KR102564056B1 - Industrial energy data analysis device - Google Patents

Abstract

The energy data analysis device of the present invention may include a server to which a user's terminal is connected, and a screen display unit implemented by an application installed in the terminal when the terminal is connected to the server, and energy data collected from a device provided in a business entity. is transmitted to the server, the screen display unit includes a data selection unit and a data analysis unit, and when some of the data selection units are selected by the terminal, the data analysis unit provides analysis of energy data of the business to the terminal. can do.

Description

Industrial energy data analysis device {Industrial energy data analysis device}

The present invention relates to an energy data analysis device capable of analyzing energy data of an industry using information on voltage, reactive power, and power consumption of the industry.

In systematic management of industrial energy management, it is important to make decisions and manage operations based on energy data obtained from industrial equipment.

Recently, universal data analysis services including Google Data Studio are in the limelight. However, industrial energy data requires monitoring and analysis in subdivided seconds and minutes, but there are difficulties in general-purpose data analysis services. In addition, a lot of time may be spent on acquiring relevant knowledge and skills necessary for industrial users to obtain desired data analysis results using general-purpose data analysis services.

In this way, it is difficult for users of industries to analyze the energy data of industries as desired using a universal data analysis service.

The energy data analysis apparatus of the present invention may provide a specialized analysis platform for analyzing energy data collected from industrial devices to users, including industrial managers.

The energy data analysis device of the present invention may include a server to which a user's terminal is connected, and a screen display implemented by an application installed in the terminal when the terminal is connected to the server.

Energy data collected from devices provided in the business is transmitted to the server, the screen display unit includes a data selection unit and a data analysis unit, and when some of the data selection units are selected by the terminal, the data analysis unit provides Analysis of the energy data may be provided to the terminal.

The energy data analysis device of the present invention can use a vast amount of energy data collected from industries with short units such as seconds and minutes, and converts energy data with short units to various ranges including weeks, months, and years. It can provide a platform that can be conveniently analyzed throughout.

In addition, a user including a manager or operator of an industry may access a server using a terminal and may use a screen display implemented by an application installed in the terminal. A user can perform energy data analysis with a simple action such as a simple mouse click or drag and drop through the screen display unit.

In addition, the present invention can basically provide changes over time of items included in energy data. In addition, the user can change the row and column of the table or the item of each axis of the graph as desired using the advanced analysis unit of the present invention, and as a result, the user can easily customize the energy data analysis of the industry to suit himself.

1 is a diagram showing the relationship between a server and a data center according to the present invention.
2 is a flow chart of energy data of the present invention.
3 is an explanatory diagram of a data selection unit and a data analysis unit available to the user through the screen display unit of the present invention.
4 is an embodiment of the case where the monitoring unit of the present invention is selected.
5 is an embodiment of the case where the device unit of the present invention is selected.
6 is an embodiment of an item selection unit and a time unit selection unit of the present invention.
7 is an embodiment of a graphic display unit of the present invention.
8 is an embodiment of a case in which the power consumption estimation unit of the present invention is selected.
9 is an example of a case in which a prediction unit for each item of the present invention is selected.
10 is an embodiment of a case in which a prediction unit for each item of the present invention is selected.
11 is an embodiment of the case where the advanced analysis unit of the present invention is selected.
12 is an embodiment when the power efficiency statistical unit of the present invention is selected.

An energy data analysis device according to the present invention will be described with reference to FIGS. 1 to 12 .

Referring to FIG. 1 , the energy data analysis device may include a server 100 or a data center 120 .

A user of the business entity 30 may access the server 100 through the terminal 10 . Users may include managers, operators, or data analysis experts of the business entity 30 . For example, a first business entity may access the server 100 using a first terminal 11, a second business entity may access the server 100 using a second terminal 12, and a third business entity may access the server 100 using a second terminal 12. It is possible to access the server 100 using the terminal 13 . Of course, each terminal may mean connection of an independent individual business entity or a plurality of access paths within the same business entity.

Referring to FIG. 2 , one business entity 30 may include various devices 50 . The business entity 30 means a plant, factory, and the like, and can be extended and applied to a business site where energy data can be collected.

The device 50 may include a device operated by receiving electricity, and may include a manufacturing device, a milling device, a cutting device, a deposition device, and the like. Items included in the energy data may include a state of the device 50 related to operation of the device 50, such as a main purpose of electricity-related data such as power, voltage, current, and power factor, or temperature.

The representation of the device 50 in the drawing of the present invention may be indicated as the A-B device. A may mean a type of device, and B may indicate an order within the same device type. For example, a 1-1 device may mean a first device of a first type of device, and a 1-2 device may mean a second device of a first type of device. In this way, the 2-3 device may mean a third device among the second type of devices.

The energy data analysis device may include a data collection unit 140 .

The data collection unit 140 may be connected to the device 50 of each business entity 30 and transmit the collected first energy data 161 to the data center 120, and the data center 120 may be connected to the server 100 Upon request, the second energy data 162 may be transmitted to the server 100 .

The data center 120 may basically be a database that stores energy data collected from each business entity.

The server 100 may provide a function of an analysis platform using energy data to a user in association with the data center 120 . At this time, the energy data stored in the data center 120 may be variously available in units of seconds, minutes, and hours.

The server 100 and the data center 120 may be simultaneously managed if the amount of transmission and storage of energy data is small and manageable according to the business scale of the business operator operating the server 100 . However, when the number of businesses 30 increases or the amount of energy data is too large, the server 100 and the data center 120 may be managed separately for rapid data processing. When the related businesses 30 increase on a large scale, a plurality of data centers 120 may be provided for each regional base.

As an example, the first energy data 161 may refer to original data collected from the device 50, and the second energy data 162 may be requested by the user through the terminal 10 and the server 100. It may mean data obtained by processing the first energy data 161 by reflecting the .

In another embodiment, the first energy data 161, which is original data, is only collected and stored in the data center 120, and upon request from the server 100, the data center 120 transmits the original data to the server 100 as it is, , The server 100 may process the original data as requested by the user. This may be changed differently depending on the scale of operation of the energy data analysis device and the number of participating businesses.

Meanwhile, the user's terminal 10 may upload past energy data to the data center 120 through the server 100 when the past data of the corresponding device 50 is not stored in the data center 120. there is.

The energy data analysis device of the present invention may include a screen display unit 200 .

The screen display unit 200 may be implemented by an application (app) installed in the terminal 10 and provided to the user when the user accesses the server 100 through the terminal 10 .

The screen display unit 200 may include a data selection unit 300 and a data analysis unit 400 .

The user's terminal 10 may select some of the data selection units 300 according to desired energy data analysis content. Depending on the selected data selector 300, the data analyzer 400 may provide analyzed content to the user.

Depending on the type of the user's terminal 10, the method by which the user selects some of the data selector 300 may vary. For example, the terminal 10 may be a PC or a smart phone, and the selection method may include click, drag and drop, touch, and the like.

The energy data may include data related to electricity use of the device 50, such as power, voltage, current, power factor, reactive power, average voltage, average current, power usage, average power usage, average production, and power consumption versus production.

Additionally, the energy data may include information about the state of the device 50 for safe operation and management of the device 50 and may include temperature.

The data selection unit 300 may include at least one of a monitoring unit 310, a device unit 330, a prediction data unit 350, an advanced analysis unit 370, and a power efficiency statistics unit 390.

The data analysis unit 400 includes an item selection unit 410, a time unit selection unit 412, a period setting unit 414, a graphic display unit 420, a graphic manipulation unit 422, a trace unit 424, and a device selection unit. 430, an expected power calculation unit 432, an expected production amount input unit 434, a period setting unit 450, a parameter selection unit 452, and a scrolling unit 454 may include at least one.

When the user's terminal 10 selects a part of the data selection unit 300, the data analysis unit 400 performs an item selection unit 410, a time unit selection unit 412, a period setting unit 414, a graphic Display unit 420, graphic control unit 422, trace unit 424, device selection unit 430, expected power calculation unit 432, expected production amount input unit 434, period setting unit 450, parameter selection unit ( 452) and at least a part of the scrolling unit 454 and a combined state, the energy analysis result may be provided or displayed to the user.

Some of the components of the data analyzer 400 may be selected or combined according to the selected part of the data selector 300 below.

Therefore, the contents of the components of the data analysis unit 400 for a case where some of the data selectors 300 are selected may be commonly applied even when components of the other data selectors 300 are selected. For example, the graphic display unit 420 may always be included when the analysis result for each item is presented to the user using graphics, and the scrolling unit 454 may be used when the selected time unit period is shorter than the length of the period to be analyzed. can always be included.

If the collected past data is not sufficient, an explanatory phrase may be displayed in the data analyzer 400 .

As an example, if there is no data acquired in the last 1 hour, "There is no voltage (or temperature) data of the selected device. Please check whether the data was normally collected in the Device Detail menu." may be displayed.

As another example, when data required for learning is insufficient because sufficient past data is not collected, a phrase “The number of data required for learning is not met (more than 5% lost)” may be displayed.

Referring to FIGS. 4 to 12 , cases in which components of the data selector 300 are selected will be sequentially described.

FIG. 4 relates to contents displayed by the data analysis unit 400 when the monitoring unit 310 is selected among the data selection units 300 .

The user may monitor the entire device 50 included in the business entity 30 in real time through the monitoring unit 310 .

Since the monitoring unit 310 collects data in units of seconds or minutes, the user can quickly check changes in energy data in near real time.

When the monitoring unit 310 is selected, the data analysis unit 400 may display items for which energy data is not collected as NULL, meaning that the power of the corresponding device 50 is currently off or there is an error in data collection can do. The NULL display can be equally applied even when other items of the data selector 300 are selected.

When the monitoring unit 310 is selected, the data analysis unit 400 may provide information to the user by classifying them by item item and device 50 item.

The user's terminal 10 can select an item to be viewed in real time from the device 50 item, and the selected item can be separately monitored in real time in an item item like a 'favorite' function. A user can easily register or cancel a corresponding item from an item item by clicking an icon such as a 'star icon' corresponding to each item. In addition, since the setting of 'favorites' can be stored in the server 100, even if another terminal 10 or the same terminal 10 in a different time zone accesses it, the setting of the item item and the device item can be maintained. .

5 may be displayed in the data analyzer 400 when the device unit 330 is selected among the data selector 300 .

When the device unit 330 is selected, the data analysis unit 400 includes an item selection unit 410, a time unit selection unit 412, a period setting unit 414, a graphic display unit 420, a graphic manipulation unit 422, and at least one of the trace unit 424 may be displayed.

All devices 50 disposed in the same business entity 30 and for which energy data is acquired by the data collection unit 140 may be displayed on the device unit 330 .

When one device (for example, the 1-1 device) included in the device unit 330 is selected, the terminal 10 includes an item selection unit 410, a time unit selection unit 412, and a period setting unit 414. ) at least one of them can be set. When the setting of the data selection unit 400 is completed, the graphic display unit 420 may provide the analysis result to the user's terminal 10 in a visual representation such as a table or a graph.

FIG. 6 explains the item selection unit 410 and the time unit selection unit 412 of FIG. 5 .

The terminal 10 may select a plurality of items in the item selector 410 . A plurality of selected items may be sequentially listed on the graphic display unit 420 .

The time unit selection unit 412 may set the time unit of the time axis parameter selected as one basic parameter in the graphic display unit 420 . The unit of time may be variously selectable, such as seconds, minutes, hours, and the like. This may be because the energy data acquired by the data collection unit 140 is subdivided into units of seconds or more. Due to this, the monitoring unit 310 may perform real-time monitoring even in units of seconds.

Accordingly, the graphic display unit 420 of the present invention can query statistical energy data in units of minutes, units of time, and the like every second, every minute, and every hour.

7 shows an embodiment of the graphic display unit 420 .

The graphic display unit 420 may include at least one of a maximum line, a minimum line, and an average line so that the user can intuitively understand the analysis result.

The maximum line, minimum line, and average line may be graphs connecting maximum values, minimum values, and average values of the selected item (eg, voltage) over time.

In the case of energy data of the selected item (voltage), it may be statistical data in units of minutes and hours, and may have a minimum value, a minimum value, and an average value.

The graphic display unit 420 may display a maximum line above the average line and a minimum line below the average line based on the average line. The graphic display unit 420 may fill a portion between the maximum line and the minimum line including the average line with color. By setting the average line to be darker than the portion between the maximum line and the minimum line, the user can understand the energy data analysis result at a glance.

When the item selection by the item selection unit 410, the time unit selection by the time unit selection unit 412, and the selection of the period to be analyzed by the period setting unit 414 are completed, the graphic display unit 420 displays the result. can be displayed

If a fairly long time is set in the period setting unit 414 and a relatively short time interval period is set, a scrolling unit 454 may be generated, and continuous data analysis by horizontal or vertical scrolling of the scrolling unit 454 Results can be provided.

The graphic manipulation unit 422 and the trace unit 424 enable a user to easily manipulate the visual representation when the visual representation is generated by the graphic display unit 420 .

The graphic manipulation unit 422 may provide a function of enlarging or reducing or moving a graphic by dragging a mouse or the like so as to quickly and freely analyze energy data. In addition, the analysis result of the graphic display unit 420 or the like can be screen-captured by the graphic manipulation unit 422, the minimum magnification and the maximum magnification can be switched by a manipulation action such as double-click, and a click or a mouse cursor can be used as a graphic. When interacting with the graphic of the display unit 420, a pop-up occurs and a numerical value may be displayed.

The trace unit 424 may perform a function of discriminating between graphics for different objects in the graphic display unit 420 . For example, when past and future energy data are simultaneously displayed on the graphic display unit 420, past energy data may be displayed as a blue line, and future energy data may be displayed as an orange line.

8 may be displayed on the data analyzer 400 when the prediction data unit 350 is selected from the data selector 300 .

The prediction data unit 350 may include a power consumption estimation unit 352 and a prediction unit 354 for each item.

The power consumption estimation unit 352 may include at least one of a device selection unit 430 , an estimated power calculation unit 432 , an expected production amount input unit 434 , and a graphic display unit 424 .

A plurality of devices 50 may be selected in the device selection unit 430 . For example, when a plurality of devices 50 are selected, the amount of power and the amount of production of the selected devices 50 may be added, and in this way, cost calculation of the amount of power compared to the amount of power for each device in various combinations can be calculated.

The power usage estimation unit 352 may predict the amount of power amount vs. amount of production data by analyzing the amount of power amount vs. amount of production amount.

Figuring out how much power to use per product may be one of the important items for cost estimation for the industry 30 including the manufacturing company.

The expected power calculator 432 may provide data including past power consumption, average power consumption, and average production based on data of a predetermined past period. A predetermined historical period may be set in advance, for example, two weeks or the like, and the user may change the historical period as desired.

The expected power calculation unit 432 may calculate a power cost per product using data including past amount of power, average power consumption, average production, and the like, and provide the calculated power cost to the terminal 10 of the user.

In addition, the expected power calculation unit 432 may predict the amount of power used by the corresponding device 50 for a predetermined future period. The user may provide predicted future investment cost information to a person in charge of a consuming company using the amount of power used predicted by the expected power calculation unit 432 .

In particular, a target production amount for each date by the user's terminal 10 may be input to the expected production amount input unit 434, and forecast information tailored to the actual operation target of the business entity 30 may be provided.

In addition, the expected power calculation unit 432 may calculate an optimal amount of production capable of reducing the cost of the device 50 while changing the amount of production. For example, the expected power calculation unit 432 may use a gradient boosting model or a Fourier extrapolation method to calculate an optimal output that minimizes power consumption.

The gradient boosting model may be an algorithm or model that obtains a negative gradient in a direction of reducing a loss function and performs boosting using the negative gradient to sequentially fit residuals.

9 and 10 illustrate display contents of the data analyzer 400 when the item-by-item predictor 354 is selected from the data selector 300 .

When the device 50 is selected by the device selection unit 430 and an item to be analyzed is selected by the item selection unit 410, the item-by-item prediction unit 354 displays the past to the present by the graphic display unit 420. Trends of energy data and predicted future energy data can be displayed.

FIG. 9 may be an embodiment in which time and voltage are selected as parameters of the graphic display unit 420, and FIG. 10 may be another embodiment in which time and temperature are selected as parameters of the graphic display unit 420.

If temperature measurement is performed at a plurality of locations for a specific device 50, it may be selectable from detailed sub-items in the item selector 410.

For example, prediction of energy data presented by the prediction unit 354 for each item may use a gradient boosting model or a Fourier extrapolation method, similarly to the expected power calculation unit 432 .

A period for presenting past energy data of the prediction unit 354 for each item may be preset to be longer than a period for presenting future energy data. This allows the user to quickly identify the problem of the corresponding device 50 by first examining the future forecast for a short period of time for convenience and, if unusual points are found, extending the future forecast period or looking at the trends of other items. there is.

For example, the graphic display unit 420 may provide an actual voltage change graph for the past 1 hour and a voltage change prediction graph for the next 10 minutes.

Through this, the user can know in advance about the possibility of occurrence of overvoltage and undervoltage issues. In particular, it is possible to establish an operation schedule strategy to stably operate the voltage in the future by recalling the operation pattern within the last hour and checking the voltage change.

Similarly, the graphic display unit 420 may provide a graph of change in actual temperature for the past 1 hour and a graph for predicting temperature change for the next 10 minutes.

Through this, the user can grasp in advance the possibility of a temperature issue that is too high or too low, and in particular, by recalling the operation pattern within the last hour and checking the temperature change of the device, an operation schedule strategy to stably operate the device temperature in the future can be established.

FIG. 11 illustrates display contents of the data analysis unit 400 when the advanced analysis unit 370 is selected from the data selection unit 300 .

The advanced analysis unit 370 may include at least one of a period setting unit 414 , a parameter selection unit 452 , a graphic display unit 420 , and a scrolling unit 454 .

When the graphic display unit 420 uses a two-dimensional flat graph using two axes, X and Y, the advanced analysis unit 370 can freely select parameters for the X and Y axes, and analyzes the correlation between the selected parameters. can do.

Referring to FIG. 11 , for example, it may represent a correlation in which voltage and power consumption are proportional to each other in the compressor motor 50 . This can be used as an analysis result that less energy is used when the voltage is low according to Conversion Voltage Reduction (CVR).

12 illustrates display contents of the data analyzer 400 when the power efficiency statistics unit 390 is selected among the data selector 300 .

The power efficiency statistics unit 390 may select devices 50 having the lowest power cost compared to production and display them in order.

For example, the power efficiency statistics unit 390 may calculate the power cost by analyzing data from 0:00 to 24:00 every day, and may show 5 days with the lowest power cost in order of highest efficiency.

The power efficiency statistics unit 390 may filter and show the data of the corresponding date while moving to the 'Device Detail screen' when the 'view details' button of the date for which data is to be analyzed in more detail is selected.

The power efficiency statistics unit 390 may provide an opportunity to improve a strategy for saving power costs by analyzing data of days when power efficiency was good.

In particular, it can be expected that field personnel who know the day's operation schedule will be able to find hidden meanings that are simply invisible in the data when they review the data along with their own experience and knowledge.

When a part of the data selector 300 of the present invention is selected, a corresponding data item can be displayed, and energy data of an item corresponding to the data item can be displayed in a table or graphic type.

At this time, if there is an item or item that is not stored in the energy data provided from the data center 120 and does not exist in the selection list of the data selection unit 300, the user terminal 10 displays the external data on the screen display unit 200. Can be inserted or loaded. The external data to be inserted or loaded may include data in various formats such as Sql, Nosql, txt, and csv.

When external data is imported, the analysis period or time unit period to be analyzed can be specified or set. When energy data provided from the data center 120 and presented to the data selector 300 and external data are combined, they can be automatically synchronized with each other according to a set analysis period or time unit period.

10 ... terminal 11 ... first terminal
12... second terminal 13... third terminal
30... business 50... device
100... server 120... data center
140 ... data collection unit 160 ... energy data
161... first energy data 162... second energy data
200 ... screen display unit 300 ... data selection unit
310 ... monitoring unit 330 ... device unit
350 ... prediction data unit 352 ... power consumption prediction unit
354... item prediction unit 370... advanced analysis unit
390... power efficiency statistics unit 400... data analysis unit
410 ... item selection unit 412 ... time unit selection unit
414... period setting unit 420... graphic display unit
422... graphic control unit 424... trace unit
430 ... device selection unit 432 ... expected power calculation unit
434... Expected production input unit 450... Period setting unit
452... parameter selection unit 454... scrolling unit

Claims (11)

a server to which the user's terminal is connected;
When a terminal is connected to a server, a screen display unit implemented by an application installed in the terminal; including,
Energy data collected from devices equipped in businesses is transmitted to the server,
The screen display unit includes a data selection unit and a data analysis unit,
When some of the data selection unit is selected by the terminal, the data analysis unit provides analysis of the energy data of the business to the terminal;
The data analysis unit includes a graphic display unit providing energy data analysis in a visual representation including a table or graph,
Analysis of the energy data of the business is provided to the data analysis unit by a first mode and a second mode,
The first mode is a mode that provides a predetermined format of energy data of the business when some of the data selectors are selected by the terminal,
The second mode is a mode in which energy data analysis results are customized according to item selection of the terminal by the advanced analysis unit,
The item includes electrical property information of the device including power, voltage, current, and power factor, and state information of the device including temperature,
In the second mode,
Rows and columns of the table of the graphic display unit, or items of each axis of the graph are freely selected and customized by item selection by the parameter selection unit or drag-and-drop method,
An energy data analysis device in which a correlation between items selected for each device is analyzed by customizing the advanced analysis unit in the second mode.
According to claim 1,
The first energy data, which is the original data of the device provided in the business, is transmitted to the data center,
The data center transmits second energy data obtained by processing the first energy data to the server upon request from the server.
According to claim 1,
In the first mode,
The data selection unit includes a device unit that displays all devices that are disposed in the same business entity and can obtain energy data,
When the device unit is selected by the terminal, the graphic display unit includes an item selection unit to be analyzed, a time unit selection unit to set an analysis period including seconds, minutes, and hours, a period setting unit to set an entire analysis period, and Indicates the analysis result,
When some of the device units are selected by the terminal, and an item selection unit, a time unit selection unit, and a period setting unit are set,
The graphic display unit provides an analysis result to the terminal in a visual representation including a table or graph.
According to claim 1,
In the first mode,
The data selector includes a power consumption estimation unit that analyzes the amount of power versus the amount of production and predicts the amount of power versus the amount of production;
When the power consumption estimation unit is selected by the terminal, the expected power calculation unit is displayed in the data analysis unit,
The expected power calculation unit provides data including past power consumption, average power consumption, and average production based on data of a predetermined past period,
An energy data analysis device that calculates the power cost per product using the data including the past amount of power, average power consumption, and average production and provides it to the user's terminal.
According to claim 1,
In the first mode,
The data selector includes a power consumption estimation unit that analyzes the amount of power versus the amount of production and predicts the amount of power versus the amount of production;
When the power consumption estimation unit is selected by the terminal, an expected power calculation unit and an expected production input unit are displayed in the data analysis unit,
When the target production amount for each date, which is the operation target of the business, is input to the expected production amount input unit by the terminal, the expected power calculation unit calculates the expected power consumption according to the change in production amount. Energy data analysis device.
According to claim 5,
The expected power calculation unit energy data analysis device using a gradient boosting model or a Fourier extrapolation method.
According to claim 1,
When there is an item that does not exist in the selection list of the data selection unit provided by the server, the user terminal inserts or loads external data into the screen display unit,
The external data includes data formats including Sql, Nosql, txt, and csv,
When the external data is inserted or loaded, an analysis period or time unit period to be analyzed is specified or set,
An energy data analysis device in which an analysis period or time unit period is automatically synchronized with each other when an item present in the selection list of the data selection unit and the external data are combined.
According to claim 1,
In the first mode,
The data selection unit includes a monitoring unit,
The monitoring unit monitors the device provided in the business in units of time including units of seconds or units of minutes,
When the monitoring unit is selected by the user's terminal, the data analysis unit provides information classified by item item and device item,
An energy data analysis device in which the item item to be monitored is determined through registration and release of the item selected from the device item.
According to claim 1,
In the first mode,
The graphic display unit includes at least one of a maximum line, a minimum line, and an average line so that the analysis result can be intuitively understood,
The graphic display unit displays a maximum line above the average line and a minimum line below the average line based on the average line,
The graphic display unit visually displays a portion between a maximum line and a minimum line including the average line.
delete According to claim 1,
In the first mode,
The data selection unit includes a prediction unit for each item,
When the prediction unit for each item is selected by the terminal and the item to be analyzed is selected,
An energy data analysis device in which a trend of past energy data up to now and predicted future energy data are displayed on the graphic display unit displayed on the data analysis unit.