KR102605945B1 - Smart desk management system - Google Patents

Abstract

The present invention relates to a smart desk management system, and specifically to a smart desk management system that can integrate and manage smart desks operated in an autonomous seat arrangement method. To this end, the smart desk management system has an input unit that receives login information for each user through each embedded terminal embedded in each smart desk, classifies the login information according to the unique identification number of each embedded terminal, and generates autonomous arrangement information. A generation unit that draws an autonomous seat layout that can manage attendance using the autonomous arrangement information and a preset desk layout, a seat management unit that draws an autonomous seat arrangement that can manage attendance, and a seat confirmation signal that is fed back as the autonomous seat arrangement is provided through each built-in terminal. Thus, it includes an integrated service unit that activates the teleconferencing service for each embedded terminal.

Description

SMART DESK MANAGEMENT SYSTEM}

The present invention relates to a smart desk management system, and specifically to a smart desk management system that can integrate and manage smart desks operated in an autonomous seat arrangement method.

In general, a smart office refers to an IT-based office that allows work to be done remotely rather than having to go to an office in the city. This smart office is a desktop virtualization technology that uses server-based computing technology, and users can access the virtual desktop on the server through their personal computer and use the company's computer.

However, in a conventional smart office, seats are fixed, and if a new seat is to be assigned, not only is there the inconvenience of having to re-set the seat, but there is also the problem of incurring additional costs.

The present invention is to solve the above problems, and the purpose of the present invention is to activate remote conference services and cloud access services according to attendance information by using the embedded terminal embedded in a smart desk operated in an autonomous seat arrangement method. The purpose is to provide a smart desk management system that can

In addition, the purpose is to provide a smart desk management system that can block cloud access rights to the embedded terminal based on an alternative access signal transmitted from a linking device linked to the embedded terminal.

The above and other objects and advantages of the present invention will become apparent from the following description of preferred embodiments.

In order to achieve the above object, the smart desk management system according to an embodiment of the present invention includes an input unit that receives login information for each user through each embedded terminal embedded in each smart desk, and an input unit that receives the login information from each embedded terminal. A generation unit that generates autonomous arrangement information by classifying it according to a unique identification number, a seat management unit that draws an autonomous seat arrangement plan capable of attendance management using the autonomous arrangement information and a preset desk arrangement diagram, and each embedding of the autonomous seat arrangement diagram. It includes an integrated service unit that activates a remote conference service for each embedded terminal based on the seat confirmation signal that is fed back as provided through the terminal.

In an embodiment, the integrated service unit selectively blocks the cloud access rights granted to each embedded terminal based on an alternative access signal relayed through each embedded terminal from each interlocking device provided on each smart desk.

In an embodiment, the integrated service unit includes an interlocking management unit that receives user images taken at regular intervals through a camera provided in one of the smart desks, and an object that detects a face object recognized from the user images. An analysis unit, a counting unit that counts the number of times the gaze is diverged based on whether the face object is looking in a specific direction, a level evaluation unit that evaluates the level of work concentration based on the number of times the gaze is diverged, and the level of work concentration. Accordingly, it includes a seat recommendation unit that recommends the seat location selected through the preset seat arrangement method with customized seat information through the corresponding embedded terminal embedded in one of the smart desks.

In an embodiment, the seat management unit proposes exchange target seat information to both sides through a pair of embedding terminals selected to exchange seats between users based on the customized seat information, and the pair of embedding terminals. It includes a monitoring unit that automatically transmits an approval signal for the exchange target seat information to the pair of embedded terminals, based on the power-off state of the pair of interlocking devices.

In an embodiment, the monitoring unit remotely automatically adjusts the display magnification information of the PC device of the corresponding linking device that is linked to the one embedded terminal, based on the font size information output through the one embedded terminal. .

In an embodiment, the object analysis unit includes a collection unit that collects patient face images for each type of occupational disease, a learning unit that learns the patient face images for each type of occupational disease through machine learning to generate an artificial intelligence-based classification model for each type of occupational disease, and the face object. Based on each output value derived by applying the classification model for each type of occupational disease, a classification unit that classifies the subject as a suspected occupational disease, and when the face object is classified as a subject suspected of an occupational disease, a classification unit is classified according to the subject suspected of an occupational disease during the health examination period. It includes an automatic reception unit that automatically registers outpatient treatment on the set hospital server.

According to an embodiment of the present invention, the remote meeting service and cloud access service according to attendance information can be activated using the corresponding embedded terminal embedded in each smart desk operated in an autonomous seat arrangement method.

In addition, based on the alternative access signal relayed through each embedded terminal from each interlocking device provided on each smart desk, cloud access rights granted to each embedded terminal are selectively blocked, thereby strengthening security and increasing convenience. You can do it.

Figure 1 is a diagram schematically showing a smart desk management system 1000 according to an embodiment of the present invention.
FIG. 2 is an embodiment of the first smart desk 10 of FIG. 1.
Figure 3 is an example view of a screen serviced through each embedded terminal (20_1 to 20_N).
Figure 4 is a block diagram showing an embodiment of the integrated service unit 140 of Figure 1.
Figure 5 is a block diagram showing an embodiment of the seat management unit 130 of Figure 1.
FIG. 6 is a block diagram showing an embodiment of the object analysis unit 142 of FIG. 4.

Hereinafter, the present invention will be described in detail with reference to embodiments of the present invention and drawings. These examples are merely presented as examples to explain the present invention in more detail, and it will be apparent to those skilled in the art that the scope of the present invention is not limited by these examples. .

Additionally, unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by a person skilled in the art to which the present invention pertains, and in case of conflict, this specification including definitions The description will take precedence.

In order to clearly explain the proposed invention in the drawings, parts unrelated to the description have been omitted, and similar reference numerals have been assigned to similar parts throughout the specification. And, when it is said that a part "includes" a certain component, this means that it does not exclude other components, but may further include other components, unless specifically stated to the contrary. Additionally, “unit” as used in the specification refers to a unit or block that performs a specific function.

Identification codes (first, second, etc.) for each step are used for convenience of explanation. The identification codes do not describe the order of each step, and each step does not clearly state a specific order in context. It may be carried out differently from the order specified above. That is, each step may be performed in the same order as specified, may be performed substantially simultaneously, or may be performed in the opposite order.

FIG. 1 is a diagram schematically showing a smart desk management system 1000 according to an embodiment of the present invention, FIG. 2 is an example of the first smart desk 10_1 of FIG. 1, and FIG. 3 shows each embedded terminal 20_1. This is an example of a service screen provided through ~20_N).

Referring to FIGS. 1 to 3 , the smart desk management system 1000 may include an input unit 110, a creation unit 120, a seat management unit 130, and an integrated service unit 140.

First, the input unit 110 can receive login information for each user through each embedded terminal (20_1 to 20_N) embedded in each smart desk (10_1 to 10_N).

Here, the login information may include a pre-registered user ID, biometric information such as fingerprint or iris, and password, as shown in FIG. 3A.

At this time, each embedded terminal (20_1 to 20_N) may be a tablet or smartphone capable of exchanging data with the smart desk management system 1000 through a network.

For example, the first smart desk (eg, 10_1) may be formed so that the corresponding embedded terminal (eg, 20_1) is embedded, as shown in FIG. 2.

A first interlocking device 30_1 linked to an embedded terminal (eg 20_1) may be disposed on this first smart desk (eg, 10_1). Here, the first companion device 30_1 may include at least one of a PC device, a camera, and a plurality of sensors.

Next, the generating unit 120 may classify the login information input through the input unit 110 using the unique identification number of each embedding terminal (20_1 to 20_N) to generate autonomous placement information.

Here, the autonomous arrangement information may be a list of login information by seat identification number in which login information is listed according to the unique identification number of each smart desk (10_1 to 10_N).

Next, the seat management unit 130 can draw an autonomous seat layout that enables attendance management using the autonomous layout information and the preset desk layout.

Here, the autonomous seat layout may refer to a graphic in which login information is layered on a preset desk layout, as shown in FIG. 3.

Next, the integrated service unit 140 provides an autonomous seat arrangement map through each embedded terminal (20_1 to 20_N), and conducts a remote conference for each embedded terminal (20_1 to 20_N) based on the seat confirmation signal fed back from the user. You can activate services and cloud access services.

For example, as shown in Figure 3, the remote meeting service is a program that provides services such as video conferences, online meetings, phone calls, memos, chatting, and mobile collaboration, and the cloud access service is provided on a cloud server (not shown). This may mean allowing access to the MAC address of the embedded terminal to make business data for each managed user available.

According to one embodiment, the integrated service unit 140 is based on the alternative access signal relayed from each interlocking device (30_1 to 30_N) provided in each smart desk (10_1 to 10_N) through each embedded terminal (20_1 to 20_N). Thus, the cloud access rights granted to each embedded terminal (20_1 to 20_N) can be selectively blocked.

For example, when an alternative access signal is relayed from a PC device among the first interlocking devices 30_1 through the first embedded terminal 20_1, the integrated service unit 140 provides cloud access to the first embedded terminal 20_1. Permissions can be blocked. In addition, when an alternative access signal is relayed from a PC device among the second interlocking devices (30_2) through the second embedded terminal (20_2), the integrated service unit 140 grants cloud access rights to the second embedded terminal (20_2). It can be blocked.

According to another embodiment, the integrated service unit 140 provides the average arrangement time for each seat based on the login time information for each seat confirmed from the autonomous seat arrangement history stored in the storage DB 200, thereby enabling preoccupation of a specific seat. We can provide guidance on commuting times.

Hereinafter, the configuration of the present invention and its effects will be described in more detail through specific examples and comparative examples. However, these examples are for illustrating the present invention in more detail, and the scope of the present invention is not limited to these examples.

Figure 4 is a block diagram showing an embodiment of the integrated service unit 140 of Figure 1.

1 to 4, the integrated service unit 140 includes an interlocking management unit 141, an object analysis unit 142, a counting unit 143, a level evaluation unit 144, and a seat recommendation unit 145. may include.

First, the interlocking management unit 141 takes pictures at regular intervals through the camera (e.g., 32_1) of the interlocking device (e.g., 30_1) linked to any one of the smart desks (e.g., 10_1) among the smart desks (10_1 to 10_N). User images can be transmitted through the first embedded terminal (eg, 20_1).

For example, each of the linking devices 30_1 to 30_N includes a PC device (e.g., 31_1), a camera (e.g., 32_1), and a plurality of sensors (e.g., 33_1 to 33_N), and each smart desk (10_1 to 33_N) 10_N) may be arranged to be provided in some of them. At this time, the plurality of sensors 33_1 to 33_N may include a radar sensor, an ultrasonic sensor, an environment detection sensor, and an eye tracker.

Each of these interlocking devices (30_1 to 30_N) can be automatically switched on remotely by the smart desk management system (1000) through each embedded terminal (20_1 to 20_N).

Depending on the embodiment, the interlocking management unit 141 may use a power supply device (not shown) to individually supply power to each interlocking device (30_1 to 30_N) linked to each buried terminal (20_1 to 20_N) based on the autonomous seat layout. ) can be controlled.

Next, the object analysis unit 142 can detect a face object recognized from user images transmitted through the linkage management unit 141.

Next, the counting unit 143 can count the number of times the gaze is diverged based on whether the face object is looking in a specific direction. Here, the specific direction may mean the user's frontal direction.

Next, the level evaluation unit 144 may evaluate the level of work concentration based on the number of gaze distractions counted through the counting unit 143.

For example, if the number of gaze divergence exceeds a certain number of times, the level evaluation unit 144 evaluates the work concentration level as low, and if the number of gaze divergence is less than a certain number of times, the level evaluation unit 144 evaluates the work concentration level as high. It can be evaluated as:

Next, the seat recommendation unit 145 selects the seat location discovered from the preset desk layout through a preset seating arrangement method according to the level of work concentration, embedded in one smart desk (e.g., 10_1), as customized seat information. It can be recommended through a terminal (e.g., 20_1).

Here, the preset seating arrangement method may include the facing arrangement method, the back arrangement method, and the cross arrangement method, which are preset when the work concentration level is low, and the facing arrangement method and the open arrangement method, which are preset when the work concentration level is high.

According to one embodiment, the seat recommendation unit 145 recommends team project seat information searched through a back-side arrangement method among preset seat arrangement methods, based on the number of team members requested through one of the landfill terminals 20_1. You may.

According to another embodiment, the seat recommendation unit 145 responds to breathing and heart rate signals confirmed through a radar sensor (not shown) of a corresponding interlocking device (e.g., 30_1) linked to one of the embedded terminals (e.g., 20_1). Based on this, it can be displayed on the autonomous seat arrangement map to recommend neighboring seat information according to the personality test results for each user.

Specifically, when the breathing and heart rate signals are estimated to be psychologically unstable, the seat recommendation unit 145 provides neighboring seat information according to the personality test results for each user confirmed through the MBTI personality test program from each embedded terminal (20_1 to 20_N). Can be displayed on the autonomous seat arrangement map to recommend.

According to another embodiment, the seat recommendation unit 145 responds to a seat departure signal detected through an ultrasonic sensor (not shown) of a corresponding interlocking device (e.g., 30_1) linked to one of the embedded terminals (e.g., 20_1). Based on this, the screen lock of a PC device (eg, 31_1) of one embedded terminal (eg, 20_1) and the corresponding interlocking device (eg, 30_1) can be performed remotely.

Figure 5 is a block diagram showing an embodiment of the seat management unit 130 of Figure 1.

1 to 5 , the seat management unit 130 may include an exchange proposal unit 131 and a monitoring unit 132.

First, the exchange proposal unit 131 may propose exchange target seat information to both sides through a pair of embedded terminals (eg, 20_1, 20_2) selected to exchange seats between users based on customized seat information.

Next, the monitoring unit 132 sends an approval signal for exchange target seat information based on the power-off state of a pair of interlocking devices (e.g., 30_1, 30_2) linked to a pair of embedded terminals (e.g., 20_1, 20_2). can be automatically transmitted to a pair of embedded terminals (eg, 20_1, 20_2).

According to one embodiment, the monitoring unit 132 monitors the PC device (e.g., 31_1) of the corresponding interlocking device (e.g., 30_1) based on the font size information output through one embedded terminal (e.g., 20_1). Display magnification information can be automatically adjusted remotely.

According to another embodiment, the monitoring unit 132 is based on a change in eye movement speed detected through an eye tracker (not shown) of a linkage device (e.g., 30_1) linked to one embedded terminal (e.g., 20_1). , responsive content can be selectively provided through the corresponding embedded terminal (20_1).

Here, the responsive content may be question-and-answer content to wake the user from drowsiness.

FIG. 6 is a block diagram showing an embodiment of the object analysis unit 142 of FIG. 4.

When described with reference to FIGS. 4 and 6 , the object analysis unit 142 may include a collection unit 142_1, a learning unit 142_2, a classification unit 142_3, and an automatic reception unit 142_4.

First, the collection unit 142_1 may collect in advance patient face images for each type of occupational disease.

Next, the learning unit 142_2 can learn patient face images for each type of occupational disease through machine learning to create an artificial intelligence-based classification model for each type of occupational disease.

Here, the artificial intelligence-based classification model for each type of occupational disease is an algorithm that receives face objects as input and outputs corresponding output values for each type of occupational disease, including artificial neural network, SVM (Support Vector Machine), and decision tree. ) and Random Forest.

For example, artificial neural networks are mainly used in deep learning, are statistical learning algorithms inspired by machine learning and neural networks in biology, and can be convolutional neural networks that include feature extraction neural networks and classification neural networks. At this time, the convolutional neural network is a type of deep, feed-forward artificial neural network used to analyze visual images. It can be divided into the process of extracting image features and classifying classes, extracting and extracting features of a specific image, and Images can be recognized based on the features provided.

Next, the classification unit 142_3 can classify the face object recognized from the plurality of user images as a person suspected of having an occupational disease based on each output value derived by applying the classification model for each type of occupational disease.

Next, when the face object is classified as a person suspected of having an occupational disease, the automatic reception unit 142_4 automatically receives outpatient treatment on a hospital server (not shown) preset according to the person suspected of having an occupational disease and sends it to the corresponding embedding terminal (e.g., 20_1). You can be notified through .

In this specification, only a few examples of various embodiments performed by the present inventors are described, but the technical idea of the present invention is not limited or limited thereto, and of course, it can be modified and implemented in various ways by those skilled in the art.

10_1~10_N: Multiple smart desks
20_1~20_N: Multiple landfill terminals
30_1~30_N: Multiple interlocking devices
110: input unit
120: Generation unit
130: Seat management department
140: Integrated Services Department
200: Save DB
1000: Smart desk management system

Claims (6)

An input unit that receives login information for each user through each embedded terminal embedded in each smart desk;
A generator that classifies the login information according to the unique identification number of each landfill terminal and generates autonomous placement information;
a seat management unit that draws an autonomous seat layout that enables attendance management using the autonomous layout information and a preset desk layout; and
An integrated service unit that activates a remote conference service and a cloud access service for each embedded terminal based on the seat confirmation signal fed back from the user as the autonomous seat layout is provided through each embedded terminal,
The integrated service unit includes a linkage management unit that receives user images taken at regular intervals through a camera provided in one of the smart desks;
an object analysis unit that detects face objects recognized from the user images;
a counting unit that counts the number of times gaze is diverged based on whether the face object is looking in a specific direction;
a level evaluation unit that evaluates the level of work concentration based on the number of times the gaze is diverged; and
It includes a seat recommendation unit that recommends the seat location selected through a preset seat arrangement method according to the work concentration level through a corresponding embedded terminal embedded in one of the smart desks with customized seat information,
The seat management unit includes a seat management unit that proposes exchange target seat information to both sides through a pair of embedded terminals selected to exchange seats between users, based on the customized seat information; and
A smart desk management system comprising a monitoring unit that automatically transmits an approval signal for the exchange target seat information to the pair of embedded terminals based on a power-off state of a pair of linking devices linked to the pair of embedded terminals. According to paragraph 1,
A smart desk management system in which the integrated service unit selectively blocks the cloud access rights granted to each embedded terminal based on an alternative access signal relayed through each embedded terminal from each interlocking device provided on each smart desk. delete delete According to paragraph 1,
The monitoring unit is a smart desk management system that automatically and remotely adjusts the display magnification information of the PC device of the corresponding linkage device that is linked to one of the embedded terminals, based on the font size information output through one of the embedded terminals. . According to paragraph 1,
The object analysis unit includes a collection unit that collects patient face images for each type of occupational disease;
A learning unit that learns the patient's face images for each type of occupational disease through machine learning to generate an artificial intelligence-based classification model for each type of occupational disease;
a classification unit that classifies the face object as a subject suspected of having an occupational disease based on each output value derived by applying the classification model for each type of occupational disease; and
A smart desk management system comprising an automatic reception unit that automatically receives outpatient treatment on a preset hospital server according to the suspected occupational disease during the health examination period when the facial object is classified as a suspected occupational disease subject.