KR102339131B1 - Cloud server system for managing and analyzing sensing data for each user, and control method - Google Patents

Abstract

Disclosed is a control method of a cloud server system for communicating with a user device. The control method includes the steps of: generating at least one server matched to user information, when the user information is input through the user device; identifying at least one sensor device matched to sensor information, when the sensor information is input through the user device; setting up a monitoring process for the server based on user input received through the user device; monitoring, by the server, sensing data received from the identified sensor device according to a set monitoring process; and transmitting the monitoring information obtained according to the monitoring of the server to the user device. Accordingly, a user, who operates another specific system, can operate the system without having hardware constituting the entire system.

Description

CLOUD SERVER SYSTEM FOR MANAGING AND ANALYZING SENSING DATA FOR EACH USER, AND CONTROL METHOD }

The present disclosure relates to a cloud server system, and more particularly, to a cloud server system that creates/allocates a server for each user in order to manage sensing data of one or more sensors registered for each user.

The need for a system that provides services by collecting information through various sensors is increasing. As a specific example, various systems that provide new information or control specific equipment have been developed based on the results of analyzing information collected from surrounding environments/devices, such as smart farm systems, smart factory systems, and weather prediction systems.

In the individual implementation of such a system, it is important to build sensors that collect various information related to the surrounding environment or process, and a main computer or server interworking with the sensors.

However, in building each system, a main computer capable of processing big data collected in real time from numerous sensors is required.

In particular, in the initial stage of system construction, it is difficult for a system operator to secure initial development costs because a large cost is required to establish a communication network between the main server and each sensor and to secure the performance of the main server.

In addition, even after system construction, if the system is expanded due to the addition of sensors or control equipment, additional facility investment to re-establish a smooth collection environment for sensing data, re-establish a communication network, and additionally secure main computer hardware is inevitable

Registered Patent Publication No. 10-1727059 (Cloud console providing system and method that selectively uses a plurality of servers)

In order to solve the above problems, the present disclosure provides a control method of a cloud server system that generates a server for an individual system operator and performs customized monitoring or analysis of sensing data in the system.

Objects of the present disclosure are not limited to the above-mentioned purposes, and other objects and advantages of the present disclosure that are not mentioned may be understood by the following description, and will be more clearly understood by the embodiments of the present disclosure. Moreover, it will be readily apparent that the objects and advantages of the present disclosure may be realized by the means and combinations thereof indicated in the claims.

According to an embodiment of the present disclosure, there is provided a control method of a cloud server system communicating with at least one user device, generating at least one server matching the user information when user information is input through the user device Step, when sensor information is input through the user device, identifying at least one sensor device matching the sensor information, based on the user input received through the user device, setting a monitoring process of the server Step, the server monitoring the sensed data received from the identified sensor device according to the set monitoring process, comprising the step of transmitting the monitoring information obtained according to the monitoring of the server to the user device.

The control method of the cloud server system may further include, when additional sensor information is input through the user device, identifying another sensor device matching the additional sensor information. In this case, the monitoring may include monitoring, through the server, sensing data received from each of the identified sensor device and the other identified sensor device according to the set monitoring process.

In addition, the control method of the cloud server system, when control information is input through the user device, identifying at least one control device matching the control information, the received sensing data matching the control information The method may further include, by the server, generating a command for the control device based on the control information when a preset condition is satisfied, and transmitting the generated command to the control device.

In addition, the control method of the cloud server system may include, based on a user input received through the user device, setting a training process for at least one artificial intelligence model, the server receiving the reception according to the set training process Training the artificial intelligence model by applying the sensed data may further include, by the server, obtaining analysis information on the received sensing data using the artificial intelligence model.

In addition, the control method of the cloud server system includes generating billing information for a user of the user device based on a billing policy according to at least one of the amount of computation of the server, the data usage of the server, and the data communication amount of the server. It may include further steps.

In this case, the control method of the cloud server system includes, by the server, analyzing the sensed data received from the sensor device to diagnose an operation of the sensor device and a communication state between the sensor device and the server, the sensor The method may further include transmitting information notifying the occurrence of the defect to the user device when a defect occurs in the operation or the communication state of the device. In addition, the acquiring of the charging information includes generating charging information based on a first charging policy for a time period in which a defect does not occur in the operation of the sensor device and the communication state, and the operation of the sensor device and For a time period in which a defect occurs in at least one of the communication states, charging information may be generated based on a second charging policy different from the first charging policy.

Meanwhile, the control method of the cloud server system may further include the step of additionally generating at least one server matching the user information when a load greater than or equal to a threshold is generated on the server.

On the other hand, the at least one server, a collection server for collecting sensed data, a monitoring server for monitoring the sensed data, a training server for training an artificial intelligence model based on the sensed data, and an analysis server for analyzing the sensed data. can

The cloud server system according to the present disclosure provides a solution that allows a user who operates another specific system to operate the system without having hardware constituting the entire system, or a solution that can be flexibly applied to system expansion. .

The cloud server system according to the present disclosure can solve the difficulty that a user who wants to operate a specific other system must design and develop a server device directly to centrally collect and manage the measured sensing data, and in particular, for testing, etc. It can solve the technical difficulties that may arise when transitioning from a small-scale system to a large-scale system.

1 is a block diagram schematically illustrating an example in which a cloud server system according to the present disclosure builds a separate system together with at least one sensor device/control device based on communication with a user device;
2 is a flowchart illustrating a control method of a cloud server system according to an embodiment of the present disclosure;
3 is a block diagram illustrating a functional configuration of a cloud server system according to an embodiment of the present disclosure; and
4 is a block diagram illustrating an operation of individually contributing to various monitoring systems by a cloud server system according to an embodiment of the present disclosure.

Prior to describing the present disclosure in detail, a description will be given of the description of the present specification and drawings.

First, terms used in the present specification and claims have been selected in consideration of functions in various embodiments of the present disclosure. However, these terms may vary depending on the intention or legal or technical interpretation of a person skilled in the art, and the emergence of new technology. Also, some terms are arbitrarily selected by the applicant. These terms may be interpreted in the meanings defined herein, and in the absence of specific definitions, they may be interpreted based on the general content of the present specification and common technical common sense in the art.

Also, the same reference numerals or reference numerals in each drawing attached to this specification indicate parts or components that perform substantially the same functions. For convenience of description and understanding, the same reference numbers or reference numerals are used in different embodiments. That is, even though all components having the same reference number are illustrated in a plurality of drawings, the plurality of drawings do not mean one embodiment.

In addition, in this specification and claims, terms including an ordinal number such as “first” and “second” may be used to distinguish between elements. This ordinal number is used to distinguish the same or similar elements from each other, and the meaning of the term should not be construed as limited due to the use of the ordinal number. As an example, the use order or arrangement order of components combined with such an ordinal number should not be limited by the number. If necessary, each ordinal number may be used interchangeably.

In this specification, the singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as "comprises" or "consisting of" are intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, and are intended to indicate that one or more other It should be understood that this does not preclude the possibility of addition or presence of features or numbers, steps, operations, components, parts, or combinations thereof.

In an embodiment of the present disclosure, terms such as “module”, “unit”, “part”, etc. are terms for designating a component that performs at least one function or operation, and such component is hardware or software. It may be implemented or implemented as a combination of hardware and software. In addition, a plurality of "modules", "units", "parts", etc. are integrated into at least one module or chip, except when each needs to be implemented in individual specific hardware, and thus at least one processor. can be implemented as

In addition, in an embodiment of the present disclosure, when it is said that a certain part is connected to another part, this includes not only a direct connection but also an indirect connection through another medium. In addition, the meaning that a certain part includes a certain component means that other components may be further included, rather than excluding other components, unless otherwise stated.

1 is a block diagram schematically illustrating an example in which a cloud server system according to the present disclosure constructs a separate system that interworks with at least one sensor device/control device based on communication with a user device.

The cloud server system 100 is to provide at least one virtual server for each user, and may include one or more computers or one or more server devices capable of communicating with each other.

Each computer or server device included in the cloud server system 100 may include one or more processors and one or more memories.

The cloud server system 100 may be connected to external devices through various networks.

The network may be a personal area network (PAN), a local area network (LAN), a wide area network (WAN), etc. depending on the area or size, and depending on the openness of the network, an intranet, It may be an extranet or the Internet.

Cloud server system 100 is LTE (long-term evolution), LTE-A (LTE Advance), 5G (5th Generation) mobile communication, CDMA (code division multiple access), WCDMA (wideband CDMA), UMTS (universal mobile telecommunications) system), WiBro (Wireless Broadband), GSM (Global System for Mobile Communications), DMA (Time Division Multiple Access), WiFi (Wi-Fi), WiFi Direct, Bluetooth, NFC (near field communication), Zigbee, etc. In this way, it can be connected to external devices.

Also, the cloud server system 100 may be connected to external devices through a wired communication method such as Ethernet, an optical network, a Universal Serial Bus (USB), or a ThunderBolt.

Referring to FIG. 1 , the cloud server system 100 may communicate with various user devices 210 , 220 , ... .

The user devices 210 , 220 , ... may be terminal devices such as a smart phone, a tablet PC, a notebook PC, a desktop PC, a PDA, or may correspond to a server device.

The cloud server system 100 may communicate with the user devices 210 , 220 , ... through at least one web page or application.

And, according to an embodiment, the cloud server system 100 may create at least one (virtual) server according to a user's request received through the user device 210 .

Specifically, at least one computer/processor/core included in the cloud server system 100 may be allocated to the user device 210 . In this case, the cloud server system 100 may allocate an Internet Protocol (IP) address of the generated server to work with the user device 210 .

The generated at least one server may be configured with a plurality of virtual servers performing different roles. As a specific example, a monitoring server, a collection server, a training server, an analysis server, etc. may be assigned respectively, and the role of each server will be described later with reference to FIG. 3 .

The generated at least one server may be implemented through a computer/processor/core composed of one hardware unit, but may be divided into a plurality of hardware units performing different roles.

For example, it is assumed that at least one generated server is classified according to roles into an interface server, a queue server, a monitoring server, a collection server, and the like. In this case, the aforementioned interface server, queue server, monitoring server, collection server, etc. may be implemented through separate computers/processors/cores capable of communicating with each other, respectively.

The cloud server system 100 may receive information on at least one sensor device and/or a control device according to a user input received through the user device 210 and register the corresponding devices (with respect to the server).

And, as shown in FIG. 1 , data may be exchanged by performing communication with various sensor devices 310, 320, 330, … and various control devices 410, 420, … registered according to a user input.

In this case, the system including the user device 210 , the generated server, the sensor devices 310 , 320 , 330 , ... , and the control devices 410 , 420 , ... is operated by the user of the user device 210 . can operate as a single system.

The system constructed in this way may correspond to a system having various purposes/functions, such as a smart farm system, a plant equipment system, a smart factory system, a weather prediction system, and an Internet of Things (IoT) system.

The sensor devices 310, 320, 330, ... may each include at least one sensor, and may include one or more sensors for collecting various sensing data according to the purpose/function of the system.

The control devices 410, 420, … are various equipment/equipments (ex. pumps, electric heaters, hot air fans, rails, valves, etc.) for controlling the environment (ex. temperature, atmospheric pressure, process environment, etc.) related to the purpose/function of the system. ) may correspond to various devices for automatically controlling / driving.

Similarly, the cloud server system 100 may create at least one server for other user devices 220 . In this case, a system including the user device 220 , a server, and at least one sensor device may also be built.

As such, the cloud server system 100 according to the present disclosure may monitor sensing data of various sensor devices by creating a server for each user, and may provide information on the monitoring result through the user device.

As a result, even when the user does not directly build the main computer hardware constituting the system, there is an effect that the user can use the main computer function in the form of a cloud service at a relatively low cost.

Hereinafter, an operation and configuration of the cloud server system 100 according to the present disclosure will be described in more detail with reference to the drawings.

2 is a flowchart illustrating a control method of a cloud server system according to an embodiment of the present disclosure.

Referring to FIG. 2 , when user information is input through a user device, the cloud server system 100 may generate at least one server matching the user information ( S210 ).

The user information may include, but is not limited to, information about a user's name, ID, password, name of a system to be established, and an authentication number.

As an example, the cloud server system 100 may provide a membership subscription service through a web page or an application, and when information about a registered user is input, a login service (web page/application, etc.) for the user may be provided. can

In this case, the cloud server system 100 may create at least one server according to the request of the logged-in user device (user), and set an authentication number for accessing the server based on user information input through the user device. can

Thereafter, when at least one user device wants to access the corresponding server, the cloud server system 100 may allow access on the premise that the set authentication number is input.

When the user device is connected to the server, the cloud server system 100 may designate set values for various operation processes (monitoring, control, training, analysis, etc.) of the server based on the user input received through the user device. , specific embodiments will be described later through each of various embodiments below.

When sensor information is input through the user device, the cloud server system 100 may identify at least one sensor device matching the sensor information.

The sensor information includes identification information of the sensor device, the type/number of sensors included in the sensor device, the location of the sensor device, the manufacturing date of the sensor device, and communication information of the sensor device (eg, communication information of a network including the sensor device, It may include various information such as the IP address of the sensor device, the IP address of the relay device to which the sensor device is connected, etc.).

Specifically, when sensor information on at least one sensor device is input according to a user command received through the user device, the cloud server system 100 may perform pairing with the sensor device identified according to the sensor information.

In this case, the cloud server system 100 may perform pairing with the sensor device using identification information and/or communication information of the sensor device (communication connection). Thereafter, the cloud server system 100 may receive sensing data from the sensor device.

Alternatively, the cloud server system 100 may perform pairing with at least one sensor device based on a relationship between the sensor information and the sensed data.

Specifically, the cloud server system 100 receives sensor information (eg, ID, type, number, location, etc. of a sensor device) through a user device, and receives sensing data from at least one sensor device (ex. initiation signal of the sensor device).

In this case, the cloud server system 100 may receive an ID of the sensor device and sensing data (value, time, location, period, etc.) acquired from the sensor device from the sensor device.

In this case, the cloud server system 100 may identify at least one sensor device that outputs sensing data matching sensor information, and perform pairing with the identified sensor device (eg, pairing request).

As a specific example, the cloud server system 100 may determine whether the sensor information and the sensing data match according to the ID of the sensor device. Alternatively, the cloud server system 100 may determine whether to match according to whether sensor information on the type/number/position of the sensor device and the value (type/unit/location, etc.) of the sensing data are interlocked.

In this case, the cloud server system 100 may flexibly perform pairing with each sensor device to appropriately use sensing data for each type/position as needed.

The cloud server system 100 may set a monitoring process of the server based on a user input received through the user device ( S230 ).

The monitoring process refers to a process for monitoring sensing data of at least one sensor device, and includes information about the monitored sensor (type of sensing data), a monitoring cycle, whether real-time monitoring, and communication with a sensor device for monitoring. Various information for the monitoring process, such as a method, may be included.

Here, the server may receive only sensing data, which is a target of monitoring, among various sensing data of a connected sensor device, and/or may store only sensing data, which is a target of monitoring, in a memory.

In addition, the cloud server system 100 may monitor the sensing data of the sensor device previously identified according to the sensor information according to a set monitoring process through the server ( S240 ).

In this case, the cloud server system 100 may transmit the monitoring information obtained according to the monitoring of the server to the user device ( S250 ).

The monitoring information may include values of sensed data for at least some time period, and may include patterns or statistical information for each time/type of the sensed data, but is not limited thereto.

As such, as long as sensor information and a monitoring process are set according to a user input received through the user device, the cloud server system 100 may monitor the sensor device through the server created for the user. As a result, the user does not need to directly perform monitoring through the user device, and the hardware construction cost can be reduced.

Meanwhile, when additional sensor information is inputted through the user device thereafter, the cloud server system 100 may additionally identify another sensor device matching the additional sensor information.

As a specific example, when at least one user device accesses the above-described server on the premise that an authentication number is input, the cloud server system 100 may receive additional sensor information from the corresponding user device.

In this case, the cloud server system 100 may perform (additionally) pairing with at least one sensor device according to additionally input sensor information.

In this case, the cloud server system 100 may monitor a newly added sensor device in addition to the previously monitored sensor device through the server.

In this case, the monitoring process may be the same as the previously set monitoring process, but it goes without saying that the monitoring process may also be constantly changed/updated according to a user input received through the (authenticated) user device.

Meanwhile, the cloud server system 100 may receive control information of the server through the user device.

The control information is information for controlling at least one control device according to the monitoring information. That is, the control information may include identification information/communication information of the control device, information on control equipment under the control of the control device, information on conditions for controlling/driving the control equipment, and the like.

The control device may correspond to a device for controlling/driving at least one control device, such as a pump, an electric heater, a hot air fan, a rail, and a valve.

Specifically, the control information may correspond to information for controlling/driving at least one control device according to a condition (value/range) of the monitored sensing data. Also, the control information may correspond to information for controlling/driving at least one control device according to analysis information obtained according to various embodiments to be described later.

For example, it is assumed that a temperature sensor constituting a smart farm system is connected to a server. Here, the control information may include various information (eg, operation time, operation intensity, target temperature, etc.) for operating at least one electric heater or hot air heater in the smart farm when the temperature is less than the threshold value.

For example, when control information is input through the user device, the cloud server system 100 may identify at least one control device matching the control information.

In this case, the cloud server system 100 may perform pairing with the identified control device.

And, when the sensed data received (monitored) from the sensor device satisfies a preset condition matching the control information, the server may generate at least one command for the control device based on the control information.

Alternatively, when the analysis information obtained with respect to the sensing data received from the sensor device satisfies a preset condition matching the control information, the server may generate at least one command for the control device based on the control information. .

And, the cloud server system 100 may transmit the generated command to the control device. As a result, it is possible to automatically control/manipulate the system environment according to the value and/or analysis information of the monitored sensing data.

Meanwhile, according to an embodiment, the cloud server system 100 may set an analysis process of monitored sensing data based on a user input received through the user device.

The analysis process may include information on various analysis processes, such as a preprocessing method of sensing data, sampling, average extraction, deviation extraction, classification, pattern analysis, normalization, and scaling.

In addition, the analysis process may be set to match at least one symptom according to a condition/range of the value of the sensed data.

For example, if the sensing data, which is the object of monitoring, is not received for more than a threshold time, it may be set as a symptom of a communication state defect. can

In this case, the cloud server system 100 may obtain analysis information by analyzing the sensed data according to the analysis process through the server.

The analysis information may include at least a portion of the sensed data, and other information related to various patterns/statistics related to the sensed data.

In addition, the analysis information may include information (cause, symptom, start time, etc.) about a defect in at least one component (sensor device, control device, some components in the cloud server system, etc.).

The cloud server system 100 may transmit the analysis information obtained according to the analysis result to the user device.

Meanwhile, according to an embodiment, the cloud server system 100 may set a training process for at least one artificial intelligence model based on a user input received through the user device.

The artificial intelligence model may be a model for determining whether the sensor device has a failure (whether or not there is a defect), whether a communication state between the sensor device and the cloud server system 100 is defective, or whether a defect has occurred in the cloud system 100 .

Alternatively, the artificial intelligence model may be a model for acquiring at least one piece of prediction information based on sensing data.

For example, when the sensed data is sensing data for temperature, air pressure, humidity, etc. for each region, the artificial intelligence model may be trained to output weather prediction information for each region.

The artificial intelligence model, for example, may be implemented as a deep learning-based neural network model, and may be trained in such a way that weights between nodes belonging to different layers in the model are updated according to input/output of the model.

The training process may include information on sensing data to be used for training (type, data amount, time interval, collection period), training period, training amount (data amount/computational amount), and the like.

In addition, the training process may include information on a specific layer configuration of the neural network model, definition of data corresponding to input/output among the training data sets, and the amount of training data included in each batch.

The cloud server system 100 may train an artificial intelligence model by applying the sensing data according to the training process set as described above through the server, and analyze information on the sensed data using the trained artificial intelligence model. can be obtained

Meanwhile, the cloud server system 100 may generate billing information for the user of the user device.

The billing information may include information on a usage fee of a cloud service (server) used by the user device.

Specifically, the cloud server system 100 may generate billing information for the user of the user device based on a billing policy according to at least one of the amount of computation of the server, the amount of data used by the server, and the amount of data communication of the server.

Here, the cloud server system 100 may utilize a billing policy selected according to a user input received through the user device from among a plurality of preset billing policies.

In the case of the billing policy, the greater the amount of computation of the server, the greater the data use, the greater the data communication amount, the greater the amount may be set to be charged.

The cloud server system 100 may generate billing information every preset period (eg, monthly/quarter/half-year/year, etc.) and transmit the billing information to the user device. Alternatively, the cloud server system 100 may transmit the billing information to the user device whenever the amount calculated according to the billing information reaches a predetermined amount. However, various other embodiments are possible for the method of generating/claiming billing information.

Meanwhile, the cloud server system 100 may change the charging policy according to whether the system (server, sensor device, control device, etc.) operates smoothly.

For example, the server may analyze the sensing data received from the sensor device to diagnose the operation of the sensor device, the communication state between the sensor device and the server (the cloud server system 100 ), the operation of the server, and the like.

If a defect occurs in the operation of the sensor device or a communication state (between the sensor device and the server), the cloud server system 100 may transmit information notifying the occurrence of the defect to the user device.

In this case, the cloud server system 100 generates billing information based on the first billing policy for a time period in which a defect does not occur in the operation and communication state of the sensor device, and at least among the operation and communication state of the sensor device. For a time section in which one defect occurs, charging information may be generated based on a second charging policy different from the first charging policy.

For example, when a defect occurs in at least one of an operation and a communication state of the sensor device, since the system operated by the user does not operate smoothly, the amount of billing for unit data (data size) or unit time is relative may be reduced and adjusted.

Also, the charging policy may vary depending on where the defect occurred.

For example, when the defect corresponds to a defect of the sensor device itself, the cloud server system 100 may apply the same charging policy as that of the time period in which the defect does not occur even for a time section in which the defect occurs.

Alternatively, when a defect in the sensor device itself occurs, the cloud server system 100 does not add hourly billing until a predetermined time elapses from the time when the defect is notified to the user device. Hourly charges can also be added whether or not they are cancelled.

In this case, the length of the predetermined time needs to be preset to such a degree that the user has no shortage of realistically recovering/replacing the sensor device. In addition, the length of the predetermined time may be differently preset according to the type/number of sensor devices in which the defect has occurred, the type of the defect, and the like.

On the other hand, when the defect corresponds to a defect in the cloud server system 100 , the cloud system 100 may not add hourly billing until the defect is resolved. That is, hourly billing may not be calculated during the time period in which the cloud server system 100 has a defect.

Meanwhile, as an embodiment, when a load greater than or equal to a threshold is generated on the server, the cloud server system 100 may additionally create at least one server matching user information.

Assuming that the generated server includes a plurality of servers performing different operations, the cloud server system 100 identifies a server having a load equal to or greater than a threshold among the plurality of servers, and performs an operation matching the identified server You can also create additional servers that run.

As a specific example, it is assumed that a collection server, a monitoring server, a training server, and an analysis server are each allocated to a specific user. Here, when the load of the training server exceeds the threshold, the cloud server system 100 may additionally create/allocate the training server.

In this case, charging information may be generated differently according to the number of servers to be added. That is, as the number of servers increases, the billed amount may increase.

Meanwhile, according to an embodiment, the cloud server system 100 may predict the number of servers required for the system of the user device based on sensor information (type, number, location, etc. of sensors) received from the user device. .

In addition, the cloud server system 100 may allocate the predicted number of servers to the user device. Here, the amount of computation for each server may be preset, and a certain number of computers or cores may be allocated to each server.

To this end, the cloud server system 100 may use at least one artificial intelligence model trained to predict the required number of servers according to sensor information.

For example, the cloud server system 100 may identify the number of servers used for each system maintained for a predetermined time or longer while providing one or more servers for each of the systems interworking with various user devices.

In addition, the cloud server system 100 may train a corresponding artificial intelligence model based on sensor information (type, number, location, sensing period, etc. of sensors) matched for each system and the number of servers used for each system.

Thereafter, when user information and sensor information are input from a new user device (ex. S210-S230), the cloud server system 100 inputs the sensor information into the trained artificial intelligence model, You can predict the number of servers you will need (in the future).

And, the cloud server system 100 may create/allocate the predicted number of servers for the corresponding user device. On the other hand, in the case of the above-described embodiment, the artificial intelligence model is trained based on only the sensor information to determine the number of servers required. Although it has been described that prediction is performed, at least one of a monitoring process, an analysis process, and a training process in addition to sensor information may be additionally used for training and prediction.

Meanwhile, according to an embodiment, the user device may provide an application/web page for providing various services by interworking sensing data/monitoring information/analysis information received from the server of the cloud server system 100 .

To this end, the user device may additionally use at least one external server, and may provide services to various customer terminals.

For example, the user device may provide monitoring information/analysis information acquired through the server of the cloud server system 100 to various customer terminals.

Also, the user device may receive a command for controlling at least one control device from the customer terminal through the server of the cloud server system 100 .

That is, when a control command for at least one control device is received from the customer terminal, the user device may transmit the control command to the server of the cloud server system 100 , and the server may transmit the control command to the control device. As a result, the control device may be remotely controlled according to the control command received from the customer terminal. In this case, there is an advantage that the customer terminal can indirectly participate in system control on the premise of authentication of the user device. A related specific embodiment will be described later with reference to FIG. 4 .

Meanwhile, FIG. 3 is a block diagram illustrating a functional configuration of a cloud server system according to an embodiment of the present disclosure.

Referring to FIG. 3 , the cloud server system 100 includes a distributed processing unit 101 , a contact interface unit 102 , a clustering message processing unit 103 , a monitoring unit 104 , a collection unit 105 , and a storage unit 106 . , a training unit 107 , an analysis unit 108 , a billing unit 109 , a setting unit 110 , and the like. These configurations may be divided based on software and/or hardware within the cloud server system 100 .

The distributed processing unit 101 is a configuration for distributed processing of data received from various devices (user device, sensor device, control device, etc.).

The distributed processing unit 101 may distribute and transmit a data load to a plurality of servers (eg, each server in the contact interface unit) in order to flexibly respond to data throughput ranging from small to large.

However, when a load is generated on the entire existing server, the distributed processing unit 101 may additionally create a server (Scale-Out).

The contact interface unit 102 is configured to provide an interface with a user, and may be linked to a sensor device, a control device, a user device, etc. through at least one web page/application.

For example, the contact interface unit 102 may provide at least a part of a web page or application for membership registration/login of the user device, and other sensor information, control information, and monitoring/training/analysis processes from the user device. can be input.

Also, the contact interface unit 102 may provide at least one user interface for controlling the server through the user device on the premise that the authentication number is set while the authentication number is input through the user device.

In addition, the contact interface unit 102 receives a user command requesting monitoring information, analysis information, etc. through the user device, monitoring information from the monitoring unit 104, the storage unit 106, the analysis unit 108, etc.; The analysis information may be acquired and transmitted to the user device.

The contact interface unit 102 may transmit/receive data through an interface server created for each user.

The clustering message processing unit 103 is configured to classify sensing data, which is a monitoring target, and manage messages to be transmitted to the user device.

The clustering message processing unit 103 may classify the received sensing data to be used according to each storage type, and may transmit the sensing data to the monitoring unit 104 or the collecting unit 105 .

The clustering message processing unit 103 may classify data through a queue server created for each user, and the clustering message processing unit 103 collects the sensing data in a FIFO (First In First Out) method. 105), etc. In this case, real-time monitoring of the sensed data according to the passage of time is possible.

And, when a load greater than a threshold is generated on the queue server, a queue server may be additionally created and used.

Also, the clustering message processing unit 103 may acquire at least one notification message or a control command based on monitoring information or analysis information. In this case, the clustering message processing unit 103 may transmit a notification message to the user device or a control command to the control device.

The monitoring unit 104 is configured to monitor the sensed data.

The monitoring unit 104 may perform monitoring through a server created for each user.

The monitoring unit 104 monitors the sensed data received from the clustering message processing unit 103, and when the sensed data satisfies a preset condition, sends a signal indicating that the sensed data satisfies the preset condition, the clustering message processing unit 103 ) can be transmitted.

In this case, at least one notification or control command may be transmitted to the user device or the control device through the clustering message processing unit 103 and the contact interface unit 102 .

The collection unit 105 is configured to collect and flexibly manage sensing data. The collection unit 105 may manage the collection/storage of data through a server created for each user.

The collection unit 105 may store the sensed data on the storage unit 106 in various forms/methods. For example, the collection unit 105 may control the collected sensing data to be stored in the storage unit 106 for a certain period of time and then deleted when the corresponding period has elapsed.

The storage unit 106 is configured to store various sensing data, monitoring information, analysis information, artificial intelligence model, and the like, and may store the above-described data by securing a separate storage space for each user.

The storage unit 106 may include various types of storage such as relational distributed storage, time series storage, unstructured storage, and other data type storage.

The training unit 107 is configured to train an artificial intelligence model using the collected sensing data.

The training unit 107 may define inputs and outputs of at least one artificial intelligence model according to a user input, and may designate at least a portion of the sensed data as training data according to the user input.

The training unit 107 may use a training server created for each user, and may use at least one AI-only processor.

The analysis unit 108 is configured to obtain analysis information by analyzing sensing data, monitoring information, and the like.

The analysis unit 108 may analyze the sensed data using the stored sensing data, monitoring information, a trained artificial intelligence model, and the like.

Specifically, the analysis unit 108 is a defect/failure of the sensor device, a defect/failure of the cloud server system 100, a defect/failure of a control device or control equipment, a communication state between the sensor device and the cloud server system 100, etc. Defects/failures can be determined.

Also, the analysis unit 108 may acquire various statistical analysis data related to sensing data or monitoring information.

The billing unit 109 is a configuration for generating billing information by calculating for each user the amount of computation, traffic, and load performed through the various configurations described above.

The contact interface unit 102 may provide the charging information generated through the charging unit 109 to the user device through a web page/application.

The billing unit 109 may generate/allocate and use at least one billing server, and the billing server may be created for each user or one billing server may be used for a plurality of users.

The setting unit 110 is a configuration for managing various settings related to data communication, data collection, data processing, data analysis, and data provision.

Specifically, the setting unit 110 may set a monitoring process, an analysis process, a training process, etc. based on a user input received through the user device. In this case, the user input may be received in the form of at least one instruction or a command, but is not limited thereto.

In addition, the setting unit 110 may set various items such as a protocol for performing communication with the sensor device/control device, a sensing data storage method, and statistics and insight information.

Also, the setting unit 110 may set a method in which monitoring information/analysis information is provided to a user (eg, information on a web page, a provision period, etc.).

The setting unit 110 may generate/allocate and use at least one setting server, and the setting server may be created for each user or one setting server may be used for a plurality of users.

Meanwhile, FIG. 4 is a block diagram illustrating an operation of individually contributing to various monitoring systems by the cloud server system according to an embodiment of the present disclosure.

Referring to FIG. 4 , the cloud server system 100 allocates a server 410 ′ to the environment research system 410 of the user device 411 , and a server to the smart farm system 420 of the user device 421 . (420') may be assigned.

As a specific example, it is assumed that the user device 411 is a server/terminal of an environment-related research institute that conducts fine dust research across the country.

And, the sensor devices 412, 413, ... of FIG. 4 are fine dust sensor devices installed in various parts of the country by the Institute, and may correspond to devices capable of interworking with a universal protocol.

In this case, the user device 411 may access the system to the cloud server system 100 according to the present disclosure, create an account (member registration), and create a project group (: environment research system).

As a result, the cloud server system 100 may generate at least one server matching the corresponding project.

And, the user device 411 interlocked with the cloud server system 100 can set the collection period, storage period, training process, collection statistics, etc. along with registration of identification information/communication information of the fine dust sensors 412 and 413 . have.

Also, the user device 411 may set an authentication number that allows access to the server or may receive an authentication number (code) from the cloud server system 100 .

However, as an example, the research institute wants to evaluate the degree of impact on fine dust through on-time data on a minute-by-minute basis.

In this case, based on the user input, the user device 411 may set the server 410 ′ to perform pre-processing (eg, monitoring timing adjustment) on the sensed data before analysis.

Also, the cloud server system 100 may provide sensing data or monitoring information monitored through the server 410 ′ to the user device 411 in real time. In this case, the laboratory side may check whether the sensing data is being smoothly collected on the server 410 ′.

If an abnormality is found in the collection period, statistical information, etc., the laboratory may access the server 410 ′ through the user device 411 to perform settings such as changing the network method.

Meanwhile, the user device 411 may additionally analyze monitoring information or analysis information received from the server 410 ′.

In this case, the user device 411 may perform additional analysis on the monitoring information/analysis information received from the server 410 ′ through at least one application, and provides additional analysis information to various customer terminals through the application. You may. In this case, the user device 411 may use at least one additional external server.

As such, when the server 410' of the cloud server system 100 is used, even if a sensor device or a control device is added in the future, there is an advantage that the user's facility expansion is not burdensome, and at least one application is additionally interlocked. It also has the advantage of being able to use the data.

Also, as a specific example, it is assumed that the user device 421 is a server/terminal of an administrator or operator of a smart farm.

The manager/operator may be an operator that provides a smart farm service.

Specifically, the manager/operator may install and manage the sensor devices 422, 423, ... for measuring the temperature or soil quality of fields and plastic houses. In addition, the manager/operator may install and manage various control devices 424 for controlling the agricultural environment, such as an automatic water supply device, a hot air fan, and a fan.

In this case, the user device 421 may access the cloud server system 100 based on a user input to create an account and create a project group (smart farm system 420 ). As a result, the cloud server system 100 may create/allocate at least one server 420 ′ for the user device 421 .

In addition, the user device 421 may register identification information/communication information of the sensor devices 422 , 423 , ... and the control devices 424 , ... based on a user input.

Also, the user device 421 may set an authentication number for access to the server 420 ′ or may receive an authentication number (code) from the cloud server system 100 .

The user device 421 may register various settings related to the operation of the server 420 ′ on the cloud server system 100 based on a user input.

Specifically, the user device 421 may select and activate the sensing data collection period, storage period, training process, failure determination, and control support function through analysis of the server 420 ′.

In this case, the manager of the smart farm system 420 (: the user of the user device 421) can provide an automatic control service of the control device 424 according to the monitoring result of the sensing data without establishing a separate server. Smart farm services can be provided.

In addition, the smart farm system 420 configures a user homepage (or application) linked with the sensing data, monitoring information, and analysis information provided by the server 420 ′ to receive various customer terminals (eg, smart farm services provided). agricultural workers).

Here, the user device 421 may provide various UI (User Interface) for operation of the control device 424 to the customer terminal through a web page/application, and the customer terminal (customer) received through the UI The command may be sent to the server 420'. As a result, the control device 424 under the control of the server 420 ′ may operate according to a command received from the customer terminal.

In this case, not only the user of the user device 421 (the administrator who provides the smart farm service) but also the customer accesses the web page provided by the user device 421 through the customer terminal, thereby interworking with the server 420 ′. There is an advantage of being able to control the control device 424 .

Meanwhile, although only an embodiment in which each server 410', 420' is independently applied to separate systems 410 and 420 is described in FIG. 4, each of the servers 410' and 420' performs one operation. It does not have to be limited only within the system of That is, the operation of the computer/processor/core operating as each of the servers 410' and 420' is not limited to one system.

For example, when the amount of use of the server 410 ′ initially set by the user device 411 for the environmental research system 410 is not large (less than a predetermined value), at least one computer constituting the server 410 ′. The /processor/core may be flexibly assigned to perform monitoring/analysis of sensing data of another system (eg, the smart farm system 420 ).

On the other hand, the various embodiments described above as examples of the environmental research system 410 and the smart farm system 420 are not necessarily applied only to systems for environmental research or smart farm use, but also for various other uses. Of course, it can be applied to a system and a user, and the embodiment according to the present disclosure should not be construed as being limited to a specific use of the system.

Meanwhile, the various embodiments described above may be implemented by combining two or more embodiments as long as they do not conflict with or contradict each other.

Meanwhile, the various embodiments described above may be implemented in a recording medium readable by a computer or a similar device using software, hardware, or a combination thereof.

According to the hardware implementation, the embodiments described in the present disclosure are ASICs (Application Specific Integrated Circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays) ), processors, controllers, micro-controllers, microprocessors, and other electrical units for performing other functions may be implemented using at least one.

In some cases, the embodiments described herein may be implemented by the processor itself. According to the software implementation, embodiments such as procedures and functions described in this specification may be implemented as separate software modules. Each of the software modules described above may perform one or more functions and operations described herein.

Meanwhile, computer instructions or computer programs for performing processing operations in at least one electronic device in the system 100 according to various embodiments of the present disclosure described above are non-transitory computer readable media (non-transitory). may be stored in a computer-readable medium). When the computer instructions or computer program stored in such a non-transitory computer-readable medium are executed by the processor of the specific device, the specific device performs the processing operation in each device/system according to the various embodiments described above.

The non-transitory computer-readable medium refers to a medium that stores data semi-permanently, not a medium that stores data for a short moment, such as a register, cache, memory, etc., and can be read by a device. Specific examples of the non-transitory computer-readable medium may include a CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.

In the above, preferred embodiments of the present disclosure have been illustrated and described, but the present disclosure is not limited to the specific embodiments described above, and it is common in the technical field pertaining to the present disclosure without departing from the gist of the present disclosure as claimed in the claims. Various modifications may be made by those having the knowledge of

100: cloud server system

Claims (8)

In the control method of a cloud server system for performing communication with at least one user device,
generating at least one server matching the user information when user information is input through the user device;
identifying at least one sensor device matching the sensor information when sensor information is input through the user device;
setting a monitoring process of the server based on a user input received through the user device;
monitoring, by the server, sensing data received from the identified sensor device according to the set monitoring process; and
Transmitting the monitoring information obtained according to the monitoring of the server to the user device; including,
The control method of the cloud server system,
generating billing information for a user of the user device based on a billing policy according to at least one of the amount of computation of the server, the amount of data used by the server, and the amount of data communication of the server;
analyzing, by the server, the sensed data received from the sensor device, diagnosing an operation of the sensor device and a communication state between the sensor device and the server; and
When a defect occurs in the operation or the communication state of the sensor device, transmitting information notifying the occurrence of the defect to the user device; further comprising,
The step of obtaining the charging information includes:
For a time period in which a defect does not occur in the operation of the sensor device and the communication state, billing information is generated based on the first billing policy,
For a time period in which a defect occurs in at least one of the operation of the sensor device and the communication state, generating billing information based on a second billing policy different from the first billing policy,
When a predetermined time elapses after information indicating the occurrence of the defect is transmitted to the user device due to a defect in the operation of the sensor device, generating billing information based on the first billing policy,
The predetermined time is
A control method of a cloud server system, which is set according to a type of a defect that has occurred, a type of a sensor device in which the defect has occurred, and the number of sensor devices in which a defect has occurred. According to claim 1,
The control method of the cloud server system,
When additional sensor information is input through the user device, identifying another sensor device matching the additional sensor information; further comprising,
The monitoring step is
A control method of a cloud server system for monitoring, through the server, sensing data received from each of the identified sensor device and the other identified sensor device according to the set monitoring process. According to claim 1,
The control method of the cloud server system,
when control information is input through the user device, identifying at least one control device matching the control information;
generating, by the server, a command for the control device based on the control information when the received sensing data satisfies a preset condition matching the control information; and
Transmitting the generated command to the control device; further comprising a control method of the cloud server system. According to claim 1,
The control method of the cloud server system,
setting a training process for at least one artificial intelligence model based on a user input received through the user device;
training, by the server, the artificial intelligence model by applying the received sensing data according to the set training process; and
Obtaining, by the server, analysis information on the received sensing data using the artificial intelligence model; further comprising, a control method of a cloud server system. delete delete According to claim 1,
The control method of the cloud server system,
When a load greater than a threshold is generated on the server, additionally generating at least one server matching the user information; further comprising, a control method of a cloud server system. According to claim 1,
The at least one server,
a collection server for collecting sensing data;
Monitoring server for monitoring the sensed data;
a training server that trains an artificial intelligence model based on the sensed data; and
A control method of a cloud server system, including; an analysis server that analyzes the sensed data.

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