KR20190129649A - System and method for diagnosing power comsumption based big data - Google Patents

Abstract

The present invention relates to a big data based power consumption diagnosis system and a diagnostic method thereof which receive one or more data about power consumption from IoT devices installed in one or more power installations and analyze the received data using a big data based NoSQL database processing function to analyze a pattern of unstructured data, thereby integrating and managing limited data managed by each IoT device.

Description

Big data based power usage diagnostic system and diagnostic method {SYSTEM AND METHOD FOR DIAGNOSING POWER COMSUMPTION BASED BIG DATA}

This application claims the benefit of priority based on Korean Patent Application No. 10-2018-0054288 dated May 11, 2018, and all content disclosed in the literature of that patent application is incorporated as part of this specification.

The present invention relates to a big data based power usage diagnostic system and diagnostic method, and more particularly, to receive one or more data on power consumption from an IOT device installed in one or more power facilities, and the received data is a NoSQL based big data. The present invention relates to a big data based power usage diagnosis system and diagnostic method capable of integrating and managing each limited data managed by each IOT device by analyzing patterns of unstructured data using a database processing function.

As the government's regulations on energy efficiency improvement and the reduction of company-wide energy GHG reduction are systematically and consistently pursued according to certain procedures and techniques, such as the Energy Use Rationalization Act and the Framework Act on Low Carbon Green Growth, the energy management system ( There is a growing interest in Energy Management System (EMS). EMS is a management system for setting and achieving energy efficiency improvement goals, and is used in various places where energy is used, such as factories and homes.

In general, with the spread of the Internet of Things (IoT), various kinds of electronic products using IoT are used in factories and homes. For example, gas / power / water / hot water usage meter, lighting controller to control lighting, energy manager to manage energy, display to display information, refrigerator, washing machine, water purifier, microwave oven, kimchi refrigerator, Television, air conditioner and audio.

On the other hand, if you want to apply the EMS in factories and homes that use a lot of IoT devices, as shown in Figure 1, not only one home but also the type and manufacturer of IoT devices and sensors installed in multiple homes are different Different communication modules may be used, and when a manufacturer uses different individual communication modules, a plurality of platforms corresponding to each standard method are required because the standard methods of communication applied by the manufacturers are different. When using a plurality of platforms as described above, there is a problem that it is difficult to manage the measurement equipment integrally. In addition, there is a problem that additional manpower is required for equipment management, and the time required to increase.

In addition, by analyzing the power consumption patterns of electronic products and power equipment used in a plurality of homes, factories, etc., even if you want to check the energy use efficiency and diagnose the abnormality, each received from the power equipment of a plurality of homes, factories, etc. Since it is difficult to analyze, store and manage a large amount of power consumption data, a number of monitoring systems for monitoring have to be established.

Korea Patent Registration No. 10-1561541

The present invention has been made to solve the above-described problem, and receives one or more data on power consumption from an IOT device installed in one or more power equipment, and the received data is unstructured by utilizing a NoSQL database processing function based on big data. By analyzing the pattern of the data, it is to provide a big data-based power usage diagnostic system and diagnostic method that can integrate and manage each data managed limited by each IOT device.

In particular, the present invention improves the conventional monitoring system in which IoT devices and sensors are limitedly managed and monitored differently, and thus, a big data-based power usage diagnosis system and diagnostic method in which IoT devices and sensors can collectively manage different products. To provide.

According to an embodiment of the present invention, a big data-based power usage system includes a communication unit which receives one or more data on power consumption of the power equipment from one or more communication modules included in a power equipment, and analyzes the received one or more data. And a data pattern extracting unit for extracting a data pattern and a database unit for storing the extracted data pattern, wherein the database unit can diagnose the abnormality of the data pattern extracted using a big data-based open analysis process.

In an embodiment, the database unit may include a NoSQL database, and may use the open source software (OSS) to mass store and analyze the extracted data pattern in the NoSQL database in real time.

In an embodiment, the data pattern extractor may analyze a pattern of failure and usage of the power equipment based on the time value of the received one or more data.

In an embodiment, the data pattern extractor may classify analysis data of the analyzed breakdown and usage patterns of the power equipment for each communication module and store the analyzed data in the database unit.

In one embodiment, the invention further comprises a storage unit for storing a plurality of data pattern formats for the power consumption of the power equipment,

The data pattern extractor may analyze the received one or more data based on the stored plurality of data pattern formats.

The storage unit may store the extracted data pattern in a new data pattern format when there is no data pattern that matches the data pattern extracted by the data pattern extracting unit among the stored plurality of data pattern formats.

In one embodiment, if the communication unit does not have a data pattern that matches the data pattern extracted from the data pattern extraction unit of the plurality of data patterns stored in the storage unit, Internet of Things (IoT) based real-time The new data pattern detection signal may be transmitted to the database unit by using communication.

In one embodiment, the one or more communication modules may correspond to Internet of Things (IoT) based communication equipment.

In one embodiment, the communication unit may receive data using one or more of the communication module and one of the RS-232 communication method, a serial communication method, a Can communication method.

Big data-based power usage diagnostic method according to another embodiment of the present invention in the communication unit, receiving one or more data on the power consumption of the power equipment from at least one communication module included in the power equipment, the pattern extraction unit In the step of extracting a data pattern by analyzing the received one or more data, in the database unit, diagnosing the abnormality of the data pattern extracted using a big data-based open analysis process and in the database unit, The method may include storing the extracted data pattern.

According to an aspect of the present invention, by receiving one or more data on the power consumption from the IOT device installed in one or more power equipment, the received data by analyzing the pattern of the unstructured data by utilizing the Big Data-based NoSQL database processing function This has the advantage of processing and managing large amounts of data.

In addition, according to an aspect of the present invention, by improving the conventional monitoring system in which the IoT devices and sensors are limited and managed differently, there is an advantage that the IoT devices and sensors can manage different products integrated.

In addition, according to an aspect of the present invention, the failure and utilization information of the sensors and IoT devices that are remotely driven can be integrated in the center, and the cause can be quickly analyzed and processed in the event of a real-time failure through an integrated protocol middleware. Have

In addition, according to an aspect of the present invention, by recognizing the data of the protocol pattern, it is possible to learn about the integrated function and has the advantage of managing it.

1 is a diagram schematically illustrating a configuration of a big data based power usage diagnosis system 100 according to an embodiment of the present invention.
2 is a diagram illustrating a series of processes for extracting a power usage pattern.
3 is a diagram illustrating a series of processes for extracting a data pattern and learning the extracted data pattern.
FIG. 4 is a flowchart illustrating an overall process of diagnosing big data based power use through the big data based power use diagnosis system 100 shown in FIG.

Hereinafter, preferred examples are provided to aid in understanding the present invention. However, the following examples are merely provided to more easily understand the present invention, and the contents of the present invention are not limited by the examples.

1 is a diagram schematically illustrating a configuration of a big data based power usage diagnosis system 100 according to an embodiment of the present invention, and FIG. 2 is a diagram illustrating a series of processes of extracting a power usage pattern.

1 and 2, a big data based power usage diagnosis system 100 according to an embodiment of the present invention is largely based on a communication unit 110, a data pattern extraction unit 120, a storage unit 130, and a database unit ( 140).

Here, the configuration of the big data-based power usage diagnostic system 100 is not limited to FIG. 1, and the data pattern extractor 120 performs integration, analysis, and pattern extraction of real-time data received through the communication unit 110. All can proceed.

The communication unit 110 serves to receive one or more data (or real-time data) on the power consumption of the power equipment from one or more communication modules 10 installed (included) in the power equipment.

Here, the one or more communication modules 10 may refer to Internet of Things (IOT) based communication equipment, and the communication unit 110 may perform wired or wireless network communication with one or more communication modules 10.

For example, the communication unit 110 may receive data from each of the one or more communication modules 10 by using any one of an RS-232 communication method, a serial communication method, and a Can communication method.

The data pattern extractor 120 may extract one or more data patterns by analyzing one or more pieces of data received from one or more communication modules 10.

More specifically, the data pattern extractor 120 may analyze a failure pattern and a usage pattern of the power equipment based on a time value of one or more data received through the communication unit 110. Analyzing the data received can be difficult to consistently analyze.

To this end, in the present invention, a pattern may be extracted by comparing and analyzing failures and usages of the power equipment according to the time axis of one or more data. This will be described in more detail with reference to FIG. 2.

Referring to FIG. 2, the power equipment may be a source IP address equipment, an IP address equipment, and an IP device log equipment, and to analyze patterns of power usage of the source IP address equipment. In this case, a request signal for pattern extraction of power usage may be input from a manager terminal (not shown). In this case, when the request signal is received, the data pattern extractor 120 may analyze the power consumption of the source IP address facility based on a time axis and extract a pattern based on the analyzed result. In this case, the extracted data pattern may be stored in the database unit 140 described below as a single pattern. However, the present invention is not limited thereto.

In one embodiment, the storage unit 130 may store a plurality of data pattern formats for power consumption of the power equipment, and the data pattern extractor 120 may receive one or more data received based on the stored plurality of data pattern formats. Can be analyzed.

Here, the data pattern format means a data pattern of power consumption that can appear in various power equipment. For example, the storage unit 130 may store the power consumption data pattern format when the TV is in a normal state and the power consumption data format when the TV is in an abnormal state. Subsequently, when the power pattern extractor 120 receives the power consumption pattern request signal from the TV, the data pattern extractor 120 receives data about power consumption from the TV, and the power pattern data pattern format and the abnormal state stored in the storage unit are in a normal state. The received data may be analyzed based on the power consumption data format in the case. However, the present invention is not limited thereto.

In an embodiment, the storage unit 130 stores the extracted data pattern in a new data pattern format when there is no data pattern that matches the data pattern extracted by the data pattern extractor 120 among the plurality of stored data pattern formats. Can be. In addition, when there is no data pattern that matches the data pattern extracted from the data pattern extracting unit 120 among the plurality of data patterns stored in the storage unit 130, the communication unit 110 is based on the Internet of Things (IoT). The new data pattern detection signal may be transmitted to the database unit 140 using real time communication. However, the present invention is not limited thereto.

The database unit 140 may store and manage one or more data patterns extracted by the data pattern extractor 120.

In one embodiment, the database unit 140 may diagnose the abnormality of the data pattern extracted using a big data-based open analysis process. To this end, the database unit 140 may include a NoSQL database, and mass storage and storage of one or more data patterns extracted from the data pattern extraction unit 120 using Open Source Software (OSS) in the NoSQL database. Real time analysis.

Here, the NoSQL database is SQL, not relational database, which can minimize the duplication of data in a normal relational database and minimize over-normalization to ensure integrity.

In addition, NoSQL databases can use a variety of models for data management, including in-memory key-value stores, graph data models, and document stores. This type of database can be optimized for applications that require large data volumes, low latency, and a flexible data model.

In addition, NoSQL databases are simpler to structure and scale horizontally, which makes them generally more responsive and easier to scale than relational databases.

Therefore, the big data-based power usage diagnosis system 100 according to an embodiment of the present invention may enable mass storage and real-time analysis of power consumption patterns by using a NoSQL database.

Meanwhile, a series of processes for extracting and learning data patterns will be described with reference to FIG. 3.

3 is a diagram illustrating a series of processes for extracting a data pattern and learning the extracted data pattern.

Referring to FIG. 3, the communication unit 110 collects one or more data from one or more communication modules 10 by IoT data communication using a standard interface (Rs-232 communication method, serial communication method, Can communication method) communication method. After integrating one or more data into a predefined data form through the data pattern extractor 120, the function pattern extraction of the RAW data of the important protocol is performed.

Next, the data pattern extractor 120 compares the data patterns through real-time comparison analysis and data analysis. At this time, in the case of the power consumption data analysis engine of the power equipment, the real-time analysis with the data pattern format initially stored in the storage unit 130. In this case, when there is no matching data pattern, the storage unit may store the extracted data pattern in a new data pattern format and may notify the database unit 140 that the new pattern is detected through IoT-based real-time communication.

Next, the overall process of diagnosing big data-based power use will be described with reference to FIG. 4.

FIG. 4 is a flowchart illustrating an overall process of diagnosing big data based power use through the big data based power use diagnosis system 100 shown in FIG.

Referring to FIG. 4, first, the communication unit receives data on power consumption for each power facility from each of the one or more communication modules corresponding to the IOT equipment (S401), and the data pattern extracting unit recognizes patterns according to the time axis of the received data. The data pattern is extracted through the analysis (S402).

Next, the database unit analyzes and diagnoses the existence of a plurality of data pattern formats and extracted data patterns stored in the storage unit using a big data-based open analysis process (S403), and stores the extracted data patterns ( S404).

In this case, when there is no data pattern that matches the extracted data pattern, the storage unit stores the extracted data pattern in a new data pattern format, and the communication unit stores the data extracted from the data pattern extraction unit among the plurality of data patterns stored in the storage unit. If there is no data pattern that matches the pattern, a new data pattern detection signal is transmitted to the database unit using IoT based real-time communication.

Although described above with reference to a preferred embodiment of the present invention, those skilled in the art will be variously modified and changed within the scope of the invention without departing from the spirit and scope of the invention described in the claims below I can understand that you can.

10: communication module
100: big data based power usage diagnostic system
110: communication unit
120: data pattern extraction unit
130: storage unit
140: database unit

Claims (10)

A communication unit for receiving one or more data on power consumption of the power equipment from one or more communication modules included in the power equipment;
A data pattern extracting unit extracting a data pattern by analyzing the received one or more data; And
And a database unit for storing the extracted data pattern.
And the database unit diagnoses an abnormality of the data pattern extracted using a big data-based open analysis process.
The method of claim 1,
The database unit,
A big data-based power usage diagnostic system comprising a NoSQL database, and using open source software (OSS) to mass-store and analyze the extracted data pattern in the NoSQL database in real time.
The method of claim 1,
The data pattern extraction unit,
Big data-based power usage diagnostic system, characterized in that for analyzing the pattern of the failure and usage of the power facility based on the received time value of the one or more data.
The method of claim 3,
The data pattern extraction unit,
Big data-based power usage diagnostic system, characterized in that the analysis data for the failure pattern of the power equipment analyzed and the pattern of the usage is classified by each communication module and stored in the database unit.
The method of claim 1,
Further comprising: a storage unit for storing a plurality of data pattern formats for the power consumption of the power equipment,
And the data pattern extracting unit analyzes the received one or more data based on the stored plurality of data pattern formats.
The method of claim 5,
The storage unit,
Big data based power use, characterized in that for storing the extracted data pattern in a new data pattern format, if there is no data pattern that matches the data pattern extracted by the data pattern extraction unit of the plurality of stored data pattern formats Diagnostic system.
The method of claim 6,
The communication unit,
If there is no data pattern that matches the data pattern extracted by the data pattern extracting unit among the plurality of data patterns stored in the storage unit, the database unit may be configured using the Internet of Things (IoT) based real-time communication. Big data based power usage diagnostic system, characterized in that for transmitting a new data pattern detection signal.
The method of claim 1,
The one or more communication modules,
Big data-based power usage diagnostic system, characterized in that corresponding to the Internet of Things (IoT) -based communication equipment.
The method of claim 8,
The communication unit,
Big data-based power usage diagnostic system, characterized in that for receiving the data using any one of the communication module and the RS-232 communication method, a serial communication method, a Can communication method.
Receiving, by the communication unit, at least one data regarding power consumption of the power equipment from at least one communication module included in the power equipment;
A data pattern extracting unit, extracting a data pattern by analyzing the received one or more data;
Diagnosing an abnormality of the data pattern extracted using a big data-based open analysis process in a database unit; And
And storing, at the database unit, the extracted data pattern.

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