A smart building operation and maintenance management system and method

Abstract

The present invention provides a smart building operation and maintenance management system and method, which belongs to the field of operation and maintenance management technology, and specifically includes: when it is determined based on the access control verification data of the access control devices in different rooms inside the building that there is currently an access control device that has failed verification, it is used as a verification failure access control, and the facial image of the verification user is recognized through the verification failure access control, and when the facial image does not belong to the registered facial image, the verification failure access control is used to determine the intrusion risk of the verification user and the risk verification user, the house intrusion risk of different rooms and the risk room are determined by the intrusion risk of the verification user in different time periods and the risk verification user, and the risk type of different operation and maintenance supervision areas and the operation and maintenance supervision strategy are determined according to the house intrusion risk of different rooms and the risk room in different operation and maintenance supervision areas, thereby improving the safety of the residents of the building.

Description

Technical Field

[0001] The present invention belongs to the technical field of operation and maintenance management, and in particular, relates to a smart building operation and maintenance management system and method. Background Art

[0002] In order to facilitate the rental housing needs of young talents, more and more cities have configured rental apartments with unified management. While meeting the rental housing needs, the management agencies need to manage a large number of rooms, especially different rooms are equipped with smart access control with identity authentication measures such as fingerprint recognition. Therefore, how to achieve centralized operation and maintenance management of the smart access control devices of rental apartments and improve the reliability of use for rental users has become a technical problem that needs to be solved urgently.

[0003] In the existing technical solutions, when performing operation and maintenance management of access control, it often only corresponds to a single centralized access control device. For example, in the invention patents CN202311060018.6 "A smart community access control management system" and CN202211420056.3 "A visitor management system based on smart access control", the security of users is improved by managing the access control devices at the entrance and exit of the community. However, there are essentially the following technical problems:

[0004] The existing technical solutions do not consider the monitoring and management of the access control devices of different rental rooms, which not only cannot accurately identify illegal intrusions, but also may cause security problems due to the inability to accurately know the security risks of different areas.

[0005] In response to the above technical problems, the present invention provides a smart building operation and maintenance management system and method. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, a smart building operation and maintenance management method is provided.

[0008] A smart building operation and maintenance management method, characterized by comprising:

[0009] S1 determines that there is an access control device that has failed verification based on the access control verification data of the access control devices in different rooms inside the building, and regards it as a failed verification access control, and recognizes the facial image of the verification user through the failed verification access control, and when the facial image does not belong to the registered facial image, proceeds to the next step;

[0010] S2 determines the room data that the verification user attempts to open by using the matching results of the historical facial images with different verification failure times of the room corresponding to the verification failure access control and the facial image, and the matching results of the historical facial images with different verification failure times of other rooms, and determines the intrusion risk of the verification user and the risk verification user in combination with the different attempted opening times;

[0011] S3 determines the intrusion risks of different rooms and risk rooms of the verified users through the intrusion risks in different time periods, divides the building into multiple operation and maintenance supervision areas based on preset rules, and determines the risk types of different operation and maintenance supervision areas according to the intrusion risks of different rooms and risk rooms in different operation and maintenance supervision areas, and determines the operation and maintenance supervision strategies of different operation and maintenance supervision areas based on the risk types.

[0012] The beneficial effects of the present invention are:

[0013] 1. In the present invention, the facial image of the verified user is recognized through the verification failure access control, so that the verified user with intrusion risk can be identified, and the thief or the user who forcibly enters by abnormal means can be identified and processed in time, thus laying the foundation for targeted inspection and operation and maintenance management, and improving the safety of the building's residents.

[0014] 2. In the present invention, the intrusion risk of the verified user and the risky verified user are determined based on the room data of the verified user's attempted opening and the different opening attempt times. This scheme can effectively identify multiple verified users who attempt to enter without permission, and realize the assessment of the intrusion risk of different verified users based on the time interval between attempts to open and the number of rooms, which also lays the foundation for determining differentiated operation and maintenance supervision strategies.

[0015] 3. In the present invention, by determining the operation and maintenance supervision strategies for different operation and maintenance supervision areas according to the risk types of different operation and maintenance supervision areas, the technical problem of high labor intensity of operation and maintenance management personnel is avoided. At the same time, by comprehensively considering the risk situations of different operation and maintenance supervision areas, the reliability of operation and maintenance supervision for areas with higher risks is guaranteed, and the foundation is also laid for the timely identification of intrusion risks.

[0016] A further technical solution is that the access control verification data of the access control device is obtained according to the Internet of Things module of the access control device, and specifically the access control verification data of the access control device is uploaded to the cloud management platform through the Internet of Things module of the access control device.

[0017] A further technical solution is that the facial image of the verified user is acquired using a camera device of the access control device and uploaded for processing via an Internet of Things module.

[0018] A further technical solution is that the registered facial image is determined based on a preset facial image of a user in the room corresponding to the verification-failed access control.

[0019] A further technical solution is that the room data that the verified user attempts to open includes the number of rooms that the verified user attempts to open and the number of times the verified user attempts to open different rooms.

[0020] In a second aspect, the present invention provides a smart building operation and maintenance management system, which adopts the above-mentioned smart building operation and maintenance management method, specifically comprising:

[0021] Image recognition module, intrusion risk assessment module, operation and maintenance supervision module;

[0022] The image recognition module is responsible for determining that there is an access control device that has failed verification based on the access control verification data of the access control devices in different rooms inside the building, and treating it as a failed access control device, and identifying the facial image of the verification user through the failed access control device;

[0023] The intrusion risk assessment module is responsible for determining the room data attempted to be opened by the verified user by using the matching results of the historical facial images with different verification failure times of the room corresponding to the verification failure access control and the facial image, and the matching results of the historical facial images with different verification failure times of other rooms, and determining the intrusion risk of the verified user and the risk verified user in combination with the different attempted opening times;

[0024] The operation and maintenance supervision module is responsible for determining the house intrusion risks and risk rooms of different rooms by verifying the intrusion risks of users in different time periods and the risk verification users, dividing the building into multiple operation and maintenance supervision areas based on preset rules, and determining the risk types of different operation and maintenance supervision areas according to the house intrusion risks and risk rooms of different rooms in different operation and maintenance supervision areas, and determining the operation and maintenance supervision strategies of different operation and maintenance supervision areas according to the risk types.

[0025] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0026] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0028] Figure 1 It is a flow chart of a smart building operation and maintenance management method;

[0029] Figure 2 is a flow chart of a method for verifying a determination of a user's intrusion risk;

[0030] Figure 3 It is a framework diagram of a smart building operation and maintenance management system. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0032] Method Example

[0033] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a smart building operation and maintenance management method is provided, which is characterized by specifically including:

[0034] S1 determines that there is an access control device that has failed verification based on the access control verification data of the access control devices in different rooms inside the building, and regards it as a failed verification access control, and recognizes the facial image of the verification user through the failed verification access control, and when the facial image does not belong to the registered facial image, proceeds to the next step;

[0035] It should be noted that the access control verification data of the access control device is obtained according to the Internet of Things module of the access control device, and specifically, the access control verification data of the access control device is uploaded to the cloud management platform through the Internet of Things module of the access control device.

[0036] Specifically, the facial image of the verified user is acquired by the camera device of the access control device and uploaded for processing via the Internet of Things module.

[0037] It can be understood that the registered facial image is determined based on the facial image of the user of the room corresponding to the verification failure access control that is preset.

[0038] S2 determines the room data that the verification user attempts to open by using the matching results of the historical facial images with different verification failure times of the room corresponding to the verification failure access control and the facial image, and the matching results of the historical facial images with different verification failure times of other rooms, and determines the intrusion risk of the verification user and the risk verification user in combination with the different attempted opening times;

[0039] Furthermore, the room data that the verified user attempts to open includes the number of rooms that the verified user attempts to open and the number of times the verified user attempts to open different rooms.

[0040] Specific examples, such as Figure 2 As shown, the method for determining the intrusion risk of the verified user in the above step S2 is:

[0041] The number of rooms attempted to be opened by the verified user is determined through the room data attempted to be opened by the verified user, and when the number of rooms attempted to be opened by the verified user is greater than the preset number of rooms, the verified user is determined to be a risky verified user, and the intrusion risk of the verified user is determined through the number of rooms attempted to be opened by the verified user;

[0042] When the number of rooms that the verification user attempts to open is not greater than the preset number of rooms, the room that the verification user attempts to open is used as the verification room, and the intrusion risk assessment amount of the verification user in different verification rooms is determined based on the number of attempts to open different verification rooms and the interval time between different attempts to open, the number of dates with attempted opening within the preset time, and the time interval with the current date;

[0043] When the verification user has a verification room whose intrusion risk assessment amount does not meet the requirements, the verification user is determined to be a risk verification user, and the intrusion risk of the verification user is determined by the number of verification rooms whose intrusion risk assessment amount does not meet the requirements;

[0044] When the verification user does not exist in a verification room whose intrusion risk assessment amount does not meet the requirements, the time interval between the verification user in different verification rooms is obtained, and the user verification risk of the verification user is determined in combination with the number of verification rooms in which the verification user exists on different dates and the time interval between different verification rooms, and the intrusion risk assessment amount of the verification user in different verification rooms.

[0045] It can be understood that when the intrusion risk of the verification user is greater than the preset verification risk, the verification user is determined to be a risky verification user.

[0046] In another possible embodiment, the method for determining the intrusion risk of the verified user in the above step S2 is:

[0047] The number of rooms attempted to be opened by the verification user is determined through the room data of the verification user, the room attempted to be opened by the verification user is used as the verification room, and the intrusion risk assessment amount of the verification user in different verification rooms is determined based on the number of attempts to open different verification rooms and the interval time between the number of attempts to open different verification rooms, the number of dates with attempts to open within a preset time, and the time interval with the current date;

[0048] Determine whether the number of verification rooms where the intrusion risk assessment amount of the verification user does not meet the requirement. If so, proceed to the next step. If not, determine that the verification user is a risk verification user, and determine the intrusion risk of the verification user by the number of verification rooms where the intrusion risk assessment amount of the verification user does not meet the requirement.

[0049] The historical verification risk of the verification user is determined based on the number of dates on which the verification user has attempted to open the room within a preset time, and in combination with the number of verification rooms on different dates on which the verification user has attempted to open the room and the time interval between different verification rooms. Based on the historical verification risk, it is determined whether the verification user is a risk verification user. If so, the verification user is determined to be a risk verification user. The intrusion risk of the verification user is determined by the number of verification rooms in which the intrusion risk assessment amount of the verification user does not meet the requirements. If not, proceed to the next step.

[0050] Obtain the time intervals between different verification rooms and the number of verification rooms of the verification user on the current date, and determine the intrusion risk of the verification user based on the intrusion risk assessment of the verification user in different verification rooms and the historical verification risk of the verification user.

[0051] S3 determines the intrusion risks of different rooms and risk rooms of the verified users through the intrusion risks in different time periods, divides the building into multiple operation and maintenance supervision areas based on preset rules, and determines the risk types of different operation and maintenance supervision areas according to the intrusion risks of different rooms and risk rooms in different operation and maintenance supervision areas, and determines the operation and maintenance supervision strategies of different operation and maintenance supervision areas based on the risk types.

[0052] Specifically, the method for determining the housing intrusion risk of the room in step S3 is as follows:

[0053] When there is no risk verification user in the room, it is determined that the room is not a risk room, and the house intrusion risk of the room is determined according to the maximum value of the intrusion risk of the verification user in the room;

[0054] When there is a risk verification user in the room, the cumulative number of risk verification users of the room on the current date is determined based on the risk verification users of the room in different time periods on the current date; when the cumulative number of risk verification users of the room on the current date does not meet the requirement, the room is determined to be a risk room, and the house intrusion risk of the room is determined based on the cumulative number of risk verification users of the room on the current date;

[0055] When the cumulative number of risk verification users of the room on the current date meets the requirement, the comprehensive verification risks of different time periods are determined according to the intrusion risks of verification users in different time periods and the number of risk verification users, and the revised verification risks of different time periods are determined in combination with the intervals between different time periods and the current time period;

[0056] When the number of time periods during which the revised verification risk of the room on the current date does not meet the requirement does not meet the requirement, the room is determined to be a risky room, and the housing intrusion risk of the room is determined based on the number of time periods during which the revised verification risk of the room on the current date does not meet the requirement;

[0057] When the number of time periods in which the modified verification risk of the room on the current date meets the requirements, the cumulative number of risk-verified users of the room on the current date and the modified verification risks of different time periods are obtained, and the house intrusion risk of the room is determined in combination with the number of time periods in which the modified verification risk of the room on the current date does not meet the requirements.

[0058] In another possible embodiment, the method for determining the housing intrusion risk of the room in step S3 is:

[0059] Determine the cumulative number of risk-verified users of the room on the current date based on risk-verified users of the room in different time periods on the current date, and judge whether the cumulative number of risk-verified users of the room on the current date meets the requirement; if not, determine that the room is a risky room, and determine the housing intrusion risk of the room based on the cumulative number of risk-verified users of the room on the current date; if yes, proceed to the next step;

[0060] Determine the comprehensive verification risk of different time periods according to the intrusion risk of the verification users in different time periods and the number of risk verification users, and determine the modified verification risk of different time periods in combination with the interval between different time periods and the current time period, and judge whether the sum of the modified verification risks of the room in different time periods on the current date meets the requirements. If not, determine that the room is a risky room, and determine the house intrusion risk of the room according to the sum of the modified verification risks of the room in different time periods on the current date. If so, proceed to the next step;

[0061] Obtain the cumulative number of risk-verified users for the room on the current date and the revised verification risks for different time periods, and determine the house intrusion risk of the room based on the number of time periods in which the revised verification risk of the room on the current date does not meet the requirements.

[0062] It can be understood that determining the house intrusion risk of the room based on the cumulative number of risk-verified users of the room on the current date specifically includes:

[0063] The house intrusion risk of the room is determined based on the ratio of the cumulative number of risk-verified users of the room on the current date to a preset number threshold.

[0064] Specifically, the building is divided into multiple operation and maintenance supervision areas based on preset rules, including:

[0065] The operation and maintenance supervision area of ​​the building is determined according to the different floors of the building.

[0066] In a possible embodiment, the method for determining the risk type of the operation and maintenance supervision area in the above step S3 is:

[0067] Determine whether the security monitoring area is a preset risk type according to the number of risk rooms in the operation and maintenance supervision area, if so, determine that the risk type of the operation and maintenance supervision area is a preset risk type, if not, proceed to the next step;

[0068] Determine the sum of the number of verified users in the operation and maintenance supervision area by the cumulative number of risk verified users in different rooms of the operation and maintenance supervision area on the current date, and determine whether the security monitoring area is a preset risk type based on the sum of the number of verified users in the operation and maintenance supervision area. If so, determine that the risk type of the operation and maintenance supervision area is the preset risk type; if not, proceed to the next step;

[0069] Determine whether the security monitoring area is a preset risk type based on the proportion of the number of time periods with risk verification users in the operation and maintenance supervision area on the current date. If so, determine that the risk type of the operation and maintenance supervision area is the preset risk type. If not, proceed to the next step.

[0070] The basic regional risk of the operation and maintenance supervision area is determined based on the proportion of time periods with risk verified users in the operation and maintenance supervision area on the current date, the number of risk verified users in different time periods, and the number of rooms with risk verified users. The regional intrusion risk of the operation and maintenance supervision area is determined in combination with the number of risk rooms in the operation and maintenance supervision area, the proportion of the number of houses in the operation and maintenance supervision area, and the house intrusion risks of different rooms. The risk type of the operation and maintenance supervision area is determined based on the regional intrusion risk.

[0071] In another possible embodiment, the method for determining the risk type of the operation and maintenance supervision area in the above step S3 is:

[0072] Determine whether the security monitoring area is a preset risk type according to the number of rooms with risk verification users in the operation and maintenance supervision area on the current date, and if so, determine that the risk type of the operation and maintenance supervision area is the preset risk type, and if not, proceed to the next step;

[0073] Determine the basic regional risk of the operation and maintenance supervision area by the proportion of the number of time periods with risk-verified users in the operation and maintenance supervision area on the current date, the number of risk-verified users in different time periods, and the number of rooms with risk-verified users; determine whether the security monitoring area is a preset risk type based on the basic regional risk of the operation and maintenance supervision area; if so, determine that the risk type of the operation and maintenance supervision area is the preset risk type; if not, proceed to the next step;

[0074] Obtain the number of risk rooms in the operation and maintenance supervision area, the proportion of the number of houses in the operation and maintenance supervision area, the house intrusion risks of different rooms, and the basic area risk of the operation and maintenance supervision area to determine the area intrusion risk of the operation and maintenance supervision area, and determine the risk type of the operation and maintenance supervision area through the area intrusion risk.

[0075] Specifically, the operation and maintenance supervision strategies of different operation and maintenance supervision areas are determined according to the risk types, including:

[0076] The operation and maintenance supervision levels of different operation and maintenance supervision areas are determined according to the risk types, and the operation and maintenance supervision strategies are determined according to the operation and maintenance supervision levels.

[0077] Furthermore, the operation and maintenance supervision strategy includes the configuration number of operation and maintenance supervision personnel and the operation and maintenance supervision cycle.

[0078] Example 2

[0079] On the other hand, Figure 3 As shown, the present invention provides a smart building operation and maintenance management system, which adopts the above-mentioned smart building operation and maintenance management method, specifically including:

[0080] Image recognition module, intrusion risk assessment module, operation and maintenance supervision module;

[0081] The image recognition module is responsible for determining that there is an access control device that has failed verification based on the access control verification data of the access control devices in different rooms inside the building, and treating it as a failed access control device, and identifying the facial image of the verification user through the failed access control device;

[0082] The intrusion risk assessment module is responsible for determining the room data attempted to be opened by the verified user by using the matching results of the historical facial images with different verification failure times of the room corresponding to the verification failure access control and the facial image, and the matching results of the historical facial images with different verification failure times of other rooms, and determining the intrusion risk of the verified user and the risk verified user in combination with the different attempted opening times;

[0083] The operation and maintenance supervision module is responsible for determining the house intrusion risks and risk rooms of different rooms by verifying the intrusion risks of users in different time periods and the risk verification users, dividing the building into multiple operation and maintenance supervision areas based on preset rules, and determining the risk types of different operation and maintenance supervision areas according to the house intrusion risks and risk rooms of different rooms in different operation and maintenance supervision areas, and determining the operation and maintenance supervision strategies of different operation and maintenance supervision areas according to the risk types.

[0084] By adopting the above embodiments, the present invention achieves the following beneficial effects:

[0085] 1. In the present invention, the facial image of the verified user is recognized through the verification failure access control, so that the verified user with intrusion risk can be identified, and the thief or the user who forcibly enters by abnormal means can be identified and processed in time, thus laying the foundation for targeted inspection and operation and maintenance management, and improving the safety of the building's residents.

[0086] 2. In the present invention, the intrusion risk of the verified user and the risky verified user are determined based on the room data of the verified user's attempted opening and the different opening attempt times. This scheme can effectively identify multiple verified users who attempt to enter without permission, and realize the assessment of the intrusion risk of different verified users based on the time interval between attempts to open and the number of rooms, which also lays the foundation for determining differentiated operation and maintenance supervision strategies.

[0087] 3. In the present invention, by determining the operation and maintenance supervision strategies for different operation and maintenance supervision areas according to the risk types of different operation and maintenance supervision areas, the technical problem of high labor intensity of operation and maintenance management personnel is avoided. At the same time, by comprehensively considering the risk situations of different operation and maintenance supervision areas, the reliability of operation and maintenance supervision for areas with higher risks is guaranteed, and the foundation is also laid for the timely identification of intrusion risks.

[0088] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0089] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0090] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A smart building operation and maintenance management method, characterized in that: Specifically include: When it is determined based on the access control verification data of the access control devices in different rooms inside the building that there is currently an access control device that has failed verification, it is regarded as a failed verification access control, and the facial image of the verification user is recognized through the failed verification access control, and when the facial image does not belong to the registered facial image, the next step is entered; The room data attempted to be opened by the verified user is determined by using the matching results of the historical facial images with different numbers of verification failures of the room corresponding to the verification failure access control and the facial image, and the matching results of the historical facial images with different numbers of verification failures of the room corresponding to the verification failure access control and the historical facial images with different numbers of verification failures of other rooms, and the intrusion risk of the verified user and the risky verified user are determined in combination with the different times of attempted opening; By verifying the intrusion risks of users in different time periods and the risk of verified users, the house intrusion risks and risk rooms of different rooms are determined, and the building is divided into multiple operation and maintenance supervision areas based on preset rules. The risk types of different operation and maintenance supervision areas are determined according to the house intrusion risks and risk rooms of different rooms in different operation and maintenance supervision areas, and the operation and maintenance supervision strategies of different operation and maintenance supervision areas are determined according to the risk types.

2. The smart building operation and maintenance management method according to claim 1, characterized in that: The access control verification data of the access control device is acquired according to the Internet of Things module of the access control device, and specifically, the access control verification data of the access control device is uploaded to the cloud management platform through the Internet of Things module of the access control device.

3. The smart building operation and maintenance management method according to claim 1, characterized in that: The facial image of the verified user is acquired by the camera device of the access control device and uploaded for processing via the Internet of Things module.

4. The smart building operation and maintenance management method according to claim 1, characterized in that: The registered facial image is determined based on the facial image of the user of the room corresponding to the authentication failure access control that is preset.

5. The smart building operation and maintenance management method according to claim 1, characterized in that: The room data of the verified user's attempted opening include the number of rooms that the verified user attempted to open and the number of attempted openings of different rooms.

6. The smart building operation and maintenance management method according to claim 1, characterized in that: The method for determining the intrusion risk of the verified user is: The number of rooms attempted to be opened by the verified user is determined through the room data attempted to be opened by the verified user, and when the number of rooms attempted to be opened by the verified user is greater than the preset number of rooms, the verified user is determined to be a risky verified user, and the intrusion risk of the verified user is determined through the number of rooms attempted to be opened by the verified user; When the number of rooms that the verification user attempts to open is not greater than the preset number of rooms, the room that the verification user attempts to open is used as the verification room, and the intrusion risk assessment amount of the verification user in different verification rooms is determined based on the number of attempts to open different verification rooms and the interval time between different attempts to open, the number of dates with attempted opening within the preset time, and the time interval with the current date; When the verification user has a verification room whose intrusion risk assessment amount does not meet the requirements, the verification user is determined to be a risk verification user, and the intrusion risk of the verification user is determined by the number of verification rooms whose intrusion risk assessment amount does not meet the requirements; When the verification user does not exist in a verification room whose intrusion risk assessment amount does not meet the requirements, the time interval between different verification rooms of the verification user is obtained, and the user verification risk of the verification user is determined in combination with the number of verification rooms on different dates that the verification user attempted to open and the time interval between different verification rooms, and the intrusion risk assessment amount of the verification user in different verification rooms.

7. The smart building operation and maintenance management method according to claim 6, characterized in that: When the intrusion risk of the verification user is greater than the preset verification risk, the verification user is determined to be a risky verification user.

8. The smart building operation and maintenance management method according to claim 1, characterized in that: The building is divided into multiple operation and maintenance supervision areas based on preset rules, including: The operation and maintenance supervision area of ​​the building is determined according to the different floors of the building.

9. The smart building operation and maintenance management method according to claim 1, characterized in that: The method for determining the risk type of the operation and maintenance supervision area is: Determine whether the operation and maintenance supervision area is a preset risk type according to the number of rooms with risk verification users in the operation and maintenance supervision area on the current date, and if so, determine that the risk type of the operation and maintenance supervision area is the preset risk type; if not, proceed to the next step; Determine the basic regional risk of the operation and maintenance supervision area by the proportion of the number of time periods with risk-verified users in the operation and maintenance supervision area on the current date, the number of risk-verified users in different time periods, and the number of rooms with risk-verified users; determine whether the operation and maintenance supervision area is a preset risk type based on the basic regional risk of the operation and maintenance supervision area; if so, determine that the risk type of the operation and maintenance supervision area is the preset risk type; if not, proceed to the next step; Obtain the number of risk rooms in the operation and maintenance supervision area, the proportion of the number of houses in the operation and maintenance supervision area, the house intrusion risks of different rooms, and the basic area risk of the operation and maintenance supervision area to determine the area intrusion risk of the operation and maintenance supervision area, and determine the risk type of the operation and maintenance supervision area through the area intrusion risk.

10. A smart building operation and maintenance management system, using a smart building operation and maintenance management method according to any one of claims 1 to 9, characterized in that: Specifically include: Image recognition module, intrusion risk assessment module, operation and maintenance supervision module; The image recognition module is responsible for determining that there is an access control device that has failed verification based on the access control verification data of the access control devices in different rooms inside the building, and treating it as a failed access control device, and identifying the facial image of the verification user through the failed access control device; The intrusion risk assessment module is responsible for determining the room data attempted to be opened by the verified user by using the matching results of the historical facial images with different verification failure times of the room corresponding to the verification failure access control and the facial image, and the matching results of the historical facial images with different verification failure times of the room corresponding to the verification failure access control and the historical facial images with different verification failure times of other rooms, and determining the intrusion risk of the verified user and the risk verified user in combination with the different attempted opening times; The operation and maintenance supervision module is responsible for determining the house intrusion risks and risk rooms of different rooms by verifying the intrusion risks of users in different time periods and the risk verification users, dividing the building into multiple operation and maintenance supervision areas based on preset rules, and determining the risk types of different operation and maintenance supervision areas according to the house intrusion risks and risk rooms of different rooms in different operation and maintenance supervision areas, and determining the operation and maintenance supervision strategies of different operation and maintenance supervision areas according to the risk types.

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