CN112200940B - A system and method for identifying abnormality in the use status of online room appointments - Google Patents

Abstract

The invention relates to the technical field of access control management, and particularly discloses a system and a method for identifying abnormal use states of a network contract room, wherein the system comprises an intelligent door lock, a door unlocking module and a door locking module, the intelligent door lock is used for acquiring authentication information and verifying when a user enters a door, and unlocking the door after the verification is passed, and the system further comprises: the electronic peephole is used for starting when the door is opened and acquiring video information; the server is used for acquiring video information from the electronic peep hole, carrying out face recognition based on the video information, judging whether a specific person exists in the user entering the room, if so, judging whether the user cannot determine the identity, if so, marking the user as a following person, and generating abnormal information of the person when the user entering the room comprises the specific person and the following person. By adopting the technical scheme of the invention, the use of the room can be supervised.

Description

A system and method for identifying abnormality in the use status of online room appointments

technical field

The invention relates to the technical field of access control management, in particular to a system and method for identifying abnormality in the use state of an online room booking.

Background technique

At present, the accommodation mode of online room booking includes short-term rental, long-term rental apartment, low-cost rental and homestay. Due to the special nature of online room booking, cleaning staff, managers and passengers may all have the authority to open the door. Due to the large number of people who can open the door, people may enter the room without permission, which may easily lead to security problems.

In order to solve the above-mentioned problems, the Chinese Patent Publication No. CN106338928A discloses that the present invention discloses a method and device for detecting the state of entering and leaving the door. The method includes the following steps: monitoring the unlocking verification process and the door opening action; when the unlocking verification process is monitored successively When only the door opening action is detected, it is judged that the current state is entering the door; when only the door opening action is monitored, it is judged that the current state is going out.

The above solution can effectively discriminate and record the state of entering and exiting the door by monitoring the door opening action, which can effectively reduce the situation of people entering the room without permission, and can also trace back when a safety problem occurs to determine the time of occurrence. . However, cleaning staff may use normal cleaning opportunities to bypass the platform and invite friends to stay when there are no passengers in the room. This situation is currently difficult to identify and supervise, and there are certain security risks.

Therefore, there is a need for a system and method for identifying abnormality in the usage state of an online room booking, which can supervise the usage of the room.

SUMMARY OF THE INVENTION

The present invention provides a system and method for identifying abnormality in the use state of a room for an online appointment, which can supervise the use of the room.

In order to solve the above-mentioned technical problems, the application provides the following technical solutions:

A system for identifying abnormal usage status of an online room booking, including an intelligent door lock, which is used for collecting authentication information and verifying when a user enters the door, and unlocking the door after the verification is passed, and further comprising:

Electronic cat's eye, used to start when opening the door and collect video information;

The server is used to obtain video information from the electronic cat's eye, perform face recognition based on the video information, and determine whether there is a specific person among the users entering the room. If there is, it also determines whether there is a user whose identity cannot be determined. If there is, mark it as an accompanying person. The server It is also used to generate personnel exception information when the user entering the room includes specific personnel and accompanying personnel.

The principle and beneficial effects of the basic scheme are as follows:

In this solution, through the cooperation of the smart door lock and the electronic cat's eye, the video information can be collected when the user enters the room, and the server can accurately determine whether there is a specific person and accompanying persons according to the video information. For example, a specific person is a cleaning person. Under normal circumstances, only one cleaning person is required to work in a room, and other irrelevant personnel cannot be brought into the room during work. Other irrelevant personnel can be accurately identified. By generating personnel exception information, it is convenient for subsequent management personnel to obtain and process it. In conclusion, this scheme can effectively supervise the use of the room.

Further, the server is also used to calculate the stay time of the specific person and the accompanying person entering the room, and when the stay time is greater than the first time threshold, the abnormal stay time information is generated.

When a specific person is a cleaning person, the normal cleaning time is relatively fixed, such as 40 minutes. When the cleaning personnel and other irrelevant personnel stay in the room for more than 40 minutes, it may be that the cleaning personnel use their own After the permission is opened, unrelated personnel can check in. By generating abnormal residence time information, this behavior can be discovered in time, which is convenient for subsequent management personnel to deal with it in time.

Further, the smart door lock is also used to record door opening state information, and the door opening state information includes inward opening and outward opening.

It is easy to know from which side the door is opened.

Further, the server is also used to obtain the door opening status information from the smart door lock; after a specific person enters the room alone, the door opening status information appears inward, and when the face recognition cannot determine the identity of the user entering the room, the server will not be able to determine the identity user mark. for accompanying persons.

When a specific person is a cleaning person, it may also happen that after the cleaning person enters the room first, other unrelated persons arrive later, and the cleaning person opens the door for him and helps him enter the room. This preferred solution can effectively identify this situation.

Further, a management terminal is also included, which is used to obtain the abnormal personnel information and the abnormal stay time information from the server.

It is convenient for managers to know the abnormal information of personnel and abnormal stay time in a timely manner through the management terminal.

Further, the management terminal is also used to input the face recognition data of a specific person and store it in the server.

It is convenient for the server to accurately identify a specific person during face recognition.

Further, the authentication information includes one or more of Bluetooth information, password information and NFC information.

Further, the first time threshold is 2-5 hours.

Further, the server is also used to obtain the order information of the passenger, and the order information includes the check-in time, the check-in duration and the model of the mobile phone for placing the order.

A method for identifying an abnormality in the use state of an online room appointment, using the above-mentioned system for identifying the abnormality in the use state of an online room appointment.

In this solution, through the cooperation of the smart door lock and the electronic cat's eye, the video information can be collected when the user enters the room, and the server can accurately determine whether there is a specific person and accompanying persons according to the video information. For example, a specific person is a cleaning person. Under normal circumstances, only one cleaning person is required to work in a room, and other irrelevant personnel cannot be brought into the room during work. Other irrelevant personnel can be accurately identified. The normal cleaning work time is relatively fixed, such as 40 minutes. When the cleaning staff and other irrelevant personnel stay in the room for more than 40 minutes, it may be that the cleaning staff use their own authority to open the door and make irrelevant people. personnel to check in. By generating dwell time anomaly information, this behavior can be detected in time. In conclusion, this scheme can effectively supervise the use of the room.

Description of drawings

FIG. 1 is a logical block diagram of a system for identifying abnormality in the use state of an online room booking according to the first embodiment.

Detailed ways

The following is further described in detail by specific embodiments:

Example 1

As shown in FIG. 1 , a system for identifying abnormal usage status of an online room booking in this embodiment includes an intelligent door lock, an electronic cat's eye, a server, and a management terminal.

The smart door lock is used to collect authentication information and verify when the user enters the door, and unlock the door after the verification is passed. The authentication information includes one or more of Bluetooth information, password information, and NFC information. In this embodiment, password information is used.

The smart door lock is also used to record the door opening status information, which includes inside opening and outside opening. When the door opening action is detected after verification first, it is judged that it is currently open outward; when only the door opening action is detected, it is judged that it is inward opening.

The electronic cat's eye is used to start when the door is opened and collect video information.

The management terminal is also used to input the face recognition data of a specific person and store it in the server. In this embodiment, the specific person is a cleaning person.

The server is used to obtain video information from the electronic cat's eye and the door opening status information from the smart door lock, perform face recognition based on the video information and the face recognition data of a specific person, and determine whether there is a specific person among the users entering the room, and if so, also determine whether There are users whose identities cannot be identified, if so, mark them as accompanying persons;

After a specific person enters the room alone, the door opening status information appears, and when the face recognition cannot determine the identity of the user entering the room, the server will mark the unidentified user as an accompanying person.

The server is also used for generating personnel exception information when the user entering the room includes a specific person and accompanying personnel.

The server is also used to calculate the stay time of the specific person and the accompanying person entering the room, and when the stay time is greater than the first time threshold, abnormal stay time information is generated. The first time threshold is 2-5 hours, which is 5 hours in this embodiment.

The management terminal is also used to obtain personnel abnormality information and residence time abnormality information from the server.

A method for identifying an abnormality in the use state of an online room reservation in this embodiment uses the above-mentioned system for identifying an abnormality in the use state of an online room reservation.

Embodiment 2

The difference between this embodiment and the first embodiment is that the online booking room includes a kitchen, a dining room, a living room, a bathroom, a bedroom, and the like. In the system for identifying abnormal usage status of online room booking in this embodiment, the server is further configured to acquire order information of the passenger, and the order information includes check-in time, check-in duration and the model of the mobile phone for placing the order. The server also matches the mobile phone weight MP in the preset database according to the mobile phone model. The preset database may be a related website on the Internet that includes digital product information, or a related shopping website that sells digital products.

The server also sends the passenger-specific authentication information to the passenger's mobile phone based on the order information. The smart door lock is used to send the collected passenger-specific authentication information to the server, and the server determines that the passenger is checked in based on the passenger-specific authentication information sent by the smart door lock. .

It also includes a camera, a first smart foot pad and a second smart foot pad. The first smart foot pad has a built-in weight sensor and a bluetooth chip. The weight sensor is used to collect weight information. The bluetooth chip is connected to the smart door lock via bluetooth. The bluetooth chip is used for Send the weight information to the smart door lock, and the smart door lock is also used to send the weight information to the server. The second smart foot pad has the same structure as the first smart foot pad. The first smart foot pad is placed outside the door of the online appointment room, and the second smart foot pad is placed at the bathroom door;

The camera is installed in the dining room, and the camera is used to collect image information of the table top in the dining room. In order to ensure privacy, a text prompt "There is a camera here" can be set on the table in the dining room, and an image can be used on the tablecloth to identify the area that can be photographed.

The server is used to collect the total weight MG of the passenger and luggage entering the room based on the first smart foot pad when the passenger checks in for the first time, and the server is also used to collect the changing weight of each entry and exit of the room based on the first smart foot pad when the passenger enters and leaves the room during the check-in period MX0. The changing weight MX0 is obtained from the difference between the weight information when leaving the room and the weight information when entering the room. For example, if you go out empty-handed and come back and screw the product, the difference is positive, that is, the weight of the new product; of course, the difference may also be negative, because there is a situation where the item is not brought back after it is taken out.

The server is configured to collect the changing weight MW0 of each entry and exit of the bathroom based on the second smart foot pad during the passenger's stay. It can be used to correct weight changes caused by consumption of toiletries, etc.

The server is further configured to acquire image information of the camera, identify the food in the image based on the image information, and acquire the corresponding weight MS of the food based on the food information database. The food information database can use data from shopping websites such as Taobao and Jingdong. Can be used to correct for weight changes from eaten food.

The server is further configured to collect the total weight MZ of the passenger and the luggage finally leaving the room based on the first smart foot pad after the passenger checks out. The server is also used to calculate the total change weight MX1 of entering and leaving the room according to the changing weight MX0 of entering and leaving the room each time; the server is also used to calculate the total changing weight MW1 of entering and leaving the bathroom according to the changing weight MW0 of entering and leaving the bathroom each time.

The server is also used to calculate the weight difference MA after the passenger checks out. The calculation formula is:

MA=MG-(MZ+MW1+MX1+MS)

The server is further configured to judge whether the difference between the weight difference MA and the weight MP of the mobile phone is positive and less than the threshold, and if so, it is judged that the mobile phone is suspected to be left behind.

When the passenger-specific authentication information is password information, the server is further configured to start timing from the passenger's departure, and not to change the door opening password within the first preset time. The first preset time is 10-60 minutes. In this embodiment, the criterion for the departure of the passenger is that the weight information of the first smart foot pad returns to zero.

When the passenger-specific authentication information is Bluetooth information or NFC information, the server is also used to start timing from the departure of the passenger, obtain the newly appeared weight MD of the first smart foot pad within the second preset time, determine the newly appeared weight MD, and communicate with the passenger. And whether the total weight MZ of the luggage leaving the room at last is equal, if it is equal, the smart door lock unlocks the door. The second preset time is 5-15 minutes.

In this solution, through the cooperation of the camera, the first smart foot pad and the second smart foot pad, when the passenger checks out and leaves, it is possible to monitor whether they have forgotten to bring items, especially mobile phones. And the timing starts from the departure of the passenger, and the door opening password is not changed within the preset time, so that it is convenient for the passenger to come back and retrieve the mobile phone after discovering that the mobile phone is left behind. For passengers with Bluetooth unlocking or NFC unlocking, since the mobile phone is left in the room, they cannot use Bluetooth unlocking or NFC unlocking, but the total weight MZ of the passenger and luggage that left the room at the end is equal to the new weight MD, and it can be judged that the passenger returns to take the luggage. Mobile phone, unlock the door, easy for passengers to enter the room to get the mobile phone. For passengers with short stay days and few in and out times, the accuracy rate of detecting mobile phone leftovers is higher.

In this implementation, the method for identifying abnormality in the usage state of an online room reservation uses the above-mentioned system for identifying anomalies in the usage state of an online room reservation.

The above are only the embodiments of the present invention, and the invention is not limited to the field involved in this implementation case. The common knowledge such as the well-known specific structure and characteristics in the scheme has not been described too much here, and those of ordinary skill in the art know the filing date or priority. All the common technical knowledge in the technical field of the invention before the date, can know all the prior art in this field, and have the ability to apply the routine experimental means before the date, those of ordinary skill in the art can be given by the present application. Perfecting and implementing this solution in combination with one's own capabilities, some typical well-known structures or well-known methods should not become obstacles for those of ordinary skill in the art to implement the present application. It should be pointed out that for those skilled in the art, some modifications and improvements can be made without departing from the structure of the present invention. These should also be regarded as the protection scope of the present invention, and these will not affect the implementation of the present invention. Effectiveness and utility of patents. The scope of protection claimed in this application shall be based on the content of the claims, and the descriptions of the specific implementation manners in the description can be used to interpret the content of the claims.

Claims (10)

1. The utility model provides a net appointment room user state unusual identification system, includes intelligent lock for gather authentication information and verify when the user enters the door, unblock door after verifying the passing, its characterized in that still includes:

the electronic peephole is used for starting when the door is opened and acquiring video information;

the server is used for acquiring video information from the electronic peephole, carrying out face recognition based on the video information, judging whether a specific person exists in a user entering a room, if so, judging whether an identity user cannot be determined, if so, marking the identity user as a accompanying person, and generating abnormal information of the person when the user entering the room comprises the specific person and the accompanying person;

the networked room comprises a kitchen, a dining room, a living room, a toilet, a bedroom and the like; the server is also used for acquiring order information of the passenger, wherein the order information comprises check-in time, check-in duration and a call placing mobile phone model;

the server is also used for matching the mobile phone weight MP in a preset database according to the mobile phone model; the server also sends passenger-specific authentication information to a mobile phone of the passenger based on the order information, the intelligent door lock is used for sending the collected passenger-specific authentication information to the server, and the server judges that the passenger lives in based on the passenger-specific authentication information sent by the intelligent door lock;

the intelligent door lock further comprises a camera, a first intelligent foot pad and a second intelligent foot pad, wherein a weight sensor and a Bluetooth chip are arranged in the first intelligent foot pad, the weight sensor is used for collecting weight information, the Bluetooth chip is connected with the intelligent door lock in a Bluetooth mode, the Bluetooth chip is used for sending the weight information to the intelligent door lock, and the intelligent door lock is also used for sending the weight information to a server; the second intelligent foot pad has the same structure as the first intelligent foot pad; the first intelligent foot pad is placed outside a doorway of a net-shaped house, and the second intelligent foot pad is placed at a doorway of a toilet;

the camera is arranged in the dining room and used for collecting image information of the dining room desktop;

the server is used for acquiring the total weight MG of the passenger and the baggage entering the room based on the first intelligent foot pad when the passenger first enters the room, and is also used for acquiring the change weight MX0 of entering and exiting the room each time based on the first intelligent foot pad when the passenger enters the room and exits the room; the variable weight MX0 is obtained from a difference value of weight information when going out of the room and weight information when entering the room;

the server is also used for acquiring image information of the camera, identifying food in the image based on the image information and acquiring the corresponding weight MS of the food based on the food information base;

the server is also used for collecting the total weight MZ of the last room leaving of the passenger and the baggage based on the first intelligent foot pad after the passenger leaves the room; the server is also used for calculating the total changed weight MX1 of the entering and exiting rooms according to the changed weight MX0 of the entering and exiting rooms each time; the server is also used for calculating the total variable weight MW1 of the in-out toilet according to the variable weight MW0 of the in-out toilet every time; the server is also used for calculating the weight difference value MA after the passengers are returned, and the calculation formula is as follows:

MA＝MG-(MZ+MW1+MX1+MS)

the server is also used for judging whether the difference between the weight difference value MA and the mobile phone weight MP is positive and smaller than a threshold value, and if yes, the mobile phone is judged to be suspected to be left;

when the special authentication information for the passengers is password information, the server is also used for timing from the departure of the passengers, and the door opening passwords are not changed within a first preset time;

when the special authentication information of the passenger is Bluetooth information or NFC information, the server is further used for starting timing when the passenger leaves, acquiring the emerging weight MD of the first intelligent foot pad within second preset time, judging whether the emerging weight MD is equal to the total weight MZ of the passenger and the luggage which leave the room at last, and if so, unlocking the door by the intelligent door lock.

2. The system for recognizing abnormality in usage state of a cyber-contracting room according to claim 1, wherein: the server is also used for calculating the residence time of the specific personnel and accompanying personnel entering the room, and generating residence time abnormal information when the residence time is greater than a first time threshold value.

3. The system for recognizing abnormality of use status of a cyber-contracting room according to claim 2, wherein: the intelligent door lock is further used for recording door opening state information, and the door opening state information comprises inward opening and outward opening.

4. The system for recognizing abnormality in usage state of a cyber-contracting room according to claim 3, wherein: the server is also used for acquiring door opening state information from the intelligent door lock; when the door opening state information is opened after a specific person enters a room independently, and the face recognition shows that the identity user cannot be determined to enter the room, the server marks the identity user as a company.

5. The system for recognizing abnormality in use status of a network contract room according to claim 4, wherein: the system also comprises a management terminal used for acquiring abnormal information of personnel and abnormal information of the residence time from the server.

6. The system for recognizing abnormality of use status of a cyber-contracting room according to claim 5, wherein: the management terminal is also used for inputting the face recognition data of a specific person and storing the face recognition data in the server.

7. The system for recognizing abnormality in usage state of a cyber-contracting room according to claim 6, wherein: the authentication information includes one or more of bluetooth information, password information, and NFC information.

8. The system for recognizing abnormality of use status of a cyber-contracting room according to claim 7, wherein: the first time threshold is 2-5 hours.

9. The system for recognizing abnormality in usage state of a cyber-contracting room according to claim 8, wherein: the server is also used for acquiring order information of the passenger, wherein the order information comprises check-in time, check-in duration and a call placing mobile phone model.

10. A method for recognizing abnormality in use status of a cyber-concierge house, characterized in that a system for recognizing abnormality in use status of a cyber-concierge house according to any one of claims 1 to 9 is used.

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