KR101655247B1

KR101655247B1 - Energy analysis system using BEMS data

Info

Publication number: KR101655247B1
Application number: KR1020150057889A
Authority: KR
Inventors: 박재성
Original assignee: (주)우리젠
Priority date: 2015-04-24
Filing date: 2015-04-24
Publication date: 2016-09-07

Abstract

The present invention relates to an energy analysis system and method using BEMS (Building Energy Management System) data. The system includes a plurality of error detection rulesets for receiving data from a BEMS database at regular intervals and inputting the data, Generates an alarm signal in accordance with the rules of the ruleset, notifies the alarm signal to the manager, and stores the generation history of the alarm signal. The energy analysis system and method using the BEMS data can automatically analyze the waste energy factor in the building and quickly reflect it, thereby increasing the energy saving efficiency of the building.

Description

[0001] The present invention relates to an energy analysis system using BEMS data,

The present invention relates to a system and method for managing energy of a building or a building, and more particularly, to a system and method for automatically analyzing and managing energy consumption of a building or a building using a BEMS (Building Energy Management System).

In recent years, energy management in buildings and buildings has become an important issue, and many studies have been carried out for intelligent energy management that can reduce energy consumption.

Building energy management system (BEMS) is a building energy management system that efficiently controls air conditioning, air conditioning, lighting, and power facilities to reduce unnecessary energy waste. There is also a lot of research on efficient operation of building resources.

According to Korean Patent Registration No. 10-1151480 (Patent Document 1), as an example of a system for reducing energy using BEMS, a simulation model that provides guidelines for building operation decision based on a virtual building simulation model simulation-assisted model, and propose a system and method for optimizing energy demand management and energy performance by developing an optimal control algorithm applicable to BEMS in a real building.

As another example, Korean Patent Registration No. 10-0979409 (Patent Document 2) collects a plurality of pieces of facility information installed in a building from a building automation system (BAS), that is, collects the operation state, measurement, It is proposed to construct a performance evaluation method for energy saving that enables the administrator to easily grasp and collect the collected information and provide the performance evaluation information to the facilities of the building.

However, the above-described conventional systems or methods do not perform energy management adaptively according to the situation, and there is a great difficulty in quickly analyzing and coping with energy wastes when they occur.

Therefore, there is a need to develop a new energy analysis system or method that can more effectively utilize BEMS data and more effectively reduce energy waste of a building.

Korean Patent Registration No. 10-1151480 Korean Patent Registration No. 10-0979409

An object of the present invention is to provide a building energy management system and method that can automatically detect and analyze energy waste in a building using BEMS data, And to provide a system and method for increasing efficiency.

According to an aspect of the present invention, there is provided an energy analysis system using BEMS (Building Energy Management System) data according to the present invention, which receives data through a network from a plurality of direct controllers (DDC) A BEMS database to store; A main server for reading data from the BEMS database at regular intervals to set a plurality of error detection rulesets for receiving the data as inputs and generating an alarm signal according to a rule of the error detection ruleset; A user interface for connecting the main server and the manager to notify the manager of an alarm signal; And a main database for storing various data generated by the main server and a history of generation of an alarm signal.

The main server analyzes the history of the alarm signal stored in the main database and provides the analyzed information to the administrator through the user interface.

Meanwhile, an energy analysis method using BEMS data according to the present invention includes: receiving data from a BEMS database at regular intervals; Setting a plurality of error detection rule sets to which the data is input; Generating an alarm signal according to the rule of the error detection rule set; Notifying the alarm signal to the manager; And storing the generation history of the alarm signal.

The method may further include analyzing and providing a history of the generated alarm signal so as to determine an energy waste element.

According to the energy analysis system and method of the present invention, the following effects can be expected.

First, BEMS data can be used to detect and analyze errors of buildings or buildings automatically, and it is possible to analyze the energy consumption of buildings in real time and quickly establish measures to reduce them.

Second, by providing the error history in a graph or the like, it is possible to easily identify and cope with the waste energy factor of the building.

Third, by using an error detection rule set, it is possible to accurately and easily set fault items and alarm signals.

Fourth, since the diagnostic method is provided at the same time as the alarm for the error, the administrator can easily manage the facility.

1 is a block diagram schematically illustrating a conventional BEMS system;
2 is a block diagram schematically illustrating an energy analysis system according to an embodiment of the present invention.
3 is a screen showing an example of creating an error detection rule set in the energy analysis system according to the embodiment of the present invention.
4 is a diagram illustrating an example of an alarm signal displayed through a user interface in an energy analysis system according to an embodiment of the present invention.
5 is a block diagram showing the configuration of a logic builder in an energy analysis system according to an embodiment of the present invention.
6 is a flow chart schematically illustrating a method for creating rule sets in an energy analysis system according to an embodiment of the present invention;
7 is a view schematically showing an example in which a logic builder creates rule sets in an energy analysis system according to an embodiment of the present invention;
8 is a flow chart schematically illustrating an energy analysis method according to an embodiment of the present invention.

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

In general, BEMS (Building Energy Management System) communicates with a direct controller (DDC) that controls various facilities to be managed such as heating, ventilation, and air conditioning (HVAC) And monitors or controls the management subject facility. Such a conventional BEMS is shown in schematic block diagram in Fig. In Figure 1, the direct controller (DDC) is connected to the BEMS via a TCP / IP network.

The present invention is a method and system for automatically analyzing energy using data collected by the BEMS shown in FIG. 1, wherein the analysis system is shown in schematic block diagram in FIG.

2, the energy analysis system using BEMS data includes a BEMS database 110, a main server 120, a user interface 130, and a main database 140.

In the BEMS database 110, as shown in Fig. 1, data input from a plurality of direct controllers (DDC) related to the management subject facility is stored as BEMS data.

The main server 120 reads data from the BEMS database 110 at regular intervals. Normally, since BEMS updates data every 15 minutes, main server 120 reads BEMS data every 15 minutes. These BEMS data are the data detected or measured at the control point or the weighing point of the managed facility.

Based on the input BEMS data, the main server 120 sets a fault detection (FDD) ruleset. The error detection ruleset is created as a function block of the logic function, and is a set of a number of rules that detect errors in the managed equipment. Fig. 3 shows the construction example.

As shown in Fig. 3, in the error detection rule set, the control point and the metering point of the management subject facility are used as input and output, and an alarm signal is generated in accordance with the output result of the rule. A plurality of alarm signals may be generated for each facility to be managed and each inherent code may be assigned. In Fig. 3, as an example, an alarm information list of the air conditioner 13 is shown together with an alarm code.

The user interface 130 is a device for connecting the main server 120 and the server manager. The administrator inputs various commands to the main server 120 through the user interface 130 and receives various information from the main server 120 do. That is, the error detection rule set can be set in the main server 120 through the user interface 130, and the generated alarm signal can be notified from the main server 120.

When an alarm signal is generated through the error detection rule set, the alarm signal is notified to the administrator through the user interface 130. An example in which an alarm signal is displayed on the user interface 130 is shown in Fig.

As shown in FIG. 4, the number of times that a plurality of alarm signals are generated in each of the managed facilities (for example, AHU, OAU, etc.) is displayed and simultaneously the diagnostic items related to each of the alarm signals are displayed together with the alarm signal . In this manner, the administrator can immediately confirm the diagnosis item, so that the manager can more easily cope with the alarm signal.

The generation history of various alarm signals generated through the error detection rule set of the main server 120 is stored in the main database 140. In some cases, when only the BEMS database 110 is used as a storage device of the system, the above-described alarm signal generation history may be stored together in the BEMS database 110. [

The main server 120 may analyze the history of the alarm signal stored in the main database 140 and may further provide the alarm to the administrator through the user interface 130. That is, the frequency of occurrence of various alarm signals generated by the error detection rule set is analyzed and provided in the form of a graph or the like, so that the administrator can determine which portion of the facility to be managed contains energy waste factors and cope with it .

Meanwhile, the main server 120 may use a logic builder to set the error detection rule set. An example of such a logic builder is shown in FIG.

A logic builder is a kind of function block editor that creates control logic using logic functions and various algorithm function blocks. That is, when the logic function of the rule set to be created is determined, a rule set is formed by the block for the editor.

5, the logic builder may include a diagnostic item setting unit 210, a fault item setting unit 220, a function function creating unit 230, and a rule set editing unit 240.

The diagnosis item setting unit 210 sets a number of diagnostic items for monitoring and diagnosing the management subject facility in advance, and the failure item setting unit 220 sets a failure item of the management subject facility according to the diagnosis item. An alarm signal is generated for each of these fault items.

The functional function creation unit 230 creates a functional function for inputting a monitoring point or a measuring point of the facility to be managed and outputting an alarm signal for a fault item set by the fault setting unit 220. [ That is, as shown in Fig. 5, a logic function expressed by an equation is created.

The function functions created by the function function creating unit 230 are edited into function blocks by the rule set editing unit 240. [ The rule set editing unit 240 edits a function function into a function block using various function blocks and signal lines corresponding to the function functions.

Hereinafter, a method of forming a rule set with the logic builder configured as described above will be described with reference to the flowchart of FIG.

First, a diagnostic item for diagnosing the management subject facility is set (step 110).

Next, a fault item of the management subject facility is set according to the diagnosis item (step 120). These fault items can set a number of items for each facility to be managed.

Next, the function point and the weighing point of the facility to be managed are inputted, and an alarm signal for the fault item is output to create a function function expressed by a formula (step 130).

Next, the function function created in step 130 is edited into a function block using a rule editor that creates the control logic using the function block (step 140).

Next, a diagnosis item corresponding to the alarm signal is displayed together with the alarm signal (step 150).

By using the above-described logic builder and ruleset formation method, it is possible to intuitively and easily create the error detection ruleset. FIG. 7 shows a screen in which an error detection rule set is created by a logic builder according to an embodiment of the present invention. In the management system, when an alarm signal is generated according to rules of rules set by the ruleset editing unit 240, the diagnostic items set by the diagnostic item setting unit 210 can be immediately provided at the same time of the notification of the alarm signal.

Next, an energy analysis method using BEMS data according to an embodiment of the present invention will be described. FIG. 8 is a flow chart schematically illustrating an energy analysis method according to an embodiment of the present invention.

First, data is input at regular intervals from the BEMS database shown in FIG. 2 (step 210). Since BEMS updates data every 15 minutes, it reads BEMS data every 15 minutes.

Next, the data read from the BEMS database is input, and a rule set, which is a set of a plurality of error detection rules, is set (step 220). These error detection rulesets can be written as functional blocks of logic functions. The data input to the error detection ruleset is the data that is detected or measured at the control point or the weighing point of the managed facility.

Next, an alarm signal is generated in accordance with the rule of the error detection rule set (step 230). At this time, a plurality of alarm signals may be generated for each facility to be managed and each inherent code may be allocated.

Next, the alarm signal is notified to the manager (step 240). The alarm signal is notified through a display device such as a user interface. In addition, diagnostic items related to the alarm signal can be displayed simultaneously with each alarm signal.

Next, the generation history of the alarm signal is stored (step 250). The generation history of the alarm signal is stored in the BEMS database 100 or in a separate dedicated database.

Next, the generated history of the stored alarm signal is analyzed and provided (step 260). The history of the generation of the alarm signal can be displayed in the form of a graph or the like so that the administrator can determine the energy waste factor.

The energy analysis system and method according to the present invention can be applied optimally for energy management in a building or a building. However, the energy analysis system and method can be suitably applied to various fields for monitoring and analyzing energy waste factors.

While the present invention has been described with reference to the preferred embodiments described above and the accompanying drawings, it is to be understood that the invention may be embodied in different forms without departing from the spirit or scope of the invention. Accordingly, the scope of the present invention is defined by the appended claims, and is not to be construed as limited to the specific embodiments described herein.

110: BEMS database
120: main server
130: User interface
140: main database
210: Diagnosis item setting section
220: Fault item setting section
230: function function creation unit
240: Ruleset editor

Claims

As an energy analysis system using BEMS (Building Energy Management System) data,
A BEMS database for receiving data via a network from a plurality of direct controllers (DDC) associated with the managed facility and storing the data as BEMS data;
A main server for reading data from the BEMS database at regular intervals to set a plurality of error detection rulesets for receiving the data as inputs and generating an alarm signal according to a rule of the error detection ruleset;
A user interface for connecting the main server and the manager to notify the manager of an alarm signal; And
And a main database for storing various data generated by the main server and a history of generation of an alarm signal,
Wherein the main server uses a logic builder to set the error detection rule set, the logic builder includes a diagnostic item setting unit for setting a plurality of diagnostic items for monitoring and diagnosing the managed facility in advance, A failure item setting unit for setting a failure item of the management subject facility in accordance with the diagnosis item, and an alarm signal for a failure item set by the failure item setting unit, And a rule set editing unit for editing the function function into function blocks by using various function blocks corresponding to the function functions created by the function function creating unit and signal lines,
Wherein the main server analyzes an occurrence history including a frequency of occurrence of alarm signals for each management subject stored in the main database and provides the result to an administrator through the user interface,
Wherein the main server simultaneously displays the alarm signal and the diagnostic item related to the alarm signal on the user interface.

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