CN114120506A - Infrastructure field personnel management and control system and method based on 5G network architecture - Google Patents

Infrastructure field personnel management and control system and method based on 5G network architecture Download PDF

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Publication number
CN114120506A
CN114120506A CN202111160642.4A CN202111160642A CN114120506A CN 114120506 A CN114120506 A CN 114120506A CN 202111160642 A CN202111160642 A CN 202111160642A CN 114120506 A CN114120506 A CN 114120506A
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personnel
infrastructure
site
field
entering
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Inventor
马宇辉
胡旭光
陈荣健
蒋征毅
毛水强
李磊
程辉阳
袁琪
瞿迪庆
贾建明
高晓旺
滕建军
金幸�
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State Grid Zhejiang Electric Power Co Ltd
Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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State Grid Zhejiang Electric Power Co Ltd
Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Priority to CN202111160642.4A priority Critical patent/CN114120506A/en
Publication of CN114120506A publication Critical patent/CN114120506A/en
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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/20Individual registration on entry or exit involving the use of a pass
    • G07C9/22Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/10Registering, 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
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/20Individual registration on entry or exit involving the use of a pass
    • G07C9/27Individual registration on entry or exit involving the use of a pass with central registration
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/32Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/38Individual registration on entry or exit not involving the use of a pass with central registration
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-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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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Human Computer Interaction (AREA)
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  • Signal Processing (AREA)
  • Alarm Systems (AREA)

Abstract

The invention provides a infrastructure field personnel management and control system and a infrastructure field personnel management and control method based on a 5G network architecture, wherein the management and control system comprises a field access control, a field camera and a monitoring background, and the field access control and the field camera are connected with the monitoring background through a 5G communication network. The control method specifically comprises the steps of carrying out identity recognition on each person entering the infrastructure site through a site access control, obtaining person basic data, determining a person access area corresponding to each person entering the infrastructure site according to the person basic data by a monitoring background, carrying out action track monitoring on the person entering the infrastructure site through a site camera, sending an alarm when the person enters the person access area, feeding back the position of the person in real time, and stopping the alarm when detecting that the person entering the infrastructure site returns to the corresponding person access area. The invention can carry out access control and action track monitoring on personnel in the infrastructure site, and can better realize personnel control in the infrastructure site.

Description

Infrastructure field personnel management and control system and method based on 5G network architecture
Technical Field
The invention relates to the technical field of infrastructure field management, in particular to a personnel management and control system and method for a infrastructure field based on a 5G network architecture.
Background
Because the constructors on the infrastructure site have different working areas on the infrastructure site according to different working contents, the access areas of the constructors on the infrastructure site need to be divided for the working efficiency and the construction safety of the constructors, but in the prior art, the setting of the access areas mostly only takes safety factors into consideration, and does not take the engineering task arrangement of the infrastructure site and the type of each constructor into consideration, so that the working states and the like of the constructors cannot be comprehensively monitored and managed in the construction process of the infrastructure site. In the prior art, whether the constructor on the infrastructure site is in the access area is judged mainly by positioning the safety equipment worn by the constructor, and if the constructor does not wear the safety equipment accurately, the position of the constructor cannot be acquired accurately, so that the constructor on the infrastructure site cannot be managed effectively.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a infrastructure field personnel management and control system and method based on a 5G network architecture.
The purpose of the invention is realized by the following technical scheme:
the utility model provides a capital construction field personnel management and control system based on 5G network architecture, includes on-the-spot entrance guard, on-the-spot camera and control backstage, on-the-spot entrance guard and on-the-spot camera all are connected with the control backstage through 5G communication network, on-the-spot entrance guard is used for gathering the personnel's basic data that get into the personnel on the capital construction scene, on-the-spot camera is used for gathering the on-the-spot video image of capital construction, the control backstage is used for carrying out the personnel access management on the capital construction scene according to personnel's basic data and on-the-spot video image of capital construction.
Further, the personnel basic data comprises personnel names, identification numbers, job numbers, card numbers, working units, face photos and time information entering a infrastructure site.
Further, on-site entrance guard includes personnel's floodgate machine, be equipped with the face identification post on the personnel's floodgate machine, the face identification post passes through 5G communication network and monitors backstage communication connection, the face identification post is used for carrying out identification to the personnel that get into the capital construction scene, acquires personnel's basic data.
A personnel management and control method for a infrastructure site of a 5G network architecture comprises the following steps:
firstly, identifying the identity of each person entering a infrastructure site through a site access control to obtain basic data of the person;
secondly, transmitting the personnel basic data to a monitoring background, and determining a personnel access area corresponding to each personnel entering the infrastructure site by the monitoring background according to the personnel basic data;
and step three, monitoring the action track of the personnel entering the infrastructure site through the field camera, sending an alarm signal to the corresponding safety equipment when the personnel entering the infrastructure site exceed the personnel access area, feeding back the position of the personnel in real time through the field camera, sending a stop alarm signal to the safety equipment by the monitoring background when the monitoring background detects that the personnel entering the infrastructure site return to the corresponding personnel access area, and stopping the alarm by the safety equipment.
Further, the specific process of monitoring the action track of the personnel entering the infrastructure site through the site camera in the third step is as follows: dividing the video collected by the camera on site frame by frame, comparing each frame of video image obtained by division with the front and back two frames of video images, extracting the video image with image change, and the video image with image change is subjected to face detection to screen out a face video image to be recognized which at least comprises a face, extracting the human face features of the human face video image to be recognized, calculating the similarity of the extracted human face features and reference feature data corresponding to the human face information collected by all human face recognition columns, determining the personnel identity corresponding to the face in each frame of video image according to the similarity calculation result, collecting the video images judged to be the same personnel identity according to the acquisition time, then acquiring the number of the field camera corresponding to the acquired video image to determine the position of the field camera, and determining the action track of the person according to the position of the field camera and the video image acquisition time.
Further, the specific process of determining the personnel access area according to the personnel basic data by the monitoring background in the step two is as follows: the monitoring background calls the infrastructure field work tasks on the same day, the personnel access areas of the infrastructure field are divided according to the infrastructure field work tasks on the same day, each infrastructure field work task corresponds to one personnel access area, the monitoring background determines the historical engineering task and the work type corresponding to each personnel entering the infrastructure field according to the personnel basic data, the task allocation of each personnel entering the infrastructure field on the same day is determined according to the historical engineering task and the work type corresponding to each personnel entering the infrastructure field, the task allocation of each personnel entering the infrastructure field on the same day is matched with the work task corresponding to each personnel access area by the monitoring background, and the personnel access areas of each personnel entering the infrastructure field are obtained.
Furthermore, when identity recognition is carried out on each person entering the infrastructure site through the field access control in the step one, the number of the safety device corresponding to each person entering the infrastructure site is collected through the field access control, the safety device is bound with the corresponding person, when the person entering the infrastructure site exceeds the person access area, the monitoring background extracts the number of the safety device corresponding to the person, and the monitoring background sends an alarm signal to the corresponding safety device through the 5G communication network according to the number of the safety device.
The invention has the beneficial effects that:
the personnel information can be identified when the personnel enter and exit the infrastructure site, and personnel entering the infrastructure site are matched with each other in personnel access areas through the personnel information, so that more accurate personnel access areas are determined, and the operation safety of constructors can be effectively improved while the constructors are prevented from entering dangerous areas by mistake. And the action track of the constructor is monitored through the on-site camera, so that the working state of the constructor can be more visually obtained, and the construction efficiency of the constructor is improved. The personnel basic information and the monitoring background are synchronized through the 5G network, the infrastructure site data can be collected uniformly, and real-time monitoring management of infrastructure site personnel is achieved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of the present invention;
FIG. 2 is a schematic flow diagram of the present invention;
wherein: 1. the system comprises a field entrance guard, 2, a field camera, 3 and a monitoring background.
Detailed Description
The invention is further described below with reference to the figures and examples.
Example (b):
the utility model provides a capital construction on-the-spot personnel management and control system based on 5G network architecture, as shown in figure 1, including on-the-spot entrance guard, on-the-spot camera and monitoring backstage, on-the-spot entrance guard and on-the-spot camera all are connected with the monitoring backstage through 5G communication network, on-the-spot entrance guard is used for gathering the personnel basic data that get into the personnel on the capital construction scene, on-the-spot camera is used for gathering the video image in the capital construction scene, the monitoring backstage is used for carrying out the personnel access management on the capital construction scene according to personnel basic data and the video image in the capital construction scene. The field entrance guard is arranged at an entrance and an exit of a capital construction field.
The field entrance guard comprises a personnel gate, a face recognition column is arranged on the personnel gate, the face recognition column is in communication connection with a monitoring background through a 5G communication network, and the face recognition column is used for identifying the identity of personnel entering a capital construction field and acquiring personnel basic data.
The field entrance guard also comprises a vehicle gate besides a personnel gate, and the vehicle gate identifies vehicles entering the field and acquires information such as license plate numbers, working units and the like corresponding to the vehicles.
The personnel basic data comprises personnel names, identification card numbers, job numbers, card numbers, working units, face photos and time information entering a infrastructure site.
The construction tasks corresponding to the personnel can be obtained through the identification of the personnel identities, and the corresponding personnel access areas can be obtained according to the construction tasks, so that the monitoring management of the personnel entering the infrastructure site is realized. And the time information of the entering and exiting site is also recorded, so that the source can be traced in time when an accident occurs, and the information of personnel related to the accident is determined.
Accurate face information can be obtained through the face recognition column, the monitoring platform can determine a corresponding construction task through the face information, and each person can be accurately distinguished in the video image when the action track of the person is judged subsequently.
A personnel management and control method for a infrastructure site of a 5G network architecture, as shown in fig. 2, includes the following steps:
firstly, identifying the identity of each person entering a infrastructure site through a site access control to obtain basic data of the person;
secondly, transmitting the personnel basic data to a monitoring background, and determining a personnel access area corresponding to each personnel entering the infrastructure site by the monitoring background according to the personnel basic data;
and step three, monitoring the action track of the personnel entering the infrastructure site through the field camera, sending an alarm signal to the corresponding safety equipment when the personnel entering the infrastructure site exceed the personnel access area, feeding back the position of the personnel in real time through the field camera, sending a stop alarm signal to the safety equipment by the monitoring background when the monitoring background detects that the personnel entering the infrastructure site return to the corresponding personnel access area, and stopping the alarm by the safety equipment.
Because the work types corresponding to the personnel on the infrastructure site are different and the corresponding work sites are also different, the personnel access area is determined according to the basic information of each personnel entering the infrastructure site, and the personnel management is refined. And the personnel beyond the personnel access area can be alarmed, the accident occurrence probability is reduced, and the construction safety of the infrastructure site is improved. And the monitoring of personnel is carried out through the on-site camera, and compared with the traditional mode of positioning through safety equipment, the working state of personnel can be more visually obtained, so that the construction efficiency of a capital construction site is improved.
The specific process of monitoring the action track of the personnel entering the infrastructure site through the site camera in the third step is as follows: dividing the video collected by the camera on site frame by frame, comparing each frame of video image obtained by division with the front and back two frames of video images, extracting the video image with image change, and the video image with image change is subjected to face detection to screen out a face video image to be recognized which at least comprises a face, extracting the human face features of the human face video image to be recognized, calculating the similarity of the extracted human face features and reference feature data corresponding to the human face information collected by all human face recognition columns, determining the personnel identity corresponding to the face in each frame of video image according to the similarity calculation result, collecting the video images judged to be the same personnel identity according to the acquisition time, then acquiring the number of the field camera corresponding to the acquired video image to determine the position of the field camera, and determining the action track of the person according to the position of the field camera and the video image acquisition time.
When a video image with image change is extracted, human body screening is also carried out on the extracted video image, and a video image with only background change is deleted, wherein the human body screening specifically comprises the following steps: the video image is processed through the HOG algorithm, the HOG characteristic vector of the video image is obtained and is compared with the human body characteristic vector, so that whether personnel exist in the video image is judged, and the calculation amount of face detection is reduced.
When the human face characteristic extraction is carried out, if the human face characteristic which can not be completely extracted appears, namely the human face characteristic quantity is smaller than the video image of the characteristic quantity required by the human face identification, the video image with the human face in the previous frame and the video image with the human face in the next frame of the video image are extracted, the human face characteristic identification is carried out on the video image with the human face in the previous frame and the video image with the human face in the next frame, the identified human face characteristic is firstly matched with the human face characteristic extracted from the video image, when at least one human face characteristic exists, the identified human face characteristic is integrated with the human face characteristic extracted from the video image, the integrated human face characteristic quantity is judged, if the human face characteristic quantity is still smaller than the characteristic quantity required by the human face identification, the video image with the human face in the previous frame and the video image with the human face in the next frame of the integrated video image are called, and face feature supplement is carried out until the face feature quantity required by face recognition is met.
When the field camera collects the infrastructure field video, the field camera is controlled by the monitoring background, and managers in the infrastructure field can more accurately acquire video images by adjusting the shooting angle of the field camera and can also more finely identify the face detection of constructors in the video images.
The specific process that the monitoring background determines the personnel access area according to the personnel basic data in the second step is as follows: the monitoring background calls the infrastructure field work tasks on the same day, the personnel access areas of the infrastructure field are divided according to the infrastructure field work tasks on the same day, each infrastructure field work task corresponds to one personnel access area, the monitoring background determines the historical engineering task and the work type corresponding to each personnel entering the infrastructure field according to the personnel basic data, the task allocation of each personnel entering the infrastructure field on the same day is determined according to the historical engineering task and the work type corresponding to each personnel entering the infrastructure field, the task allocation of each personnel entering the infrastructure field on the same day is matched with the work task corresponding to each personnel access area by the monitoring background, and the personnel access areas of each personnel entering the infrastructure field are obtained.
The personnel access areas are divided through the work tasks, the working conditions of the personnel in each personnel access area can be judged, and the personnel access areas corresponding to each personnel can be more reasonable.
When the identity of each person entering the infrastructure site is identified through the field access control in the first step, the number of the safety equipment corresponding to each person entering the infrastructure site is collected through the field access control, the safety equipment is bound with the corresponding person, when the person entering the infrastructure site exceeds a person access area, the number of the safety equipment corresponding to the person is extracted by the monitoring background, and the monitoring background sends an alarm signal to the corresponding safety equipment through a 5G communication network according to the number of the safety equipment.
Every personnel that get into the capital construction scene all need wear safety device, and every safety device all possesses its safety device serial number that corresponds, and all is provided with 5G communication module and GPS orientation module on every safety device, can communicate with the control backstage through 5G communication module, receives the alarm signal and the stop alarm signal that the control backstage sent. The GPS positioning module through the safety equipment can also position the position of personnel, when the video image of a certain personnel needs to be called, the position of the personnel can be positioned through the GPS positioning module of the safety equipment, then a field camera closest to the position of the personnel is called to collect the video image, and the personnel management and control efficiency can be further improved.
The method comprises the steps that position information of safety equipment is detected in real time by a monitoring background, after the monitoring background detects that the time for keeping the position of the safety equipment motionless exceeds a preset time threshold value, a camera closest to the position of the safety equipment is taken, the wearing state of the safety equipment of a corresponding person entering a infrastructure site is confirmed, if the person entering the infrastructure site does not wear the safety equipment accurately, an alarm is sent out through the safety equipment, the number of times for the safety equipment of the person entering the infrastructure site to wear accurately is recorded, and if the number of times exceeds the preset number of times, the preset time is adjusted, and the preset time threshold value of the safety equipment is reduced. The safety equipment can be accurately worn by personnel entering the infrastructure site, and the safety of the personnel entering the infrastructure site is guaranteed.
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.

Claims (7)

1. The utility model provides a capital construction on-the-spot personnel management and control system based on 5G network architecture, its characterized in that, including on-the-spot entrance guard, on-the-spot camera and monitoring backstage, on-the-spot entrance guard and on-the-spot camera all are connected with the monitoring backstage through 5G communication network, on-the-spot entrance guard is used for gathering the personnel basic data that get into the personnel on the capital construction scene, on-the-spot camera is used for gathering the video image in the capital construction scene, the monitoring backstage is used for carrying out the personnel access management on the capital construction scene according to personnel basic data and the video image in the capital construction scene.
2. The personnel management and control system of the infrastructure site based on the 5G network architecture as claimed in claim 1, wherein the personnel basic data includes personnel name, identification number, job number, card number, work unit, face photo and time information of entering the infrastructure site.
3. The infrastructure field personnel management and control system based on 5G network architecture of claim 1, characterized in that, the field entrance guard includes personnel floodgate, be equipped with face identification post on the personnel floodgate, face identification post is through 5G communication network and control backstage communication connection, face identification post is used for carrying out identification to the personnel that get into the infrastructure scene, acquires personnel's basic data.
4. A personnel management and control method for a infrastructure site of a 5G network architecture is characterized by comprising the following steps:
firstly, identifying the identity of each person entering a infrastructure site through a site access control to obtain basic data of the person;
secondly, transmitting the personnel basic data to a monitoring background, and determining a personnel access area corresponding to each personnel entering the infrastructure site by the monitoring background according to the personnel basic data;
and step three, monitoring the action track of the personnel entering the infrastructure site through the field camera, sending an alarm signal to the corresponding safety equipment when the personnel entering the infrastructure site exceed the personnel access area, feeding back the position of the personnel in real time through the field camera, sending a stop alarm signal to the safety equipment by the monitoring background when the monitoring background detects that the personnel entering the infrastructure site return to the corresponding personnel access area, and stopping the alarm by the safety equipment.
5. The personnel management and control method for the infrastructure site based on the 5G network architecture according to claim 4, wherein the specific process of monitoring the action track of the personnel entering the infrastructure site through the site camera in the third step is as follows: dividing the video collected by the camera on site frame by frame, comparing each frame of video image obtained by division with the front and back two frames of video images, extracting the video image with image change, and the video image with image change is subjected to face detection to screen out a face video image to be recognized which at least comprises a face, extracting the human face features of the human face video image to be recognized, calculating the similarity of the extracted human face features and reference feature data corresponding to the human face information collected by all human face recognition columns, determining the personnel identity corresponding to the face in each frame of video image according to the similarity calculation result, collecting the video images judged to be the same personnel identity according to the acquisition time, then acquiring the number of the field camera corresponding to the acquired video image to determine the position of the field camera, and determining the action track of the person according to the position of the field camera and the video image acquisition time.
6. The personnel management and control method for the infrastructure site based on the 5G network architecture according to claim 4, wherein the specific process of determining the personnel access area according to the personnel basic data by the monitoring background in the second step is as follows: the monitoring background calls the infrastructure field work tasks on the same day, the personnel access areas of the infrastructure field are divided according to the infrastructure field work tasks on the same day, each infrastructure field work task corresponds to one personnel access area, the monitoring background determines the historical engineering task and the work type corresponding to each personnel entering the infrastructure field according to the personnel basic data, the task allocation of each personnel entering the infrastructure field on the same day is determined according to the historical engineering task and the work type corresponding to each personnel entering the infrastructure field, the task allocation of each personnel entering the infrastructure field on the same day is matched with the work task corresponding to each personnel access area by the monitoring background, and the personnel access areas of each personnel entering the infrastructure field are obtained.
7. The personnel management and control method for the infrastructure site based on the 5G network architecture is characterized in that in the first step, when identity recognition is carried out on each personnel entering the infrastructure site through a site access control, a safety device number corresponding to each personnel entering the infrastructure site is collected through the site access control, the safety device is bound with the corresponding personnel, when the personnel entering the infrastructure site exceed a personnel access area, a monitoring background extracts the safety device number corresponding to the personnel, and sends an alarm signal to the corresponding safety device through a 5G communication network according to the safety device number.
CN202111160642.4A 2021-09-30 2021-09-30 Infrastructure field personnel management and control system and method based on 5G network architecture Pending CN114120506A (en)

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CN116030560A (en) * 2023-02-27 2023-04-28 深圳市捷易科技有限公司 Identity authentication method based on artificial intelligence and entrance guard machine
CN117057588A (en) * 2023-10-11 2023-11-14 南方电网调峰调频发电有限公司信息通信分公司 Monitoring management method and system for operation and maintenance of power grid

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