Building access control linkage disposal system

Through intelligent analysis mode and radial-based neural network model, the number of visitors is predicted, and the linkage between face verification and access control is automatically adjusted, which solves the problem that the efficiency and silent needs of the intelligent building intercom system are difficult to take into account when the number of visitors fluctuates, and achieves more efficient and quieter visitor management.

CN119229561APending Publication Date: 2024-12-31NANJING ZHENGGUANSHI ELECTRONIC TECHNOLOGY CO LTD
View PDF 6 Cites 0 Cited by

Patent Information

Application Number
CN202411414518.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-11
Publication Date
2024-12-31

AI Technical Summary

Technical Problem

When handling fluctuations in the number of visitors, it is difficult for the existing intelligent building intercom access control system to automatically adjust the linkage between face verification and access control opening, which makes it difficult to take into account both work efficiency and mute requirements.

Method used

Using intelligent analysis mode combined with radial-based neural network model, the number of visitors in the upcoming time segment is predicted, and the linkage between face verification and access control is activated or turned off when the number of predictions is too large or small, respectively, by introducing multiple The basic information of the item ensures the stability and reliability of the analysis results.

Benefits of technology

Improves the efficiency of passing when the number of visitors is high, and reduces face verification sound when the number is small, achieving more efficient visitor management and a quieter environment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119229561A_ABST
    Figure CN119229561A_ABST
Patent Text Reader

Abstract

The invention relates to a building entrance guard linkage processing system, which comprises an electronic control part connected with a face verification part of a resident building entrance guard and used for starting linkage of face verification of the face verification part and entrance guard opening in a current time segment when receiving a visitor excessive signal, and otherwise, closing the linkage in the current time segment; and the signal conversion mechanism is used for sending a signal of excessive visitors when the number of visitors in the current time segment of the resident building obtained through intelligent analysis is greater than or equal to a set number threshold value. According to the invention, an intelligent analysis mode can be adopted to predict the number of visitors at the entrance guard of the resident building in the current time segment, and when the predicted number of visitors is too large, linkage of face verification and entrance guard opening of the face verification component is started in the current time segment, otherwise, linkage is closed, so that the access control of the resident building is realized. Therefore, the working efficiency and the mute requirement are both considered.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the field of building access control management, and in particular to a building access control linkage disposal system. Background Art

[0002] In modern society, building safety issues have attracted much attention. In order to improve the safety and convenience of buildings, the intelligent building intercom access control system came into being. The intelligent building intercom access control system combines the latest achievements of modern technology, and has become the first choice for building safety management today with its high efficiency and intelligence. The intelligent building intercom access control system uses modern technology to improve building safety, ensures the identity of people entering and leaving through high-definition cameras and face recognition technology, and monitors and records suspicious behavior in real time. The system facilitates residents' lives, supports remote door opening and visitor access via mobile phone APP, and also has functions such as smart home control and video calls, providing data support for building management.

[0003] However, there are still some details in building access control management that need to be optimized and improved. For example, the management expects to enable the more efficient face verification component to improve the efficiency of passage when there are a large number of visitors, and realize the automatic opening of face scanning and access control to improve work efficiency. At this time, the sound of face scanning and scanning result reminders will not be abrupt. At the same time, it is expected to turn off the face verification component with more sound when there are fewer visitors and use the manual verification mode to reduce the relatively abrupt face scanning and scanning result reminder sound playback. However, it is difficult to predict the number of visitors to the building in each time segment in the future. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a building access control linkage disposal system, which predicts the number of visitors to the residential building access control in the upcoming current time segment by adopting an intelligent analysis mode, and when the predicted number of visitors is too large, the face verification of the face verification component and the linkage of the access control opening are started in the current time segment, otherwise, the face verification of the face verification component and the linkage of the access control opening are turned off in the current time segment, so that when the number of visitors is small, the face verification component with more sound is turned off to use the manual verification mode, and when the number of visitors is large, the face verification component with higher working efficiency is turned on to improve the passage efficiency. Among them, a radial basis function neural network model is used to perform intelligent analysis and processing. The radial basis function neural network model is a radial basis function neural network after each training action. The number of training actions of the radial basis function neural network is monotonically positively correlated with the number of residents in the residential building, so that radial basis function neural network models with different structures are customized for different residential buildings, and sufficient and comprehensive basic information is introduced for intelligent analysis and processing, including the time length of the current time segment, the entry and exit information of the residential building in the past days and the same time segment as the current time segment, and multiple related data of the residential building, thereby ensuring the stability and reliability of the intelligent analysis results.

[0005] According to the present invention, a building access control linkage disposal system is provided, the system comprising: An electronic control component is connected to a face verification component of a residential building access control system, and is used to start the linkage between face verification and access control opening of the face verification component in a current time segment when a signal indicating too many visitors is received, and is also used to turn off the linkage between face verification and access control opening of the face verification component in a current time segment when a signal indicating too few visitors is received; A hierarchical analysis component is used to perform each training action on the radial basis neural network to obtain the radial basis neural network after each training action and output it as a radial basis neural network model, wherein the number of training actions of the radial basis neural network is monotonically positively correlated with the number of residents in the residential building; An information capture component is used to obtain each entry and exit information of the residential building in the same time segment as the current time segment on each past day. The single entry and exit information of the residential building in the same time segment as the current time segment on each past day is the number of visitors and the number of residents of the residential building in the same time segment as the current time segment on the past day; A building detection component, used for obtaining a plurality of associated data of a residential building, wherein the plurality of associated data of the residential building is the total number of residents of the residential building, the number of floors of the building and the total area of ​​each floor of the building; A content mapping mechanism is connected to the building detection component, the information capture component and the hierarchical analysis component respectively, and is used to use a radial basis neural network model to intelligently analyze the number of visitors and the number of residents in the residential building in the current time segment according to the time length of the current time segment, the various access information of the residential building in the same time segment as the current time segment in the past days, and multiple related data of the residential building; A signal conversion mechanism, connected to the electronic control component and the content mapping mechanism respectively, for sending a visitor-excessive signal to the electronic control component when the number of visitors to the residential building in the current time segment obtained by intelligent analysis is greater than or equal to a set number threshold; The signal conversion mechanism is also used to send a visitor-less signal to the electronic control component when the number of visitors to the residential building in the current time segment obtained by intelligent analysis is less than the set number threshold; Among them, each entry and exit information of the residential building in the same time segment as the current time segment on each past day is obtained. The single entry and exit information of the residential building in the same time segment as the current time segment on each past day is the number of visitors and the number of residents in the residential building in the same time segment as the current time segment on the past day, including: the position of the same time segment as the current time segment on each past day on the time axis is the same as the position of the current time segment on the time axis of the day.

[0006] It can be seen that the present invention has at least the following three main inventive concepts: First: Use intelligent analysis mode to predict the number of visitors to the residential building access control in the upcoming current time segment, and when the predicted number of visitors is too large, start the linkage between the face verification component and the access control opening in the current time segment; otherwise, turn off the linkage between the face verification component and the access control opening in the current time segment, so that when the number of visitors is small, turn off the face verification component with more noise to use the manual verification mode, and turn on the face verification component with higher work efficiency to improve the passage efficiency when the number of visitors is large; Second, a radial basis neural network model is used to perform intelligent analysis and processing. The radial basis neural network model is a radial basis neural network after each training action. The number of training actions of the radial basis neural network is monotonically positively correlated with the number of residents in the residential building, so as to customize radial basis neural network models with different structures for different residential buildings. Third: Introduce sufficient and comprehensive basic information for intelligent analysis and processing, including the length of the current time segment, the entry and exit information of residential buildings in the same time segment as the current time segment in the past days, and multiple related data of residential buildings, thereby ensuring the stability and reliability of the intelligent analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 It is a structural block diagram of a building access control linkage disposal system according to the primary embodiment of the present invention.

[0008] Figure 2 It is a structural block diagram of a building access control linkage disposal system according to a secondary embodiment of the present invention.

[0009] Figure 3 The present invention is a block diagram of the structure of a building access control linkage disposal system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0010] The following is a detailed description of an embodiment of the building access control linkage disposal system of the present invention with reference to the accompanying drawings.

[0011] Figure 1 The structure block diagram of the building access control linkage disposal system according to the primary embodiment of the present invention is shown, and the system includes: An electronic control component is connected to a face verification component of a residential building access control system, and is used to start the linkage between face verification and access control opening of the face verification component in a current time segment when a signal indicating too many visitors is received, and is also used to turn off the linkage between face verification and access control opening of the face verification component in a current time segment when a signal indicating too few visitors is received; Specifically, the electronic control component is connected to the face verification component of the residential building access control, and is used to start the linkage between the face verification of the face verification component and the opening of the access control within the current time segment when receiving a signal that there are too many visitors, and is also used to close the linkage between the face verification of the face verification component and the opening of the access control within the current time segment when receiving a signal that there are fewer visitors. The electronic control component can be implemented by a programmable logic device, and is connected to the face verification component of the residential building access control, and is used to start the linkage between the face verification of the face verification component and the opening of the access control within the current time segment when receiving a signal that there are too many visitors, and is also used to close the linkage between the face verification of the face verification component and the opening of the access control within the current time segment when receiving a signal that there are fewer visitors; A hierarchical analysis component is used to perform each training action on the radial basis neural network to obtain the radial basis neural network after each training action and output it as a radial basis neural network model, wherein the number of training actions of the radial basis neural network is monotonically positively correlated with the number of residents in the residential building; An information capture component is used to obtain each entry and exit information of the residential building in the same time segment as the current time segment on each past day. The single entry and exit information of the residential building in the same time segment as the current time segment on each past day is the number of visitors and the number of residents of the residential building in the same time segment as the current time segment on the past day; A building detection component, used for obtaining a plurality of associated data of a residential building, wherein the plurality of associated data of the residential building is the total number of residents of the residential building, the number of floors of the building and the total area of ​​each floor of the building; A content mapping mechanism is connected to the building detection component, the information capture component and the hierarchical analysis component respectively, and is used to use a radial basis neural network model to intelligently analyze the number of visitors and the number of residents in the residential building in the current time segment according to the time length of the current time segment, the various access information of the residential building in the same time segment as the current time segment in the past days, and multiple related data of the residential building; A signal conversion mechanism, connected to the electronic control component and the content mapping mechanism respectively, for sending a visitor-excessive signal to the electronic control component when the number of visitors to the residential building in the current time segment obtained by intelligent analysis is greater than or equal to a set number threshold; The signal conversion mechanism is also used to send a visitor-less signal to the electronic control component when the number of visitors to the residential building in the current time segment obtained by intelligent analysis is less than the set number threshold; Among them, each entry and exit information of the residential building in the same time segment as the current time segment in the past days is obtained, and the single entry and exit information of the residential building in the same time segment as the current time segment in each past day is the number of visitors and the number of residents in the residential building in the same time segment as the current time segment in the past day, including: the position of the same time segment as the current time segment on the time axis of each past day is the same as the position of the current time segment on the time axis of the current day; The hierarchical analysis component is used to perform each training action on the radial basis neural network to obtain the radial basis neural network after each training action and output it as a radial basis neural network model, and the number of training actions of the radial basis neural network is monotonically positively correlated with the number of residents in the residential building, including: using a numerical mapping function to represent the numerical mapping relationship of the monotonically positive correlation between the number of training actions of the radial basis neural network and the number of residents in the residential building; Among them, the hierarchical analysis component is used to perform each training action on the radial basis neural network to obtain the radial basis neural network after each training action and output it as a radial basis neural network model, and the number of training actions of the radial basis neural network is monotonically positively correlated with the number of residents in the residential building, including: in the numerical mapping function, the number of residents in the residential building is an input parameter, and the number of training actions of the radial basis neural network is an output parameter.

[0012] Figure 2 It is a structural block diagram of a building access control linkage disposal system according to a secondary embodiment of the present invention.

[0013] Compared to Figure 1 , Figure 2 The building access control linkage disposal system can also include: A current sensor device is connected to the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, respectively, and is used to measure the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component respectively; Wherein, the current sensor device is respectively connected with the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, and is used to respectively measure the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, including: the current sensor device includes a plurality of current measurement units, which are respectively connected with the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, so as to complete the measurement of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, respectively; Wherein, the current sensor device includes a plurality of current measuring units, which are used to be respectively connected with the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component to complete the respective measurement of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, including: the plurality of current measuring units are a plurality of current sensing circuits, which are used to be respectively connected with the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component to complete the respective measurement of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component; Wherein, the multiple current measurement units are multiple current sensing circuits, which are used to be connected to the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component respectively, so as to complete the measurement of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component respectively, including: the structures of the multiple current sensing circuits are the same; Among them, the multiple current measurement units are multiple current sensing circuits, which are used to be connected to the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component respectively, so as to complete the respective measurements of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, and also include: the multiple current sensing circuits have the same current measurement upper limit value and current measurement lower limit value.

[0014] Figure 3 The present invention is a block diagram of the structure of a building access control linkage disposal system according to another embodiment of the present invention.

[0015] Compared to Figure 1 , Figure 3 The building access control linkage disposal system can also include: A real-time display component, connected to the multiple current sensing circuits of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, respectively, for displaying the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component in real time; Wherein, the real-time display component is respectively connected to the multiple current sensing circuits of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, and is used to display the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component in real time, including: the real-time display component is an LED display array composed of multiple LED display units; Among them, the real-time display component is respectively connected to multiple current sensing circuits of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, and is used to display the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component in real time, including: the real-time display component is an LCD display array composed of multiple LCD display units.

[0016] In addition, in the building access control linkage disposal system, a radial basis function neural network model is used to intelligently analyze the number of visitors and residents in the residential building in the current time segment according to the time length of the current time segment, the entry and exit information of the residential building in the past days in the same time segment as the current time segment, and multiple related data of the residential building, including: inputting the time length of the current time segment, the entry and exit information of the residential building in the past days in the same time segment as the current time segment, and multiple related data of the residential building into the radial basis function neural network model to run the radial basis function neural network model, and obtaining the number of visitors and residents in the residential building in the current time segment output by the radial basis function neural network model.

[0017] The building access control linkage disposal system of the present invention is used to address the technical problem in the prior art that building access control cannot take into account both work efficiency and quiet requirements. Through a customized structured artificial intelligence model, an intelligent analysis mode is used to predict the number of visitors to the residential building access control in the upcoming current time segment. When the predicted number of visitors is too large, the face verification component is started to link with the access control opening in the current time segment. Otherwise, the linkage is closed, thereby solving the above technical problem.

[0018] Although preferred embodiments of the present invention have been described in detail above, it will be appreciated that numerous variations and / or modifications to the basic inventive concepts taught herein will be apparent to those skilled in the art and fall within the spirit and scope of the invention as defined by the appended claims.

Claims

1. A building access control linkage disposal system, characterized in that: The system comprises: An electronic control component is connected to a face verification component of a residential building access control system, and is used to start the linkage between face verification and access control opening of the face verification component in a current time segment when a signal indicating too many visitors is received, and is also used to turn off the linkage between face verification and access control opening of the face verification component in a current time segment when a signal indicating too few visitors is received; A hierarchical analysis component is used to perform each training action on the radial basis neural network to obtain the radial basis neural network after each training action and output it as a radial basis neural network model, wherein the number of training actions of the radial basis neural network is monotonically positively correlated with the number of residents in the residential building; An information capture component is used to obtain each entry and exit information of the residential building in the same time segment as the current time segment on each past day. The single entry and exit information of the residential building in the same time segment as the current time segment on each past day is the number of visitors and the number of residents of the residential building in the same time segment as the current time segment on the past day; A building detection component, used for obtaining a plurality of associated data of a residential building, wherein the plurality of associated data of the residential building is the total number of residents of the residential building, the number of floors of the building and the total area of ​​each floor of the building; A content mapping mechanism is connected to the building detection component, the information capture component and the hierarchical analysis component respectively, and is used to use a radial basis neural network model to intelligently analyze the number of visitors and the number of residents in the residential building in the current time segment according to the time length of the current time segment, the various access information of the residential building in the same time segment as the current time segment in the past days, and multiple related data of the residential building; A signal conversion mechanism, connected to the electronic control component and the content mapping mechanism respectively, for sending a visitor-excessive signal to the electronic control component when the number of visitors to the residential building in the current time segment obtained by intelligent analysis is greater than or equal to a set number threshold; The signal conversion mechanism is also used to send a visitor-less signal to the electronic control component when the number of visitors to the residential building in the current time segment obtained by intelligent analysis is less than the set number threshold; Among them, each entry and exit information of the residential building in the same time segment as the current time segment on each past day is obtained. The single entry and exit information of the residential building in the same time segment as the current time segment on each past day is the number of visitors and the number of residents in the residential building in the same time segment as the current time segment on the past day, including: the position of the same time segment as the current time segment on each past day on the time axis is the same as the position of the current time segment on the time axis of the day.

2. The building access control linkage disposal system according to claim 1, characterized in that: A hierarchical analysis component is used to perform each training action on the radial basis neural network to obtain the radial basis neural network after each training action and output it as a radial basis neural network model, wherein the number of training actions of the radial basis neural network is monotonically positively associated with the number of residents in the residential building, including: using a numerical mapping function to represent the numerical mapping relationship of the monotonically positive correlation between the number of training actions of the radial basis neural network and the number of residents in the residential building; Among them, the hierarchical analysis component is used to perform each training action on the radial basis neural network to obtain the radial basis neural network after each training action and output it as a radial basis neural network model, and the number of training actions of the radial basis neural network is monotonically positively correlated with the number of residents in the residential building, including: in the numerical mapping function, the number of residents in the residential building is an input parameter, and the number of training actions of the radial basis neural network is an output parameter.

3. The building access control linkage disposal system as claimed in claim 2, characterized in that: The system further comprises: A current sensor device is connected to the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, respectively, and is used to measure the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component respectively; Among them, the current sensing device is respectively connected to the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, and is used to respectively measure the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component. The current sensing device includes multiple current measurement units, which are respectively connected to the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component to complete the measurement of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component.

4. The building access control linkage disposal system as claimed in claim 3, characterized in that: The current sensing device includes a plurality of current measuring units, which are used to respectively connect with the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component to complete the respective measurement of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, including: the plurality of current measuring units are a plurality of current sensing circuits, which are used to respectively connect with the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component to complete the respective measurement of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component.

5. The building access control linkage disposal system as claimed in claim 4, characterized in that: The multiple current measuring units are multiple current sensing circuits, which are used to be connected to the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component respectively, so as to complete the respective measurements of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, including: the structures of the multiple current sensing circuits are the same.

6. The building access control linkage disposal system as claimed in claim 5, characterized in that: The multiple current measurement units are multiple current sensing circuits, which are used to be connected to the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component respectively, so as to complete the respective measurements of the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component. It also includes: the multiple current sensing circuits have the same current measurement upper limit value and current measurement lower limit value.

7. The building access control linkage disposal system as claimed in claim 2, characterized in that: The system further comprises: A real-time display component is respectively connected to multiple current sensing circuits of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, and is used to display the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component in real time.

8. The building access control linkage disposal system as claimed in claim 7, characterized in that: A real-time display component is respectively connected to multiple current sensing circuits of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, and is used to display the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component in real time. The real-time display component includes an LED display array composed of multiple LED display units.

9. The building access control linkage disposal system according to claim 7, characterized in that: A real-time display component is respectively connected to multiple current sensing circuits of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component, and is used to display the current real-time current values ​​of the content mapping mechanism, the building detection component, the information capture component and the hierarchical analysis component in real time. The real-time display component includes an LCD display array composed of multiple LCD display units.

Citation Information

Patent Citations

  • Passenger flow volume prediction method and device based on PSO and Elman neural network and storage medium

    CN110909857A

  • Passenger flow prediction method and system and computer readable storage medium

    CN113077090A

  • Access control method and system

    CN116665352A

  • Building management system

    CN116957297A

  • Training method of passenger flow prediction model, passenger flow prediction method, medium and equipment

    CN118228093A