KR20240043228A - method for Providing an optimal operating combination of an cooling system and a CLOUD SERVER DEVICE supporting the same - Google Patents

Abstract

The server processor of the server device according to an embodiment of the present invention forms a communication channel with an automatic control system that controls the cooling system, calculates a preliminary alternating operation combination data set using operation combination data stored in the server memory, and calculates the automatic operation combination data set. Calculate a predicted data set that predicts the cooling load of the cooling system based on the current operating conditions of the cooling system received from the control system, and compare the preliminary alternating operation combination data set with the predicted data set to determine specified conditions. It may be set to calculate satisfactory alternating operation combination information and transmit the alternating operation combination information to a user terminal related to operation of the cooling system.

Description

{method for Providing an optimal operating combination of an cooling system and a CLOUD SERVER DEVICE supporting the same}

The present invention relates to cooling system operation, and more specifically, to a method for predicting cooling load using operation data of a data center's long-term cooling system and proposing optimal cooling system operation efficiency accordingly.

Recently, data centers need to use more energy to cool servers due to the use of cloud servers and increased heat density, so saving energy required to operate cooling systems has become an important issue. Since data centers require cooling operation 24 hours a day throughout the year, the cooling system is composed of multiple chillers, including backups, and alternate operation is performed in which the chillers are operated alternately. The number of refrigerators operating in alternating operation is variably adjusted depending on the cooling load and outdoor air conditions, and the type of alternating operation is mostly determined by system stability and operator experience. Accordingly, an efficient operation plan for appropriate energy savings in alternating operation is needed.

However, when operating a data center for a long period of time, it is not only difficult to maintain the operating efficiency of the cooling system consistently due to various factors such as reduced facility efficiency due to aging facilities, replacement of refrigerators, and changes in operators, but also the various factors mentioned above are taken into consideration by the operator. It is difficult to identify and review.

Therefore, the present invention provides a method of providing an operation combination of a cooling system that can collect and store long-term operation data of a data center and use this to predict the cooling load of the data center and provide an alternating operation combination that can minimize energy consumption; A server device that supports this is provided.

However, the object of the present invention is not limited to the above object, and other objects not mentioned may be clearly understood from the description below.

A method of providing an operation combination of a cooling system to achieve the above-described object includes forming a communication channel with an automatic control system that manages, by a server device, a cooling system including a plurality of refrigerators, the server device, A preliminary alternating operation combination data set is calculated from the operation combination data of alternating operation of the plurality of refrigerators received from the automatic control system, and the cooling system is operated based on the current operating conditions of the cooling system received from the automatic control system. Calculating a predicted data set predicting the cooling load, the server device comparing the preliminary alternating operation combination data set and the predicted data set to calculate alternating operation combination information that satisfies specified conditions, the server The device may include transmitting the alternating operation combination information to a user terminal related to operation of the cooling system.

Specifically, the step of calculating the predicted data set is to obtain state values for each refrigerator, cold water supply temperature, cold water return temperature, cold water rated flow rate, cooling water supply temperature, cooling water return temperature, coolant rated flow rate, and refrigerator power consumption from the automatic control system. , It may include receiving operation-related data including at least one of chilled water pump power consumption, cooling water pump power consumption, cooling tower power consumption, chilled water pump inverter output, cooling water pump inverter output, outside air temperature, and outside air humidity.

Specifically, calculating the predicted data set includes receiving the operation-related data from the automatic control system on a 15-minute basis per day, and generating analysis models for the operation-related data received on a 15-minute basis per day. It may include the step of outputting a weighted average value of the generated analysis models as cooling load prediction data.

Specifically, the method may further include excluding trial run data or data resulting from refrigerator replacement from the preliminary alternating operation combination data set.

Specifically, in the step of calculating the alternating operation combination information, the cooling load pattern of the predicted data set and the outdoor temperature and wet bulb temperature conditions are similar to values within a specified ratio in the preliminary alternating operation combination data based on the nearest neighbor search method. It may include a step of detecting and calculating the alternating operation combination information indicating the minimum power consumption from the detected preliminary alternating operation combination data.

Specifically, the step of transmitting to the user terminal determines the status of a plurality of refrigerators included in the cooling system, at least one cold water pump, a cooling water pump, and a cooling tower connected to the plurality of refrigerators based on the alternating operation combination information, and It may include configuring a screen including output and transmitting the screen to the user terminal through at least one of web and mobile methods.

A server device that provides an operation combination of an air conditioning system according to an embodiment of the present invention includes a server communication circuit that forms a communication channel with an automatic control system that manages an air conditioning system including a plurality of refrigerators, and the information received from the automatic control system. It may include a server memory that stores operation combination data for alternately operating a plurality of refrigerators, and a server processor functionally connected to the server communication circuit and the server memory. A server processor according to an embodiment forms a communication channel with the automatic control system, calculates a preliminary alternating operation combination data set using operation combination data stored in the server memory, and performs the cooling and cooling operation received from the automatic control system. Calculate a predicted data set that predicts the cooling load of the cooling system based on the current operating conditions of the system, and compare the preliminary alternating operation combination data set with the predicted data set to provide alternating operation combination information that satisfies specified conditions. It may be set to calculate and transmit the alternating operation combination information to a user terminal related to operation of the cooling system.

Specifically, the server processor receives status values for each refrigerator from the automatic control system, cold water supply temperature, cold water return temperature, cold water rated flow rate, cooling water supply temperature, cooling water return temperature, coolant rated flow rate, refrigerator power consumption, and cold water pump consumption. It is characterized in that it is set to receive data including at least one of power, cooling water pump power consumption, cooling tower power consumption, chilled water pump inverter output, cooling water pump inverter output, outside air temperature, and outside air humidity.

Specifically, the server processor receives the data from the automatic control system in units of 15 minutes per day, generates analysis models for the data received in units of 15 minutes per day, and then executes the generated analysis models. It is characterized in that it is set to output the weighted average value as cooling load prediction data.

Specifically, the server processor is set to exclude trial run data or data due to refrigerator replacement from the preliminary alternating operation combination data set.

Specifically, in relation to calculating the alternating operation combination information, the server processor calculates the cooling load pattern of the predicted data set, and the outdoor temperature and wet bulb temperature conditions are similar to the values within a specified ratio based on the nearest neighbor search method. It is characterized in that it is set to detect from preliminary alternating operation combination data and calculate the alternating operation combination information indicating the minimum power consumption from the detected preliminary alternating operation combination data.

Specifically, in relation to the operation of transmitting the alternating operation combination information to the user terminal, the server processor selects a plurality of refrigerators included in the cooling system based on the alternating operation combination information, and at least one connected to the plurality of refrigerators. A screen is configured to include the status and output of one cold water pump, a cooling water pump, and a cooling tower, and the screen is set to be transmitted to the user terminal through at least one of web and mobile methods.

According to the present invention, the present invention determines the performance factors that affect the cooling system through long-term operation data analysis, and generates an operation combination of load prediction and alternating operation considering the influence of the performance factors, thereby improving the operational efficiency of the data center. can be optimized.

In addition, the present invention enables the cooling load to be predicted and confirmed in advance, and an alternating control strategy of the refrigerators is established according to the power rate that varies by time or season, thereby optimizing the efficiency of the cooling system and reducing operating costs accordingly. .

In addition, various effects other than the effects described above may be disclosed directly or implicitly in the detailed description according to embodiments of the present invention, which will be described later.

1 is a diagram showing an example of an air conditioning system operating environment according to an embodiment of the present invention.
Figure 2 is a diagram showing an example of a cooling system configuration according to an embodiment of the present invention.
Figure 3 is a diagram showing an example of a device configuration of a cloud server according to an embodiment of the present invention.
Figure 4 is a diagram showing an example of a user terminal configuration according to an embodiment of the present invention.
Figure 5 is a diagram showing an example of a method of operating a cloud server device according to an embodiment of the present invention.
Figure 6 is a diagram showing an example of an XGB model for predicting cooling demand for a data center according to an embodiment of the present invention.
Figure 7 is a diagram showing an example of alternating operation combination information of a data center according to an embodiment of the present invention.
Figure 8 is a diagram illustrating an example of calculating the distance between a prediction data set and a preliminary alternating operation combination data set according to an embodiment of the present invention.
Figure 9 is a diagram illustrating an example of a screen interface provided to a user terminal in relation to operation of a cooling system according to an embodiment of the present invention.
Figure 10 is a diagram showing an example of a screen interface related to cooling load prediction and optimal operation combination recommendation during cooling system operation according to an embodiment of the present invention.
11 is a diagram illustrating an example of a screen interface related to the air conditioner load rate in relation to the operation of the cooling system according to an embodiment of the present invention.
12 is a diagram illustrating an example of a screen interface providing information about indoor temperature in relation to operation of an air conditioning system according to an embodiment of the present invention.
FIG. 13 is a diagram illustrating an example of a screen interface where power usage information is provided in relation to operation of a cooling system according to an embodiment of the present invention.

In order to make the characteristics and advantages of the problem-solving means of the present invention clearer, the present invention will be described in more detail with reference to specific embodiments of the present invention shown in the attached drawings.

However, detailed descriptions of known functions or configurations that may obscure the gist of the present invention are omitted in the following description and attached drawings. Additionally, it should be noted that the same components throughout the drawings are indicated by the same reference numerals whenever possible.

Terms or words used in the following description and drawings should not be construed as limited to their usual or dictionary meanings, and the inventor may appropriately define the concept of the term to explain his or her invention in the best way. It must be interpreted with meaning and concept consistent with the technical idea of the present invention based on the principle that it is. Therefore, the embodiments described in this specification and the configuration shown in the drawings are only one of the most preferred embodiments of the present invention, and do not represent the entire technical idea of the present invention, so at the time of filing the present application, various alternatives may be used to replace them. It should be understood that equivalents and variations may exist.

In addition, terms containing ordinal numbers, such as first, second, etc., are used to describe various components, and are used only for the purpose of distinguishing one component from other components and to limit the components. Not used. For example, the second component may be referred to as the first component without departing from the scope of the present invention, and similarly, the first component may also be referred to as the second component.

Additionally, the terms used in this specification are only used to describe specific embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In addition, terms such as "comprise" or "have" used in the specification are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more of the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification. It should be understood that this does not exclude in advance the presence or addition of other features, numbers, steps, operations, components, parts, or combinations thereof.

Additionally, terms such as “unit,” “unit,” and “module” used in the specification refer to a unit that processes at least one function or operation, and may be implemented as hardware, software, or a combination of hardware and software. In addition, the terms "a or an", "one", "the", and similar related terms are used in the context of describing the invention (particularly in the context of the claims below) as used herein. It may be used in both singular and plural terms, unless indicated otherwise or clearly contradicted by context.

In addition to the terms described above, specific terms used in the following description are provided to aid understanding of the present invention, and the use of these specific terms may be changed to other forms without departing from the technical spirit of the present invention.

Additionally, embodiments within the scope of the present invention include computer-readable media having or transmitting computer-executable instructions or data structures stored on the computer-readable media. Such computer-readable media may be any available media that can be accessed by a general-purpose or special-purpose computer system. By way of example, such computer-readable media may include RAM, ROM, EPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage, or in the form of computer-executable instructions, computer-readable instructions or data structures. It may be used to store or transmit certain program code means, and may include, but is not limited to, a physical storage medium such as any other medium that can be accessed by a general purpose or special purpose computer system. .

The present invention extracts various alternating operation data of a plurality of refrigerators through BEMS (Building Energy Management System) operation data of a data center where multiple refrigerators are installed, predicts the cooling load, and finds the record of the most efficient operation among past records. By providing it to the operator, it provides a way to increase operational efficiency in the cooling system operation process.

Hereinafter, the types and roles of each component included in the system environment that can provide information on the optimized alternating operation combination of refrigerators included in the cooling system of the present invention will be described.

1 is a diagram showing an example of an air conditioning system operating environment according to an embodiment of the present invention.

Referring to FIG. 1, the cooling system operating environment 10 according to an embodiment of the present invention includes at least one user terminal 100 (or electronic device, customer terminal), a network 51 (or a mobile communication network, an Internet network) , wired cable), a cloud server 200, and an air conditioning system 300 (or a facility with an air conditioning system installed).

The cooling system 300 may be deployed in a facility that continuously generates heat, such as a data center, or a facility that requires continuous cooling management, and may include a system that manages the facility's temperature to be below a preset temperature. This cooling system 300 includes a plurality of refrigerators (or air conditioners) for continuous temperature management, and the plurality of refrigerators may be operated alternately. The cooling system 300 can collect information related to the operation of refrigerators for alternate operation and management of the refrigerators, and transmit the collected information to the cloud server 200 through the network 51.

The network 51 may support the formation of communication channels between the cooling system 300 and the cloud server 200 and between the user terminal 100 and the cloud server 200. In this regard, the network 51 may comprise at least one communication network element. For example, the network 51 includes various cables supporting wired communication channels, a base station supporting wireless communication channels, a wireless access point, an address allocation device for identifying each device, a router for transmitting and receiving data, and mobile edge computing (MEC). ), etc. may be included. As an example, the network 51 may include a cable that connects the cooling system 300 and the cloud server 200 by wire or wireless communication elements that connect wirelessly. Additionally, the network 51 may include a wireless communication network (or wireless mobile communication network) that wirelessly connects the user terminal 100 and the cloud server 200. This network 51 includes at least some of various communication elements that can form a channel for communication between the cooling system 300 and the cloud server 200 or between the user terminal 100 and the cloud server 200. However, it is not limited to the type, form, or method. As an example, the network 51 may transmit cooling-related information collected by the cooling system 300 to the cloud server 200 and transmit information processed by the cloud server 200 to the user terminal 100.

The cloud server 200 may form a communication channel with the cooling system 300 through the network 51 and receive cooling-related information collected by the cooling system 300. The cloud server 200 may accumulate and store received cooling-related information and provide at least some of the received cooling-related information to the user terminal 100. In this operation, the cloud server 200 may generate statistical information by combining previously stored cooling-related information and currently received cooling-related information, and provide the generated statistical information to the user terminal 100. In addition, the cloud server 200 comprehensively analyzes the currently received cooling-related information and previously stored cooling system operation information to create alternating operation combination information that optimally operates the refrigerators in the current cooling-related information situation, and the created alternating operation combination. Information may be provided to the user terminal 100. For example, the cloud server 200 may operate the Kubernetes service platform to collect the above-described information and create and transmit combat operation combination information. Additionally, the cloud server 200 may include a gateway device to provide information related to the operation of the cooling system 300 to the user terminal 100.

The user terminal 100 can access the cloud server 200 through the network 51, receive and output various information provided by the cloud server 200. As an example, the user terminal 100 is provided as a portable communication device and can access the cloud server 200 through a base station. The user terminal 100 can receive and install an application program related to cooling system operation provided by the cloud server 200. Alternatively, the user terminal 100 may access the cloud server 200 using a web browser, receive and output the cooling system operation page provided by the cloud server 200 through the web browser. The user terminal 100 may generate a selection signal for selecting one of the alternating operation combination information provided on the cooling system operation page in response to the user operation, and transmit the generated selection signal to the cloud server 200.

As described above, the cooling system operating environment 10 according to an embodiment of the present invention provides cooling based on optimal alternating operation combination information for managing cooling of facilities that continuously require heat management or cooling management, such as a data center. Provides support to operate the system. Accordingly, the cooling system operation environment 10 of the present invention is more stable than the cooling system operation based on the existing operator's experience or spontaneous thinking, and supports the operation of the cooling system based on an optimal energy operation plan. .

Figure 2 is a diagram showing an example of a cooling system configuration according to an embodiment of the present invention.

Referring to Figure 2, the cooling system 300 according to an embodiment of the present invention includes a plurality of refrigerators 321, a cold water pump 322, a cooling tower 323, a cooling water pump 324, a flow meter 325, and a power meter ( 326) and an external thermohygrometer 327, an automatic control system 350, and a facility communication circuit 310.

The plurality of refrigerators 321 can support a cooling function in facilities where the cooling system 300 supports cooling. The plurality of refrigerators 321 of the present invention are not limited to their types or sizes. For example, the plurality of refrigerators 321 may include one type or various types of refrigerators, such as a vapor compression type refrigerator or an absorption type refrigerator. The plurality of refrigerators 321 include, for example, a compressor that compresses the refrigerant vapor evaporated from the evaporator, a condenser that condenses the high-temperature and high-pressure gas refrigerant from the compressor by cooling it with water or air, and an appropriate amount of liquid refrigerant to the low-pressure evaporator. It may include an expansion valve that converts high-pressure refrigerant into low-temperature and low-pressure wet vapor, and an evaporator that evaporates the heat of the refrigerant to lower the surrounding water or temperature. Each of the plurality of refrigerators 321 can be started according to a signal transmitted from the automatic control system 350, and information regarding startup can be provided to the automatic control system 350.

The cold water pump 322 can supply cold water to cool the facility. For example, the cold water pump 322 may receive cold water from the cooling tower 323 and deliver the received cold water to the refrigerator 321. The cold water pump 322 may circulate cold water according to a control signal transmitted from the automatic control system 350 and provide information regarding pump operation to the automatic control system 350.

The cooling tower 323 is a device that cools hot water by bringing it into direct contact with water using a large amount of air existing around it. It is a device that cools hot water by heat transfer using the temperature difference between water and air, and latent heat by mass transfer that evaporates water. action can be used. The cooling system 300 of the present invention is not limited to the type or size of the cooling tower 323. For example, the cooling tower 323 may be at least one type among a natural ventilation cooling tower, a counter flow cooling tower, and a cross flow cooling tower. The cooling tower 323 is operated according to control signals from the automatic control system 350 and can provide information on operation results to the automatic control system 350.

The coolant pump 324 may perform a pumping operation to circulate cooled coolant under the control of the automatic control system 350. Result information according to the operation of the coolant pump 324 may be transmitted to the automatic control system 350.

The flow meter 325 is a device that measures the flow rate of gas or liquid, and can be installed in at least one pipe connected to the refrigerator 321 to measure the flow rate of flowing cold water or cooling water. The flow meter 325 can provide measured flow rate information to the automatic control system 350.

The power meter 326 can detect the amount of power consumed by each component of the cooling system 300 and provide the detected power amount information to the automatic control system 350. For example, the power meter 326 detects power amount information according to the operation of the refrigerator 321, chilled water pump 322, cooling tower 323, and cooling water pump 324, and provides the detected power amount information to the automatic control system 350. can do.

The external temperature and humidity meter 327 can detect external temperature and humidity information of the cooling system 300. The external temperature and humidity meter 327 provides the detected external temperature and humidity information to the automatic control system 350.

The equipment communication circuit 310 may support the communication function of the cooling system 300. For example, the equipment communication circuit 310 may form a communication channel with the cloud server 200 through the network 51 under the control of the automatic control system 350. The facility communication circuit 310 may transmit information collected by the automatic control system 350 to the cloud server 200. The facility communication circuit 310 may receive alternating operation combination information from the cloud server 200 (or user terminal 100) and provide it to the automatic control system 350.

The automatic control system 350 controls the above-described refrigerator 321, cold water pump 322, cooling tower 323, cooling water pump 324, flow meter 325, watt hour meter 326, and external temperature and humidity meter 327. and control of the facility communication circuit 310. For example, the automatic control system 350 includes the status value (CHS) for each refrigerator, cold water supply temperature (CHWS), cold water return temperature (CHWR), cold water rated flow rate (CHWF), cooling water supply temperature (CWS), and cooling water return temperature ( CWR), cooling water rated flow rate (CWF), chiller power consumption (CHE), chilled water pump power consumption (CHWPE), cooling water pump power consumption (CWPE), cooling tower power consumption (CTE), chilled water pump inverter output (CHWPIV), cooling water pump Cooling-related information, including inverter output (CWPIV), outside air temperature (OADT), and outside air humidity (OARH), can be collected from each device, meter, or sensor. The automatic control system 350 may transmit the collected cooling-related information to the cloud server 200.

The automatic control system 350 may receive alternating operation combination information from the cloud server 200. The automatic control system 350 checks the received alternating operation combination information and controls the operation of each device, such as a plurality of refrigerators 321, a cold water pump 322, a cooling tower 323, and a cooling water pump 324. You can create signals and transmit the created control signals at the point when each device needs to be operated. At this time, the alternating operation combination information used by the automatic control system 350 may include information on how each component of the cooling system 300 can be operated with the highest efficiency.

Figure 3 is a diagram showing an example of the device configuration of a cloud server according to an embodiment of the present invention.

Referring to FIG. 3, the cloud server 200 (or server device) of the present invention may include a server communication circuit 210, a server memory 230, and a server processor 250.

The server communication circuit 210 (or server communication interface) may support forming a communication channel with the cooling system 300 and the user terminal 100. In this regard, the server communication circuit 210 includes a first communication circuit 211 for forming a communication channel with the cooling system 300, and a second communication circuit 212 for forming a communication channel with the user terminal 100. ) may include. The first communication circuit 211 and the second communication circuit 212 are not limited to a specific communication method, communication type, or type of communication module. The first communication circuit 211 and the second communication circuit 212 may be communication circuits of the same type or operated in the same manner, or may be different communication circuits. Among these server communication circuits 210, the first communication circuit 211 receives cooling-related information from the cooling system 300 in response to the control of the server processor 250, and provides cooling information using at least one alternating operation combination information. It can be provided to the system 300. The second communication circuit 212 of the server communication circuit 210 may provide a plurality of alternating operation combination information to the user terminal 100 and receive selection information for selecting specific combination information from the user terminal 100. there is.

The server memory 220 may store at least one program and data necessary for operating a server device (eg, the cloud server 200). For example, the server memory 220 accumulates cooling-related information provided according to the operation of the cooling system 300 and cooling system operation information about how the cooling system 300 was operated at the time the cooling-related information was collected. You can save it. The server memory 230 may store statistical information generated based on the cooling-related information and the cooling system operation information. The statistical information may include, for example, at least one of daily weather information, equipment margin ratio, cooling heat source, cooling load prediction information, optimal operation combination recommendation information, air conditioner load rate status, indoor temperature, power usage status, power rate, and power usage. there is. The server memory 230 may store alternating operation combination information (or operation combination data) and prediction data.

When the server processor 250 receives cooling-related information from the cooling system 300, it creates alternating operation combination information to operate the cooling system 300 based on the received cooling-related information, and uses the created alternating operation combination information to perform cooling. It can be provided to the system 300. Alternatively, the server processor 250 creates a plurality of alternating operation combination information based on the received cooling-related information, provides the plurality of alternating operation combination information to the user terminal 100, and then The selected alternating operation combination information may be provided to the cooling system 300. In this regard, the server processor 250 may include a data collection unit 251, a demand prediction modeling unit 252, an operation combination calculation unit 253, and an information provision unit 254.

The data collection unit 251 may collect cooling-related information related to the operation of the cooling system 300 at a predefined point in time or in response to an administrator request or a request from the user terminal 100. For example, the cooling-related information includes data collected by the automatic control system 350 of the cooling system 300 (e.g., state value for each refrigerator (CHS), cold water supply temperature (CHWS), cold water return temperature (CHWR), Chilled water rated flow (CHWF), cooling water supply temperature (CWS), cooling water return temperature (CWR), cooling water rated flow (CWF), chiller power consumption (CHE), chilled water pump power consumption (CHWPE), cooling water pump power consumption (CWPE) , cooling tower power consumption (CTE), chilled water pump inverter output (CHWPIV), chilled water pump inverter output (CWPIV), outside air temperature (OADT), and outside air humidity (OARH)). The data collection unit 251 may transmit the collected information to at least one of the demand prediction modeling unit 252 and the information provision unit 254. According to one example, the data collection unit 251 may collect cooling-related information at 15-minute intervals. The data collection unit 251 may collect cooling-related information on a daily basis. For example, the data collection unit 251 may collect cooling-related information in 15-minute increments from 00:00 to 23:45, and store the collected cooling-related information in the server memory 230 on the corresponding date.

The demand prediction modeling unit 252 may perform modeling to predict demand for power based on cooling-related information provided by the cooling system 300. For example, the demand prediction modeling unit 252 is configured to predict the cooling load of a facility (e.g., a data center) and generates an analysis model that predicts the cooling load for 24 hours at 15-minute intervals starting from one day in advance. You can. According to one example, the demand prediction modeling unit 252 may generate a cooling load prediction model based on an XGboost learning model. In this regard, the demand prediction modeling unit 252 may compare the cooling load prediction information with the information extracted from the cooling-related information and perform learning on the error.

The operation combination calculation unit 253 may calculate alternating operation combination information of the refrigerator 321. The alternating operation combination information of the refrigerator 321 may include, for example, operation (state value = 1) or stop (state value = 0) of the refrigerator 321, and inverter output values of the chilled water pump and the cooling water pump. The output value of the inverter may be configured as an output (0, 80 to 100) depending on the flow rate. For example, the operation combination calculation unit 253 may accumulate multi-year cooling-related information for more than one year and, based on this, generate alternating operation combination information. The operation combination calculation unit 253 may perform a preprocessing process on data. For example, the operation combination calculation unit 253 may remove short-term use data for test runs and data changed due to refrigerator replacement. The operation combination calculation unit 253 compares the facility's cooling load prediction information with the operation combination information according to the accumulated cooling load, and provides data where the predicted cooling load pattern and the outdoor temperature and wet bulb temperature conditions are similar or most similar within a certain percentage. can be extracted. As an example, the operation combination calculation unit 253 may measure the Euclidean distance between the cooling load forecast value and the operation combination data using the nearest neighbor search method, and search for similar or most similar records within a certain ratio. .

The information provider 254 may provide the alternating operation combination information calculated by the operation combination calculation unit 253 to the cooling system 300 through the network 51. The automatic control system 350 of the cooling system 300 may generate a control signal to control the operation of each device based on the received alternating operation combination information and transmit the control signal to each device. As another example, the information provider 254 may provide similar alternating operation combination information within a certain ratio to the user terminal 100 and provide the alternating operation combination information selected by the user terminal 100 to the cooling system 300. It may be possible.

The information provider 254 creates information about the current facility state or statistical information about the current facility cooling state based on the cooling-related information provided by the cooling system 300, and sends the created statistical information to the user terminal ( 100). In this regard, the information provider 254 may temporarily or semi-permanently store the created statistical information and contact information of the user terminal 100 in the server memory 230.

Figure 4 is a diagram showing an example of a user terminal configuration according to an embodiment of the present invention.

Referring to FIG. 4 , the user terminal 100 may include a communication interface 110, an input/output device 120, a memory 130, a display 140, and a processor 150.

The communication interface 110 (or communication circuit) may support the formation of a communication channel of the user terminal 100. In this regard, the communication interface 110 may include a communication circuit or communication chip corresponding to at least one communication generation. For example, the communication interface 110 may include at least one communication circuit among a 3G communication circuit, a 4G communication circuit, and a 5G communication circuit. The communication interface 110 may receive information related to the operation of the cooling system 300 from the cloud server 200. For example, the communication interface may receive information on a plurality of alternating operation combinations. The communication interface 110 may transmit user selection information for selecting alternating operation combination information input through the input/output device 120 (or display 140) to the cloud server 200 through the network 51. Additionally, the communication interface 110 may receive at least some of the statistical information from the cloud server 200.

The input/output device 120 may include at least one input means for supporting the input function of the user terminal 100 and at least one output means for supporting the information output function of the user terminal 100. For example, the input means of the input/output device 120 may include a touch key, a touch pad, a physical button, a mouse, etc. Additionally, the input/output device 120 may include a microphone related to supporting a voice input function. Meanwhile, when the display 140 is configured as a touch screen, the display 140 may be a component of the input/output device 120. The output means of the input/output device 120 includes, for example, an audio device capable of outputting an audio signal, a vibration module capable of outputting a signal of a specified vibration pattern, an LED or lamp capable of outputting light of a certain color, etc. can do.

The memory 130 may store at least one program related to the operation of the user terminal 100 and data necessary for program operation. For example, the memory 130 checks the operating system required for operating the user terminal 100, operation information of the cooling system 300, selects alternate operation combination information of the cooling system 300, and controls the cooling system 300. Applications that support at least one of the following can be stored. Additionally, the memory 130 may temporarily or semi-permanently store cooling-related information received in connection with the operation of the cooling system 300 and information on the alternating operation combination selected for controlling the cooling system 300.

The display 140 may support the display function of the user terminal 100. This display 140 can output various screens necessary for operating the user terminal 100. For example, the display 140 may output at least one of a home screen, a cloud server 200 connection screen, and a screen related to the operation of the cooling system 300. The display 140 may output an information display screen including at least some of various statistical information related to the operation of the cooling system 300. The display 140 may output at least one alternate operation combination information related to the operation of the cooling system 300. The display 140 may be provided in the form of a touch screen, and in this case, the display 140 may operate as an input means among the input/output device 120.

The processor 150 can control the processing and transmission of signals necessary for operating the user terminal 100 and the storage of various information. The processor 150 of the present invention controls to form a communication channel with the cloud server 200 through the network 51 in response to user manipulation, and displays a screen related to the operation of the cooling system 300 supported by the cloud server 200. can be received and output to the display 140. For example, the processor 150 may output a list corresponding to statistical information generated based on cooling-related information of the cooling system 300 to the display 140 and support detailed information display of specific information according to user selection. there is. In addition, when receiving a plurality of alternating operation combination information, the processor 150 outputs a screen for selecting one alternating operation combination information to the display 140, and displays the alternating operation combination information selected by the user input. It can be delivered to the cloud server 200.

Figure 5 is a diagram showing an example of a method of operating a cloud server device according to an embodiment of the present invention, and Figure 6 shows an example of an XGB model for predicting cooling demand for a data center according to an embodiment of the present invention. . Figure 7 is a diagram showing an example of alternating operation combination information of a data center according to an embodiment of the present invention, and Figure 8 is a diagram illustrating the calculation of the distance between the predicted data set and the preliminary alternating operation combination data set according to an embodiment of the present invention. This is a drawing showing an example.

Referring to FIG. 5, in relation to the device operation method of the cloud server according to an embodiment of the present invention, the server processor 250 of the cloud server 200 links and collects Building Energy Management System (BEMS) data in step 501. can be performed. The BEMS data can be obtained, for example, from a building automatic system (BAS) (or automatic control equipment). In this regard, the server processor 250 forms a communication channel with the automatic control system 350 and provides at least one refrigerator status value (CHS) among the plurality of refrigerators 321 interoperating with the automatic control system 350, Chilled water supply temperature (CHWS), chilled water return temperature (CHWR), chilled water rated flow (CHWF), cooling water supply temperature (CWS), cooling water return temperature (CWR), cooling water rated flow (CWF), chiller power consumption (CHE), chilled water Pump power consumption (CHWPE), chilled water pump power consumption (CWPE), cooling tower power consumption (CTE), chilled water pump inverter output (CHWPIV), and chilled water pump inverter output (CWPIV) can be collected. Additionally, the server processor 250 may acquire temperature and humidity information from an outside air temperature (OADT) and outside air humidity (OARH) measuring device (e.g., external thermohygrometer 327).

In step 503, the server processor 250 may calculate the cooling load and the power consumption of the cooling system 300. In the process of calculating cooling load and power consumption, the amount of heat required to predict the cooling load is calculated as the sum of the heat amount of each refrigerator, and the cooling load of one refrigerator can be calculated using Equation 1 below. Each data can be calculated for 96 points when applied 24 hours a day in 15-minute increments.

[Equation 1]

here, is the specific heat of the refrigerant, may mean refrigerant density. The cooling load of the entire cooling system 300 is calculated by summing the heat amount of each refrigerator, and can be calculated using Equation 2 below.

[Equation 2]

Here, n is the number of refrigerators, may refer to the refrigerator heat capacity.

The power consumption of the cooling system 300 is calculated by summing the power consumption of each refrigerator 321, cold water pump 322, cooling water pump 324, and cooling tower 323, and can be calculated using the following equation 3: .

[Equation 3]

Here, n may mean the number of facilities.

In step 505, the server processor 250 may create a cooling load demand prediction model. In relation to cooling load demand prediction modeling, the cooling load prediction of the cooling system 300 is an analysis model that predicts the cooling load for 24 hours from one day ago at 15-minute intervals, and the learning model may be, for example, using the XGboost method. . XGboost is a tree-based boosting model that can include a method of generating a model by repeating it several times and finally generating output by weighted average of the values of all analysis models. At each iteration, the You can learn using data (8 point data) and the next day's day value (0-6, Monday = 0). The XGBoost learning model can be learned by setting the depth of the tree to, for example, 3, and applying the number of models to be created (n_estimators) to 400.

Referring to FIG. 6, the XGB model for predicting cooling demand for a data center according to an embodiment of the present invention calculates the total sum of w ₁ y ₁ , w ₂ y ₂ and w _n y _n as output. You can. Here, w ₁ , w ₂ ,..w _n may be weight values according to preset standards.

In step 507, the server processor 250 may generate and preprocess alternating operation combination information. In relation to generating an alternating operation combination, the server processor 250 may calculate at least some of the alternating operation combinations of the freezer 321 stored for many years as a preliminary alternating operation combination. For example, the server processor 250 is based on the operation combination data previously stored in the server memory 230, and a section matching at least one of the year, season, month, or week in which the facility's cooling system 300 is currently operated. The data can be calculated as preliminary alternating operation combination data. The preliminary alternating operation combination may be composed of a case where each refrigerator 321 is running (state value = 1) or stopped (state value = 0) and the inverter output values of the cold water pump and the cooling water pump accordingly. The output value of the inverter consists of output according to the flow rate (e.g., 0, 80 to 100), and when there are 7 refrigerators 321, the server processor 250 can generate a combination as shown in FIG. 7. Referring to Figure 7, the data date and time is a total of 96 point data from 00:00 on August 27, 2021 to 23:45 on August 27, 2021, and when the refrigerator status is on, the value of 1 is turned off. In this case, it can be set to a value of 0. When referred to as Unit 1 from the left side of the drawing, this may mean that Chillers 1, 2, and 3 are operated in an on state. Regarding the chilled water pump output status, a value of 0 indicates that the pump is off, and the number may indicate efficiency (e.g. %). Regarding the coolant pump output status, a value of 0 indicates that the pump is off, and the remaining numbers may indicate efficiency (e.g., %). The cooling load (calculated value) may mean the cooling load value calculated based on the inverter output for each refrigerator combination.

To create this preliminary alternating operation combination, the server processor 250 can use multi-year data of more than one year by reviewing various operation combinations and considering external air influences. Meanwhile, the server processor 250 can perform preprocessing for system stability in the generated preliminary alternating operation combination, and in relation to this, data used for a short period of time for test operation, data that has changed from the past due to replacement of the refrigerator, etc. It can be removed from the data and realistically available operating combinations can be extracted. Since the test run can be carried out for testing purposes for several days, the server processor 250 can use the combination generated from a refrigerator with no replacement history among the data with an operation record for at least one week when creating a preliminary alternating operation combination.

In step 509, the server processor 250 may calculate the distance between the preliminary operation combination information set and the prediction data set. The server processor 250 calculates the distance between the information set and the data set to optimize the refrigerator alternating operation combination. That is, in relation to optimizing the freezer alternating operation combination, the server processor 250 includes the cooling load prediction result performed in step 505 and specified conditions (e.g., : At least one of the cooling load pattern, outdoor temperature, and wet bulb temperature conditions) can extract data that is similar to a certain percentage or the most similar data. Nearest neighbor search, an exploratory method, can be used to extract data, and the server processor 250 measures the Euclidean distance between the cooling load prediction value and the preliminary alternating operation combination data. By measuring, you can search for records that are similar or most similar by more than a predefined certain percentage. The distance between the predicted value and the preliminary alternating operation combination data can be calculated through Equation 4 below.

[Equation 4]

In the case of Equation 4 above, normalization was performed using the maximum and minimum values to set the scale of each data to 0-1 before calculating the distance, and in Equation 4, x may correspond to a measured value. For example, min(x) may be the minimum value among the measured values, and max(x) may be the maximum value among the measured values.

The distance between the predicted cooling load value and the cooling load of the preliminary alternating operation combination data can be calculated through Equation 5 below.

[Equation 5]

The distance between the predicted outdoor temperature and the outdoor temperature of the preliminary alternating operation combination data can be calculated through Equation 6 below.

[Equation 6]

The distance between the predicted wet bulb temperature and the wet bulb temperature of the preliminary alternating operation combination data can be calculated through Equation 7 below.

[Equation 7]

The values obtained in Equations 5, 6, and 7 described above can be applied to the following Equation 8 to calculate the distance value of the preliminary alternating operation combination data.

[Equation 8]

In relation to calculating the optimized alternating operation combination information, when using the three items described above, as shown in FIG. 8, the items calculated using the equations above (e.g. cooling load value item, outdoor temperature item, wet bulb temperature A comparison between the prediction data set 801 and the preliminary alternating operation combination data set 803 may be performed based on the item). That is, in the process of calculating the distance between data, the server processor 250 calculates the distance between the cooling load value item, outdoor temperature item, and wet bulb temperature item of the predicted data set 801 and the preliminary alternating operation combination data set 803. After performing this, the optimized alternating operation combination data can be calculated.

In step 511, the server processor 250 may extract high-order data with a short distance. As an example, the server processor 250 may extract the smallest alternating operation combination data or alternating operation combination data records included within a certain percentage (e.g., top 1%) of the distance values calculated using Equation 8. The server processor 250 may adjust the extraction range of the calculated top data according to the size of the alternating operation combination data or the period of the collected data.

In step 513, the server processor 250 may derive an operation combination that minimizes power consumption. As an example, since the purpose of optimizing the operating combination is to minimize operating costs and power consumption, the server processor 250 generates data that minimizes the sum of daily power consumption of the cooling system as shown in Equation 9 below: You can explore.

[Equation 9]

Here, i may mean a time value of 00:00:00 to 23:45:00 (in 15-minute increments).

In step 515, the server processor 250 may output the derived optimal alternating operation combination to the user terminal 100. In relation to this, the server processor 250 may store and manage contact information of the user terminal 100 that will receive the optimal alternating operation combination (or an operation combination that results in minimum power consumption). The user terminal 100 may be a terminal of at least one user among a driver who drives the cooling system 300, an administrator who manages the status of the cooling system 300, and a manager of a facility where the cooling system 300 is installed. .

As described above, the server processor 250 of the cloud server 200 of the present invention performs data analysis and modeling to predict and optimize the cooling load of the facility (e.g., data center). It is linked to the cloud through a control system (BAS), and data collected in the cloud can be analyzed and modeled and distributed on the cloud through Docker imaging. The deployed model can be optimized at a certain cycle and the analysis results can be transmitted to the web server. The analysis results collected on the web server may be provided to the user terminal 100 of the operator or manager of the facility through a web service. Meanwhile, the cloud server 200 may be set to provide combination information directly to the user terminal 100 without transmitting information through a web server.

Figure 9 is a diagram illustrating an example of a screen interface provided to a user terminal in relation to operation of a cooling system according to an embodiment of the present invention.

Referring to FIG. 9, as previously described, the server processor 250 of the cloud server 200 can calculate optimal alternating operation combination information through the contents described in FIGS. 5 to 8, and in this process, optimal alternating operation combination information is calculated. Observation information related to the facility can be collected from the manager who receives the operation combination information. For example, the server processor 250 may collect observation information including title information of the facility, weather information of the area where the facility for which statistical information is provided, margin information of equipment installed in the facility, and cooling heat source (cold water) information. . The server processor 250 uses the collected observation information to create a screen that includes a facility title area 901, a weather information area 903, an equipment margin area 905, and a cooling heat source area 907. can be configured. The server processor 250 may provide a screen composed of the above-described areas to the user terminal 100, and the user terminal 100 may output the received screen on the display 140.

For example, the title area 901 of the facility may display the name of the facility for which the cloud server 200 manages air conditioning operations. Additionally, the title area 901 of the facility may display the time during which the cooling operation is managed. The weather information area 903 may include various weather information within the area or facility where the facility is located. As an example, the weather information area 903 may display dry bulb temperature, wet bulb temperature, relative humidity, enthalpy, PM10, and PM2.5 numerical values. The equipment margin area 905 is an area where the cooling margin is displayed, and the operation margin of the cooling system 300 disposed in the facility may be displayed. The cooling heat source area 907 includes the on or off status of the refrigerators 321 included in the cooling system 300, such as Turbo 1 to Turbo 7, the temperature value of cold water supplied by each refrigerator 321, and each refrigerator 321. )'s water return temperature value and the surrounding external air temperature value of each refrigerator 321 may be displayed. Meanwhile, the type and number of each of the above-described areas and the type and number of items included in each area may vary depending on the request of the server manager or the user terminal 100.

Figure 10 is a diagram showing an example of a screen interface related to cooling load prediction and optimal operation combination recommendation during cooling system operation according to an embodiment of the present invention.

Referring to FIG. 10, the server processor 250 may provide a screen including the cooling load prediction value and optimal operation combination information to the user terminal 100, and the user terminal 100 may display the screen provided by the server processor 250. The screen can be output to the display 140. The information screen displayed on the display 140 may include, for example, a cooling load prediction value area 1001 and an optimal operation combination information area 1003.

The cooling load predicted value area 1001 may display the date on which the predicted cooling load value is applied and the maximum heat value. As an example, in the cooling load prediction value area 1001, hourly cooling load prediction values may be displayed in a graph form.

The optimal operation combination information area 1003 may display the optimal operation combination information calculated through the method previously described in FIGS. 5 to 8. As an example, when seven refrigerators 321 (e.g., Turbo 1 to Turbo 7) are arranged in a facility, the optimal operation combination information area 1003 contains identification information of the refrigerators 321 (e.g., Turbo 1 to Turbo 7). Turbo 7), on or off state control information of each refrigerator 321, cold water inverter values of each refrigerator 321, and coolant inverter values of each refrigerator 321 may be displayed. As described above, the optimal alternating operation combination information displayed in the optimal operation combination information area 1003 represents the status and output of the refrigerator, chilled water pump, and cooling water pump, respectively, and is provided in various forms such as web or mobile to assist building facility operators. Can be serviced.

Figure 11 is a diagram showing an example of a screen interface related to the air conditioner load rate in relation to the operation of the cooling system according to an embodiment of the present invention.

Referring to FIG. 11, the server processor 250 may create statistical information regarding the air conditioner load rate to be provided to the user terminal 100, configure a screen including the created statistical information, and provide the screen to the user terminal 100. . The user terminal 100 can output a screen for selecting a menu for selecting at least one screen among various screens provided by the server processor 250, and as shown in FIG. 11, status information related to the air conditioner load rate. When a user input requesting a screen including , information related to the air conditioner load rate is requested and received from the cloud server 200, and the received information can be output to the display 140.

A screen containing status information related to the air conditioner load rate may include, for example, an indoor air conditioner load rate status area 1101 and an air conditioner load rate area 1103 for each floor. The indoor air conditioner load rate status area 1101 contains identification information indicating various locations of the facility, such as each floor (e.g., building A on the 5th floor, building B on the 5th floor, building A on the 8th floor (left), building A on the 8th floor (right). ??B1_Air conditioning room 5) and the indoor air conditioner load rate status numerical value corresponding to each identification information can be displayed. The area where “data confirmation required” is displayed may be a facility area where a load rate below a preset value is detected, or a facility area where a load rate above a preset value is detected. The identification information may be classified according to the locations of refrigerators placed in the facility.

The air conditioner load rate area 1103 for each floor may display the average load rate for a certain period of time (e.g., the last two weeks). As an example, the air conditioner load rate area 1103 for each floor may display identification information indicating each area (or zone) of the facility and average air conditioner load rate information for the areas indicated by each identification information in a graph form.

FIG. 12 is a diagram illustrating an example of a screen interface providing information about indoor temperature in relation to operation of a cooling system according to an embodiment of the present invention.

Referring to FIG. 12, the server processor 250 may create information about the indoor temperature to be provided to the user terminal 100, configure a screen including the created indoor temperature information, and provide the screen to the user terminal 100. . The user terminal 100 provides a menu or a specific icon for selecting at least one screen among various screens provided by the server processor 250, and when a menu such as viewing the indoor temperature is selected, as shown in FIG. 12, the indoor temperature screen is displayed. A screen containing temperature information may be requested and received from the cloud server 200, and the received indoor temperature information may be output on the display 140.

The screen 1201 related to indoor temperature information may display, for example, indoor temperature values for some areas of the facility. As an example, the screen 1201 related to indoor temperature information may display identification information of zones on the 20th floor where the temperature of the facility is high and indoor temperature information of each zone. In this regard, a plurality of temperature detection sensors may be placed at least on each floor in the facility. The server processor 250 of the cloud server 200 receives indoor temperature values for all floors from the automatic control system 350 that manages a plurality of temperature detection sensors disposed in the facility, and ranks a certain level among the received indoor temperature values. A screen 1201 related to indoor temperature information can be configured using the floors and the indoor temperature values of each floor and provided to the user terminal 100.

Meanwhile, when the user terminal 100 outputs a screen 1201 related to indoor temperature information and receives a user input for adjusting the number of floors, it provides the user input to the cloud server 200 and responds to the user input. Accordingly, a screen related to the updated indoor temperature information may be received and output on the display 140. For example, if the user input is an input requesting to display the 30 highest temperatures, the server processor 250 may provide the user terminal 100 with a screen containing the indoor temperature values of the upper 30 floors.

Additionally, the user terminal 100 may change the display effect for the area where the indoor temperature above a certain temperature is detected to be different from other areas according to the user's manipulation. For example, the user terminal 100 may flash or highlight an area (or item) where an indoor temperature value greater than a specified value is displayed.

Figure 13 is a diagram illustrating an example of a screen interface where power usage information is provided in relation to the operation of a cooling system according to an embodiment of the present invention.

Referring to FIG. 13, the server processor 250 may create power usage-related information to be provided to the user terminal 100, configure a screen including the created power usage-related information, and provide the screen to the user terminal 100. . The user terminal 100 can output at least one screen among various screens provided by the server processor 250 by selecting a menu, etc., and, as shown in FIG. 13, requests and displays a screen containing information related to power use. It can be output at (140).

A screen containing information related to power use may include, for example, a facility identification information area 1301, a power usage status area 1303, a power rate area 1305, and a power usage area 1307 for each purpose.

The facility identification information area 1301 may display name information of the facility from which power use-related information is collected. Additionally, the facility identification information area 1301 may further display at least one of the month in which power usage was detected, a rate plan related to power usage, a peak power value, and a cumulative usage value. In the drawing, the facility identification information area 1301 is shown to indicate the power usage status in August, but the present invention is not limited thereto. For example, the facility identification information area 1301 may display months of two or more months.

The power usage status area 1303 may display the power usage status for the most recent specified period of time. As an example, power usage status for the last 3 hours may be displayed in the power usage status area 1303. The latest time displayed in the power usage status area 1303 may change depending on user operation or the policy of the cloud server 200. For example, the power usage status area 1303 may display at least part of the power usage status from the start of the month (or year, day, etc.) in which the power usage status is displayed to the current time.

The power rate area 1305 may display the power rate for a predefined period of time. As an example, the power rate area 1305 may display the power rate for the last 12 months. The interval of the latest power charge may vary depending on user operation or a policy change of the cloud server 200. For example, the power charge area 1305 may display power charges for the last 3 days, power charges for the last 3 months, or power charges for the last 3 years. Depending on the cycle unit of the displayed power charge, the time unit displayed in the power charge area 1305 may vary. For example, the power rate area 1305 may display at least one of the annual average value, the monthly average value, and the above average value. Additionally, depending on user operation, the average power rate value for each unit may be changed to the average power rate value for each other unit.

The power usage area 1307 can display the power usage for each specific period by classifying the purpose. For example, the power usage area 1307 for each purpose may separately display the power usage of the refrigerator 321, the cold water pump 322, the cooling water pump 324, and the cooling tower 323. Here, the power usage by use area 1307 displays the power usage by each device in different colors, thereby increasing visibility of the power usage by use. Additionally, the total power usage information may be displayed in the power usage area 1307 for each purpose.

The method for providing the optimal operation combination of the cooling system according to the embodiment of the present invention described above and the user terminal using the same predict the cooling load demand through the cooling system operation data of the facility (e.g., data center) accumulated over a long period of time or over many years, Using predicted cooling load, outdoor temperature, and wet bulb temperature, similar past records can be searched, and efficient energy operation combinations can be extracted and recommended. These systems can reduce cooling energy loss and maximize efficiency in large data centers that consume high density energy, and can support building operators in recommending various combinations that are difficult to judge. In addition, because the system of the present invention is based on past operation records, it has the advantage of ensuring the stability of the cooling system, so it can be directly used in data center facility operation.

As described above, although this specification contains details of numerous specific implementations, these should not be construed as limitations on the scope of any invention or what may be claimed, but rather may be specific to particular embodiments of a particular invention. It should be understood as a description of features.

Additionally, although operations are depicted in the drawings in a specific order, this should not be construed as requiring that those operations be performed in the specific order or sequential order shown or that all of the depicted operations must be performed to obtain desirable results. In certain cases, multitasking and parallel processing may be advantageous. Additionally, the separation of various system components in the above-described embodiments should not be construed as requiring such separation in all embodiments, and the described program components and systems may generally be integrated together into a single software product or packaged into multiple software products. You must understand that it is possible.

The present description sets forth the best mode of the invention and provides examples to illustrate the invention and to enable any person skilled in the art to make and use the invention. The specification prepared in this way does not limit the present invention to the specific terms presented. Accordingly, although the present invention has been described in detail with reference to the above-described examples, those skilled in the art may make modifications, changes, and variations to the examples without departing from the scope of the present invention.

Therefore, the scope of the present invention should not be determined by the described embodiments, but by the scope of the patent claims.

10: System environment
51: network
100: electronic device
110: communication interface
120: input/output device
130: memory
140: display
150: processor
200: Cloud server
210: Server communication circuit
230: Server memory
250: server processor
300: Cooling system
310: Equipment communication circuit
321: Freezer
322: Cold water pump
323: Cooling tower
324: Coolant pump
325: flow meter
326: Wattmeter
327: External thermohygrometer
350: Automatic control system

Claims (12)

Forming, by the server device, a communication channel with an automatic control system that manages an air conditioning system including a plurality of refrigerators;
The server device calculates a preliminary alternating operation combination data set from operation combination data for alternating operation of the plurality of refrigerators received from the automatic control system, and determines the current operating conditions of the cooling system received from the automatic control system. calculating a predicted data set predicting the cooling load of the cooling system based on the data set;
Comparing, by the server device, the preliminary alternating operation combination data set and the predicted data set to calculate alternating operation combination information that satisfies a specified condition;
A method of providing an operation combination of an air conditioning system, comprising: transmitting, by the server device, the alternating operation combination information to a user terminal related to operation of the cooling system.
According to paragraph 1,
The step of calculating the predicted data set is
From the automatic control system, the status values for each refrigerator, cold water supply temperature, cold water return temperature, chilled water rated flow rate, cooling water supply temperature, cooling water return temperature, cooling water rated flow rate, refrigerator power consumption, chilled water pump power consumption, cooling water pump power consumption, cooling tower Receiving operation-related data including at least one of power consumption, chilled water pump inverter output, chilled water pump inverter output, outside air temperature, and outside air humidity. A method for providing an operation combination of a cooling system, comprising:
According to paragraph 2,
The step of calculating the predicted data set is
Receiving the operation-related data from the automatic control system every 15 minutes per day;
generating analysis models for the operation-related data received every 15 minutes per day;
A method for providing an operation combination of a cooling system, comprising: outputting a weighted average of the generated analysis models as cooling load prediction data.
According to paragraph 1,
A method for providing an operation combination of a cooling system, further comprising excluding trial run data or data according to refrigerator replacement from the preliminary alternating operation combination data set.
According to paragraph 1,
The step of calculating the alternating operation combination information is
Detecting values similar to the cooling load pattern of the predicted data set and the outdoor temperature and wet bulb temperature conditions within a specified ratio from the preliminary alternating operation combination data based on a nearest neighbor search method;
A method for providing an operation combination of a cooling system, comprising: calculating the alternating operation combination information representing the minimum power consumption from the detected preliminary alternating operation combination data.
According to paragraph 1,
The step of transmitting to the user terminal is
Constructing a screen including the status and output of a plurality of refrigerators included in the cooling system, at least one cold water pump, a cooling water pump, and a cooling tower connected to the plurality of refrigerators based on the alternating operation combination information;
Transmitting the screen to the user terminal through at least one of web and mobile methods. A method of providing an operation combination of a cooling system, comprising:
a server communication circuit forming a communication channel with an automatic control system that manages an air conditioning system including a plurality of refrigerators;
a server memory that stores operation combination data for alternately operating the plurality of refrigerators received from the automatic control system;
It includes a server processor functionally connected to the server communication circuit and the server memory,
The server processor is,
Forming a communication channel with the automatic control system,
A prediction data set that calculates a preliminary alternating operation combination data set using the operation combination data stored in the server memory and predicts the cooling load of the cooling system based on the current operating conditions of the cooling system received from the automatic control system. Calculate
Compare the preliminary alternating operation combination data set and the predicted data set to calculate alternating operation combination information that satisfies specified conditions,
A server device that provides an operation combination of a cooling system, characterized in that it is set to transmit the alternating operation combination information to a user terminal related to the operation of the cooling system.
In clause 7,
The server processor is,
From the automatic control system, the status values for each refrigerator, cold water supply temperature, cold water return temperature, chilled water rated flow rate, cooling water supply temperature, cooling water return temperature, cooling water rated flow rate, refrigerator power consumption, chilled water pump power consumption, cooling water pump power consumption, cooling tower A server device that provides an operating combination of a cooling system, characterized in that it is set to receive data including at least one of power consumption, chilled water pump inverter output, cooling water pump inverter output, outside air temperature, and outside air humidity.
According to clause 8,
The server processor is,
After receiving the data from the automatic control system in units of 15 minutes per day, creating analysis models for the data received in units of 15 minutes per day, the weighted average value of the generated analysis models is calculated as the cooling load. A server device providing a combination of operations of a cooling system, characterized in that it is configured to output predictive data.
In clause 7,
The server processor is,
A server device that provides an operation combination of a cooling system, characterized in that it is set to exclude trial run data or data due to refrigerator replacement from the preliminary alternating operation combination data set.
In clause 7,
The server processor is,
In relation to calculating the alternating operation combination information, the cooling load pattern of the predicted data set, and values similar to the outdoor temperature and wet bulb temperature conditions within a specified ratio are detected from the preliminary alternating operation combination data based on the nearest neighbor search method, ,
A server device that provides an operation combination of a cooling system, characterized in that it is set to calculate the alternating operation combination information representing the minimum power consumption from the detected preliminary alternating operation combination data.
In clause 7,
The server processor is,
In relation to the operation of transmitting the alternating operation combination information to the user terminal,
Constructing a screen including the status and output of a plurality of refrigerators included in the cooling system, at least one cold water pump, a cooling water pump, and a cooling tower connected to the plurality of refrigerators based on the alternating operation combination information,
A server device that provides an operation combination of a cooling system, characterized in that it is set to transmit the screen to the user terminal through at least one of web and mobile methods.

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