CN113066214A - Access control system based on 5G network remote monitoring - Google Patents

Access control system based on 5G network remote monitoring Download PDF

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CN113066214A
CN113066214A CN202110328239.1A CN202110328239A CN113066214A CN 113066214 A CN113066214 A CN 113066214A CN 202110328239 A CN202110328239 A CN 202110328239A CN 113066214 A CN113066214 A CN 113066214A
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unit
information
equipment
task
characteristic
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CN113066214B (en
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谭业
陈仲才
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Shenzhen Boshengke Electronic Co ltd
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Shenzhen Boshengke Electronic Co ltd
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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
    • G07C9/25Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G07C9/253Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition visually
    • 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
    • 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
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention discloses an entrance guard system based on 5G network remote monitoring, which belongs to the field of 5G communication, relates to a remote monitoring technology, and is used for solving the problem that most of the existing entrance guard systems use fingerprints or entrance guard cards as secret keys for identification, are easy to break through on a technical level and cause potential safety hazards; satisfy the smart machine propelling movement discernment task of requirement in the circle to the flow screening through equipment access module, solved current access control system on the one hand and mostly all used fingerprint or entrance guard's card as the secret key of discernment, easily broken through on the technical aspect, cause the problem of potential safety hazard, on the other hand realizes 5G user's participation through the reward and feels.

Description

Access control system based on 5G network remote monitoring
Technical Field
The invention belongs to the field of 5G communication, relates to a remote monitoring technology, and particularly relates to an access control system based on 5G network remote monitoring.
Background
The entrance guard management system can control the entrance and exit of personnel, can also control the behavior of personnel in a building and a sensitive area, and accurately records and counts management data. The safety protection device mainly solves the safety problems of important places such as enterprises and public institutions, schools, communities, offices and the like. Control devices such as an access controller, a password keypad, etc. are installed at a building doorway, an elevator, etc. To gain access, the resident must have a card or enter the correct password, or press a special biometric password to gain access. The access control system can effectively manage the opening and closing of the door, ensure the free access of authorized personnel and limit the access of unauthorized personnel.
The existing access control system is mainly used for managing the entrances and exits of important departments and is an effective measure for realizing safety precaution management. The method is suitable for various important departments, such as banks, hotels, machine rooms, offices, factories, intelligent districts and the like. The working principle of the access control system is as follows: the method comprises the steps that firstly, information such as card numbers, door opening time, door opening authority and the like is downloaded to a memory of an access control system through corresponding software, when a card is swiped, the access control system judges the information such as the card numbers, the door opening authority, the validity period, whether to be lost or not, and the card meeting the conditions can be judged to be effective. After receiving the effective card number and the authority information, the access control system controller controls the electric control lock to be opened, the opening time of the electric control lock is related to the set opening time, and the door is opened within the set opening time effectively. After the time of opening the door, the electric control lock will close, will can't open the door this moment, need swipe the card again, but present access control system mostly all uses fingerprint or entrance guard's card as the secret key of discernment, is broken easily on technical level, causes the potential safety hazard.
Disclosure of Invention
The invention aims to provide an access control system based on 5G network remote monitoring, which is used for solving the problem that most of the existing access control systems use fingerprints or access control cards as identification keys, are easy to break through on the technical level and cause potential safety hazards.
The purpose of the invention can be realized by the following technical scheme:
an access control system based on 5G network remote monitoring comprises an area planning module, an equipment access module, a real-time transmission module and a remote monitoring module;
the area planning module is set to plan the area of the access control;
the equipment access module is set to carry out access connection on equipment in the access control planning region;
the real-time transmission module is set to transmit the accessed and connected equipment in real time;
the remote monitoring module is set to display the real-time transmission information in real time;
the remote monitoring module comprises an extraction unit, a comparison and verification unit and a pushing unit;
the extraction unit is used for acquiring entrance guard identification information and shooting data;
the comparison verification unit compares the entrance guard identification information with the shooting data through a comparison model and obtains a comparison result;
the pushing unit sends the comparison result to the entrance guard;
the contrast model comprises an acquisition layer, a modeling layer, a contrast layer and an output layer;
the acquisition layer is used for acquiring the access control identification information and the characteristic value of the shooting data;
the modeling layer respectively builds a task model and a recognition model according to the characteristic value of the entrance guard recognition information and the characteristic value of the shooting data;
the comparison layer is used for comparing the task model with the recognition model and obtaining a comparison result;
the output layer outputs the comparison result;
the modeling layer respectively builds a task model and a recognition model according to the characteristic value of the entrance guard recognition information and the characteristic value of the shooting data, and specifically builds a simulation recognizer model according to height information, gender information, clothes color information, footwear color information, vehicle license plate information and vehicle color information;
establishing a comparison recognizer model through the gender characteristic, the height characteristic, the clothes color characteristic, the footwear color characteristic, the vehicle license plate characteristic and the vehicle color characteristic;
and the sex characteristic, the height characteristic, the clothes color characteristic, the shoe color characteristic, the vehicle license plate characteristic and the vehicle color characteristic are obtained by analyzing the shot data through a convolutional neural network.
Furthermore, the area planning module comprises a positioning unit, a flow detection unit, a time node unit and a dynamic adjustment unit;
the positioning unit is used for acquiring the coordinate position of the access control, specifically, acquiring the installation coordinate point of the access control through a construction drawing;
the flow detection unit is used for acquiring a flow value near the installation coordinate point, specifically, the installation coordinate point is selected as a starting point, and the dynamic adjustment value is a radius, so that a flow screening ring is obtained;
acquiring the access quantity of the intelligent equipment in the flow screening circle, and marking the access quantity as a flow value;
the time node unit is used for recording the access quantity of the intelligent equipment in the current time flow screening circle and marking the access quantity as a time flow value;
the dynamic adjustment unit is used for acquiring a time flow value and the current time in the time node unit and acquiring a dynamic adjustment value through a time adjustment coefficient formula;
the time adjustment coefficient formula is as follows:
Figure BDA0002995409940000031
and the access number and the area value of the intelligent energy setting equipment preset in the current time period are preset adjustment coefficient values.
Further, the access number of the intelligent devices in the traffic screening circle is obtained, specifically, the connection number of the data transfer terminals in the traffic screening circle is obtained, the connection number with the screening connection mode of 5G connection is the access number of the intelligent devices, and the intelligent devices with the screening connection mode of 5G connection are marked as pre-selection devices;
the data transfer terminal comprises a signal base station, a communication satellite and a wireless router.
Furthermore, the device access module comprises a screening unit, a task issuing unit, a task collecting unit and a task rewarding unit;
the screening unit is used for screening the preselection equipment in the flow screening circle and obtaining task equipment, specifically, establishing data connection with the preselection equipment, obtaining use parameters of the preselection equipment, obtaining parameter values of the preselection equipment through a parameter formula, and selecting the preselection equipment with the parameter values of the preselection equipment higher than a threshold value in the current time as the task equipment;
the use parameters comprise the residual electric quantity of the pre-selection equipment, the transmission consumed electric quantity, the transmission rate, the residual memory purity and the shooting resolution;
the transmission power consumption is acquired by power consumption monitoring software in the pre-selection equipment;
the transmission rate is obtained through network speed monitoring software in pre-selection equipment;
the parameter formula is
Figure BDA0002995409940000041
The task issuing unit is used for acquiring entrance guard identification information, generating an identification task sheet and pushing the identification task sheet to the task equipment;
the entrance guard identification information comprises reservation identification time, reservation identification identity information and reservation identification supplementary information;
the reserved identification identity information is specifically identified person identity card information, gender information and height information;
the reservation identification supplementary information is specifically identified clothing color information, shoe color information, vehicle license plate information and vehicle color information of a person to be identified;
the identification task list comprises shooting time information, shooting characteristic information and shooting requirements;
the shooting time information is the same as the reservation identification time;
the shooting characteristic information comprises a gender characteristic, a height characteristic, a clothes color characteristic, a footwear color characteristic, a vehicle license plate characteristic and a vehicle color characteristic;
the task collection unit is used for acquiring shooting data of the task equipment, and the shooting data corresponds to the identification task single phase;
the issuing time of the identification task list is earlier than the reservation identification time in the entrance guard identification information, and the pushing is stopped 5 minutes before the reservation identification time;
the task rewarding unit is used for rewarding and issuing the task equipment which completes the identification task list;
the awards include telephone fees, vouchers, lottery tickets, virtual currency, item redemption tickets, and points.
Further, the real-time transmission module comprises a transmission unit, a backup unit and an emergency unit;
the transmission unit is used for transmitting the shooting data of the task equipment into the remote monitoring module through a 5G network;
the backup unit is used for backing up the shooting data of the task equipment for subsequent checking;
the emergency unit is used for acquiring the storage authority and the data transmission authority of the task equipment, when the transmission unit is attacked and cannot send the shooting data, the shooting data are sent to the remote monitoring module through the task equipment, and meanwhile, the emergency unit improves the issued reward. .
Compared with the prior art, the invention has the beneficial effects that:
(1) the area planning module comprises a positioning unit, a flow detection unit, a time node unit and a dynamic adjustment unit; the positioning unit is used for acquiring the coordinate position of the access control, specifically, acquiring the installation coordinate point of the access control through a construction drawing; the flow detection unit is used for acquiring a flow value near the installation coordinate point, specifically, the installation coordinate point is selected as a starting point, and the dynamic adjustment value is a radius, so that a flow screening ring is obtained; acquiring the access quantity of the intelligent equipment in the flow screening circle, and marking the access quantity as a flow value; the time node unit is used for recording the access quantity of the intelligent equipment in the current time flow screening circle and marking the access quantity as a time flow value; the dynamic adjusting unit is used for acquiring a time flow value and the current time in the time node unit, acquiring the dynamic adjusting value through a time adjusting coefficient formula, and intelligently selecting a proper flow screening ring according to different positions and different time periods of the access control system through the area planning module, so that reasonable selection is realized, and resource waste is avoided;
(2) the device access module comprises a screening unit, a task issuing unit, a task collecting unit and a task rewarding unit; the screening unit is used for screening the preselection equipment in the flow screening circle and obtaining task equipment, specifically, establishing data connection with the preselection equipment, obtaining use parameters of the preselection equipment, obtaining parameter values of the preselection equipment through a parameter formula, and selecting the preselection equipment with the parameter values of the preselection equipment higher than a threshold value in the current time as the task equipment; the use parameters comprise the residual electric quantity of the pre-selection equipment, the transmission consumed electric quantity, the transmission rate, the residual memory purity and the shooting resolution; the transmission power consumption is acquired by power consumption monitoring software in the pre-selection equipment; the transmission rate is obtained through network speed monitoring software in the preselection equipment; the task issuing unit is used for acquiring the entrance guard identification information, generating an identification task sheet and pushing the identification task sheet to the task equipment; the entrance guard identification information comprises reservation identification time, reservation identification identity information and reservation identification supplementary information; the reserved identification identity information is specifically identified person identity card information, gender information and height information; the reservation identification supplementary information is specifically identified clothing color information, footwear color information, vehicle license plate information and vehicle color information of the person to be identified; the identification task list comprises shooting time information, shooting characteristic information and shooting requirements; the shooting time information is the same as the reservation identification time; the shooting characteristic information comprises a gender characteristic, a height characteristic, a clothes color characteristic, a footwear color characteristic, a vehicle license plate characteristic and a vehicle color characteristic; the task collection unit is used for acquiring shooting data of the task equipment, and the shooting data corresponds to the identification task in a single phase; the issuing time of the identification task list is earlier than the reservation identification time in the entrance guard identification information, and the pushing is stopped 5 minutes before the reservation identification time; the task rewarding unit is used for rewarding and issuing the task equipment which completes the identification task list; the reward includes telephone fee, voucher, lottery ticket, virtual currency, article exchange voucher and total mark, through the smart machine propelling movement discernment task that equipment access module satisfies the requirement to flow screening circle, solved current access control system on the one hand and used fingerprint or entrance guard's card as the secret key of discernment mostly, easily broken by the attack on the technical aspect, cause the problem of potential safety hazard, on the other hand, realize 5G user's participation through the reward and feel.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the detailed description of the embodiments of the present invention provided in the following drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention.
As shown in fig. 1, an access control system based on 5G network remote monitoring includes an area planning module, an equipment access module, a real-time transmission module, and a remote monitoring module;
the area planning module is set to plan the access control area;
the equipment access module is set to carry out access connection on the equipment in the access control planning region;
the real-time transmission module is set to transmit the accessed and connected equipment in real time;
the remote monitoring module is set to display the real-time transmission information in real time.
The following is a detailed explanation of the present invention with reference to specific examples.
In further specific implementation, the area planning module comprises a positioning unit, a flow detection unit, a time node unit and a dynamic adjustment unit;
the positioning unit is used for acquiring the coordinate position of the access control, specifically, acquiring the installation coordinate point of the access control through a construction drawing; the construction drawing is obtained by a construction unit.
The flow detection unit is used for acquiring a flow value near the installation coordinate point, specifically, the installation coordinate point is selected as a starting point, and the dynamic adjustment value is a radius, so that a flow screening ring is obtained;
acquiring the access quantity of the intelligent equipment in the flow screening circle, and marking the access quantity as a flow value;
the time node unit is used for recording the access quantity of the intelligent equipment in the current time flow screening circle and marking the access quantity as a time flow value;
the dynamic adjustment unit is used for acquiring a time flow value and the current time in the time node unit and acquiring a dynamic adjustment value through a time adjustment coefficient formula;
the time adjustment coefficient formula is as follows:
Figure BDA0002995409940000081
the access number and the area value of the intelligent energy setting equipment are preset adjustment coefficient values in the current time period;
the preset coefficients are as described in a preset table:
watch-presetting watch
Figure BDA0002995409940000082
Figure BDA0002995409940000091
Acquiring the access number of intelligent equipment in a flow screening circle, specifically acquiring the connection number of data transfer terminals in the flow screening circle, wherein the connection number of 5G connection in a screening connection mode is the access number of the intelligent equipment, and marking the intelligent equipment with the 5G connection in the screening connection mode as pre-selection equipment; the data transfer terminal comprises a signal base station, a communication satellite and a wireless router.
Specifically, the smart device may be a mobile phone, a notebook, a tablet, an unmanned aerial vehicle, or the like, and the invention does not require specifically here.
The device access module comprises a screening unit, a task issuing unit, a task collecting unit and a task rewarding unit;
the screening unit is used for screening the preselection equipment in the flow screening circle and obtaining task equipment, specifically, establishing data connection with the preselection equipment, obtaining use parameters of the preselection equipment, obtaining parameter values of the preselection equipment through a parameter formula, and selecting the preselection equipment with the parameter values of the preselection equipment higher than a threshold value in the current time as the task equipment;
specifically, the use parameters include the remaining power of the pre-selection device, the transmission power consumption, the transmission rate, the remaining memory purity and the shooting resolution;
when the implementation is repeated, the transmission power consumption is acquired through power consumption monitoring software in the pre-selection equipment;
when the implementation is repeated, the transmission rate is obtained through network speed monitoring software in the pre-selection equipment;
specifically, the parameter formula is
Figure BDA0002995409940000092
The task issuing unit is used for acquiring the entrance guard identification information, generating an identification task sheet and pushing the identification task sheet to the task equipment;
the entrance guard identification information comprises reservation identification time, reservation identification identity information and reservation identification supplementary information;
the reserved identification identity information is specifically identified person identity card information, gender information and height information; the entrance guard identification information is uploaded to an entrance guard system by the identified person 1 day before the reservation identification time, and can be modified 5 minutes before the reservation identification time.
The reservation identification supplementary information is specifically identified clothing color information, footwear color information, vehicle license plate information and vehicle color information of the person to be identified;
the identification task list comprises shooting time information, shooting characteristic information and shooting requirements;
in the case of a more specific implementation, the shooting request includes all the information in the shooting characteristic information.
The shooting time information is the same as the reservation identification time;
the shooting characteristic information comprises a gender characteristic, a height characteristic, a clothes color characteristic, a footwear color characteristic, a vehicle license plate characteristic and a vehicle color characteristic;
the task collection unit is used for acquiring shooting data of the task equipment, and the shooting data corresponds to the identification task in a single phase;
during the concrete implementation, after the identification task list is claimed by the task equipment, the task issuing unit stops pushing the identification task list;
the issuing time of the identification task list is earlier than the reservation identification time in the entrance guard identification information, when the identification task list is not claimed 5 minutes before the reservation identification time, the task issuing unit stops pushing, and at the moment, the early warning information is generated and sent to a corresponding personnel department of the entrance guard system for manual verification.
Specifically, the task rewarding unit is used for rewarding and issuing the task equipment which completes the identification of the task list;
the awards include telephone fees, vouchers, lottery tickets, virtual currency, item redemption tickets, and points.
The real-time transmission module comprises a transmission unit, a backup unit and an emergency unit;
specifically, the transmission unit is used for transmitting the shooting data of the task equipment into the remote monitoring module through a 5G network;
the backup unit is used for backing up the shooting data of the task equipment for subsequent checking;
the emergency unit is used for acquiring the storage authority and the data transmission authority of the task equipment, when the transmission unit is attacked and cannot send the shooting data, the shooting data is sent to the remote monitoring module through the task equipment, and meanwhile, the emergency unit improves the issued reward.
Specifically, the remote monitoring module comprises an extraction unit, a comparison and verification unit and a pushing unit;
the extraction unit is used for acquiring entrance guard identification information and shooting data;
the comparison verification unit compares the entrance guard identification information with the shooting data through a comparison model and obtains a comparison result;
specifically, the comparison model comprises an acquisition layer, a modeling layer, a comparison layer and an output layer;
the acquisition layer is used for acquiring the access control identification information and the characteristic value of the shooting data;
the modeling layer respectively builds a task model and a recognition model according to the characteristic value of the entrance guard recognition information and the characteristic value of the shooting data;
specifically, a simulation recognizer model is established through height information, gender information, clothes color information, footwear color information, vehicle license plate information and vehicle color information;
establishing a comparison recognizer model through the gender characteristic, the height characteristic, the clothes color characteristic, the footwear color characteristic, the vehicle license plate characteristic and the vehicle color characteristic;
the sex characteristic, the height characteristic, the clothes color characteristic, the shoe color characteristic, the vehicle license plate characteristic and the vehicle color characteristic are obtained by analyzing the shot data through a convolutional neural network.
In yet another specific implementation, the convolutional neural network comprises: an external memory for storing an image to be processed; the direct access unit is connected with the external memory and used for reading the image to be processed and transmitting the read data to the control unit; the control unit is connected with the direct access unit and used for storing data into the internal memory; the internal memory is connected with the control unit and used for caching data; and the operation unit is connected with the internal memory and is used for reading data from the internal memory and performing convolution pooling operation. The number of arithmetic units is at least two. Under the condition that all the operation units are connected in a cascade structure, the data of the nth layer is cached in an internal memory after being subjected to convolution pooling operation of the nth operation unit, the data after operation is taken out by the (n + 1) th operation unit, and the convolution pooling operation of the (n + 1) th layer is carried out, wherein n is a positive integer. Under the condition that the operation units are connected in a parallel structure, the operation units respectively process partial images of the image to be processed, and the operation units adopt the same convolution kernel to carry out parallel convolution pooling operation. Under the condition that the operation units are connected in a parallel structure, the operation units respectively extract different features of the image to be processed, and the operation units adopt different convolution kernels to perform parallel convolution pooling operation. In the case where the number of the operation units is two, the two operation units extract contour information and detail information of the image to be processed, respectively. The arithmetic unit comprises a convolution arithmetic unit, a pooling arithmetic unit, a buffer unit and a buffer control unit. The convolution operation unit is used for carrying out convolution operation on the data and transmitting an obtained convolution result to the pooling operation unit; the pooling operation unit is connected with the convolution operation unit and used for performing pooling operation on the convolution result and storing the obtained pooling result into the buffer unit; and the buffer control unit is used for storing the pooling result into the internal memory through the buffer unit or into the external memory through the direct access unit. The external memory includes at least one of: double-rate synchronous dynamic random access memory and synchronous dynamic random access memory. The internal memory includes a static memory array including a plurality of static memories each for storing different data.
The comparison layer is used for comparing the task model with the recognition model and obtaining a comparison result;
and the output layer outputs the comparison result.
The pushing unit sends the comparison result to the entrance guard.
When the comparison result is qualified, the comparison result is unqualified, and when the comparison result is qualified, the access control system completes identification and allows access;
when the comparison result is that the comparison is not qualified, the access control system completes recognition, does not allow access, generates alarm information and sends the alarm information to the security department corresponding to the access control system.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and there may be other divisions when the actual implementation is performed; the modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
It will also be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.

Claims (5)

1. An access control system based on 5G network remote monitoring is characterized by comprising an area planning module, an equipment access module, a real-time transmission module and a remote monitoring module;
the area planning module is set to plan the area of the access control;
the equipment access module is set to carry out access connection on equipment in the access control planning region;
the real-time transmission module is set to transmit the accessed and connected equipment in real time;
the remote monitoring module is set to display the real-time transmission information in real time;
the remote monitoring module comprises an extraction unit, a comparison and verification unit and a pushing unit;
the extraction unit is used for acquiring entrance guard identification information and shooting data;
the comparison verification unit compares the entrance guard identification information with the shooting data through a comparison model and obtains a comparison result;
the pushing unit sends the comparison result to the entrance guard;
the contrast model comprises an acquisition layer, a modeling layer, a contrast layer and an output layer;
the acquisition layer is used for acquiring the access control identification information and the characteristic value of the shooting data;
the modeling layer respectively builds a task model and a recognition model according to the characteristic value of the entrance guard recognition information and the characteristic value of the shooting data;
the comparison layer is used for comparing the task model with the recognition model and obtaining a comparison result;
the output layer outputs the comparison result;
the modeling layer respectively builds a task model and a recognition model according to the characteristic value of the entrance guard recognition information and the characteristic value of the shooting data, and specifically builds a simulation recognizer model according to height information, gender information, clothes color information, footwear color information, vehicle license plate information and vehicle color information;
establishing a comparison recognizer model through the gender characteristic, the height characteristic, the clothes color characteristic, the footwear color characteristic, the vehicle license plate characteristic and the vehicle color characteristic;
and the sex characteristic, the height characteristic, the clothes color characteristic, the shoe color characteristic, the vehicle license plate characteristic and the vehicle color characteristic are obtained by analyzing the shot data through a convolutional neural network.
2. The 5G network remote monitoring-based access control system according to claim 1, wherein the area planning module comprises a positioning unit, a flow detection unit, a time node unit and a dynamic adjustment unit;
the positioning unit is used for acquiring the coordinate position of the access control, specifically, acquiring the installation coordinate point of the access control through a construction drawing;
the flow detection unit is used for acquiring a flow value near the installation coordinate point, specifically, the installation coordinate point is selected as a starting point, and the dynamic adjustment value is a radius, so that a flow screening ring is obtained;
acquiring the access quantity of the intelligent equipment in the flow screening circle, and marking the access quantity as a flow value;
the time node unit is used for recording the access quantity of the intelligent equipment in the current time flow screening circle and marking the access quantity as a time flow value;
the dynamic adjustment unit is used for acquiring a time flow value and the current time in the time node unit and acquiring a dynamic adjustment value through a time adjustment coefficient formula;
the time adjustment coefficient formula is as follows:
Figure FDA0002995409930000021
and the access number and the area value of the intelligent energy setting equipment preset in the current time period are preset adjustment coefficient values.
3. The access control system based on the 5G network remote monitoring of claim 2, wherein the access number of the intelligent devices in the flow screening circle is obtained, specifically, the connection number of the data transfer terminals in the flow screening circle is obtained, the connection number with the screening connection mode of 5G connection is the access number of the intelligent devices, and the intelligent devices with the connection mode of 5G connection are marked as pre-selection devices;
the data transfer terminal comprises a signal base station, a communication satellite and a wireless router.
4. The 5G network remote monitoring-based access control system according to claim 1, wherein the device access module comprises a screening unit, a task issuing unit, a task collecting unit and a task rewarding unit;
the screening unit is used for screening the preselection equipment in the flow screening circle and obtaining task equipment, specifically, establishing data connection with the preselection equipment, obtaining use parameters of the preselection equipment, obtaining parameter values of the preselection equipment through a parameter formula, and selecting the preselection equipment with the parameter values of the preselection equipment higher than a threshold value in the current time as the task equipment;
the use parameters comprise the residual electric quantity of the pre-selection equipment, the transmission consumed electric quantity, the transmission rate, the residual memory purity and the shooting resolution;
the transmission power consumption is acquired by power consumption monitoring software in the pre-selection equipment;
the transmission rate is obtained through network speed monitoring software in pre-selection equipment;
the above-mentioned
Figure FDA0002995409930000031
The task issuing unit is used for acquiring entrance guard identification information, generating an identification task sheet and pushing the identification task sheet to the task equipment;
the entrance guard identification information comprises reservation identification time, reservation identification identity information and reservation identification supplementary information;
the reserved identification identity information is specifically identified person identity card information, gender information and height information;
the reservation identification supplementary information is specifically identified clothing color information, shoe color information, vehicle license plate information and vehicle color information of a person to be identified;
the identification task list comprises shooting time information, shooting characteristic information and shooting requirements;
the shooting time information is the same as the reservation identification time;
the shooting characteristic information comprises a gender characteristic, a height characteristic, a clothes color characteristic, a footwear color characteristic, a vehicle license plate characteristic and a vehicle color characteristic;
the task collection unit is used for acquiring shooting data of the task equipment, and the shooting data corresponds to the identification task single phase;
the issuing time of the identification task list is earlier than the reservation identification time in the entrance guard identification information, and the pushing is stopped 5 minutes before the reservation identification time;
the task rewarding unit is used for rewarding and issuing the task equipment which completes the identification task list;
the awards include telephone fees, vouchers, lottery tickets, virtual currency, item redemption tickets, and points.
5. The 5G network remote monitoring-based access control system according to claim 1, wherein the real-time transmission module comprises a transmission unit, a backup unit and an emergency unit;
the transmission unit is used for transmitting the shooting data of the task equipment into the remote monitoring module through a 5G network;
the backup unit is used for backing up the shooting data of the task equipment for subsequent checking;
the emergency unit is used for acquiring the storage authority and the data transmission authority of the task equipment, when the transmission unit is attacked and cannot send the shooting data, the shooting data are sent to the remote monitoring module through the task equipment, and meanwhile, the emergency unit improves the issued reward.
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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020133725A1 (en) * 2001-03-14 2002-09-19 Roy Ronald B. Biometric access control and time and attendance network including configurable system-on-chip (CSOC) processors with embedded programmable logic
CN106295790A (en) * 2016-08-25 2017-01-04 浙江宇视科技有限公司 A kind of method and device being carried out destination number statistics by video camera
CN106803933A (en) * 2017-02-22 2017-06-06 成都华安视讯科技有限公司 Can be used for the camera system and image capture method of the unification monitoring of people's car
CN106803301A (en) * 2017-03-28 2017-06-06 广东工业大学 A kind of recognition of face guard method and system based on deep learning
CN107483889A (en) * 2017-08-24 2017-12-15 北京融通智慧科技有限公司 The tunnel monitoring system of wisdom building site control platform
CN107545627A (en) * 2016-10-25 2018-01-05 郑州蓝视科技有限公司 Gate inhibition's open method based on video monitoring
CN107872646A (en) * 2016-09-26 2018-04-03 河南星云慧通信技术有限公司 Plant area's safety classification video frequency monitoring method
CN109300200A (en) * 2018-04-15 2019-02-01 珠海市华清创新科技有限公司 A kind of artificial intelligence visitor management system with face recognition
CN109840979A (en) * 2019-03-27 2019-06-04 刘强 A kind of Internet of Things cell wisdom access control system
CN110599657A (en) * 2019-09-30 2019-12-20 浙江树人学院(浙江树人大学) Access control monitoring system and method based on image recognition technology
CN111402476A (en) * 2020-06-05 2020-07-10 深圳市脉联电子有限公司 Community epidemic prevention safety method based on machine learning

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020133725A1 (en) * 2001-03-14 2002-09-19 Roy Ronald B. Biometric access control and time and attendance network including configurable system-on-chip (CSOC) processors with embedded programmable logic
CN106295790A (en) * 2016-08-25 2017-01-04 浙江宇视科技有限公司 A kind of method and device being carried out destination number statistics by video camera
CN107872646A (en) * 2016-09-26 2018-04-03 河南星云慧通信技术有限公司 Plant area's safety classification video frequency monitoring method
CN107545627A (en) * 2016-10-25 2018-01-05 郑州蓝视科技有限公司 Gate inhibition's open method based on video monitoring
CN106803933A (en) * 2017-02-22 2017-06-06 成都华安视讯科技有限公司 Can be used for the camera system and image capture method of the unification monitoring of people's car
CN106803301A (en) * 2017-03-28 2017-06-06 广东工业大学 A kind of recognition of face guard method and system based on deep learning
CN107483889A (en) * 2017-08-24 2017-12-15 北京融通智慧科技有限公司 The tunnel monitoring system of wisdom building site control platform
CN109300200A (en) * 2018-04-15 2019-02-01 珠海市华清创新科技有限公司 A kind of artificial intelligence visitor management system with face recognition
CN109840979A (en) * 2019-03-27 2019-06-04 刘强 A kind of Internet of Things cell wisdom access control system
CN110599657A (en) * 2019-09-30 2019-12-20 浙江树人学院(浙江树人大学) Access control monitoring system and method based on image recognition technology
CN111402476A (en) * 2020-06-05 2020-07-10 深圳市脉联电子有限公司 Community epidemic prevention safety method based on machine learning

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