KR101957582B1 - Internet of things automatic management system and method based on sensor data identification algorithm - Google Patents

Abstract

According to an embodiment of the present invention, a sensor data identification based IoT automatic management system includes: a data collection unit that receives a plurality of sensor data from a plurality of sensors installed in an indoor space; A data identification unit for identifying the sensor data as a real-time job or a non-real-time job; In the case of the sensor data identified as the real-time job, the corresponding sensor data is provided to the administrator terminal and loaded in the database. In case of the sensor data identified as the non-real-time job, the sensor data is loaded in the database And providing the data to the administrator terminal according to the request of the administrator terminal.

Description

TECHNICAL FIELD [0001] The present invention relates to an IoT automatic management system and method based on sensor data identification,

Embodiments of the present invention relate to IoT automatic management technology, and more particularly, to a system and method for automatic management of IoT based on sensor data identification.

Recently, as the Internet of Things (IoT) technology is developed, researches are being conducted to construct smart environments such as smart home, smart grid, and industrial IOT. Industrial IoT, one of the applications of IoT, establishes automation systems or provides remote control and monitoring services in places where continuous management is required.

Further, an environment suitable for the user is configured through inter-device communication. However, in order to provide such a customized service, the usage of the sensor is increasing, and as the usage of the sensor increases, technology for processing sensor data generated in real time becomes an essential element.

However, existing systems utilize the batch processing method that collectively processes the measured sensor data in the server, so that as the system size increases, it is difficult to provide the real-time data to the user. In addition, if an operation condition is satisfied in the case of an event for a task, an existing task may be simultaneously and cooperatively generated, resulting in an unnecessary task.

A related prior art is disclosed in Korean Patent Registration No. 10-1635200 (entitled Intelligent Smart Monitoring System for Home Using Internet of Things and Broadband Radar Sensing Technology, Registered Date: June 26, 2016).

In an embodiment of the present invention, sensor data measured through a sensor is identified as a real-time job or a non-real-time job, and if the job is a real-time job such as fire or intrusion, it is provided to a user, In case of a non-real-time job such as data management, it is possible to provide the monitoring result to the management place in real time even if the size of the system is increased, The present invention provides a system and method for automatically managing IoT based on sensor data identification.

One embodiment of the present invention can reduce the number of simultaneous tasks by setting priorities among tasks and stopping existing tasks when a high priority task occurs, thereby reducing unnecessary wasted power consumption, And provides an IoT automatic management system and method based on sensor data for enabling active services to be provided.

The problems to be solved by the present invention are not limited to the above-mentioned problem (s), and another problem (s) not mentioned can be clearly understood by those skilled in the art from the following description.

According to an embodiment of the present invention, a sensor data identification based IoT automatic management system includes: a data collection unit that receives a plurality of sensor data from a plurality of sensors installed in an indoor space; A data identification unit for identifying the sensor data as a real-time job or a non-real-time job; In the case of the sensor data identified as the real-time job, the corresponding sensor data is provided to the administrator terminal and loaded in the database. In case of the sensor data identified as the non-real-time job, the sensor data is loaded in the database And providing the data to the administrator terminal according to the request of the administrator terminal.

The data identification unit may identify the sensor data as the real-time job or the non-real-time job based on whether the sensor data is an event in a dangerous situation.

Wherein the data identification unit identifies the sensor data as the real-time operation in case of sensor data relating to an event of a dangerous situation including at least one of a fire and an intrusion, In the case of the sensor data relating to the event, the sensor data can be identified as the non-real-time work.

The sensor data identification based IoT automatic management system according to an embodiment of the present invention may further include a priority setting unit for setting a priority for each of the sensor data, , It is possible to give a relatively higher priority to the sensor data identified by the non-real-time job.

When a new event is generated according to the reception of the sensor data, the data management unit compares priorities between a new task related to the new event and a previous task currently being operated based on the priority set by the priority setting unit If the priority of the new job is higher than the priority of the previous job, stop the previous job and manage the new job to operate.

The IOT automatic management system based on the sensor data identification according to an embodiment of the present invention is characterized in that the IOT automatic management system based on the sensor data identifies the sensor data based on the fusion threshold value indicating a threshold value considering all of a plurality of predetermined sensor data among the sensor data identified by the real- And a risk situation notification unit for identifying a risk situation of the risk.

Wherein the risk status notification unit identifies that a dangerous situation has occurred in the indoor space when the predetermined sensor data exceeds the fusion threshold value and provides a notification message related to the occurrence of the dangerous situation to the administrator terminal .

Wherein the risk information notification unit identifies a risk situation based on the fusion threshold value based on the same sector when the indoor space is divided into a plurality of sectors, wherein the predetermined plurality of sensor data exceeds the fusion threshold value , It is possible to identify that a dangerous situation has occurred in a corresponding sector of the indoor space and provide a notification message related to the occurrence of the dangerous situation to the administrator terminal based on the unique identification information assigned for each sector of the indoor space .

The sensor data identification based IoT automatic management system according to an embodiment of the present invention monitors the environmental status of the indoor space to be managed based on the result of processing the real-time work or the non-real-time work through the fusion threshold value And transmitting the monitoring result to the administrator terminal and displaying the result of the monitoring on an application installed in the administrator terminal.

According to an embodiment of the present invention, there is provided a method of automatically managing IoT based on sensor data, comprising: receiving a plurality of sensor data from a plurality of sensors installed in an indoor space by a data collection unit of an IoT automatic management system; Wherein the data identification unit of the IoT automatic management system identifies the sensor data as a real-time job or a non-real-time job; In the case of the sensor data identified as the real-time job, the data management unit of the IoT automatic management system provides the corresponding sensor data to the administrator terminal, and then stores the sensor data in the database. And in the case of the sensor data identified as the non-real-time job, the data management unit loads the sensor data into the database and provides the sensor data to the administrator terminal according to the request of the administrator terminal.

The identifying step may include identifying the sensor data as the real-time or non-real-time work based on whether the sensor data is an event in a critical situation.

Wherein the identifying step comprises the steps of: identifying sensor data as the real-time action in case of sensor data relating to an event of a critical situation including at least one of fire and intrusion; And, in the case of sensor data relating to an event that is not a critical situation including at least one of ventilation and temperature regulation, identifying the sensor data as the non-real time operation.

The IoT automatic management method based on sensor data identification according to an embodiment of the present invention further includes setting a priority for each of the sensor data by the priority setting unit of the IoT automatic management system, In the case of the sensor data identified as the real-time task, the step may include giving a relatively higher priority to the sensor data identified as the non-real-time task.

The sensor data identification based IoT automatic management method according to an embodiment of the present invention is characterized in that when a new event is generated according to reception of the sensor data, Comparing a priority of a new task related to an event with a previous task currently being operated and stopping the previous task and managing the new task to operate when the priority of the new task is higher than the priority of the previous task .

The method for automatically managing IoT based on sensor data identification according to an embodiment of the present invention is characterized in that the risk status notification unit of the IoT automatic management system displays a threshold value considering all of a plurality of preset sensor data among the sensor data identified by the real- The method may further include identifying a risk situation of the indoor space based on the fusion threshold.

The details of other embodiments are included in the detailed description and the accompanying drawings.

According to one embodiment of the present invention, sensor data measured through a sensor is identified as a real-time or non-real-time work, and if the work is a real-time work such as a fire or an intrusion, it is provided to a user, In the case of non-real-time tasks such as temperature control, the data is managed in a manner that is provided when a request is made by an administrator after being loaded into a database. Thus, even when the size of the system is increased, can do.

According to an embodiment of the present invention, if a priority is set between jobs, if a high-priority job occurs, the existing jobs can be stopped to reduce simultaneous jobs, thereby reducing power consumption unnecessarily wasted The user can be provided with an active service.

Brief Description of the Drawings Fig. 1 is an overall configuration diagram showing an overall configuration of a sensor data identification based IoT automatic management system according to an embodiment of the present invention.
2 is a detailed configuration diagram showing a detailed configuration of the server of FIG.
3 is a flowchart illustrating a method of automatically managing IoT based on sensor data identification according to an embodiment of the present invention.
4 is a flowchart illustrating a process of identifying sensor data according to an embodiment of the present invention.
FIG. 5 is a flowchart illustrating a process for a case where a new event occurs, according to another embodiment of the present invention.
FIG. 6 is a diagram showing priorities for tasks. FIG.
7 is a flowchart showing a process of extracting XML data and loading it in a database.
8 to 13 are views illustrating an application implementation screen of an automatic IoT management system based on sensor data identification according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and / or features of the present invention, and how to accomplish them, will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but is capable of 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, 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.

It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. The configuration is omitted as much as possible, and a functional configuration that should be additionally provided for the present invention is mainly described. Those skilled in the art will readily understand the functions of components that have been used in the prior art among the functional configurations that are not shown in the following description, The relationship between the elements and the components added for the present invention will also be clearly understood.

In the following description, terms such as "transmission", "communication", "transmission", "reception", and the like of a signal or information means that a signal or information is directly transmitted from one component to another As well as being transmitted via other components. In particular, "transmitting" or "transmitting" a signal or information to an element is indicative of the final destination of the signal or information and not a direct destination. This is the same for "reception" of a signal or information.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Brief Description of the Drawings Fig. 1 is an overall configuration diagram showing an overall configuration of a sensor data identification based IoT automatic management system according to an embodiment of the present invention.

1, the sensor data identification based IoT automatic management system 100 according to an exemplary embodiment of the present invention includes a server 110, a database 115 interlocked with the server 110, A plurality of devices 130, an administrator terminal 140, and an application (APP) 145 interworking with the administrator terminal 140.

The server 110 is an apparatus for providing a sensor data identification based IoT automatic management service according to an embodiment of the present invention. The server 110 identifies sensor data to set a priority among jobs, The device 130 can be automatically operated according to the date and time.

Here, the device 130 may include all devices for environmental control including an air conditioner, a heater, a door, a window, and the like.

The server 110 receives the sensor data measured through the sensor 120, processes the event based on the threshold, and monitors the environmental condition of the indoor place (management place) of the management subject based on the processing result of the event can do. Here, the threshold value is a fusion threshold value, which will be described later in detail.

The server 110 may transmit the monitoring result to the administrator terminal 140 so that the administrator can monitor the status of the management place through the application 145. [

The server 110 receives the remote control signal from the administrator terminal 140 and transmits the remote control signal to the device 130 so that the administrator can request the manager 130 to access the device 130 through the application 145 installed in the administrator terminal 140. [ Can be controlled remotely. In addition, the server 110 may provide a notification message to the administrator terminal 140 in the event of a dangerous situation.

2 is a detailed configuration diagram showing a detailed configuration of the server 110 of FIG.

1 and 2, the server 110 includes a data collection unit 210, a data identification unit 220, a data management unit 230, a priority setting unit 240, a risk status notification unit 250, An environmental condition monitoring unit 260, and a control unit 270. [

The data collecting unit 210 may receive a plurality of sensor data from a plurality of sensors 120 installed in an indoor space (management space). The data collection unit 210 may collect the received sensor data in association with the database 115.

Here, the sensor 120 is installed in the indoor space to monitor environmental conditions, and may include various sensors such as a temperature sensor, a humidity sensor, a gas sensor, a vibration sensor, and a human body sensor. In particular, the vibration sensor may be installed in a window, and the human body sensor may be installed in a door.

The data identification unit 220 may identify the sensor data as a real-time job or a non-real-time job. That is, the data identification unit 220 may identify the sensor data as the real-time job or the non-real-time job based on whether the sensor data is an event in a dangerous situation.

For example, in the case of sensor data relating to a dangerous event including at least one of fire and intrusion, the data identification unit 220 can identify the corresponding sensor data as a real-time work. In addition, the data identification unit 220 may identify the sensor data as a non-real-time operation in case of sensor data related to an event other than a dangerous situation including at least one of ventilation and temperature control.

In the case of the sensor data identified as the real-time job, the data management unit 230 may provide the sensor data to the administrator terminal 140 and load the sensor data in the database 115. In other words, in case of sensor data related to an event of a dangerous situation such as a fire or an intrusion, the data management unit 230 determines that the sensor data is in an emergency, and first provides the sensor data to the administrator terminal 140, 115).

Alternatively, in the case of the sensor data identified by the non-real-time job, the data management unit 230 may load the corresponding sensor data in the database 115, (140). In other words, in the case of sensor data related to an event other than a dangerous situation such as ventilation, temperature control, etc., the data management unit 230 may determine that the sensor data is not an emergency situation and load the sensor data in the database 115 . Here, providing the sensor data to the administrator terminal 140 can be processed as an option according to the request of the administrator terminal 140.

When a new event is generated according to the reception of the sensor data, the data management unit 230 may compare a priority between a new task related to the new event and a previous task currently being performed based on a preset priority.

If the priority of the new job is higher than the priority of the previous job as a result of the comparison, the data management unit 230 may stop the previous job and manage the new job to operate. On the other hand, if the priority of the new job is lower than the priority of the previous job as a result of the comparison, the data management unit 230 manages the new job after waiting until the operation of the previous job is completed can do.

The priority setting unit 240 may set a priority for each of the sensor data. In other words, the priority setting unit 240 may set a priority order among the tasks related to the event based on the sensor data before receiving the sensor data.

In this case, the priority setting unit 240 may assign a relatively higher priority to the sensor data identified as the non-real-time job than the sensor data identified as the non-real-time job. That is, the priority setting unit 240 sets the priority of a task related to an event such as a fire or an intrusion by the sensor data to be higher than a priority of a task related to an event such as ventilation or temperature control by the sensor data Can be set.

This is a non-real-time operation in which a work related to an event such as a fire or an intrusion is identified as a dangerous situation and a work related to the event such as the ventilation or temperature control is identified as a non-dangerous situation. Because the risk situation takes precedence over the non-risk situation.

The danger notification unit 250 may identify the dangerous situation of the indoor space based on the fusion threshold value. Herein, the fusion threshold value may represent a threshold value considering all of a plurality of preset sensor data among the sensor data identified as the real-time task.

For example, in one embodiment of the present invention, a threshold value considering both temperature data and gas data may be defined as the fusion threshold value. Also, in one embodiment of the present invention, a threshold value considering both the vibration data and the human body detection data may be defined as the fusion threshold value.

If the sensor data received by the data collecting unit 210 is a plurality of sensor data that are preset in the sensor data identified as the real-time job, If the threshold value is exceeded, it is possible to identify that a dangerous situation has occurred in the indoor space, and provide a notification message to the administrator terminal 140 about the occurrence of the dangerous situation.

For example, when the temperature data and the gas data exceed the preset threshold value, the danger notification unit 250 identifies that the dangerous situation has occurred in the indoor space, and notifies the occurrence of the dangerous situation Message to the administrator terminal 140. Accordingly, the administrator can monitor the dangerous situation of the indoor space through the application 145 installed in the administrator terminal 140. [

Meanwhile, the indoor space may be divided into a plurality of sectors. For example, this may be the case where there are several laboratories in the building (laboratory # 1, laboratory # 2, laboratory # 3, etc.). In this case, the risk notification unit 250 can identify a dangerous situation based on the fusion threshold value based on the same sector. That is, when the value of a plurality of sensor data preset in the same sector exceeds the fusion threshold value, the danger notification unit 250 can identify that a dangerous situation has occurred in the corresponding sector of the indoor space.

For example, if the temperature data measured in the laboratory # 1 and the value of the gas data exceed the fusion threshold value, the danger notification unit 250 notifies the laboratory # 1 of a dangerous situation (fire) Can be identified as occurring. If the value of the vibration data measured in the laboratory # 2 and the value of the human body detection data exceed the fusion threshold, the danger notification unit 250 notifies the laboratory # 2 of a dangerous situation (intrusion) .

Herein, unique identification information may be given in advance for each center of the indoor space. For example, unique identification information such as '001' in the laboratory # 1, '002' in the laboratory # 2, '003' in the laboratory # 3,

The risk notification unit 250 may provide a notification message to the administrator terminal 140 regarding the occurrence of the dangerous situation based on the unique identification information assigned to each sector of the indoor space. In the above example, when a dangerous situation such as a fire or an intrusion occurs in the laboratory # 1, the danger notification unit 250 notifies '001' assigned to the laboratory # 1 and a notification message about the occurrence of the dangerous situation To the administrator terminal (140).

The environmental condition monitoring unit 260 may monitor the environmental condition of the indoor space to be managed based on the result of processing the real-time work or the non-real-time work through the fusion threshold value. The environmental condition monitoring unit 260 may transmit the monitoring result to the administrator terminal 140 and display the result of the monitoring on the application 145 installed in the administrator terminal 140.

The control unit 270 controls the operation of the server 110, that is, the data collecting unit 210, the data identifying unit 220, the data managing unit 230, the priority setting unit 240, (250), the environmental condition monitoring unit (260), and the like.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, controller, arithmetic logic unit (ALU), digital signal processor, microcomputer, field programmable array (FPA) A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing apparatus may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

FIG. 3 is a flowchart illustrating a method of automatically managing IoT based on sensor data identification according to an embodiment of the present invention, and FIG. 4 is a flowchart illustrating a process of identifying sensor data according to an embodiment of the present invention .

The IoT automatic management method based on the sensor data identification described herein is only one embodiment of the present invention. In addition, various steps may be added according to need, and the following steps may be performed by changing the order, The present invention is not limited to the respective steps and the order described below.

1 to 3, in operation 310, the data collecting unit 210 may receive a plurality of sensor data from a plurality of sensors 120 installed in an indoor space.

Next, in step 320, the data identification unit 220 may identify the sensor data as a real-time job or a non-real-time job. This will be described in detail with reference to FIG.

As shown in FIG. 4, in step 410, the data identification unit 220 identifies sensor data as a real-time job in the case of sensor data related to a dangerous event including at least one of fire and intrusion can do.

Then, in step 420, the data identification unit 220 may identify the sensor data as a non-real-time job in the case of sensor data related to an event other than a dangerous situation including at least one of ventilation and temperature control .

Referring again to Figures 1-3, in the case of sensor data identified as the real-time job in step 330 (direction of "yes" 330), in step 340, the sensor data exceeds the fusion threshold Can be determined.

The data management unit 230 may provide the corresponding sensor data to the administrator terminal 140 (350) and load the sensor data in the database 115 (step 340) 360). On the other hand, if the fusion threshold is not exceeded (the "no" direction of 340), the present embodiment may be terminated.

Here, the data management unit 230 may provide a notification message to the administrator terminal 140 about the occurrence of a dangerous situation in the process of providing the sensor data to the administrator terminal 140.

Meanwhile, in the case of the sensor data identified as the non-real-time job ("No" direction of 330), the data management unit 230 loads the corresponding sensor data into the database 115 (370) (380 "YES" direction) to the administrator terminal 140 (390). At this time, if there is no request from the administrator terminal 140 ("No" in 380), the present embodiment can be terminated.

FIG. 5 is a flowchart illustrating a process for a case where a new event occurs, according to another embodiment of the present invention. The above process may be performed between steps 310 and 320 of FIG.

2 and 5, when a new event is generated according to the reception of the sensor data (YES in step 510), in step 520, the data management unit 230 checks whether a previous job is being executed can do.

If it is determined in step 520 that the previous job is in operation (YES in step 520), the data management unit 230 determines in step 530 whether the new event You can compare the priority between the new task and the previous task that is currently running.

If the priority of the new job is higher than the priority of the previous job ("YES" in 540), the data management unit 230 interrupts the previous job (550) (560). On the other hand, if the priority of the new job is not higher than the priority of the previous job (No in 540), the present embodiment may be terminated and the process may be skipped to the step 320 of FIG. 3 .

On the other hand, if no new event has occurred (510 in the "NO" direction), the process returns to step 310 in FIG. 3, and if the previous job is not in operation (Step 560).

Hereinafter, operations prioritization, web data extraction, and database design process will be described in detail with reference to FIG. 6, FIG. 7, and Tables 1 to 7.

1. Setting work priority

In this system, five kinds of sensors are utilized to provide a pleasant environment by automatically controlling the ventilation work, temperature control work, fire and intrusion occurrence work. In addition, the administrator can remotely control the device to configure the desired environment.

FIG. 6 is a diagram showing priorities for tasks. FIG.

Referring to FIG. 6, operation # 1 of the task priority is fire generation by temperature and gas sensor. If the temperature does not exceed the threshold and only gas is generated, open the window to activate the ventilation operation. If the threshold value of the gas is exceeded and exceeds the threshold value of the temperature, it is identified as a fire, and a notification message is sent to the manager, and at the same time, all devices in operation are stopped.

Task No. 2 of the task priority is the occurrence of an intrusion through the vibration and human body detection sensor. Vibration caused by the act of forcibly opening the door at the time when the management place is not used, invasion through the window, and human body detection exceeding the threshold value In case, it identifies as an intrusion and sends a notification message to the administrator.

Task 3 of the task priority is remote control in the application. When a remote signal is generated by the administrator, the corresponding device is operated. Otherwise, the device operates by automatic control.

Job # 4 of the job priority is the use of the management place through the web data, and the unused operation. The date and time stored in the database are compared with the current date and time to identify whether or not the management site is used. When the environment control operation is not used, the security control operation is operated.

Task priority 5 is automatic control using temperature, humidity, and gas sensors. The sensor data measured in real time compares with the threshold value of each sensor, and the operation corresponding to the temperature control and the ventilation occurs when exceeding. If the threshold value is not exceeded, the management place is pleasant.

2. Web data extraction

In this system, web data is extracted and operated according to date and time in order to prevent unnecessary work by distinguishing use time and unused time in management place.

7 is a flowchart showing a process of extracting XML data and loading it in a database.

Referring to FIG. 7, Timetable and Calendar XML files are extracted through an XML DOM parser used in Java, and classified into each element. Classified data is loaded into each database table using the JDBC API, which provides access to the database. These data are processed in the server by querying the current date and time against the automatic control environment.

3. Database Design

In this system, as one embodiment, the environment can be configured by utilizing five types of Arduino, WiFi Shield, and sensors. Data generated by each sensor is measured by Arduino, transmitted via GET to the server via WiFi Shield, and the server loads the received sensor data into the database. Web data for distinguishing by work and date and time generated in the server, remote control data of the manager application, and member information for identifying the manager are loaded in the database. Table 1 shows the structure of the database.

[Table 1]

The database structure of this system can be composed of six structures. Specifically, the database structure includes an event table for storing data generated by each sensor, a state table for monitoring the environment information of the management site and the status of the device, a Manager table A User table to receive notification messages in case of a dangerous situation, and a Timetable and a Calendar table to distinguish between the use time and the date.

3.1 Defining Structure of Event Table

Table 2 shows the table structure of the database that stores the events generated by the sensor.

[Table 2]

The structure of the Event table is as shown in Table 2, and the data for the event is loaded. Temperature, Humidity, and Gas are responsible for events that occur in the environment control, and they load event data generated by fire, temperature control, and ventilation. Detection and Vibration are responsible for the events that occurred in the security control and load the event data for the intrusion.

3.2 Structure Definition of State Table

Table 3 shows the table structure of the database for monitoring and controlling environment information and device status by the administrator.

[Table 3]

The State table shows the real-time temperature and humidity for monitoring the state of the device and the administrator through automatic control and remote control. The Doorlock, Window, Aircon, and Heater determine whether or not each device is running. When the device is in operation, it indicates 1;

Real_Temp and Real_Humi represent temperature and humidity data measured in real time when environment control is in operation. Con represents a count designated to distinguish between remote control and automatic control. And 1 when it is operating under automatic control.

3.3 Defining the Structure of the Manager Table

Table 4 shows the table structure of the database that stores the member information for identifying the manager.

[Table 4]

The ID and Password are the login data for the application, HP is the manager's phone number, and Number is the number of the laboratory currently managed by the administrator.

3.4 Defining User Table Structure

Table 5 shows the table structure of the database for providing FCM messages in the event of a risk.

[Table 5]

The ID is the data that is loaded to distinguish what kind of risk a fire or an intrusion occurred. The token is loaded as an administrator's smart device unique value to send a notification message to the corresponding administrator.

3.5 Defining Timetable Table Structure

Table 6 shows the table structure of the database to distinguish the use time of the management place.

[Table 6]

The Timetable table represents the timetable information, and can be composed of Dayweek to identify the day of the week, Period to indicate the teaching, StartTime and EndTime to indicate the start time and end time.

3.6 Defining the Structure of Calendar Table

Table 7 shows the table structure of the database to distinguish the use date of the management place.

[Table 7]

The calendar table indicates the year, month, day, and holiday of the management place. It operates in accordance with the use date and time through queries in the server in connection with Timetable.

8 to 13 are views illustrating an application implementation screen of an automatic IoT management system based on sensor data identification according to an embodiment of the present invention.

The application of this system is an important module for the administrator to monitor and remotely control the sensor data and the status of the device measured in Arduino. Control is also possible in lower versions of Android. The application can be configured to distinguish the data that the administrator should provide at least from the management place and can be easily used by the user.

FIG. 8 is a view showing an application main screen, and FIG. 9 is a view showing a membership joining screen.

Referring to FIGS. 8 and 9, when the JOIN button is clicked on the main page, the page can be moved to the member registration page. When the ID, PW, and telephone number of the administrator are inputted from the member registration page and the JOIN button is clicked, Can be loaded. If the login button is clicked on the member registration page, the login information can be compared with the information of the administrator stored in the database.

10 is a diagram showing a laboratory selection page which is an indoor space to be managed.

As shown in FIG. 10, when the administrator logs in, the laboratory to be managed is selected and the selected laboratory number can be loaded into the database. The reasons for loading into the database are to divide the management place for each manager and to send a notification message to the corresponding manager in case of a dangerous situation.

11 is a diagram showing an implementation screen for monitoring and remotely controlling the state of a laboratory.

Referring to FIG. 11, an administrator can monitor the number of laboratories that need to be managed, whether or not they are in use, and can check temperature and humidity measured in real time. You can also remotely control commands for air conditioners, heaters, door locks, and window devices. The Select Lab button allows administrators to select and monitor and control other labs.

FIG. 12 is a diagram showing a notification message when a time when a management place is not used as an application screen of an administrator, that is, when an intrusion occurs during operation of a security control operation.

As shown in FIG. 12, the notification message provides a push-pop message through the FCM server when a dangerous situation occurs.

13 is a diagram illustrating a notification message when a fire occurs in an application screen of a manager.

As shown in Fig. 13, in the case of fire, it is possible to identify the time of using the management place and the time of not using it for 24 hours. You can also stop working on all devices.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical media such as CDROMs, DVDs, magneto-optical media such as floptical disks, Magneto-optical media, and hardware devices specifically configured to store and perform program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

110: Server
115: DB
120: sensor
130: Device
140:
145: APP
210:
220: Data identification unit
230:
240: Priority setting section
250: Risk alert
260: Environmental condition monitoring unit
270:

Claims (15)

A data collecting unit for receiving a plurality of sensor data from a plurality of sensors installed in an indoor space;
A data identification unit for identifying the sensor data as a real-time job or a non-real-time job;
Wherein the sensor data is stored in a database after providing the sensor data to the administrator terminal in the case of the sensor data identified as the real-time job, and in the case of the sensor data identified as the non-real-time job, A data manager for providing the manager terminal with the manager terminal in response to a request from the manager terminal; And
A danger state notification unit for identifying a dangerous situation in the indoor space based on a fusion threshold value indicating a threshold value considering all of a plurality of sensor data set in advance among the sensor data identified by the real-
Wherein the IoT automatic management system is based on sensor data.
The method according to claim 1,
The data identification unit
Wherein the sensor data is identified as the real-time job or the non-real-time job based on whether the sensor data is an event of a dangerous situation.
The method according to claim 1,
The data identification unit
In case of sensor data relating to an event of a dangerous situation including at least one of a fire and an intrusion, the sensor data is identified as the real-
Wherein the sensor data is identified as the non-real-time work in the case of sensor data relating to an event other than a dangerous situation including at least one of ventilation and temperature control.
The method according to claim 1,
A priority setting unit for setting a priority for each of the sensor data,
Further comprising:
The priority setting unit
Wherein the sensor data identified by the real-time task is given a relatively higher priority than the sensor data identified by the non-real-time task.
5. The method of claim 4,
The data management unit
Comparing a priority between a new task related to the new event and a previous task currently being executed based on the priority set by the priority setting unit when a new event is generated according to the reception of the sensor data, If the priority of the previous task is higher than the priority of the previous task, stop the previous task and manage the new task to operate.
delete The method according to claim 1,
The danger notification unit
And identifies that a dangerous situation has occurred in the indoor space when the predetermined plurality of sensor data exceeds the fusion threshold value and provides a notification message about occurrence of the dangerous situation to the administrator terminal Data identification based IoT automatic management system.
The method according to claim 1,
The danger notification unit
If the indoor space is divided into a plurality of sectors, identifies a dangerous situation based on the fusion threshold value based on the same sector, and if the predetermined sensor data exceeds the fusion threshold value, And provides the manager terminal with a notification message related to the occurrence of the dangerous situation based on the unique identification information assigned to each sector of the indoor space. Based IoT automatic management system.
The method according to claim 1,
Monitoring the environmental condition of the indoor space to be managed based on the result of processing the real-time job or the non-real-time job through the fusion threshold, transmitting the monitoring result to the administrator terminal, An environmental condition monitoring unit
Further comprising a sensor data identification based IoT automatic management system.
The method comprising: receiving a plurality of sensor data from a plurality of sensors installed in an indoor space;
Wherein the data identification unit of the IoT automatic management system identifies the sensor data as a real-time job or a non-real-time job;
In the case of the sensor data identified as the real-time job, the data management unit of the IoT automatic management system provides the corresponding sensor data to the administrator terminal, and then stores the sensor data in the database.
In the case of the sensor data identified by the non-real-time job, the data management unit loads the sensor data into the database and provides the sensor data to the administrator terminal according to the request of the administrator terminal; And
Identifying a risk situation of the indoor space based on a fusion threshold value indicating a threshold value considering all of a plurality of sensor data set in advance among the sensor data identified as the real-time work, in the IoT automatic management system
Wherein the sensor data identification based IoT automatic management method comprises:
11. The method of claim 10,
The step of identifying
Identifying the sensor data as the real-time activity or the non-real-time activity, based on whether the sensor data is an event in a critical situation
Wherein the sensor data identification based IoT automatic management method comprises:
11. The method of claim 10,
The step of identifying
Identifying sensor data as the real-time action in case of sensor data relating to an event of a dangerous situation including at least one of fire and intrusion; And
Identifying the sensor data as the non-real-time job in case of sensor data relating to an event that is not a critical situation including at least one of ventilation and temperature control
Wherein the sensor data identification based IoT automatic management method comprises:
11. The method of claim 10,
The priority setting unit of the IOT automatic management system sets a priority for each of the sensor data
Further comprising:
The step of setting the priority
In the case of the sensor data identified as the real-time task, giving a relatively higher priority to the sensor data identified as the non-real-time task
Wherein the sensor data identification based IoT automatic management method comprises:
14. The method of claim 13,
When a new event occurs according to the reception of the sensor data,
Wherein the data management unit compares priorities between a new job related to the new event and a previous job currently being operated based on the priority set by the priority setting unit, Stopping the previous job and managing the new job to operate
Wherein the sensor data identification is based on the IoT data.
delete

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