State switching system for intelligent access control

Abstract

The invention relates to a state switching system for an intelligent access control, and the system comprises a content mapping mechanism which is used for employing a deep neural network recognition model to intelligently predict the number of visitors and the number of owners corresponding to a set access channel where the intelligent access control is located in a fixed time interval of the day; and the strategy adjusting mechanism is used for setting the state of the intelligent access control in the fixed time interval of the day to be a normally open state in advance when the intelligently predicted visitor number is greater than or equal to the owner number. The state switching system for the intelligent access control is reliable in logic and has certain pertinence. As the visitor number and the owner number of a certain access channel of the target residential district managed by the intelligent access control in the future time interval can be intelligently predicted, when the intelligently predicted visitor number is greater than or equal to the owner number, the state of the intelligent access control in the future time interval is set to be a normally open state in advance, otherwise, the state of the intelligent access control in the future time interval is set to be a normally open state. And a normally closed state is set in advance, so that the intelligent level of intelligent access control management is improved.

Description

Technical Field

[0001] The present invention relates to the field of smart access control, and in particular to a state switching system for smart access control. Background Art

[0002] Smart access control is an advanced technological achievement in the field of building security management today. It can not only effectively protect the safety of residents and staff, but also bring great convenience to life. With the continuous advancement of science and technology, smart access control will continue to be upgraded and improved, bringing more surprises and convenience to people's lives. Smart access control has many other practical functions. For example, the system can be connected to smart home devices, and the lighting, temperature, electrical appliances and other equipment in the home can be controlled through mobile phone APP to achieve intelligent management; the system also has a video call function, and residents can make real-time video calls with visitors through the access control system, and open the door after confirming the identity of the other party, which improves safety and convenience; in addition, the system can also count the number and time of people entering and leaving, and generate reports to provide data support for building managers and provide a basis for management decisions.

[0003] However, since the existing technology cannot effectively predict the number of visitors and the number of owners in a residential community in the future time period, it is naturally impossible to set the state of the smart access control in the future time period to a normally open state or a normally closed state in advance based on the numerical comparison results of the number of visitors and the number of owners in the residential community in the future time period, resulting in the inability to further improve the intelligence of the smart access control. Summary of the invention

[0004] In order to solve the technical problems in the prior art, the present invention provides a state switching system for smart access control, which uses a deep neural network recognition model to intelligently predict the number of visitors and the number of owners in a certain access channel of a target residential community managed by the smart access control in a future time interval. When the number of visitors intelligently predicted is greater than or equal to the number of owners, the state of the smart access control in the future time interval is set to a normally open state in advance, otherwise, the state of the smart access control in the future time interval is set to a normally closed state in advance, thereby improving the intelligent level of smart access control management and ensuring the switching efficiency and effect of the smart access control. A deep neural network recognition model with a customized structure is introduced to perform intelligent prediction, and the deep neural network model is a deep neural network that has been trained multiple times. Moreover, the number of deep neural network training times is monotonically positively correlated with the number of owners in the target residential community, thereby customizing artificial intelligence models with different structures for different residential communities, and introducing sufficient and comprehensive basic data for intelligent prediction, including various related information of the target residential community and multiple entries and exits data corresponding to the set entry and exit channels where the smart access control is located in fixed time intervals on multiple historical days. Specifically, the various related information of the target residential community is the number of owners, floor area, number of entry and exit channels, and number of households in the target residential community, and the single entry and exit data corresponding to the set entry and exit channel where the smart access control is located in a fixed time interval on a certain historical day is the number of visitors and owners who entered the target residential community through the set entry and exit channel where the smart access control is located in a fixed time interval on a certain historical day.

[0005] According to the present invention, a state switching system for smart access control is provided, the system comprising: An information capture device, used to obtain various related information of a target residential community for smart access control management, wherein the various related information of the target residential community includes the number of owners, floor area, number of access channels, and number of households of the target residential community; The access detection device is used to obtain multiple access data corresponding to the set access channel where the smart access control is located in fixed time intervals of multiple historical days. The single access data corresponding to the set access channel where the smart access control is located in a fixed time interval on a certain historical day is the number of visitors and owners entering the target residential area through the set access channel where the smart access control is located in a fixed time interval on a certain historical day; An object building device, used for outputting a deep neural network after multiple trainings as a deep neural network model, in which the deep neural network recognition model is trained multiple times to obtain a deep neural network after multiple trainings; The content mapping mechanism is connected to the information capture device, the access detection device and the object assembly device respectively, and is used to use the deep neural network recognition model to intelligently predict the number of visitors and the number of owners corresponding to the set access channel where the smart access control is located in the fixed time interval of the day based on the time length of the fixed time interval, various related information of the target residential community and multiple access data corresponding to the set access channel where the smart access control is located in the fixed time interval of multiple historical days; The strategy adjustment mechanism is connected to the content mapping mechanism and the smart access control, respectively, and is used to set the state of the smart access control in the fixed time interval of the day to a normally open state in advance when the number of visitors corresponding to the set access channel of the smart access control in the fixed time interval of the day as predicted by the smart prediction is greater than or equal to the number of owners corresponding to the set access channel of the smart access control in the fixed time interval of the day as predicted by the smart prediction; The strategy adjustment mechanism is also used to set the state of the smart access control in the fixed time interval of the day to a normally closed state in advance when the number of visitors corresponding to the set access channel of the smart access control in the fixed time interval of the day as intelligently predicted is less than the number of owners corresponding to the set access channel of the smart access control in the fixed time interval of the day as intelligently predicted; The object forming device is used to output the deep neural network after multiple training as a deep neural network model, and in the deep neural network recognition model, the deep neural network is trained multiple times to obtain the deep neural network after multiple training, including: the number of times the deep neural network is trained is monotonically positively correlated with the number of owners of the target residential community; Among them, the information capture device is used to obtain various related information of the target residential community managed by the smart access control. The various related information of the target residential community are the number of owners, the floor area, the number of entrance and exit channels and the number of households in the target residential community, including: the smart access control is located at the set entrance and exit channel of the target residential community.

[0006] Therefore, the present invention has at least the following three beneficial technical effects: Firstly: the number of visitors and owners at a certain entrance and exit of the target residential community under smart access control management in the future time interval is intelligently predicted. When the number of visitors intelligently predicted is greater than or equal to the number of owners, the state of the smart access control in the future time interval is set to the normally open state in advance. Otherwise, the state of the smart access control in the future time interval is set to the normally closed state in advance, thereby improving the intelligent level of smart access control management and ensuring the opening and closing efficiency and effect of the smart access control. Secondly: a customized deep neural network recognition model is introduced to perform intelligent prediction. The deep neural network model is a deep neural network that has been trained multiple times, and the number of deep neural network training times is monotonically positively correlated with the number of owners in the target residential community, so as to customize artificial intelligence models with different structures for different residential communities; Thirdly: a comprehensive and sufficient number of basic data are introduced for intelligent prediction, including various related information of the target residential community and multiple entries and exits data corresponding to the set entry and exit channels where the smart access control is located in fixed time intervals of multiple historical days. Specifically, the various related information of the target residential community are the number of owners, floor area, number of entry and exit channels and number of households in the target residential community, and the single entry and exit data corresponding to the set entry and exit channel where the smart access control is located in a fixed time interval on a certain historical day is the number of visitors and owners who entered the target residential community through the set entry and exit channel where the smart access control is located in a fixed time interval on a certain historical day.

[0007] The state switching system for smart access control of the present invention is logically reliable and has certain pertinence. Since it can intelligently predict the number of visitors and owners at a certain access channel of the target residential community managed by the smart access control in the future time interval, when the number of visitors intelligently predicted is greater than or equal to the number of owners, the state of the smart access control in the future time interval is set to the normally open state in advance, otherwise, it is set to the normally closed state in advance, thereby improving the intelligent level of smart access control management. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0009] Figure 1 A schematic diagram of the internal structure of a state switching system for smart access control according to Embodiment A of the present invention.

[0010] Figure 2 Schematic diagram of the internal structure of a state switching system for smart access control according to Embodiment B of the present invention.

[0011] Figure 3 Schematic diagram of the internal structure of a state switching system for smart access control according to Embodiment C of the present invention. DETAILED DESCRIPTION

[0012] The following is a detailed description of an embodiment of the state switching system for smart access control of the present invention with reference to the accompanying drawings.

[0013] Figure 1 This is a schematic diagram of the internal structure of a state switching system for smart access control according to embodiment A of the present invention, wherein the system comprises: An information capture device, used to obtain various related information of a target residential community for smart access control management, wherein the various related information of the target residential community includes the number of owners, floor area, number of access channels, and number of households of the target residential community; Specifically, the information capture device is used to obtain various related information of the target residential community managed by the smart access control, and the various related information of the target residential community is the number of owners, the floor area, the number of access channels and the number of households in the target residential community. The information capture device includes a plurality of different content capture components, which are used to respectively capture the number of owners, the floor area, the number of access channels and the number of households in the target residential community; The access detection device is used to obtain multiple access data corresponding to the set access channel where the smart access control is located in fixed time intervals of multiple historical days. The single access data corresponding to the set access channel where the smart access control is located in a fixed time interval on a certain historical day is the number of visitors and owners entering the target residential area through the set access channel where the smart access control is located in a fixed time interval on a certain historical day; An object building device, used for outputting a deep neural network after multiple trainings as a deep neural network model, in which the deep neural network recognition model is trained multiple times to obtain a deep neural network after multiple trainings; The content mapping mechanism is connected to the information capture device, the access detection device and the object assembly device respectively, and is used to use the deep neural network recognition model to intelligently predict the number of visitors and the number of owners corresponding to the set access channel where the smart access control is located in the fixed time interval of the day based on the time length of the fixed time interval, various related information of the target residential community and multiple access data corresponding to the set access channel where the smart access control is located in the fixed time interval of multiple historical days; The strategy adjustment mechanism is connected to the content mapping mechanism and the smart access control, respectively, and is used to set the state of the smart access control in the fixed time interval of the day to a normally open state in advance when the number of visitors corresponding to the set access channel of the smart access control in the fixed time interval of the day as predicted by the smart prediction is greater than or equal to the number of owners corresponding to the set access channel of the smart access control in the fixed time interval of the day as predicted by the smart prediction; The strategy adjustment mechanism is also used to set the state of the smart access control in the fixed time interval of the day to a normally closed state in advance when the number of visitors corresponding to the set access channel of the smart access control in the fixed time interval of the day as intelligently predicted is less than the number of owners corresponding to the set access channel of the smart access control in the fixed time interval of the day as intelligently predicted; The object forming device is used to output the deep neural network after multiple training as a deep neural network model, and in the deep neural network recognition model, the deep neural network is trained multiple times to obtain the deep neural network after multiple training, including: the number of times the deep neural network is trained is monotonically positively correlated with the number of owners of the target residential community; The information capture device is used to obtain various related information of the target residential area managed by the smart access control, and the various related information of the target residential area is the number of owners, floor area, number of access channels and number of households of the target residential area, including: the smart access control is located at the set access channel of the target residential area; Among them, the deep neural network recognition model is used to intelligently predict the number of visitors and owners corresponding to the set access channel where the smart access control is located in the fixed time interval of the day based on the time length of the fixed time interval, various related information of the target residential community, and multiple access data corresponding to the set access channel where the smart access control is located in the fixed time intervals of multiple historical days, including: the fixed time interval of the day belongs to the time interval that is located after the current time on the time axis and has not been reached; Among them, the deep neural network recognition model is used to intelligently predict the number of visitors and the number of owners corresponding to the set access channel where the smart access control is located in the fixed time interval of the day based on the time length of the fixed time interval, the various related information of the target residential community, and the multiple access data corresponding to the set access channel where the smart access control is located in the fixed time intervals of multiple historical days. It also includes: synchronously inputting the time length of the fixed time interval, the various related information of the target residential community, and the multiple access data corresponding to the set access channel where the smart access control is located in the fixed time intervals of multiple historical days into the deep neural network recognition model, and running the deep neural network recognition model to obtain the number of visitors and the number of owners corresponding to the set access channel where the smart access control is located in the fixed time interval of the day output by the deep neural network recognition model.

[0014] Figure 2 Schematic diagram of the internal structure of a state switching system for smart access control according to Embodiment B of the present invention.

[0015] and Figure 1 different, Figure 2 The state switching system for smart access control may also include the following components: A wireless router device is wirelessly connected to the content mapping mechanism, the information capturing device, the access detection device and the object building device, respectively, and is used to provide the content mapping mechanism, the information capturing device, the access detection device and the object building device with the required wireless routing services respectively; The wireless router component is wirelessly connected to the content mapping mechanism, the information capture device, the access detection device and the object building device respectively, and is used to provide the content mapping mechanism, the information capture device, the access detection device and the object building device with the required wireless routing services respectively, including: the wireless router component connects the content mapping mechanism, the information capture device, the access detection device and the object building device to the nearest WIFI network respectively; The wireless router component connects the content mapping mechanism, the information capture device, the access detection device and the object assembly device to the nearest WIFI network respectively, including: the wireless router component provides different IP addresses for the content mapping mechanism, the information capture device, the access detection device and the object assembly device respectively, so as to respectively connect the content mapping mechanism, the information capture device, the access detection device and the object assembly device to the nearest WIFI network by using the different IP addresses; And wherein, the wireless router component connects the content mapping mechanism, the information capture device, the access detection device and the object building device to the nearest WIFI network respectively, including: the wireless router component detects and compares the signal strength of each WIFI network near the content mapping mechanism, the information capture device, the access detection device and the object building device; And wherein, the wireless router component detects and compares the signal strength of each WIFI network near the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device, including: the wireless router component uses the WIFI network with the highest signal strength among the various WIFI networks near the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device as the WIFI network closest to the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device.

[0016] Figure 3 Schematic diagram of the internal structure of a state switching system for smart access control according to Embodiment C of the present invention.

[0017] and Figure 1 different, Figure 3 The state switching system for smart access control may also include the following components: An ultra-high-definition camera device is arranged near the content mapping mechanism, the information capturing device, the access detection device and the object building device, and is used to collect ultra-high-definition images of the working scenes of the content mapping mechanism, the information capturing device, the access detection device and the object building device; Wherein, the ultra-high-definition camera device is arranged near the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device, and is used to collect ultra-high-definition images of the working scenes of the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device, including: the ultra-high-definition camera device is equipped with a photoelectric sensor unit and an ultra-high-definition lens, and is used to collect ultra-high-definition images of the working scenes of the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device; And wherein, the ultra-high-definition camera device has a built-in photoelectric sensor unit and an ultra-high-definition lens, which is used to capture ultra-high-definition images of the working scenes of the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device, including: the photoelectric sensor unit is a CMOS sensor unit or a CCD sensor unit.

[0018] In addition, in the state switching system for the smart access control, the time length of the fixed time interval, the various related information of the target residential community, and the multiple entries and exits data corresponding to the set entry and exit channels where the smart access control is located in the fixed time intervals of multiple historical days are synchronously input into the deep neural network recognition model, and the deep neural network recognition model is run to obtain the number of visitors and the number of owners corresponding to the set entry and exit channels where the smart access control is located in the fixed time interval of the day output by the deep neural network recognition model, including: using a synchronous drive interface to synchronously input the time length of the fixed time interval, the various related information of the target residential community, and the multiple entries and exits data corresponding to the set entry and exit channels where the smart access control is located in the fixed time intervals of multiple historical days into the deep neural network recognition model.

[0019] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A state switching system for smart access control, characterized in that: The system comprises: An information capture device, used to obtain various related information of a target residential community for smart access control management, wherein the various related information of the target residential community includes the number of owners, floor area, number of access channels, and number of households of the target residential community; The access detection device is used to obtain multiple access data corresponding to the set access channel where the smart access control is located in fixed time intervals of multiple historical days. The single access data corresponding to the set access channel where the smart access control is located in a fixed time interval on a certain historical day is the number of visitors and owners entering the target residential area through the set access channel where the smart access control is located in a fixed time interval on a certain historical day; An object building device, used for outputting a deep neural network after multiple trainings as a deep neural network model, in which the deep neural network recognition model is trained multiple times to obtain a deep neural network after multiple trainings; The content mapping mechanism is connected to the information capture device, the access detection device and the object assembly device respectively, and is used to use the deep neural network recognition model to intelligently predict the number of visitors and the number of owners corresponding to the set access channel where the smart access control is located in the fixed time interval of the day based on the time length of the fixed time interval, various related information of the target residential community and multiple access data corresponding to the set access channel where the smart access control is located in the fixed time interval of multiple historical days; The strategy adjustment mechanism is connected to the content mapping mechanism and the smart access control, respectively, and is used to set the state of the smart access control in the fixed time interval of the day to a normally open state in advance when the number of visitors corresponding to the set access channel of the smart access control in the fixed time interval of the day as predicted by the smart prediction is greater than or equal to the number of owners corresponding to the set access channel of the smart access control in the fixed time interval of the day as predicted by the smart prediction; The strategy adjustment mechanism is also used to set the state of the smart access control in the fixed time interval of the day to a normally closed state in advance when the number of visitors corresponding to the set access channel of the smart access control in the fixed time interval of the day as intelligently predicted is less than the number of owners corresponding to the set access channel of the smart access control in the fixed time interval of the day as intelligently predicted; The object forming device is used to output the deep neural network after multiple training as a deep neural network model, and in the deep neural network recognition model, the deep neural network is trained multiple times to obtain the deep neural network after multiple training, including: the number of times the deep neural network is trained is monotonically positively correlated with the number of owners of the target residential community; Among them, the information capture device is used to obtain various related information of the target residential community managed by the smart access control. The various related information of the target residential community are the number of owners, the floor area, the number of entrance and exit channels and the number of households in the target residential community, including: the smart access control is located at the set entrance and exit channel of the target residential community.

2. The state switching system for smart access control as claimed in claim 1, characterized in that: The deep neural network recognition model is used to intelligently predict the number of visitors and owners corresponding to the set access channel where the smart access control is located in the fixed time interval of the day based on the time length of the fixed time interval, various related information of the target residential community, and multiple access data corresponding to the set access channel where the smart access control is located in the fixed time intervals of multiple historical days, including: the fixed time interval of the day belongs to a time interval that is located after the current time on the time axis and has not been reached; Among them, the deep neural network recognition model is used to intelligently predict the number of visitors and the number of owners corresponding to the set access channel where the smart access control is located in the fixed time interval of the day based on the time length of the fixed time interval, the various related information of the target residential community, and the multiple access data corresponding to the set access channel where the smart access control is located in the fixed time intervals of multiple historical days. It also includes: synchronously inputting the time length of the fixed time interval, the various related information of the target residential community, and the multiple access data corresponding to the set access channel where the smart access control is located in the fixed time intervals of multiple historical days into the deep neural network recognition model, and running the deep neural network recognition model to obtain the number of visitors and the number of owners corresponding to the set access channel where the smart access control is located in the fixed time interval of the day output by the deep neural network recognition model.

3. The state switching system for smart access control as claimed in claim 2, characterized in that: The system further comprises: A wireless router device is wirelessly connected to the content mapping mechanism, the information capturing device, the access detection device and the object building device, respectively, and is used to provide the content mapping mechanism, the information capturing device, the access detection device and the object building device with the required wireless routing services respectively; Among them, the wireless router component is wirelessly connected to the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device respectively, and is used to provide the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device with the wireless routing services they need respectively, including: the wireless router component connects the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device to the nearest WIFI network respectively.

4. The state switching system for smart access control as claimed in claim 3, characterized in that: The wireless router component connects the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device to the nearest WIFI network respectively, including: the wireless router component provides different IP addresses for the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device respectively, so as to use the different IP addresses to connect the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device to the nearest WIFI network respectively.

5. The state switching system for smart access control as claimed in claim 4, characterized in that: The wireless router component connects the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device to the nearest WIFI network respectively, including: the wireless router component detects and compares the signal strength of each WIFI network near the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device.

6. The state switching system for smart access control as claimed in claim 5, characterized in that: The wireless router device detects and compares the signal strength of each WIFI network near the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device, including: the wireless router device uses the WIFI network with the highest signal strength among the WIFI networks near the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device as the WIFI network closest to the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device.

7. The state switching system for smart access control as claimed in claim 2, characterized in that: The system further comprises: An ultra-high-definition camera device is arranged near the content mapping mechanism, the information capturing device, the entry and exit detecting device and the object building device, and is used for collecting ultra-high-definition images of the working scenes of the content mapping mechanism, the information capturing device, the entry and exit detecting device and the object building device.

8. The state switching system for smart access control as claimed in claim 7, characterized in that: An ultra-high-definition camera device is arranged near the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device, and is used to collect ultra-high-definition images of the working scenes of the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device. The ultra-high-definition camera device includes: the ultra-high-definition camera device has a built-in photoelectric sensor unit and an ultra-high-definition lens, and is used to collect ultra-high-definition images of the working scenes of the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device.

9. The state switching system for smart access control as claimed in claim 8, characterized in that: The ultra-high-definition camera device has a built-in photoelectric sensor unit and an ultra-high-definition lens, which is used to capture ultra-high-definition images of the working scenes of the content mapping mechanism, the information capture device, the entry and exit detection device and the object assembly device, including: the photoelectric sensor unit is a CMOS sensor unit or a CCD sensor unit.

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