KR20170082301A - Method for controlling digital door lock - Google Patents

Abstract

A control method of a digital door lock is disclosed. The digital door lock control method according to an embodiment of the present invention includes: receiving time information on occurrence of a double lock setting event; calculating the number of times the double lock setting event is generated for each time slot; Generating a cumulative distribution function as a set event occurrence frequency, calculating a probability that the double lock setting event is generated up to the time zone in each time zone by the cumulative function graph, giving a score corresponding to the calculated probability And determining that an abnormal situation has occurred if the double lock setting event does not occur until a time point when a score exceeding a predetermined threshold value is given.

Description

[0001] METHOD FOR CONTROLLING DIGITAL DOOR LOCK [0002]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a control method of a digital door lock, and more particularly, to a digital door lock control method capable of detecting an abnormal situation using a digital door lock use pattern of a user as a database.

In general, doors of residential areas (houses, apartments and officetels) are provided with door opening / closing devices for the purpose of restricting access by outsiders. Such a door opening and closing device is widely used as a mechanical door opening / closing device composed of a lock and a key for opening and closing a door by a mechanical structure joining. However, the mechanical door opening and closing device has a problem that a mechanical structure is worn, Impossible situations occur frequently.

In order to overcome the problems of the mechanical door opening / closing apparatus, a digital door opening / closing apparatus has been proposed.

The digital door lock system is provided with a keypad for inputting a password, so that it is common to compare the password entered by the user with the set number to open the door if it is the same and not to open the door if not.

With the use of the digital door lock system, it has become possible to create a database of users' entry and exit patterns that were not known in conventional mechanical door opening and closing apparatuses. For example, it has become possible to create a database for the input / output time, input / output frequency, etc. for each day of the week.

Therefore, there is a need for a new type of digital door lock control method that can analyze the input / output pattern of the users of the database and detect the abnormal situation and notify the user of the abnormality.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a digital door lock control method capable of storing an input / output pattern of a user and analyzing the input / output pattern to detect an abnormal situation.

It is another object of the present invention to provide a digital door lock control method capable of automatically setting a double lock or generating an alarm when an abnormal situation is detected to awaken a user's alertness.

The technical objects of the present invention are not limited to the above-mentioned technical problems, and other technical subjects not mentioned can be clearly understood by those skilled in the art from the following description.

According to another aspect of the present invention, there is provided a digital door lock control method comprising: receiving time information indicating occurrence of a double lock setting event; calculating a number of times the double lock setting event is generated in each time slot; Generating a cumulative distribution function by the number of occurrence of the double lock setting event for each time slot, calculating a probability of occurrence of the double lock setting event up to the time zone in each time slot by the cumulative function graph, And determining that an abnormal situation has occurred if the double lock setting event does not occur until a time point when a score exceeding a preset threshold value is given.

According to an embodiment of the present invention, the step of calculating the number of times the double lock setting event is generated in each of the time zones may include calculating a relative frequency of the number of occurrences of the events occurring in each of the time zones, And a step of calculating

According to an embodiment of the present invention, the step of assigning a score corresponding to the calculated probability may be performed such that the probability that the double lock setting event is generated at a certain time period is higher, And a step of giving a score.

According to an embodiment of the present invention, the step of determining that an abnormal situation occurs when the double lock setting event does not occur until a time point when a score exceeding a predetermined threshold value is provided, And outputting a signal for controlling the door lock.

According to an embodiment of the present invention, the step of outputting the signal for controlling the digital door lock may include the step of outputting different control signals according to the points assigned to the respective time zones.

According to an embodiment of the present invention, the step of outputting different control signals according to the score assigned to each of the time zones may include: if the double lock is not set up until the time point when a score exceeding the first upper limit threshold value is set, Outputting a control signal for generating a notification in the door lock, and outputting a control signal for automatically setting the double lock if the double lock is not set until the time point when a score exceeding the second upper limit threshold value is set, .

According to an embodiment of the present invention, the second upper limit threshold value may have a value larger than the first upper limit threshold value.

According to another embodiment of the present invention, there is provided a digital door lock control method comprising the steps of: receiving door open signal data; calculating a probability that door open signal data is sensed at an arbitrary time zone for each day as the door open signal data; Determining that an abnormal situation has occurred when the door open signal data is sensed at a time point when the predetermined score is less than a predetermined threshold value;

According to an embodiment of the present invention, the step of determining that the abnormal situation has occurred may include a step of determining that the abnormal situation occurs when the number of the door open signal data exceeds a predetermined threshold value have.

According to an embodiment of the present invention, the step of calculating the probability that the door open signal data is sensed at an arbitrary time zone for each day of the week includes the steps of generating a cell having coordinates at which the day of the week information and the time information intersect, And calculating a probability that the door open signal data is sensed in each cell.

According to an embodiment of the present invention, the step of assigning a score corresponding to the calculated probability may include the step of assigning a score corresponding to the probability that the door open signal data is sensed in each cell by each cell have.

According to an embodiment of the present invention, the step of assigning a score corresponding to a probability that the door open signal data is sensed in each of the cells to each of the cells may include: And giving a higher score than a cell in which the door open signal is less likely to be sensed.

According to an embodiment of the present invention, the method may further include generating a management reference line connecting cells where the score assigned to each cell is less than a preset threshold value, And determining that an abnormal situation has occurred when the door open signal data is sensed in the cell included in the management reference line.

According to an embodiment of the present invention, the step of determining that the abnormal situation occurs includes notifying that the door open signal data is sensed to the mobile phone number of the pre-registered user when it is determined that the abnormal situation has occurred can do.

According to an embodiment of the present invention, the step of determining that the abnormal situation has occurred may include a step of outputting a signal for controlling the lock state of the digital door lock not to be released when it is determined that an abnormal situation has occurred.

The computer program according to an embodiment of the present invention includes a step of receiving time information in which a double lock setting event is generated in combination with a computer device, calculating the number of times the double lock setting event is generated in each time slot, Generating a cumulative distribution function as the number of occurrence of the double lock setting event for each of the time zones, calculating a probability of occurrence of the double lock setting event up to the time zone for each time zone by the cumulative function graph, calculating a score corresponding to the calculated probability And determining that an abnormal situation occurs if the double lock setting event does not occur until a time point when a score exceeding a predetermined threshold value is given is executed on the computer readable recording medium.

A computer program according to another embodiment of the present invention includes a step of receiving door open signal data in combination with a computer device and calculating a probability that door open signal data is sensed at an arbitrary time zone for each day by the door open signal data Determining whether an abnormal situation occurs when the door open signal data is sensed at a time point at which the score is less than a predetermined threshold value; .

As described above, by analyzing the usage pattern of a plurality of digital door locks, it is possible to provide a useful service to users by sensing an abnormal situation.

1 is a system diagram for explaining a digital door lock control system according to an embodiment of the present invention.
2 is a view for explaining double lock setting data received in a plurality of digital door locks according to an embodiment of the present invention.
FIG. 3 is a diagram illustrating a graph showing the number of times events are generated according to an exemplary embodiment of the present invention.
FIG. 4 is a diagram for explaining a method of generating an accumulated distribution function by the number of times of occurrence of an event by time according to an embodiment of the present invention.
FIG. 5 illustrates a process of assigning a predetermined score to each time slot according to an embodiment of the present invention. Referring to FIG.
FIG. 6 is a flowchart illustrating a method of analyzing a double lock setting pattern according to an embodiment of the present invention.
FIG. 7 is a diagram for explaining a method for detecting an abnormal situation by analyzing a door open pattern according to an embodiment of the present invention.
FIG. 8 is a diagram illustrating a process of assigning a score corresponding to a probability that door open signal data is sensed according to an embodiment of the present invention.
9 is a diagram for explaining a case where a notification message is transmitted to a user when an abnormal situation is detected according to an embodiment of the present invention.
10 is a flowchart illustrating a method of controlling a digital door lock using a pattern in which door open signal data is sensed according to an embodiment of the present invention.
11 is a functional block diagram for explaining a digital door lock control apparatus 100 according to another embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

Also, the singular forms herein may include plural forms unless specifically stated in the text. It is noted that the terms "comprises" and / or "comprising" used in the specification are intended to be inclusive in a manner similar to the components, steps, operations, and / Or additions.

1 is a system diagram for explaining a digital door lock control system according to an embodiment of the present invention.

A digital door lock control system according to an embodiment of the present invention includes a digital door lock control apparatus 100 and a plurality of digital door locks 200-a, 200-b, and 200-c.

The digital door lock control apparatus 100 is connected to a plurality of digital door locks 200-a, 200-b, and 200-c in a wire / wireless fashion. Therefore, from the plurality of digital door locks 200-a, 200-b, and 200-c, the time at which each digital door lock is opened, the locked time, the time information in which the double lock is set, and the like can be received.

Here, the double lock means a mode in which the digital door lock is not released even when a password is input from the outside. For example, if a digital door lock is installed in a home, if all the family members are in the house, a double lock can be set so that a person can not enter the home.

The digital door lock control apparatus 100 receiving the usage patterns from the plurality of digital door locks 200-a, 200-b, and 200-c can analyze the abnormal state by analyzing the usage patterns. For example, when the locking of the digital door lock installed at a specific position is not normally performed, it is determined that an abnormal situation is present and a control signal for generating a notification signal in the digital door lock can be transmitted to the digital door lock.

Or if a double lock is not set in a time zone in which a double lock is to be set, a control signal capable of automatically double locking the digital door lock can be transmitted to the corresponding digital door lock.

As described above, it is possible to provide useful services to users by analyzing the situation patterns of the plurality of digital door locks 200-a, 200-b, and 200-c and detecting an abnormal situation .

Hereinafter, an embodiment of analyzing a double lock setting pattern and automatically setting a double locking pattern, and an embodiment of detecting an abnormal situation by analyzing a door opening pattern will be described.

1st Example  - Double lock configuration pattern analysis

2 is a view for explaining double lock setting data received in a plurality of digital door locks according to an embodiment of the present invention.

Digital door locks are installed in apartment complexes such as apartments, and a number of similar signal data are generated in installed communities. At this time, unlike continuous data, data received from the digital door lock is discrete data generated by generation of discrete events such as opening, locking, and double lock setting.

FIG. 2 shows the double lock setting data received in any digital door lock.

The double lock setting data according to an embodiment of the present invention can be arranged in a two-dimensional array in date and time order. Specifically, in the graph shown in FIG. 2, the x-axis means date and the y-axis means time. At this time, the date may include information indicating the day of the week.

Here, the circular first identifiers 210 indicate the time zone in which the double lock is established, and the second identifiers 220 indicate the time zone in which the double lock is released. Referring to FIG. 2, it can be seen that the time zone where the double lock is set and the time zone where the double lock is released have a certain pattern.

Specifically, the first identifiers 210 indicating the time zone in which the dual lock is set are mostly generated between 0 and 2, and the second identifiers 220 indicating the time zone in which the double lock is released are displayed at 6:00 ~ And the frequency of occurrence is high between 8 o'clock.

The digital door lock control apparatus 100 can set the criteria for the abnormality detection using the collected data as shown in FIG. For example, the reference value can be calculated statistically and, when new data is received, the reference value can be adjusted using this data.

The moving average, the exponential smoothing method, and the Bayesian approach method can be used as specific methods for adjusting the reference value. Thereafter, when the double lock is set or released in the time zone beyond the reference value, it can be determined that an abnormal situation has occurred.

A specific method of calculating the reference value and comparing the new data with the reference value and detecting the abnormal situation will be described in detail with reference to FIG. 3 to FIG.

FIG. 3 is a diagram illustrating a graph showing the number of times events are generated according to an exemplary embodiment of the present invention.

In order to analyze the user's pattern related to the double lock setting, it is first necessary to calculate the number of times of occurrence of the event "double lock setting" in each time zone. FIG. 3 is a graph showing the number of events occurring in each of the time zones among the total number of times the double lock setting event has occurred, as a relative frequency.

In the embodiment shown in FIG. 3, it can be seen that the ratio of the number of times the double lock is set at 25 o'clock (1 o'clock in the morning) accounts for about 30% of the total number of times the double lock is set. Likewise, the number of times the double lock is set at 26 o'clock (2 o'clock in the morning) is about 30% of the total number of times the double lock is set.

On the other hand, it can be seen that the number of times the double lock is set is zero after 25:00 (1:00 am) and 30:00 (6:00 am). This means that the time zone in which the user sets the double lock is concentrated at 25 to 27 hours.

When the number of occurrences of the event by time frame is calculated, it is converted into a cumulative distribution function.

FIG. 4 is a diagram for explaining a method of generating an accumulated distribution function by the number of times of occurrence of an event by time according to an embodiment of the present invention.

The digital door lock control apparatus 100 generates the cumulative function graph shown in FIG. 4 by accumulating the number of times of " double lock setting " In the graph shown in FIG. 3, the double lock setting event occurs intensively at 25 to 26 hours, and it can be seen that the slope of the graph has a large value at 25 to 26 o'clock in the cumulative function graph. On the other hand, since the "double lock setting" event does not occur after 30:00, the cumulative function graph maintains a constant value.

If the cumulative function graph is generated through the above process, the probability that the "double lock setting" is activated until the corresponding time in each time zone can be calculated. For example, if the time interval is set to 1 hour, the probability that a double lock will be set up until 25 o'clock, and the probability that a double lock will be set until 26 o'clock can be calculated.

In this embodiment, since most of the " double lock setting " events occurred between 24:00 and 26:00, the probability of double locking being set at that time is high.

When the probability that the double lock is set up for each time slot is calculated, the predetermined score can be given for each time slot using the probability. Then, based on this score, a predetermined action can be taken.

FIG. 5 illustrates a process of assigning a predetermined score to each time slot according to an embodiment of the present invention. Referring to FIG.

According to an embodiment of the present invention, when the probability of occurrence of the " double lock setting " event is calculated for each time zone by the corresponding time zone, a predetermined score corresponding thereto can be given.

At this time, the score assigned to each time zone increases as the probability of occurrence of the " double lock setting " On the other hand, the lower the probability that a " double lock set " event occurs up to an arbitrary time, the lower the score can be given.

For example, referring to FIG. 5, there is no case where the " double lock setting " event occurs before 24 o'clock, so that 0 point can be given before 24 o'clock.

On the other hand, since the frequency of occurrence of the " double lock setting " event after 25:00 is high, the probability of occurrence of the " double lock setting " Therefore, a score higher than 0 can be given in the corresponding time zone. After 27 o'clock, the highest score can be given since the probability of the "double lock setting" event occurring at that time is high.

Accordingly, if the " double lock setting " event does not occur until a time point exceeding a predetermined threshold value is given, the digital door lock control apparatus 100 according to an embodiment of the present invention may transmit a control signal Can be generated.

For example, the digital door lock control apparatus 100 may generate a notification signal to notify that the " double lock setting " event does not occur, or may generate a control signal to automatically set " double lock ".

Therefore, when the user does not set the " double lock setting " unlike the normal pattern, the user can be notified or the double lock can be automatically set to improve the user's convenience.

However, when analyzing the usage pattern using the " double lock setting " data according to the embodiment described above, a plurality of sensing data should be used. The greater the number of data associated with the " dual locked " setting, the more accurately the user's digital door lock usage pattern can be analyzed.

Accordingly, the digital door lock control apparatus 100 according to the embodiment of the present invention can perform the above-described analysis only when the number of sensing data related to the " double lock setting " exceeds a predetermined threshold value.

In the embodiments described in Figs. 2 to 5, the data related to the " double lock setting " is received from only one digital door lock and the usage pattern is analyzed. However, in order to improve the accuracy, It may be implemented to receive data related to " double lock setting " and analyze the average usage pattern.

FIG. 6 is a flowchart illustrating a method of analyzing a double lock setting pattern according to an embodiment of the present invention.

The digital door lock control apparatus 100 receives the time information on the occurrence of the double lock setting event from the digital door lock connected by wire or wireless (S610). The time information may include time information in which the user sets the double lock, date information, and day of the week information.

At this time, when the digital door lock is installed in a residential group such as an apartment complex, the digital door lock control device 100 can receive the above-described time information from a plurality of digital door locks included in the group.

Thereafter, the digital door lock control apparatus 100 calculates the number of times the double lock setting event is generated in each time slot (S620). For example, when calculating the number of times the event is calculated at an interval of one hour, it is possible to calculate how many times the event is set at 24:00 and how many times the event is set at 25:00 have.

At this time, the time zone in which the number of times of occurrence of the event is calculated may be changed according to the setting of the user. If the user wishes to calculate the number of times of occurrence of the event by time segment, the time interval may be set shorter.

However, in this case, since more resources of the digital door lock control apparatus 100 are required to analyze the data, it should be noted that an optimum time interval should be set according to the computing capability of the digital door lock control apparatus 100. [

When the number of occurrences of the event by time is calculated, the cumulative distribution function is generated using the calculated number of times (S630). Here, the cumulative distribution function means a graph generated by accumulating the number of times the double lock setting event has occurred up to each time period.

When the cumulative distribution function is generated, the probability of occurrence of the double lock setting event up to the time zone in each time slot is calculated (S640). For example, the probability of occurrence of the double lock setting event by 24:00, the probability of occurrence of the double lock setting event by 25:00, and the like are calculated. If the user's life pattern is set to double-lock after returning home before 24 o'clock, the double lock setting event will be high until 24 o'clock.

When the probability is calculated, a score corresponding to the calculated probability is given (S650). At this time, the higher the probability that the double lock setting event occurs up to a certain time, the higher the score can be given.

For example, when analyzing a user's digital door lock usage pattern, if the probability of setting a double lock by 23 o'clock is 20% and the probability of establishing a double lock by 25 o'clock is 70% The higher the score.

Thereafter, the digital door lock control apparatus 100 determines that an abnormal situation occurs (S660) if a double lock setting event does not occur until a time point exceeding a preset threshold value is given.

Here, the abnormal situation means that the double lock is not set even though the double lock should be set in consideration of the life pattern of the user. If it is determined that an abnormal situation has occurred, the digital door lock control apparatus 100 may output a control signal for generating a notification sound in the digital door lock.

Or may output a control signal for causing the digital door lock to automatically set the double lock.

The form of the control signal generated in the digital door lock may vary depending on the score given in the corresponding time zone. For example, if a double lock is not set up in a time zone in which a score exceeding the first upper limit threshold is set, a control signal for generating a buzzer in the digital door lock can be output.

On the other hand, if the double lock is not set until the time point when the score exceeding the second upper limit threshold is extended, the digital door lock can also output a control signal to automatically set the double lock. Here, the second upper limit threshold value may have a value larger than the first upper limit threshold value.

For example, if the user's life pattern mainly sets a double lock at the 24 hour zone, if the double lock is not set so that the 24 elapsed time elapses, a control signal for causing the digital door lock to generate a buzzer sounds, Lt; / RTI >

Thereafter, a control signal may be received from the digital door lock controller 100 to allow the digital door lock to automatically set the double lock unless a double lock is set so that the time elapses at 25 o'clock.

As described above, when the digital door lock is controlled by using a database of the user's life pattern, if the user does not set the double lock, the user can be guided to set the double lock or can set the double lock automatically. It is possible to achieve an effect that convenience can be achieved.

Second Example  - Door open  Pattern analysis

FIG. 7 is a diagram for explaining a method for detecting an abnormal situation by analyzing a door open pattern according to an embodiment of the present invention.

The digital door lock control apparatus 100 according to the embodiment of the present invention receives information on the door opening time of the digital door lock and sets a normal door opening pattern and when a door is opened at an abnormal time using a statistical method Can be detected.

For example, if the user of the digital door lock is a worker, the door open signal data will be sensed after the office time, the time of day off, and the time of work. On the other hand, door open signal data will not be sensed during the working hours in the workplace.

However, in the case of a holiday, the door open signal data can be sensed regardless of the above-described pattern. Accordingly, when the door open signal data of the digital door lock is received and analyzed, the input / output pattern of the digital door lock user can be analyzed. When the door open signal data is received at the time of the deviation from the pattern, .

To this end, the digital door lock control apparatus 100 according to an embodiment of the present invention receives door open signal data of a digital door lock. The door open signal data may include time information on which the door open is sensed, day of the week information, and date information. However, the information that may be included in the door open signal data is not limited thereto, and other information may be further included.

When the door open signal data received from the digital door lock is shown in a graph, a graph as shown in FIG. 7 is generated.

When the door open signal data is sufficiently accumulated, the digital door lock control apparatus 100 calculates the probability that the door open signal data is sensed at a certain time zone for each day of the week.

According to one embodiment of the present invention, when the door open time zone data is analyzed at intervals of one hour, the probability that the door open data will be sensed between 9:00 and 10:00 on Monday and the door open data between 10:00 and 11:00 are sensed Probability and the like can be calculated.

However, the time interval for analyzing the door opening time data is not limited to this, and the digital door lock control apparatus 100 may be configured to analyze the data at intervals of 10 minutes or at intervals of 3 hours.

When the probability that the door open signal data is sensed by each day of the week and each time slot is calculated, a score corresponding to the calculated probability is given.

Thereafter, it is possible to judge the occurrence of an abnormal situation according to the score given through the above-mentioned process.

FIG. 8 is a diagram illustrating a process of assigning a score corresponding to a probability that door open signal data is sensed according to an embodiment of the present invention.

The digital door lock control apparatus 100 according to an embodiment of the present invention can generate a cell in which the day of the week information and the time information cross each other. Here, the cell means a coordinate where each date information and time information intersect. Since the day information may be included in the date information, the cell may be a coordinate where the day information and the time information cross each other.

For example, one cell can be created at a point where the day of the week information is Monday and the time information is 9:00 to 10:00. In the same way, each cell can be generated for each of the intersecting points on different days and different time zones.

Thereafter, the digital door lock control apparatus 100 calculates the probability that the door open data is sensed for each cell, and gives a score corresponding to the probability.

In this case, the score assigned to each cell may be given a higher score than a cell having a lower probability of sensing the door open signal, as the probability that the door open signal is sensed in the corresponding cell is higher.

Meanwhile, the digital door lock control apparatus 100 according to an embodiment of the present invention generates a management reference line 810 to which cells having a score less than a predetermined threshold value are connected to each cell, and includes a management reference line 810 It can be determined that an abnormal situation has occurred when the door open signal data is sensed in the cell.

For example, when the door opening data is analyzed from a user's door opening pattern and the probability that door opening data is sensed during the day from Monday to Friday is low, the digital door lock control apparatus 100 generates a management reference line 810 connecting the cells do.

When the door open data is sensed in the cell included in the management reference line 810, it is determined that an outsider has intruded, so that a notification message can be transmitted to the user or a notification sound can be generated in the digital door lock.

However, when the number of door open data is small, it is very likely that a large number of management baselines 810 will be generated and false alarms will be generated. Therefore, only when the number of door open data exceeds a predetermined threshold value, Can be controlled to be generated.

This is because the more open the door open data, the more accurately the user can open the door open pattern.

9 is a diagram for explaining a case where a notification message is transmitted to a user when an abnormal situation is detected according to an embodiment of the present invention.

The digital door lock control apparatus 100 can notify the user 300 when the door open signal data is sensed in a cell where the probability that the door open signal data is sensed is lower than a predetermined threshold value. The digital door lock control apparatus 100 according to an embodiment of the present invention can notify the fact that the door open signal data is sensed by transmitting an SMS message to the mobile phone number of the pre-registered user 300. [

For example, if the door opening signal data is sensed even though the probability that the door opening signal data is sensed during the weekday day is analyzed as a result of analyzing the door opening pattern of the user, it is determined that an outside person is intruded, I can notify you.

The user 300 notified of the door open from the digital door lock control apparatus 100 can take measures such as notifying the notification authority.

In the above-described embodiment, the user 300 is informed of the fact that the door open signal data is sensed through the SMS. However, the present invention is not limited to this, and the user 300 may be notified through other means have.

Alternatively, it is also possible to output a control signal to prevent the digital door lock 200 from being unlocked when the door open signal data is sensed in a cell to which a score less than a preset threshold value is not notified to the user 300 have.

The digital door lock 200 receiving the above-described control signal can prevent the lock from being released even when a normal password is input, thereby preventing the intrusion of an outside person.

10 is a flowchart illustrating a method of controlling a digital door lock using a pattern in which door open signal data is sensed according to an embodiment of the present invention.

The digital door lock control apparatus 100 receives door open signal data from the digital door lock (S1010). Here, the door open signal data means a signal received from the digital door lock when a password or the like is input to the digital door lock and the locked state is released.

At this time, the door open signal data received from the digital door lock may include time information, day of the week information, date information, etc. of the locked state of the digital door lock.

Then, the digital door lock control apparatus 100 calculates the probability that the door open signal data is sensed at an arbitrary time zone for each day by the door open signal data (S1020). For example, the probability that the door open signal data will be sensed between 9 am and 10 am on Monday and the door open signal data will be sensed between 3 pm and 4 pm on Tuesday.

However, the digital door lock control apparatus 100 according to the embodiment of the present invention can calculate the above-described probability when the number of door open signal data exceeds a predetermined threshold value to increase the reliability. This is because the reliability of the calculated probability increases as the number of data increases.

When the probability that the door open signal data is sensed at an arbitrary time zone for each day of the week is calculated, a score corresponding to the calculated probability is given (S1030). The digital door lock control apparatus 100 according to an exemplary embodiment of the present invention generates a cell having coordinates where the day of the week information and the time information intersect with each other, calculates the probability that the door open signal data is sensed for each cell, A corresponding score may be given.

The process of generating a cell and assigning a score to each cell has been described in detail with reference to FIG. 8, so that redundant description will be omitted.

If the door open signal data is sensed at a point where the score is less than a predetermined threshold value, it is determined that an abnormal situation has occurred (S1040). That is, considering the usual pattern in which the door open signal data is received, when the door open signal data is received at a time different from usual, it is judged that a situation in which an outside person enters the room occurs.

As described above, when an abnormal situation is detected in consideration of a door open pattern of a user, it is possible to detect an intruder or the like of an outsider and to cope with it by a user.

11 is a functional block diagram for explaining a digital door lock control apparatus 100 according to another embodiment of the present invention.

A device 1100 according to another embodiment of the present invention shown in FIG. 11 includes a processor 1110, a storage 1120, a memory 1130, a NIC 1140, and a bus 1150. 11, only those components related to the embodiment of the present invention are shown, and those skilled in the art can further include general components other than the components shown in FIG. .

A device 1100 in accordance with an embodiment of the present invention includes a processor 1110, a storage 1120, a memory 1130, a NIC 1140 and a bus 1150. [

The processor 1110 may execute a program for controlling the digital door lock. However, the program that can be executed in the processor 1110 is not limited thereto, and other general-purpose programs may be executed.

The storage 1120 stores a program for controlling the digital door lock.

The program for controlling the digital door lock stored in the storage 1120 includes the steps of receiving time information of occurrence of the double lock setting event, calculating the number of times the double lock setting event is generated in each time slot, Generating a cumulative distribution function as the number of times of occurrence of the event, calculating a probability of occurrence of the double lock establishment event up to the time zone in each time zone by the cumulative function graph, assigning a score corresponding to the calculated probability, And a step of determining that an abnormal situation has occurred if the double lock setting event does not occur until a time point when a score exceeding the set threshold value is given.

The digital door lock control program according to another embodiment of the present invention includes the steps of receiving door open signal data, calculating the probability that door open signal data is sensed at an arbitrary time zone for each day of the week with the door open signal data, And determining that an abnormal situation has occurred when the door open signal data is sensed at a time when the score is less than a predetermined threshold value.

The memory 1130 loads the digital door lock control program. The digital door lock control program loaded into the memory 1130 is executed by the processor 1110.

The network interface 1140 may be coupled to other computing devices. For example, it may be connected to a plurality of digital door locks 200-a and 200-b 200-c to receive time information or door open signal data in which a double lock setting event is generated.

 The bus 1150 serves as a data movement path through which the processor 1110, the storage 1120, the memory 1130, and the NIC 1140 described above are connected.

Meanwhile, the above-described method can be implemented in a general-purpose digital computer that can be created as a program that can be executed by a computer and operates the program using a computer-readable recording medium. In addition, the structure of the data used in the above-described method can be recorded on a computer-readable recording medium through various means. The computer-readable recording medium includes a storage medium such as a magnetic storage medium (e.g., ROM, floppy disk, hard disk, etc.), optical reading medium (e.g., CD ROM,

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed methods should be considered from an illustrative point of view, not from a restrictive point of view. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (17)

Receiving information on a time at which the double lock setting event occurred;
Calculating a number of times the double lock setting event is generated in each time slot;
Generating a cumulative distribution function by the number of occurrence of the double lock setting event for each time slot;
Calculating a probability of occurrence of the double lock setting event up to the time zone in each time zone using the cumulative function graph;
Assigning a score corresponding to the calculated probability; And
And determining that an abnormal situation occurs if the double lock setting event does not occur until a time point when a score exceeding a predetermined threshold value is given. The method according to claim 1,
Wherein the step of calculating the number of times the double lock setting event is generated for each of the time zones comprises:
And calculating the relative frequency of the number of occurrences of the events occurring in each of the time zones among the total number of times the double lock setting event has occurred. The method according to claim 1,
Wherein the step of assigning a score corresponding to the calculated probability comprises:
And assigning a higher score to the event when the probability of occurrence of the event is lower as the probability of occurrence of the double lock setting event is higher in a certain time zone. The method according to claim 1,
Determining that an abnormal situation occurs when the double lock setting event does not occur until a time point when a score exceeding a predetermined threshold value is given,
And outputting a signal for controlling the digital door lock if it is determined that the abnormal situation has occurred. 5. The method of claim 4,
Wherein the step of outputting a signal for controlling the digital door lock comprises:
And outputting a different control signal according to a score assigned to each of the time zones. 6. The method of claim 5,
The step of outputting different control signals according to the scores given in the respective time zones,
Outputting a control signal for generating a sound in the digital door lock if a double lock is not set until a time point when a score exceeding the first upper limit threshold value is set; And
And outputting a control signal for causing the digital door lock to automatically set a double lock if a double lock is not set until a time point when a score exceeding the second upper limit threshold is set. The method according to claim 6,
And the second upper limit threshold value is greater than the first upper limit threshold value. Receiving door open signal data;
Calculating a probability that the door open signal data is sensed at an arbitrary time zone for each day of the week with the door open signal data;
Assigning a score corresponding to the calculated probability; And
And determining that an abnormal situation occurs when the door open signal data is sensed at a time when the score is less than a preset threshold value. 9. The method of claim 8,
Wherein the step of determining that the abnormal situation has occurred comprises:
And determining that the abnormal situation has occurred when the number of the door open signal data exceeds a preset threshold value. 9. The method of claim 8,
Wherein the step of calculating the probability that the door open signal data is sensed at an arbitrary time zone for each day of the week,
Generating a cell that is a coordinate where the day of the week information and the time information intersect; And
And calculating the probability that the door open signal data is sensed in each of the cells for each cell. 11. The method of claim 10,
Wherein the step of assigning a score corresponding to the calculated probability comprises:
And providing a score corresponding to a probability that the door open signal data is sensed in each cell by the cell. 12. The method of claim 11,
The step of assigning a score corresponding to a probability that the door open signal data is sensed in each cell by the cell,
And providing a score higher than a cell having a lower probability of sensing the door open signal as the probability that the door open signal is sensed in each cell is higher. 13. The method of claim 12,
Generating a management reference line connecting the cells whose scores are less than a predetermined threshold value,
Wherein the step of determining that the abnormal situation has occurred comprises:
And determining that an abnormal situation occurs when the door open signal data is sensed in a cell included in the management reference line. 14. The method of claim 13,
Wherein the step of determining that the abnormal situation has occurred comprises:
And notifying that the door open signal data is sensed to the mobile phone number of the pre-registered user when it is determined that the abnormal situation has occurred. 14. The method of claim 13,
Wherein the step of determining that the abnormal situation has occurred comprises:
And outputting a signal for controlling the locking state of the digital door lock so as not to be released if it is determined that the abnormal situation has occurred. In combination with the computer device,
Receiving information on a time at which the double lock setting event occurred;
Calculating a number of times the double lock setting event is generated in each time slot;
Generating a cumulative distribution function by the number of occurrence of the double lock setting event for each time slot;
Calculating a probability of occurrence of the double lock setting event up to the time zone in each time zone using the cumulative function graph;
Assigning a score corresponding to the calculated probability; And
And determining that an abnormal situation has occurred if the double lock setting event does not occur until a time point when a score exceeding a preset threshold value is given. In combination with the computer device,
Receiving door open signal data;
Calculating a probability that the door open signal data is sensed at an arbitrary time zone for each day of the week with the door open signal data;
Assigning a score corresponding to the calculated probability; And
Determining that an abnormal situation has occurred when the door open signal data is sensed at a time point when the score is less than a predetermined threshold value;

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