
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- CN112183686A CN112183686A CN202010989263.5A CN202010989263A CN112183686A CN 112183686 A CN112183686 A CN 112183686A CN 202010989263 A CN202010989263 A CN 202010989263A CN 112183686 A CN112183686 A CN 112183686A
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- 238000004458 analytical method Methods 0.000 claims abstract description 11
- 230000004927 fusion Effects 0.000 claims abstract description 10
- 230000004807 localization Effects 0.000 claims 4
- 238000010276 construction Methods 0.000 abstract description 22
- 238000012544 monitoring process Methods 0.000 abstract description 8
- 238000005516 engineering process Methods 0.000 description 5
- 238000009435 building construction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/90—Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
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Abstract
The invention discloses a personnel management system integrating AI behavior identification and RFID positioning in the technical field of building constructor management, which comprises an RFID positioning base station, a high-definition panoramic camera, a high-definition camera, a face attendance device, a 5G network bridge, a personnel positioning card and an AI personnel positioning management system, wherein a, the RFID base station is used for establishing a personnel positioning wireless coverage network, and the personnel positioning wireless coverage network and the RFID radio frequency card are used for completing the data acquisition of the working position of a worker in a construction site; b. a video monitoring network covering a construction site is formed by a video monitoring camera and a 5G network bridge; c. the face image information of the personnel entering the construction site is collected through a face attendance machine; d. the AI personnel positioning system realizes system setting management, video acquisition management, personnel image information comparison analysis, RFID positioning data acquisition management, video information and positioning information fusion analysis and fusion information analysis early warning analysis.
Description
Technical Field
The invention relates to the technical field of building constructor management, in particular to a personnel management system integrating AI behavior identification and RFID positioning.
Background
With the rapid development of the informatization technology, the penetration of the informatization technology into various industries is accelerated, a new round of upgrading of the informatization technology is also met in the field of building construction at present, and technologies such as an intelligent labor service system, an intelligent construction site, Internet of things monitoring and the like are gradually applied to the field of building construction; in this field, the management of personnel is an important part, and with the increasing scale of construction sites, the division of labor and the thinning of work and the increasing number of cooperative equipment, more and more personnel are needed, and how to effectively manage and supervise the personnel is unrealistic and difficult to meet by the traditional manned mode at present.
Based on the above, the invention designs a personnel management system integrating AI behavior identification and RFID positioning to solve the above mentioned problems.
Disclosure of Invention
The invention aims to provide a personnel management system integrating AI behavior identification and RFID positioning, which realizes identification management of workers on a construction site by combining AI panoramic video monitoring and RFID electronic tag positioning and a big data analysis technology, improves management efficiency and solves the problems.
In order to achieve the purpose, the invention provides the following technical scheme: a personnel management system integrating AI behavior recognition and RFID positioning comprises an RFID positioning base station, a high-definition panoramic camera, a high-definition camera, a face attendance device, a 5G network bridge, a personnel positioning card and an AI personnel positioning management system,
RFID location base station, high definition panorama camera, high definition camera, people's face attendance equipment and personnel locator card all are connected with AI personnel location management system through the 5G bridge, RFID location base station, high definition panorama camera, high definition camera pass through building site 5G network with video data, RFID data upload and give AI personnel location management system, AI personnel location management system passes through personnel image acquisition module and gathers people's face image information with people's face attendance machine to get into the building site personnel, and bind personnel's information and photo information.
Preferably, at least three RFID positioning base stations are arranged, and a plurality of RFID positioning base stations form a basic positioning network.
Preferably, high definition panorama camera adopts the ball machine, high definition camera adopts the rifle bolt, high definition camera arranges in building site perimeter position, high definition panorama camera is installed in the highest point of tower machine or lift.
Preferably, the personnel locator card configures an RFID electronic tag for workers, and the RFID electronic tag is placed on a belt or a safety helmet.
Preferably, the AI personnel positioning management system comprises a server, a system setting module, a video acquisition module, a personnel image information comparison module, an RFID positioning data acquisition module, a video information and positioning information fusion module, and a fusion information analysis and early warning module.
Compared with the prior art, the invention has the beneficial effects that:
a. establishing a personnel positioning wireless coverage network by using an RFID base station, and completing the data acquisition of the working position of the personnel in the construction site with an RFID radio frequency card;
b. a video monitoring network covering a construction site is formed by a video monitoring camera and a 5G network bridge;
c. the face image information of the personnel entering the construction site is collected through a face attendance machine;
d. the AI personnel positioning system realizes system setting management, video acquisition management, personnel image information comparison analysis, RFID positioning data acquisition management, video information and positioning information fusion analysis and fusion information analysis early warning analysis.
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 structural view of the present invention;
fig. 2 is a schematic structural diagram of an AI personnel location management system according to 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.
Example 1
Referring to fig. 1-2, the present invention provides a technical solution: a personnel management system integrating AI behavior recognition and RFID positioning comprises an RFID positioning base station, a high-definition panoramic camera, a high-definition camera, a face attendance device, a 5G network bridge, a personnel positioning card and an AI personnel positioning management system,
RFID location base station, high definition panorama camera, high definition camera, people's face attendance equipment and personnel locator card all are connected with AI personnel location management system through the 5G bridge, RFID location base station, high definition panorama camera, high definition camera pass through building site 5G network with video data, RFID data upload and give AI personnel location management system, AI personnel location management system passes through personnel image acquisition module and gathers people's face image information with people's face attendance machine to get into the building site personnel, and bind personnel's information and photo information.
The RFID positioning base stations are at least provided with three, and a plurality of RFID positioning base stations form a basic positioning network.
Wherein, high definition panorama camera adopts the ball machine, high definition camera adopts the rifle bolt, high definition camera arranges in building site perimeter position, high definition panorama camera is installed in the highest point of tower machine or lift.
The personnel positioning card is used for configuring an RFID electronic tag for workers and is arranged on a belt or a safety helmet.
The AI personnel positioning management system comprises a server, a system setting module, a video acquisition module, a personnel image information comparison module, an RFID positioning data acquisition module, a video information and positioning information fusion module and a fusion information analysis early warning module.
The specific principle is as follows:
1. the system finishes the acquisition of face image information of personnel entering a construction site through a face attendance machine, and the personnel information and the photo information are bound through the system;
2. the RFID positioning base stations are arranged at intervals of 100-200 meters, 3 RFID positioning base stations form a basic positioning network and can be specifically designed according to the actual situation of a construction site;
3. high-definition cameras (gunlocks) are generally arranged at the peripheral positions of a construction site, and high-definition panoramic cameras are generally installed at higher positions of the construction site, such as the tops of tower cranes, elevators and the like, and cover the whole construction site or main construction parts of the construction site as much as possible during implementation;
4. configuring an RFID electronic tag for each worker, and placing the RFID electronic tag at the position of a waistband or a safety helmet;
5. uploading the video data and the RFID data to a personnel positioning management system through a construction site 5G network;
6. the above 1-5 completes the layout of the monitoring network, and the working process is described below;
7. collecting face data entering a construction site by a person through a face recognition system of a staff passage at the door of the construction site;
8. after entering a construction site, the RFID card is communicated with the positioning base station in real time, and the position of the employee on the construction site is calculated;
9. the panoramic camera and the perimeter gunlock monitor moving objects entering a construction site range in real time, and personnel information is confirmed according to whether the monitoring position and the personnel positioning position are overlapped;
10. the panorama ball machine locks and positions the face information of the personnel through focusing, compares with the entrance acquisition information, and finally determines that if the personnel have a violation behavior at the moment, the system can directly record and inform the manager.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. The utility model provides a personnel management system that AI action discernment and RFID fix a position the phase and fuse which characterized in that: comprises an RFID positioning base station, a high-definition panoramic camera, a high-definition camera, a face attendance device, a 5G network bridge, a personnel positioning card and an AI personnel positioning management system,
RFID location base station, high definition panorama camera, high definition camera, people's face attendance equipment and personnel locator card all are connected with AI personnel location management system through the 5G bridge, RFID location base station, high definition panorama camera, high definition camera pass through building site 5G network with video data, RFID data upload and give AI personnel location management system, AI personnel location management system passes through personnel image acquisition module and gathers people's face image information with people's face attendance machine to get into the building site personnel, and bind personnel's information and photo information.
2. The AI behavior recognition and RFID localization integrated personnel management system of claim 1, wherein: the number of the RFID positioning base stations is at least three, and a plurality of the RFID positioning base stations form a basic positioning network.
3. The AI behavior recognition and RFID localization integrated personnel management system of claim 1, wherein: high definition panoramic camera adopts the ball machine, high definition camera adopts the rifle bolt, high definition camera arranges in building site perimeter position, high definition panoramic camera installs in the highest point of tower machine or lift.
4. The AI behavior recognition and RFID localization integrated personnel management system of claim 1, wherein: the personnel locator card is used for configuring RFID electronic tags for workers and is arranged on a belt or a safety helmet.
5. The AI behavior recognition and RFID localization integrated personnel management system of claim 1, wherein: the AI personnel positioning management system comprises a server, a system setting module, a video acquisition module, a personnel image information comparison module, an RFID positioning data acquisition module, a video information and positioning information fusion module and a fusion information analysis early warning module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010989263.5A CN112183686A (en) | 2020-09-18 | 2020-09-18 | AI action recognition and RFID positioning position integrated personnel management system |
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| CN202010989263.5A CN112183686A (en) | 2020-09-18 | 2020-09-18 | AI action recognition and RFID positioning position integrated personnel management system |
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| CN113642502A (en) * | 2021-08-23 | 2021-11-12 | 浙江索思科技有限公司 | Image processing special equipment practitioner positioning system and method |
| CN114821957A (en) * | 2022-05-13 | 2022-07-29 | 湖南工商大学 | AI video analysis system and method |
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| CN114821957A (en) * | 2022-05-13 | 2022-07-29 | 湖南工商大学 | AI video analysis system and method |
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