KR102089811B1 - Energy Management System Based on Platform and Method for Managing Energy Using That Energy Management System - Google Patents

Abstract

The platform-based energy management system according to an aspect of the present invention, which can provide an energy management system as a platform by standardizing and quantifying tasks in which an energy management system is to be built, is matched with target facilities targeted for energy management A data acquisition module that collects measurement data from existing sensors and processes the collected measurement data into a cube format composed of three axes of equipment type, energy type, and time; And a target facility to be diagnosed and a target period to be diagnosed among the target facilities, and a value corresponding to the diagnostic model is extracted from cube-formatted data processed by the data acquisition module. It characterized in that it comprises an energy management module for diagnosing the energy efficiency of the target facility to generate a diagnostic result.

Description

Energy Management System Based on Platform and Method for Managing Energy Using That Energy Management System

The present invention relates to an energy management system, and more particularly, to an energy management system of a facility such as a building or a factory and a management method thereof.

Recently, as facilities such as buildings or factories have become larger and more functional, various facilities such as air conditioning, energy, sanitation, lighting, electric power, crime prevention, and disaster prevention are being built together.

Here, energy equipment (Energy Equipments) means a heat source and a heat transfer facility that produces and supplies heat sources for providing services such as cooling, heating, air conditioning, ventilation, and lighting in facilities using energy such as electricity and gas. .

These energy facilities are energy-consuming facilities that account for more than 30% of the total energy consumption of facilities. In addition, since the energy facilities are designed on the assumption of full load, in most cases, the actual operating efficiency of the facility energy facility operated with a partial load is different from the rated efficiency suggested in the design criteria, and this inefficient If facility operation continues without calibration, the annual energy use of the facility may increase by more than 30-50%.

Therefore, in order to minimize the waste of energy, it is necessary to continuously monitor the actual efficiency of the operating energy facility and maintain and operate the facility in an optimal state.

However, since the shape of the object that uses energy is very diverse and even the same equipment may be efficient or inefficient depending on the operating conditions, it is difficult to diagnose whether the field is operating efficiently using only the measured values. Uneasy. Therefore, it is necessary to determine whether the system is operating efficiently based on the meaning of the measured data and the combination of the measured data. This is because it requires the expert knowledge and experience of the operator, so it is efficient and continuously improving energy. It is not easy to do.

Accordingly, an energy management system has been proposed that automatically calculates the performance and efficiency of a facility by utilizing the operation data of the facility measured through various sensors and provides it to facility operators in various graph forms. An example of such an energy management system is presented in Korean Patent Publication No. 10-2009-0066107.

However, the conventional energy management system has a drawback in that it takes a lot of time to construct the system because the development resources or the system must be configured differently for each customer, and the system is required to modify the previously developed system according to the customer's situation. There is a disadvantage in that it requires additional cost and time to modify the system because the developer of the system must directly modify it.

In addition, even if a conventional energy management system is used, the performance and efficiency of the facilities can be automatically monitored, but the system operator can still diagnose whether or not the facilities are currently operating efficiently based on the performance and efficiency of the monitored facilities. There is a problem in that the reliability of diagnosis is lowered and the same level of diagnosis cannot be continuously performed.

The present invention is to solve the above-mentioned problems, to provide a platform-based energy management system and energy management method that can provide an energy management system on a platform basis by standardizing and quantifying tasks that an energy management system is to be built. The technical task.

In addition, another aspect of the present invention is to provide a platform-based energy management system and an energy management method capable of automatically diagnosing performance and efficiency of facilities.

The platform-based energy management system according to an aspect of the present invention for achieving the above object collects measurement data from sensors matched with target facilities that are targets for energy management, and collects the collected measurement data. , Energy type, and data acquisition module for processing in a cube format consisting of three axes of time; And a target facility to be diagnosed and a target period to be diagnosed among the target facilities, and a value corresponding to the diagnostic model is extracted from cube-formatted data processed by the data acquisition module. It characterized in that it comprises an energy management module for diagnosing the energy efficiency of the target facility to generate a diagnostic result.

Energy management method according to another aspect of the present invention for achieving the above object, the measurement data collected from the sensors matched with the target equipment of the energy management target equipment type, energy type, and three axes of time Processing in a cube format consisting of; And generating a diagnostic model including a target facility to be diagnosed and a target period to be diagnosed among the target facilities, and extracting a value corresponding to the diagnosis model from data in the cube format. Diagnosing energy efficiency of the target facility using the extracted value and generating a diagnosis result; And providing the diagnosis result using a graph or chart.

According to the present invention, it is possible to provide an energy management system as a platform-based platform by standardizing and quantifying tasks in which an energy management system is to be built, thereby shortening the time required for the construction and modification of the energy management system, as well as energy management. It has the effect of flexibly reflecting the business characteristics of customers who wish to build a system.

In addition, according to the present invention, since the measurement data is stored in a three-dimensional form composed of time, equipment, and energy type, there is an effect that the performance and efficiency of each equipment can be analyzed in multiple dimensions.

In addition, according to the present invention, since the energy consumption of each facility is summed and stored in a predetermined time unit, there is an effect that it is possible to derive measurement data for a desired time period more quickly.

In addition, according to the present invention, since the performance and efficiency of facilities can be automatically diagnosed using a diagnostic algorithm, there is an effect of improving the reliability of diagnosis and analysis as well as improving the persistence and consistency of diagnosis and analysis.

1 is a view schematically showing the configuration of a platform-based energy management system according to an embodiment of the present invention.
Figure 2 is a block diagram schematically showing the configuration of the system setting module shown in Figure 1;
3 is a block diagram schematically showing the configuration of a data acquisition module according to an embodiment of the present invention.
4 is a diagram showing a data format in the form of a cube generated by the data processing unit shown in FIG. 3.
5 is a graph showing the relationship between the flow-fluid device discharge pressure and the system pressure of the flow-fluid device generated by the energy management module shown in FIG.
6 is a view showing an example of a diagnosis result by the energy management module shown in FIG. 1.
7 is an example of a screen showing that the monitoring module shown in FIG. 1 monitors whether the efficiency of the pump is continuously maintained.
8 is a diagram schematically showing the architecture of a platform-based energy management system.
9 is a flowchart showing a method of building an energy management system according to an embodiment of the present invention.
10 is a flowchart showing an energy management method according to an embodiment of the present invention.

The meaning of the terms described in this specification should be understood as follows.

It should be understood that a singular expression includes a plurality of expressions unless the context clearly defines otherwise, and the terms "first", "second", etc. are intended to distinguish one component from another component, The scope of rights should not be limited by these terms.

It should be understood that terms such as “include” or “have” do not preclude the presence or addition possibility of one or more other features or numbers, steps, actions, components, parts or combinations thereof.

It should be understood that the term “at least one” includes all possible combinations from one or more related items. For example, the meaning of “at least one of the first item, the second item, and the third item” means 2 of the first item, the second item, and the third item, as well as each of the first item, the second item, and the third item. Any combination of items that can be presented from more than one dog.

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

Platform-based energy management system

First, the platform-based energy management system according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 8.

1 is a view schematically showing the configuration of a platform-based energy management system according to an embodiment of the present invention.

As shown in FIG. 1, the platform-based energy management system 100 according to an embodiment of the present invention enables an operator or a user of a facility to be an energy management object to efficiently manage energy use of the facility. .

Here, the term "platform" means a tangible and intangible structure designed for common use for various purposes. It means a basis for developing and manufacturing complementary derivative products or services based on common utilization factors. .

In particular, the platform-based energy management system 100 according to the present invention is provided in the form of a platform to a customer, not an application-type system provided in advance for each customer, and is subsequently provided to the customer's system setup procedure. It is a system that is completed in a customized form by customers.

In other words, the existing general energy management system was provided after the customer was separately completed for each customer, but the platform-based energy management system 100 according to the present invention was delivered to the customer before the customer completed the setup procedure. Until now, the energy management system is not defined, and when the customer completes the setup procedure, the energy management system is defined.

Accordingly, the platform-based energy management system 100 according to the present invention is connected to a system operator terminal (not shown) or a business operator terminal (not shown) after being provided to a customer through an Internet network or an intranet network, or It is set up by the information input from the field operator, and it is constructed as an energy management system optimized for the customer. After the system construction is completed in an optimized form for the customer, the platform-based energy management system 100 according to the present invention automatically diagnoses energy efficiency of facilities targeted for energy management and provides the result to the system user.

Hereinafter, the configuration of the platform-based energy management system 100 according to the present invention will be described in more detail.

The platform-based energy management system 100 according to the present invention, as shown in Figure 1, the system setting module 110, modeling module 120, data acquisition module 125, energy management module 130, monitoring It includes a module 140, an optimization module 140, and a reporting module 150.

First, the system setting module 110 sets up a platform-based energy management system 100 according to the present invention according to information input by a system operator (or a business operator). Specifically, the system setting module 110 according to an embodiment of the present invention may set a system using a work bench. At this time, the work bench refers to a tool for providing a flexible user interface (UI) and a user-customized application for customizing the platform.

In one embodiment, the system configuration module 110 includes a plurality of workbenches, and may set up a system using a workbench selected by a system operator. Specifically, the system setting module 110 is a workbench for a building energy management system (BEMS) manufactured by grouping elements necessary for energy management of a building, and a FEMS (Factory produced by grouping elements required for energy management of a factory) Workbench for Energy Management System), workbench produced by grouping necessary elements for facility management, and SI (System Integration) produced by grouping necessary elements for system management ), And set up the system using one or more workbenches selected by the system operator among the four workbenches.

At this time, the work bench included in the system setting module 110 is used in advance to provide various information used in the energy management system in order to flexibly accommodate the needs and business changes of various users who use the energy management system. It is divided into 4 areas according to the degree of association with and is configured to include 4 modules for setting or registering each information included in the 4 areas.

At this time, the four areas are reference data areas that are composed of information that is highly relevant to the energy management system and low to energy-related tasks, and business information areas that are highly relevant to energy-related tasks and low to be associated with energy management systems. It consists of a UI area that is highly related to energy-related tasks and energy management systems, and a personalized area that is low to all related to energy-related tasks and energy management systems.

If according to this embodiment, the system setting module 110 according to the present invention, as shown in Figure 2, the basic data setting unit 210 for setting the basic data, the task information setting unit 220 for setting the business information ), A UI setting unit 230 for setting the UI, and a personalization unit 240 for setting data included in the personalization area.

First, the basic data setting unit 210 sets basic data such as terms, items, codes, and tag basic information for the construction and operation of an energy management system using various data input by a system operator or a business operator. . In one embodiment, all the basic data to be set may be meta data and set. Accordingly, when a new item is to be added, the item to be added can be added from the basic data to the new item, so that the addition of the basic data can be easily performed.

In one embodiment, such basic data may be divided into common data elements and facility data elements used in the energy management system. Accordingly, the basic data setting unit 210 may register common data elements used in the energy management system or facility data elements to be used in the system. Here, the common data elements are standard terms used in the energy management system, standard codes, standard attributes, general criteria, unit conversion, and pattern codes. It may include at least one of.

In addition, facility data elements include common facilities (meaning general information of facilities) that can be included in facilities, performance codes of each facility, efficiency constants of each facility, and performance indicators of each facility indicator), a facility-specific constant, a facility point unit, and at least one of a measurement data refinement rule.

According to this embodiment, the basic data setting unit 210 registers standard terms to be used in the energy management system according to information input from a system operator, and then performs performance codes, performance constants, and performance indicators for each facility. And then register the system code, system criteria, and standard items, and register facility point units, common facility information, facility analysis pattern codes, unit-to-unit conversion values, and raw data purification rules.

In the above-described embodiment, the basic data setting unit 210 is described as setting all necessary data when constructing the system according to information input from the system operator, but in the modified embodiment, the basic data setting unit 210 is When the system operator selects to use the various data included as the default, the various data included as the default is registered as it is.

Next, the business information setting unit 220 registers various information on an energy-related business to which the platform-based energy management system according to the present invention is applied.

In one embodiment, the business information setting unit 220 registers an energy type to be monitored in a corresponding facility, a target facility for checking energy consumption, a target area where energy management is required, and an environmental element to be monitored. Here, the target equipment means facilities that are actually installed in the corresponding facility among common facilities registered by the basic data setting unit 210, and the business information setting unit 220 registers specific specification information of the target facilities. .

In more detail, the business information setting unit 220 registers an energy management target (building, hospital, or factory, etc.) according to information input from a system operator or a business operator, and is included in the energy management target Among the facilities, the facilities to be managed are registered. Thereafter, among the facility points modeled through the modeling module 120 to be described later, facility points to be managed are registered, and virtual points that are not actually measured are additionally registered. Thereafter, the business information setting unit 220 registers the energy type to be managed, and maps the registered energy type with pre-registered facility points. Thereafter, the business information setting unit 220 registers indoor and outdoor environmental information and maps the registered indoor and outdoor environmental information with pre-registered facility points. In addition, the business information setting unit 220 may register a scenario to be used in an emergency according to information input from a system operator or a business operator, or additionally register an alarm type to be generated according to an energy state rule.

Next, the UI setting unit 230 registers a UI such as a menu or screen used in the energy management system according to information input from a system operator or a business operator. In one embodiment, the UI setting unit 230 sets the organization, user, and authority of each user in the energy management system, registers a menu screen used in the energy management system, or enables the customer to use the energy management system. The content configuration of the page to be viewed can be registered, the components of the report provided to the customer, or a bulletin board can be registered.

In particular, according to the present invention, the UI setting unit 230 may variably set a screen format for providing a monitoring result or an energy use analysis result according to the system operator's selection.

Next, the personalization unit 240 redefines or changes various information used in the energy management system according to the preferences of the system operator or the business operator. In an embodiment, the personalization unit 240 uses a UI skin, a portlet, and a UI that configures an energy management system according to information input from a system operator or a business operator according to a preference of a system operator or a business operator You can change the language, time zone, etc.

In more detail, the personalization unit 240 uses the energy management system according to the UI skin, layout, portlet, portlet order, language, time zone, and data display type selected by the system operator or the field operator. Will be configured.

On the other hand, in the process of using the energy management system after the construction of the energy management system 100 according to the present invention is completed, the system user also uses the personalization unit 240 as described above, according to his preferences, the UI skin or portlet of the energy management system You can also redefine it.

As described above, in the case of the present invention, by setting various information for the construction of the energy management system 100 through the system setting module 110, an energy management system provided to a corresponding customer is constructed as a ratio.

Meanwhile, although not illustrated in FIG. 2, the system setting module 110 provides a workbench selection screen to a system operator or a business operator to enable a system operator to select any one of a plurality of work benches, and a plurality of Among the workbenches, a workbench selection unit for loading a workbench selected by a system operator or a business operator may be further included.

Referring back to FIG. 1, the modeling module 120 provides each facility and each facility to a system operator or a business operator to register facility points of target facilities and target facilities during system setup or system operation by the system setting module 110. By providing a tool that can graphically express the connection relationship between them, a system operator or a business operator can model a target facility and facility points of each target facility.

That is, the modeling module 120 registers information of all facilities and facilities created by using the corresponding tool, defines input-output energy used by each facility, and registers associations between the facilities before and after each facility and Model facility points of each facility.

In more detail, the modeling module 120 supports P & ID-based design schematic symbols, and allows an operator to freely place equipment used in general manufacturing industries such as pumps, valves, tanks, dust collectors, and cranes. To make.

In particular, the modeling module 120 according to the present invention can express the order of connection of equipment according to the process flow, so that the modeling result can be used for energy flow analysis in the future. In addition, by allowing the instrument information included in the facility to be set together, it is easier to know where the corresponding measurement data is collected, and the type and structure of data transmitted by the measurement sensors can be defined. When modeling by the modeling module 120 is completed, data can be immediately received by exporting the information to the data acquisition module 125.

Next, the data acquisition module 125 matches each target facility and collects measurement data from sensors installed in the field, and stores the collected measurement data in a form that can be used in an energy management system to save energy. (130).

Hereinafter, a detailed configuration of the data acquisition module 125 according to an embodiment of the present invention will be described in more detail with reference to FIG. 3.

3 is a block diagram schematically showing the configuration of a data acquisition module according to an embodiment of the present invention.

As shown in FIG. 3, the data acquisition module 125 according to an embodiment of the present invention includes a data collection unit 310, a data purification unit 320, and a data processing unit 330. In addition, the data acquisition module 125 may further include a first database 312, a second database 322, and a third database 332. In FIG. 3, the first database 312, the second database 322, and the third database 332 are illustrated as being included in the data acquisition module 125, but this is only one example and the first database 312, the second database 322, and the third database 332 may be configured to be physically separated from the data acquisition module 125.

First, the data collection unit 310 collects measurement data from various sensors arranged in the field, and matches the collected measurement data with each facility modeled by the modeling module 120 to obtain a first database 312. To save. That is, the data collection unit 310 stores raw data obtained from various sensors with information of facilities matching the corresponding sensor and stores it in the first database 312.

The data refining unit 320 refines the measurement data stored in the first database 312 according to a predetermined refinement rule to select valid data, and stores the selected data in the second database 322 do. In the present invention, purifying measurement data that is raw data through the data refining unit 320 includes all abnormally measured values in measurement data collected from sensors, and thus, when used as it is, errors may occur in diagnosis. Therefore, it is for selecting only valid data among measurement data collected from sensors.

Next, the data processing unit 330 processes the data purified by the data purification unit 320 and stored in the second database 322 in a predetermined format and stores the data in the third database 332.

In one embodiment, the data processing unit 330 generates data stored in the second database 322 in a cube format composed of three axes of facility type, energy type, and time, as shown in FIG. 4. You can.

Here, the facility type refers to target facilities modeled by the modeling module 120, and the energy type refers to an energy source type such as electricity, gas, or water. In addition, time means a time key for summing measurement data. For example, the data processing unit 330 uses the measurement data as raw data, 5 minute summation data, 30 minute summation data, and 1 hour summation data. The measurement data is summed and stored in a certain time unit, such as daily sum data, monthly sum data, quarterly sum data, semi-annual sum data, and annual sum data.

That is, the data processing unit 330 displays the measurement data, such as a time key, a facility ID (or a facility type ID), an energy type ID, measurement data of the corresponding facility, and a unit of measurement data, as shown in Table 1 below. It is managed in the form of other attributes it contains.

In the present invention, the reason that the data processing unit 330 processes the data stored in the second database 322 in a cube format as shown in FIG. 4 is various viewpoints (energy type viewpoint, time viewpoint, and equipment) This is because multidimensional analysis is not only easy for each type, but also because measurement data are pre-added in a predetermined time unit, a large amount of data can be quickly derived.

As described above, when managing the measurement data in the form of a cube, when diagnosing energy use efficiency of target facilities using the energy management module 130, diagnosis and analysis of energy type changes according to changes in facilities, diagnosis of facility changes according to changes in time And multi-dimensional analysis such as analysis and diagnosis and analysis of energy type change over time.

Referring back to FIG. 1, the energy management module 130 completes setting of all information for system construction by the system setting module 110, and when modeling of target facilities is completed by the modeling module 120, data The performance or efficiency of the target facility is diagnosed based on the cube-shaped data generated by the acquisition module 170.

In one embodiment, the energy management module 130 sets characteristics related to flow rate and pressure, and pipeline resistance in target facilities (eg, compressors, blowers, pumps, etc.) that use fluid and distributes measurement data values A first diagnostic module (not shown) for diagnosing energy efficiency of target facilities using fluids by analyzing a second diagnostic module (not shown) for diagnosing energy efficiency of lighting and air-conditioning facilities, standby mode without operation ( If there are facilities that are operating as a Standby), a third diagnostic module (not shown) that diagnoses whether the standby mode of the facilities is normal, unit cost management for each time zone, energy type, cost calculation based on consumption, and amount of waste 4th diagnostic module (not shown) for calculating and quantifying expected effects, and measuring power usage of target facilities, analyzing power usage patterns according to production volume and facility operating conditions, large It may include a fifth diagnostic module (not shown) to manage the rest of the equipment and replacement schedule.

In the above-described embodiment, the first to fifth diagnostic modules have been described as being included in the energy management module 130 in the form of modules independent of each other, but this is only one example, and the energy management module 130 in the modified embodiment ) Includes one diagnostic module, and one diagnostic module may collectively perform all functions performed by the first to fifth diagnostic modules.

The energy management module 130 according to the present invention first generates a diagnostic model for diagnosing performance or efficiency of target facilities, and extracts necessary data according to the diagnostic model from cube-shaped data generated by the data acquisition module 170 By doing so, the target facilities are diagnosed.

Here, the generation of a diagnostic model refers to a process of setting whether or not a target facility (target facility) is to be diagnosed for a certain period of time (target period) and a determination criterion necessary for diagnosis. At this time, the determination criteria necessary for diagnosis include the upper and lower limits of the measurement data, the efficiency characteristic curve of the target equipment, and the efficiency determination reference values.

Hereinafter, a method in which the energy management module 130 diagnoses performance or efficiency of target facilities will be described as an example. In the following example, a method of diagnosing performance and efficiency of a fluid device (for example, a pump) in which fluid is used will be described as an example.

First, the energy management module 130 specifies a fluid device as a target facility to be diagnosed, and sets a target period for diagnosing the specified fluid device. Thereafter, the energy management module 130 extracts measurement data of the flow rate during the target period and the target period from cube-shaped data related to the flow rate used in the specified fluid device. In addition, the energy management module 130 extracts measurement data on the discharge pressure of the fluid device during the target period and the target period from cube-shaped data related to the discharge pressure of the specified fluid device. In addition, the energy management module 130 extracts the measurement data for the system pressure of the fluid device during the target period and the target period from cube-shaped data related to the system pressure of the fluid device.

Here, the discharge pressure of the fluid device refers to the pressure on the output side or the drain side of the pump, which is the fluid device, and the system pressure of the fluid device means the pressure at the end of the demand destination where the final delivery is collected using the pump.

In addition, the energy management module 130 extracts measurement data on the power consumption value of the fluid device during the target period and the target period from cube-shaped data related to power for driving the specified fluid device. This is to compare the value converted from the flow rate and pressure of the pump, which is a fluid device, into electric power and the electric power required for the actual operation of the pump.

Subsequently, the energy management module 130 sets the flow rate on the X axis, the discharge pressure of the fluid device on the Y1 axis, the system pressure on the fluid device on the Y2 axis, and the discharge pressure of the flow rate-fluid device according to a predetermined mapping rule. It maps to the (X, Y1) coordinates and the system pressure of the flow-fluid device to the (X, Y2) coordinates.

In one embodiment, the energy management module 130 performs a mapping between the flow-fluid device discharge pressure and the flow-fluid device system pressure. In different cases, a time key for synchronizing the measurement period is generated, and the ratio of the number of data generated by the sensor for measuring the flow rate to the data generated by the sensor for measuring the pressure is checked using this. Here, the time key means to determine whether to map the flow rate data by subdividing or grouping the pressure data.

For example, if the sensor for flow measurement performs measurement in 1 minute increments and the sensor for pressure measurement performs measurement in 10 second increments, the ratio of generated data is 1: 6, so all pressure data is 1 / It is distributed to 6 to be mapped.

Meanwhile, when the timers held by each sensor are different from each other, in order to correct the time difference between the sensors, the energy management module 130 checks the timer of each sensor in the field in advance to check the difference value. After reflecting on the measurement data, mapping is performed.

In one embodiment, in the process of mapping, if the data measured by each sensor due to malfunction of each sensor or power trip, etc. is not collected every measurement period or abnormal measurement data is collected, the energy management module ( In order to recover the missing measurement data, 130 may determine the value immediately before the omission occurs or the average value of N (eg, N = 5) data immediately before the omission occurs.

The energy management module 130 also maps the discharge pressure of the flow-fluid device to the (X, Y1) coordinates and the system pressure of the flow-fluid device to the (X, Y2) coordinate according to the mapping rule as described above. You will get a graph as shown in 5.

In the graph shown in FIG. 5, the relationship of X-Y1 is classified by the characteristic curve of the pump, and the relationship of X-Y2 is classified by the characteristic curve of the pipeline of the pump. The solid line shown in FIG. 5 represents the ideal characteristic curve and the ideal pipe resistance characteristic curve of the pump, and the hatched square region in FIG. 5 represents the total amount of energy used. At this time, the ideal characteristic curve of the pump and the ideal pipeline resistance characteristic curve are provided by the manufacturer of the pump.

Subsequently, the energy management module 130 obtains the theoretical efficiency values of the pump from the ideal characteristic curve of the pump and the ideal efficiency curve of the pump, and calculates the relationship of X-Y1 and X-Y2 by the section integral method to calculate each time interval. Calculate each measurement efficiency value. Thereafter, a section capable of improving efficiency is derived by comparing the theoretical and measured efficiency values in the section, and the size of the derived section is converted into power units. Thereafter, the energy management module 130 quantifies the expected effect of improving the efficiency of the pump by multiplying the power rate by the value converted in units of power, and provides the result to the user through the reporting module 150.

According to this example, the diagnosis result by the energy management module 130 may be provided to the user in the form as shown in FIG. 6 by the reporting module 150 to be described later. In the graph shown in FIG. 6, the first region 610 represents the final power supplied to the system pressure of the pump, and the second region 620 represents the final power supplied to the discharge pressure of the pump. Accordingly, the energy management module 130 should provide the user with a result that the size of the second region 620 needs to be reduced to the size of the first region 610 and the expected effect is quantified upon improvement.

As described above, the energy management module 130 according to the present invention automatically diagnoses performance and efficiency of target facilities using data stored in the form of a cube, and provides a diagnosis result to a user.

In addition, the energy management module 130 performs energy trend analysis, performance analysis of each facility, energy comparison analysis of each facility, and energy statistics analysis, and provides analysis results to the optimization module 150 and the reporting module 160 can do.

The monitoring module 140 continuously monitors the target facilities to determine whether the expected effect calculated by the energy management module 130 is continuously maintained. Whether the expected effect calculated by the energy management module 130 is continuously monitored by the monitoring module 140 may be provided to the user in the form shown in FIG. 7 by the reporting module 150 to be described later. . FIG. 7 shows a screen for monitoring whether the efficiency of the pump is continuously maintained by the monitoring module 140 when the energy management module 130 diagnoses a pump that is a fluid device.

In addition, the monitoring module 140 monitors whether or not the measurement data measured at each target facility for each target facility exceeds the upper / lower limit values preset by the system operator and provides it to the user, so that users can efficiently target each target facility. Make it manageable.

In addition, the monitoring module 140 monitors the total energy use in the facility, energy use by use, energy use for each floor or zone, energy use for each system, the condition of each facility, and the indoor and outdoor environment of the facility. , The result is provided to the reporting module 160.

Next, the optimization module 150 derives improvements from the target facility using the diagnostic results provided from the energy management module 130 and predicts whether the improvements are applied to the field through simulation. For example, if the expected effect of improving the efficiency of the pump is diagnosed by the energy management module 130 in the above-described example, the optimization module 150 installs an inverter for variable speed operation of the pump, improves pulleys, and impellers. In order to realize the expected effect, such as improvement in abrasion, solutions that can be actually improved can be provided to the user.

In addition, the optimization module 150 may determine whether the improvement effect is maintained or restored by monitoring and managing the actual improvement effect after applying the improvement to the site. The optimization module 150 provides improvements and monitoring results to the reporting module 160.

The reporting module 160 processes the results generated by the energy management module 130, the monitoring module 140, and the optimization module 150 using various charts or graphs, and provides them to the system user. The report provided by the reporting module 160 analyzes an energy use report including content related to energy use in the facility, a facility performance report including content related to performance of each facility, and an energy use pattern of the facility Includes a pattern analysis report.

8 is a schematic diagram of the architecture of the platform-based energy management system 100 having the above-described configuration.

As illustrated in FIG. 8, the platform-based energy management system 100 according to the present invention may be largely composed of three layers. First, the first layer 800 is a common technical platform layer in which components commonly used in facilities such as buildings or factories are disposed. The first layer 800 may include a data acquisition module 125 that collects data.

Next, the second layer 810 is a business platform layer in which components commonly used in buildings, factories, and the like in connection with energy-related tasks are disposed. The second layer 810 may include the above-described system setting module 110, monitoring module 120, energy management module 130, optimization module 150, and reporting module 160.

Next, the third layer 820 is an application layer in which components uniquely applied in each area of the building and the factory are disposed. That is, the third layer 820 may include an application for implementing BEMS, an application for implementing FEMS, an application for implementing FMS, and an application for implementing SI.

Energy management methods

Hereinafter, an energy management system construction method and an energy management method according to the present invention will be described with reference to FIGS. 9 and 10.

9 is a flowchart showing a method of building an energy management system according to an embodiment of the present invention.

The method of building the energy management system shown in FIG. 9 is performed by a platform-based energy management system as shown in FIG. 1.

First, as illustrated in FIG. 9, when a request for installation and installation of the system is received from a system operator or a business operator (S900), the platform-based energy management system provides a workbench selection screen (S910). Here, the workbench means a tool for enabling a system operator and a business operator to set up a platform-based energy management system according to the present invention.

In one embodiment, the workbench selection screen includes icons for selecting a workbench for a building energy management system (BEMS) produced by grouping elements necessary for energy management of a building, and energy management of a factory Select the workbench for the factory energy management system (FEMS) produced by grouping the necessary elements for the icon, for the factory management system (FMS) produced by grouping the necessary elements for the factory management An icon for selecting a workbench and an icon for selecting a workbench for system integration (SI) produced by grouping elements necessary for system integration management may be included.

Thereafter, when any one of the plurality of workbenches is selected by the system operator or the field operator (S920), the platform-based energy management system displays the system setting screen according to the workbench selected by the system operator or the field operator as the system operator or Provided to the field operator (S930).

In one embodiment, the system setting screen is an icon for setting reference data composed of information that is high in association with the energy management system and low in relation to the energy management system, and has high association with the energy management system and the energy management system Icons for setting work information with low association, icons for setting UI with high relationship with energy-related work and energy management system, and personalized information with low connection with energy-related work and energy management system Contains icons for setting.

Thereafter, the energy management system is set up based on the information input through the system setting screen (S940). First, when a system operator or a business operator selects an icon for setting the reference data, the platform-based energy management system is the basic data such as terms, items, codes, and basic tag information for the construction and operation of the energy management system. Provides a menu screen for setting a to a system operator or a field operator, and sets basic data of the energy management system using various data input by the system operator or the field operator through the corresponding menu screen.

In one embodiment, such basic data may be divided into common data elements and facility data elements used in the energy management system. Here, the common data elements are standard terms used in the energy management system, standard codes, standard attributes, general criteria, unit conversion, and pattern codes. It may include at least one of.

In addition, facility data elements include common facilities that can be included in facilities, performance codes of each facility, efficiency constants of each facility, performance indicators of each facility, constants for each facility, and facility points It may include at least one of a unit (Point Unit), and a measurement data refinement rule.

On the other hand, when a system operator or a business operator selects an icon for setting work information in S940, the platform-based energy management system can be used for various energy-related business to which the platform-based energy management system according to the present invention is applied. A menu screen for registering information is provided to a system operator or a business operator, and information on energy-related tasks of the energy management system is registered using various data input by the system operator or the business operator through the menu screen.

In one embodiment, information on energy-related tasks is an energy management target (building, hospital, or factory, etc.), facility information, facility point information, virtual point information, energy type, registered in the energy management target It includes mapping information between energy type and pre-registered facility points, indoor and outdoor environmental information, indoor and outdoor environmental information and mapping information between pre-registered facility points, scenario information to be used in case of emergency, and alarm information to be generated according to energy state rules. do.

At this time, the facility points of each facility can be modeled using a tool that can graphically express the connection relationship between each facility and each facility.

On the other hand, when a system operator or a business operator selects an icon for UI setting in S940, the platform-based energy management system operates a menu screen for setting a UI to be used in the platform-based energy management system according to the present invention. Alternatively, it is provided to the field operator, and the UI selected by the system operator or the field operator is registered as a UI to be used in the energy management system through the corresponding menu screen.

In one embodiment, when the UI is registered, the organization, users, and authority of each user in the energy management system are set, a menu screen used in the energy management system is registered, or a page of a page viewed by the customer through the energy management system Content composition can be registered, components of reports provided to customers, or bulletin boards can be registered.

In the initial construction of the energy management system, such UI registration is performed by a system operator or a business operator, but after system establishment, UI registration may be performed by a system user.

On the other hand, when a system operator or a business operator selects an icon for personalization setting in S940, the platform-based energy management system redefines various information used in the energy management system according to the personal preference of the user who uses the energy management system, or A menu screen for changing is provided, and a UI skin, a portlet, a language used, and a time zone are configured to configure an energy management system according to information input through the menu screen.

Subsequently, it is determined whether the system setting has been completed (S950), and when the system setting is completed, the energy management system is determined to be completed and the energy management task is performed (S960), and an unset area exists. By returning to S940, data of an unset region can be set. At this time, although it may return to S940, data of other areas may be set on the screen of the current state without returning to S940.

On the other hand, in FIG. 9, the basic data setting, business information setting, UI setting, and personalization setting process are shown to be performed in parallel, but in the modified embodiment, the basic data setting process is first performed and then the business information setting process is performed. In addition, a UI setting process or a personalization setting process may be performed after the task information setting process is performed.

As described above, in the case of the energy management system according to the present invention, since it is not an application type system that is provided in advance for each customer, it is provided in the form of a platform to the customer, and then the customer by the system setup procedure of the customer. It is built as a customized form of energy management system.

In other words, the existing general energy management system was provided by completing a separate system for each customer to accommodate the needs of the customer, but the platform-based energy management system according to the present invention is delivered to the customer until the customer completes the setup procedure. The energy management system is not defined, and when the customer completes the setup procedure, the energy management system is defined as a ratio.

On the other hand, when the platform-based energy management system according to the present invention performs energy management, the energy management system monitors energy use in the facility to analyze the current state of energy use in the facility, and based on the analyzed result. Energy use can be predicted at the facility to generate a solution for optimal energy use according to the predicted results. In addition, monitoring results, energy usage analysis results, and solutions for optimal energy use can be provided to system users using various charts or graphs.

Hereinafter, a method of managing energy of a facility such as a building or a factory using an energy management system constructed through the process illustrated in FIG. 9 will be described.

10 is a flowchart showing an energy management method according to an embodiment of the present invention. The energy management method illustrated in FIG. 10 may be performed by the platform-based energy management system illustrated in FIG. 1.

First, the platform-based energy management system collects measurement data from sensors arranged in the field and stores it by matching each facility (S1000). That is, the platform-based energy management system stores the raw data obtained from various sensors by matching the information of facilities matching the corresponding sensor.

Next, the platform-based energy management system refines the stored measurement data according to a predetermined refinement rule and selects and stores valid data (S1010). Purifying the measurement data, which is raw data, in the present invention includes all abnormally measured values in the measurement data collected from the sensors, and thus, when used as such, errors may occur during analysis and diagnosis. To select only valid data among measurement data.

Next, the platform-based energy management system processes the data stored in S1010 in a predetermined format (S1020).

In one embodiment, the platform-based energy management system may generate data stored in S1010 in a cube format composed of three axes of facility type, energy type, and time. Here, the equipment type refers to target equipment, and the energy type refers to an energy source type such as electricity, gas, or water. In addition, time means a time key for summing measurement data. For example, a platform-based energy management system uses measurement data as raw data, 5 minute summation data, 30 minute summation data, 1 hour summation data, and 1 day Measurement data is aggregated and stored in a certain time unit such as unit sum data, month sum data, quarter unit sum data, semi-annual sum data, and year sum data.

In the present invention, the reason why the platform-based energy management system processes data in a cube format is that multi-dimensional analysis is easy for various viewpoints (energy type viewpoint, time viewpoint, and facility type viewpoint), as well as measurement data for a predetermined time. This is because it is possible to derive a large amount of data in a short time because it is summed up in units.

As described above, when managing the measurement data in the form of a cube, when diagnosing energy use efficiency of target facilities, diagnosis and analysis of energy type changes according to changes in facilities, diagnosis and analysis of changes in facilities according to changes in time, and changes in time Multi-dimensional analysis, such as diagnosis and analysis of energy type changes, is possible.

Next, the platform-based energy management system generates a diagnostic model according to information input from the system operator (S1030), and extracts necessary data from cube-shaped data according to the generated diagnostic model to diagnose the efficiency of the target facility, , Generates a diagnosis result (S1040).

Here, the generation of a diagnostic model refers to a process of setting whether or not a target facility is to be diagnosed for a certain period of time and a criterion necessary for diagnosis. At this time, the determination criteria necessary for diagnosis include an upper and lower limit value, an efficiency characteristic curve of the target equipment, and a determination reference value.

Hereinafter, a method of diagnosing performance and efficiency of target facilities by a platform-based energy management system will be described as an example. In the following example, a method for diagnosing the performance and efficiency of a pump using a fluid will be described as an example.

First, the platform-based energy management system identifies a pump, which is a target facility to be diagnosed, and sets a target period for diagnosing the specified pump. Thereafter, the platform-based energy management system extracts measurement data of the flow rate during the target period and the target period from cube-shaped data related to the flow rate used in the specified fluid device. Further, the platform-based energy management system extracts measurement data for the target period and the discharge pressure of the fluid device during the target period from cube-shaped data related to the discharge pressure of the specified fluid device. In addition, the platform-based energy management system extracts the measurement data for the system pressure of the fluid device during the target period and the target period from the cube-shaped data related to the system pressure of the fluid device.

In addition, the platform-based energy management system extracts measurement data for the target period and the power consumption value of the fluid device during the target period from cube-shaped data related to power for driving the specified fluid device. This is to compare the value converted from the flow rate and pressure of the pump, which is a fluid device, into electric power and the electric power required for the actual operation of the pump.

Thereafter, the platform-based energy management system uses the flow rate as the X axis, the discharge pressure of the fluid device as the Y1 axis, the system pressure of the fluid device as the Y2 axis, and the flow-fluid device discharge pressure according to a predetermined mapping rule. It maps to the (X, Y1) coordinates and the system pressure of the flow-fluid device to the (X, Y2) coordinates.

In one embodiment, the platform-based energy management system performs a mapping between flow-fluid device discharge pressure and flow-fluid device system pressure. In different cases, a time key for synchronizing the measurement period is generated, and the ratio of the number of data generated by the sensor for measuring the flow rate to the data generated by the sensor for measuring the pressure is checked using this. Here, the time key means to determine whether to map the flow rate data by subdividing or grouping the pressure data.

For example, if the sensor for flow measurement performs measurement in 1 minute increments and the sensor for pressure measurement performs measurement in 10 second increments, the ratio of generated data is 1: 6, so all pressure data is 1 / It is distributed to 6 to be mapped.

On the other hand, when the timers held by each sensor are different from each other, the platform-based energy management system checks the timer value of each sensor in the field in advance to correct the time difference between each sensor. After reflecting on the measurement data, mapping is performed.

In one embodiment, in the process of mapping, when data measured by each sensor due to malfunction of each sensor or power trip is not collected every measurement period or abnormal measurement data is collected, platform-based energy To recover the missing measurement data, the management system may determine a value immediately before the omission occurs or an average of N (eg, N = 5) data immediately before the omission occurs.

The platform-based energy management system also maps the flow-fluid device discharge pressure to (X, Y1) coordinates and the flow-fluid device system pressure to (X, Y2) coordinates according to the mapping rules described above. You will get a graph as shown in 5.

In the graph shown in FIG. 5, the relationship of X-Y1 is classified by the characteristic curve of the pump, and the relationship of X-Y2 is classified by the characteristic curve of the pipeline of the pump. The solid line shown in FIG. 5 represents the ideal characteristic curve and the ideal pipe resistance characteristic curve of the pump, and the hatched square region in FIG. 5 represents the total amount of energy used. At this time, the ideal characteristic curve of the pump and the ideal pipeline resistance characteristic curve are provided by the manufacturer of the pump.

Subsequently, the platform-based energy management system obtains the theoretical efficiency values of the pump from the ideal characteristic curve of the pump and the ideal efficiency curve of the pump, and calculates the relationship of X-Y1 and X-Y2 by the section integral method, each time interval Calculate each measurement efficiency value. Thereafter, a section capable of improving efficiency is derived by comparing the theoretical and measured efficiency values in the section, and the size of the derived section is converted into power units. Subsequently, the platform-based energy management system quantifies the expected effect of improving the efficiency of the pump by multiplying the power rate by the value converted into power units. According to this example, as a result of diagnosis, the degree of efficiency of the pump, information on a section where the efficiency can be improved, and the expected effect of efficiency improvement may be included.

In the above-described example, only an example of diagnosing energy efficiency of target facilities using a fluid is illustrated, but the present invention is not limited thereto. Diagnosis of energy efficiency of lighting equipment and air conditioning equipment is not performed, or operation is performed in a standby mode without operation. If there are existing facilities, diagnose whether the standby mode of those facilities is normal, manage unit cost by time zone, energy type, calculate cost according to usage, calculate waste amount and quantify expected effects, or target equipment It can also perform the function of measuring the power consumption of electricity, analyzing the power usage pattern according to the production amount and facility operating conditions, and managing the rest and replacement schedule of target facilities.

Next, the platform-based energy management system derives the improvement in the target facility using the diagnostic result generated in S1040 (S1050), and provides the user with the diagnostic result generated in S1040 and the improvement derived in S1050. (S1060).

When the expected effect of improving the efficiency of the pump is diagnosed by the above-described example, the platform-based energy management system is expected to have effects such as installation of an inverter for variable speed operation of the pump, improvement of pulleys, and improvement of impeller wear. In order to implement, solutions that can be actually improved can be provided to users as improvements.

In the above description, it has been described that the platform-based energy management system is implemented as a physical system, but this is only one example. In the platform-based energy management system, each function is programmed and mounted on a server or computer, and the server or It can also be implemented through the execution of a program by a computer.

At this time, the program for implementing the platform-based energy management system is stored in a computer-readable recording medium such as a hard disk, CD-ROM, DVD, ROM, RAM, or flash memory.

Those skilled in the art to which the present invention pertains will understand that the above-described present invention can be implemented in other specific forms without changing its technical spirit or essential features.

Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of the present invention is indicated by the following claims rather than the above detailed description, and it should be interpreted that all changes or modifications derived from the meaning and scope of the claims and equivalent concepts are included in the scope of the present invention. do.

100: platform-based energy management system 110: system setting module
120: modeling module 125: data acquisition module
130: energy management module 140: monitoring module
150: optimization module 160: reporting module

Claims (14)

When the basic data to be used for the energy management system and the business information including the target facilities for energy management are set according to the inputted information, and the setup of the energy management system is completed, from the sensors matched with the target facilities A data acquisition module that collects measurement data and processes the collected measurement data in a cube format composed of three axes of facility type, energy type, and time to analyze the collected measurement data in multiple dimensions; And
Among the target facilities, a diagnostic model including a target facility to be diagnosed and a target period to be diagnosed is generated, and a value corresponding to the diagnostic model is extracted from cube-format data processed by the data acquisition module. And a energy management module for diagnosing energy efficiency of the target facility and generating a diagnosis result. According to claim 1,
The data acquisition module,
A data collection unit that collects measurement data from the sensors and matches and stores the collected measurement data with the target facilities;
A data refining unit that refines the measurement data stored by the data collection unit according to a predefined refinement rule to select valid data; And
And a data processing unit for generating the data refined by the data purification unit into the cube-format data composed of three types of equipment type, energy type, and time. According to claim 2,
The data processing unit,
A platform-based energy management system characterized in that data values of the data refined by the data refining unit are aggregated in a predetermined time unit and mapped and stored with a time axis. According to claim 1,
The energy management module,
A first diagnostic module for diagnosing energy efficiency of the target facility according to a flow rate and pressure measured at the target facility and a pipe resistance characteristic derived from the measured flow rate and pressure when the target facility is a target facility using a fluid;
A second diagnostic module for diagnosing energy efficiency of the target equipment when the target equipment is a lighting equipment and an air conditioning equipment;
A third diagnostic module for diagnosing whether the standby mode of the target facilities that are not operating and operating in the standby mode is normal;
A fourth diagnostic module for quantifying and calculating the energy cost for each time zone, the cost for each energy type, the cost according to the energy consumption, and the amount of wasted energy; And
A platform-based energy management system comprising at least one of a fifth diagnostic module that manages power usage of the target facility, power usage pattern analysis according to facility operating conditions, and idle and replacement schedule of the target facility. According to claim 4,
The first diagnostic module,
The measurement data of the target period and the flow rate during the target period are extracted from the data in cube format related to the flow rate of the target equipment, and discharged during the target period and the target period from the data in cube format related to the discharge pressure of the target equipment The measurement data for pressure is extracted, and the measurement data for the system pressure during the target period and the target period is extracted from the cube format data related to the system pressure of the target facility,
Characterized in that, by mapping the extracted flow rate and discharge pressure according to a predetermined mapping rule to calculate a characteristic curve of the target facility, and mapping the extracted flow rate and system pressure to calculate a pipeline resistance characteristic curve of the target facility. Platform-based energy management system. The method of claim 5,
The first diagnostic module,
The characteristic curve of the target facility and the pipeline resistance characteristic curve of the target facility are integrally calculated to calculate the measurement efficiency value of the target facility for each time interval, and the efficiency is compared by comparing the theoretical efficiency value and the measurement efficiency value in each time interval. A platform-based energy management system that derives a section that can be improved and converts the size of the derived section into power units to generate the diagnosis result. According to claim 1,
It includes at least one of a standard term to be used in the energy management system, a standard code, a standard attribute, a general criterion, a unit conversion, and a pattern code. Setting up the energy management system by setting business information including at least one of the basic data to be performed, the facility to be managed for energy, the type of energy to be monitored, the target area for which energy management is required, and the environmental elements to be monitored. A platform-based energy management system further comprising a system setting unit. According to claim 1,
A platform-based energy management system, further comprising a modeling module for modeling the target facility, the connection relationship between the target facilities, and the facility points of the target facilities. In the energy management method performed by the platform-based energy management system,
Setting up the energy management system by setting business information including basic data to be used in the energy management system and target facilities for energy management according to inputted information;
Processing in a cube format composed of three types of facility type, energy type, and time to analyze measurement data collected from sensors matched with the target facilities in a multidimensional manner;
Extracting a value corresponding to a diagnosis model including a target facility to be diagnosed from among the target facilities and a target period to be diagnosed from the data in the cube format; And
And diagnosing energy efficiency of the target facility using the extracted value to generate a diagnosis result. The method of claim 9,
The processing step,
Collecting measurement data from the sensors and matching and storing the target facilities;
Refining the stored measurement data according to a predefined refinement rule to select valid data; And
And generating the selected data as data in the cube format consisting of three types of equipment type, energy type, and time. The method of claim 10,
The step of generating the data in the cube format,
Energy management method characterized in that the data value of the selected data is summed in a certain time unit and mapped and stored with a time axis. The method of claim 9,
Generating the diagnostic results,
The measurement data of the target period and the flow rate during the target period are extracted from the data in cube format related to the flow rate of the target equipment, and discharged during the target period and the target period from the data in cube format related to the discharge pressure of the target equipment Extracting measurement data for pressure, and extracting measurement data for system pressure during the target period and the target period from cube-format data related to the system pressure of the target facility;
Deriving a characteristic curve of the target facility by mapping the extracted flow rate and discharge pressure according to a predetermined mapping rule, and calculating a pipeline resistance characteristic curve of the target facility by mapping the extracted flow rate and system pressure;
Calculating a measurement efficiency value of the target facility for each time section by section-integrating the characteristic curve of the target facility and the pipeline resistance characteristic curve of the target facility; And
And comparing the theoretical efficiency value and the measurement efficiency value in each time period and converting the size of a section capable of improving efficiency into power units to generate the diagnosis result. The method of claim 9,
The basic data are among standard terms, standard codes, standard attributes, general criterion, unit conversion, and pattern codes to be used in the energy management system. Energy management, comprising at least one, wherein the business information further includes at least one of a facility targeted for energy management, an energy type targeted for monitoring, a target area requiring energy management, and an environmental element to be monitored. Way. A computer-readable recording medium on which a program for performing the energy management method according to any one of claims 9 to 13 is recorded.

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