Real-time virtual sensor monitoring system for multi-use facility, and operation method thereof

Abstract

Disclosed is a real-time virtual sensor monitoring system and method for a multi-use facility, the system comprising: an input unit for generating a plurality of pieces of air conditioner measurement data and a plurality of pieces of indoor environment measurement data in a multi-use facility; a calculation unit including a pre-processing unit, which receives the plurality of pieces of air conditioner measurement data and the plurality of pieces of indoor environment measurement data and performs pre-processing, and a simulation unit, which receives data pre-processed by the pre-processing unit and performs simulation; a parameter generation unit, which transmits, to the calculation unit, information obtained by dividing the multi-use facility into o (o is a natural number) zones; and an output unit, which receives a result simulated by the calculation unit, so as to output a virtual sensor distribution.

Description

Real-time virtual sensor monitoring system for multi-use facilities and its operation method

[0001] The present invention relates to a real-time virtual sensor monitoring system for a multi-use facility and an operating method thereof.

[0002] More specifically, the present invention relates to a real-time virtual sensor monitoring system for a multi-use facility using a reduced order model (ROM) and an operating method thereof.

[0003]

[0004] To efficiently manage energy consumption (e.g., power for air conditioning) in multi-use facilities (e.g., buildings such as department stores), data received through environmental sensors (e.g., temperature sensors, airflow sensors, and wind speed sensors) is collected to generate big data. This data can then be used to efficiently manage the energy used in multi-use facilities. For example, a model could be developed to focus air conditioning in areas with high concentrations of users in multi-use facilities during the summer.

[0005] Traditionally, models using 3D physical simulations have the disadvantage of requiring long analysis times and high-spec processing devices (e.g., computers), which limits real-time maintenance and application of digital twin models.

[0006] To overcome this, energy efficiency methods for multi-use facilities using reduced-order models are emerging.

[0007]

[0008] The technical problem that the present disclosure seeks to solve is to provide a real-time virtual sensor monitoring system for a multi-use facility that can simplify the model by using a reduced-order model, reduce computational costs, and obtain fast computational results.

[0009] Another technical problem that the present disclosure seeks to solve is to provide an operating method of a real-time virtual sensor monitoring system for a multi-use facility that can simplify the model by using a reduced-order model, reduce computational costs, and obtain fast computational results.

[0010]

[0011] According to some embodiments, a real-time virtual sensor monitoring system of a multi-use facility includes an input unit for generating a plurality of air conditioner measurement data and a plurality of indoor environment measurement data within the multi-use facility, a preprocessing unit for receiving the plurality of air conditioner measurement data and the plurality of indoor environment measurement data and performing preprocessing, and a simulation unit for receiving the preprocessed data through the preprocessing unit and performing simulation, a calculation unit including a parameter generation unit for transmitting information dividing the multi-use facility into o (o is a natural number) zones to the calculation unit, and an output unit for receiving the simulated result through the calculation unit and outputting a virtual sensor distribution, wherein the preprocessing unit includes a block for collecting real-time data through sensors within the multi-use facility, a block for transmitting measurement data sensed periodically within the real-time data to a building automatic control system, a block for transmitting input data for a simulated AHU setting value desired by a user within the real-time data to the building automatic control system, a block for preprocessing and calculating data of a block for transmitting the measured data sensed periodically, a block for receiving the preprocessed data and the simulated AHU setting value desired by the user through the preprocessing and calculating block and generating reduced-order model input data, and a parameter generation unit for generating a reduced-order model input data by ... It includes a block that transmits the order model input data to Twin Builder, and the simulation unit includes a virtual sensor reduction order model block, a user-desired simulation AHU setting value reduction order model block, a block that generates real-time virtual sensor results through the virtual sensor reduction order model block, and a block that compares the What-If virtual sensor change amount through the value of the user-desired simulation AHU setting value reduction order model block.

[0012] According to one embodiment, the simulation unit of the real-time virtual sensor monitoring system of a multi-use facility further includes a block that receives data of the virtual sensor reduced-order model block and receives values ​​of the simulated simulation AHU setting value reduced-order model block desired by the user to generate a PPD RSM.

[0013] According to one embodiment, multiple air conditioner measurement data of a real-time virtual sensor monitoring system of a multi-use facility are supply or return air volume, temperature, and / or humidity.

[0014] According to one embodiment, in a real-time virtual sensor monitoring system of a multi-use facility, the multi-use facility is composed of n floors (n is a natural number), each of the n floors includes an open part, the plurality of air conditioner measurement data is data measured through an air conditioner included in the n floor of the multi-use facility, the plurality of indoor environment measurement data is data measured through a p-th (p is a natural number) sensor included in the n floor of the multi-use facility, and the input unit generates both indoor environment measurement data included in the open part of the n-1 floor of the multi-use facility and indoor environment measurement data included in the open part of the n+1 floor.

[0015] In one embodiment, when the sensor generating indoor environment measurement data of the nth floor of the real-time virtual sensor monitoring system of a multi-use facility is defective, the sensor generating the p-1th or p+1th indoor environment measurement data is used.

[0016] According to some embodiments, a method of operating a real-time virtual sensor monitoring system of a multi-use facility includes transmitting sensor measurement data to a BAS at each cycle through a processing device disposed within the multi-use facility, transmitting simulated AHU data desired by a user to the BAS through the processing device disposed within the multi-use facility, the BAS collecting real-time data, storing and updating a real-time data DB, and receiving the stored and updated data through a communication Python Code, the Python Code distinguishing real-time sensor measurement data in the received data from simulated AHU data desired by the user, performing a preprocessing calculation on the real-time sensor measurement data, and transmitting the data on which the preprocessing calculation was performed and the simulated AHU data desired by the user as input data of a Twin Builder, and the Twin Builder performing a reduced-order model through a digital twin system using a reduced-order model.

[0017] In one embodiment, in a method of operating a real-time virtual sensor monitoring system of a multi-use facility, the Twin Builder is ANSYS Twin Builder.

[0018] In an operating method of a real-time virtual sensor monitoring system of a multi-use facility according to one embodiment, the Twin Builder builds the reduced-order model composed of computational fluid dynamics (CFD) result data.

[0019] According to one embodiment, a method of operating a real-time virtual sensor monitoring system of a multi-use facility is provided in which data from the communication Python Code to the Twin Builder is converted into binary data and transmitted via TCP / IP communication.

[0020] According to one embodiment, the method of operating a real-time virtual sensor monitoring system of a multi-use facility further includes the Twin Builder performing a reduced-order model through a digital twin system using a reduced-order model, and generating a virtual sensor What-If value generated through the user-desired simulated AHU data.

[0021]

[0022] Through the present invention, a real-time virtual sensor monitoring system and its operating method for a multi-use facility are provided, which enable real-time monitoring by providing high-precision flow distribution (temperature, airflow, and residence time, etc.) that improves the efficiency of air conditioning control through a reduced-order model-based digital twin.

[0023] In addition, the present invention provides a real-time virtual sensor monitoring system for a multi-use facility and an operating method thereof that quickly provides indoor flow distribution (temperature, airflow, and residence time, etc.) through a simulation of air conditioner settings desired by the user, and increases the efficiency of air conditioning control operation by comparing the results of user-set operation with the results of existing air conditioning operation through a comfort index.

[0024]

[0025] FIGS. 1A and 1B are exemplary flowcharts illustrating a method of operation of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0026] FIGS. 2A and 2B are exemplary block diagrams illustrating a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0027] FIGS. 3A to 3C are exemplary parameter tables for explaining preprocessing calculations in an operating method of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0028] FIG. 4 is an exemplary block diagram illustrating a preprocessing device of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0029] FIG. 5 is an exemplary flowchart for explaining a preprocessing operation in an operating method of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0030] FIGS. 6A and 6B are exemplary flowcharts for explaining an algorithm of a preprocessing operation in an operating method of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0031] Figure 7 is an exemplary diagram in which heat generation is uniformly applied to the entire monitoring location area for the operation of a real-time virtual sensor monitoring system for a multi-use facility.

[0032] Fig. 8 is an exemplary drawing showing the temperature distribution according to Fig. 7.

[0033] FIG. 9 is an exemplary diagram illustrating the operation of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments, in which the entire monitoring location area is divided into zones and the heat generation amount of the divided zones is applied collectively.

[0034] Fig. 10 is an exemplary drawing showing the temperature distribution according to Fig. 8.

[0035] FIG. 11 is an exemplary table illustrating the accuracy of operation of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0036]

[0037] Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the attached drawings. The advantages and features of the present disclosure, and methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the attached drawings. However, the technical spirit of the present disclosure is not limited to the embodiments described below and may be implemented in various different forms. These embodiments are provided only to ensure that the present disclosure is complete and to fully inform those skilled in the art of the present disclosure of the scope of the present disclosure, and the technical spirit of the present disclosure is defined only by the scope of the claims.

[0038] When assigning reference numerals to components in each drawing, it should be noted that identical components are assigned the same numerals whenever possible, even if they appear on different drawings. Furthermore, when describing the present disclosure, if a detailed description of a related known configuration or function is deemed likely to obscure the gist of the present disclosure, such detailed description will be omitted.

[0039] Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used in the same sense as commonly understood by those of ordinary skill in the art to which this disclosure pertains. Furthermore, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise. The terminology used herein is for the purpose of describing embodiments and is not intended to limit the disclosure. In this specification, singular forms also include plural forms, unless specifically stated otherwise.

[0040] Spatially relative terms such as "below," "beneath," "lower," "above," and "upper" can be used to easily describe the relationship between one component and other components as depicted in the drawings. Spatially relative terms should be understood to include different orientations of the components during use or operation in addition to the orientations depicted in the drawings. For example, if a component depicted in the drawings were flipped over, a component described as "below" or "beneath" another component could end up "above" the other component. Thus, the exemplary term "below" can include both the above and below orientations. Components can also be oriented in other directions, and thus spatially relative terms can be interpreted accordingly.

[0041] Additionally, terms such as first, second, A, B, (a), (b), etc. may be used to describe components of the present disclosure. These terms are only intended to distinguish the components from other components, and the nature, order, or sequence of the components are not limited by the terms. When a component is described as being "connected," "coupled," or "connected" to another component, it should be understood that the component may be directly connected or connected to the other component, but another component may also be "connected," "coupled," or "connected" between each component.

[0042] The terms "comprises" and / or "comprising" as used in the specification do not exclude the presence or addition of one or more other components, steps, operations and / or elements.

[0043] Before explaining this specification, let us clarify some terms used in this specification.

[0044] Hereinafter, some embodiments of the present disclosure will be described in detail with reference to the attached drawings.

[0045] FIGS. 1A and 1B are exemplary flowcharts illustrating a method of operation of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0046] Referring to FIGS. 1A and 1B, the operation of a real-time virtual sensor monitoring system of a multi-use facility according to some embodiments may be configured as a digital twin based on a reduced-order model.

[0047] A processing device (e.g., a computer) placed within a multi-use facility (a demonstration area) collects and transmits sensor measurement data to a building automation system (BAS) installed within the multi-use facility (a demonstration area) every cycle (e.g., every 15 minutes) (S10). The sensors may be, for example, temperature sensors, humidity sensors, and air flow sensors for air conditioning supply and ventilation.

[0048] In addition, a processing device (e.g., a computer, etc.) placed within a multi-use facility (test area) can continuously input user What-If data regarding the user's desired simulated AHU (Air Handling Unit) setting values ​​(e.g., supply air temperature and air volume, etc.) and transmit this to the building automatic control system (S12).

[0049] The Building Automation System (BAS) installed in a multi-use facility (test area) collects real-time sensor-sensed data, What-IF data, etc. (S20). It then stores and updates a real-time data database (S22).

[0050] Data received by the Building Automatic Control System (BAS) installed in a multi-use facility (demonstration area) can be used as real-time simulation boundary condition data after going through a preprocessing process that converts sensor data into boundary conditions within a range that does not affect the flow to improve calculation time and analysis convergence.

[0051] Data from a building automatic control system (BAS) installed in a multi-use facility (test area) is received in real time using a communication Python code (S30).

[0052] Thereafter, real-time sensor measurement data according to step S10 is received (S32). In addition, user What-IF data according to step S12 is received as input data (S34).

[0053] The data measured in step S32 goes through a preprocessing calculation process (S36).

[0054] Afterwards, the data according to steps S34 and S36 is transmitted to the input data Twin Builder. For example, at this time, the simulation boundary condition data is converted to binary data and transmitted to the commercial program ANSYS Twin Builder via TCP / IP communication.

[0055] Next, a digital twin system based on a reduced-order model is operated (S40). For example, the digital twin system can be built using a reduced-order model composed of computational fluid dynamics (CFD) results data. For example, this can be used to calculate temperature, velocity, and residence time at 451 points located at an elevation of 1.5 meters in an operating demonstration site based on real-time measurement data.

[0056] Additionally, if data is entered according to step S12, the virtual sensor What-IF is activated (S42). For example, a simulated simulation of the user's desired air conditioner settings applied under identical environmental conditions can calculate the temperature, speed, residence time, etc. at 451 points located at an elevation of 1.5 m in the demonstration site.

[0057] The data calculated through ANSYS Twin Builder is received as result data by the communication Python Code and transmitted to the server (S39).

[0058] Before conducting a real-time simulation, it's crucial to consider factors such as the number and resistance of air handling unit outlets (uniform intake), the interlocking effects of open spaces like the central hall, and heat generation from floating population. To achieve this, environmental measurement data collected from the BAS can be used to calculate simulation boundary conditions. AHU supply / return outlet boundary conditions can be defined based on operational AHU measurement data.

[0059] In addition, the indoor space of the demonstration site can be divided into, for example, 11 zones, and the heat generation for each zone can be calculated based on the representative temperature values ​​of the environmental sensors installed in each zone and the air conditioner data, and then used as boundary conditions.

[0060] To consider the chimney effect of the central hall, which is an open area, the temperature values ​​of the open area on the upper and lower floors of the demonstration site can be collected and used as boundary conditions.

[0061] When environmental sensor data used in calculating indoor boundary conditions is missing, boundary conditions can be utilized by applying sensor data from nearby sensors as replacement. This process displays error messages to help users identify problems and ensure the simulation runs smoothly.

[0062] As described above, the operation of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments can be configured as a digital twin based on a reduced-order model, thereby improving the accuracy of the flow analysis of sensor values ​​for a multi-use facility.

[0063] FIGS. 2A and 2B are exemplary block diagrams illustrating a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0064] Referring to FIGS. 2a and 2b, a block diagram is disclosed in which a reduced-order model (1) driven by the digital twin system of FIGS. 1a and 1b is driven in real time.

[0065] The reduced order model (1) includes an input section (10), a calculation section (20), a parameter generation section (30), and an output section (40).

[0066] The input unit (10) may include, for example, a block (100) for generating nth floor mth air conditioner supply / ventilation air volume measurement data, a block (102) for generating nth floor mth air conditioner supply / ventilation temperature measurement data, a block (104) for generating nth floor mth air conditioner supply / ventilation humidity measurement data, a block (106) for generating nth floor pth air conditioner supply / ventilation air volume measurement data, a block (108) for generating (n-1)th floor qth indoor temperature measurement data, a block (110) for generating (n-1)th floor rth indoor temperature measurement data, and a block (112) for generating nth floor mth air conditioner user arbitrary supply / ventilation air volume / temperature setting data.

[0067] Each piece of data generated in the input unit (10) is transmitted to the calculation unit (20).

[0068] The calculation unit (20) includes a preprocessing unit (200) and a simulation unit (250).

[0069] The preprocessing unit (200) includes a block (202) for collecting real-time data, a block (204) for collecting real-time measurement data within the real-time data, a block (206) for collecting user What-IF input data within the real-time data, a preprocessing calculation block (206), a reduced-order model input data generation block (210), and a Twin Builder transmission block (212).

[0070] The preprocessing unit (200) builds a reduced-order model composed of computational fluid dynamics (CFD) result data through a digital twin system, and through this, temperature, speed, residence time, and virtual sensor results at a user-specified location and number in an actual operating demonstration site can be calculated based on real-time measurement data.

[0071] Data calculated in the preprocessing unit (200) is transmitted to the simulation unit (250).

[0072] The simulation unit (250) includes a virtual sensor reduced order model block (252), a What-If reduced order model block (254), a PPD (Predicted Discomfort Index) RSM (Response Surface Methodology) block (256), a real-time virtual sensor result generation block (258), and a What-If virtual sensor and PPD change amount comparison block (260).

[0073] The calculation unit (20) calculates the temperature, speed, and residence time virtual sensor results at user-specified locations and numbers in a demonstration site through a simulated simulation when the user's desired air conditioner setting data is applied under identical environmental conditions. Furthermore, the efficiency of comfortable air conditioner operation can be improved by comparing the current operating air conditioner operation status with the PPD when the user's desired air conditioner setting data is applied.

[0074] The calculation unit (20) can receive parameters from the parameter generation unit (30). The parameter generation unit (30) includes an information generation block (300) for the volume [m^3] of the o-zone of the nth floor and a number generation block (310) for the number of supply / ventilation diffusers in the o-zone of the mth air conditioner on the nth floor. The parameter generation unit (30) can generate data dividing the entire space including the air conditioner into o-zones.

[0075] Data calculated in the calculation unit (20) are transmitted to the output unit (40).

[0076] The output section (40) includes a real-time virtual sensor temperature distribution generation block (400), a real-time virtual sensor airflow distribution block (402), a real-time virtual sensor residence time distribution block (404), a user-defined What-If temperature distribution block (406), a user-defined What-If airflow distribution block (408), a user-defined What-If residence time distribution block (410), and a user-defined What-If PPD change amount block (412) compared to the existing block.

[0077] As described above, the real-time virtual sensor monitoring system of a multi-use facility according to some embodiments can calculate the temperature, speed, residence time, etc. of the virtual sensor results of the user-specified location and number of actual operating demonstration sites based on real-time measurement data through a reduced-order model.

[0078] Figures 3a to 3c are exemplary parameter tables for explaining preprocessing calculations in the operating method of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments. Figure 4 is an exemplary block diagram for explaining a preprocessing device of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0079] Referring to FIGS. 3a to 3c and FIG. 4, prior to performing real-time simulations according to FIGS. 1a to 1b and 2a to 2b, environmental measurement data collected from BAS can be used to calculate and use simulation boundary conditions in order to consider the number of air conditioner outlets and resistance (uniform extraction), the chimney effect of open areas such as central halls, and heat generation due to floating population, in order to use the measurement data as simulation boundary conditions.

[0080] Figures 3a to 3c are tables that describe parameters used in preprocessing calculations.

[0081] The preprocessing device (2) of Fig. 4 includes an input data list block (50), a preprocessing calculation algorithm block (60), and an output data list block (70).

[0082] The input data list block (50) includes a sensor data list block (500) and a simulation-based data list block (502).

[0083] The output data list block (70) stores / updates the output values ​​obtained by performing a preprocessing calculation algorithm on the data of the input data list block (50) in a database.

[0084] At this time, prior to the boundary condition calculation process according to FIGS. 3a to 3c and FIG. 4, a task of determining whether there is a missing sensor is performed as shown in FIG. 5.

[0085] FIG. 5 is an exemplary flowchart for explaining a preprocessing operation in an operating method of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0086] Referring to FIGS. 3A to 3C to 5, measurement data is received (S100). Thereafter, setting data is generated based on the measurement data (S102). Thereafter, it is determined whether the measurement data is missing (S104). If true (True), it is determined whether the air conditioner measurement data or the indoor temperature measurement data is missing. If the air conditioner measurement data is missing, the default input value and the 'NoneValueError' error message are output (S116). Otherwise, if the indoor temperature measurement data is missing, it is determined whether all temperature data for each floor is missing (S106). If true (True), the default input value and the 'NoneValueError' error message are output (S116). If false (False) in step S106, the measurement data closest to the missing sensor is replaced (S108). Thereafter, the 'NoneValueWarning' error message is output. Thereafter, in order to utilize the adjacent temperature measurement data, the representative temperature value of zone o on the nth floor is set (S112). Afterwards, the representative temperatures of the (n-1) and (n+1) layers are set (S114).

[0087] If step S104 is not true (False), the process returns to step S112. After step S114, the process proceeds to step S200. Step S200 is described with reference to FIGS. 6a and 6b.

[0088] FIGS. 6A and 6B are exemplary flowcharts for explaining an algorithm of a preprocessing operation in an operating method of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments.

[0089] Referring to Figures 6a and 6b, the AHU mass flow is calculated according to Algorithm 1 (S202). Thereafter, the zone-specific AHU mass flow is divided according to Algorithm 2 (S204). Thereafter, the generated heat for each zone is calculated according to Algorithm 3 (S206). Thereafter, output data is generated (S208).

[0090] To improve the accuracy of simulation results, energy such as human heat and equipment heat must be reflected. In particular, human heat fluctuates significantly depending on the season, day, and hour due to the characteristics of multi-use facilities, so analysis must take this into account. The indoor load corresponding to the heat generated by the human body and equipment mentioned above can be calculated by calculating the heat output using real-time measured data on the air conditioner's supply air temperature, air volume, and indoor temperature. The calculated heat output can be calculated by assuming all loads, such as lighting, equipment, and human load, as air conditioning load. Furthermore, considering the variability of the indoor population, the indoor space of the demonstration site can be divided into o arbitrarily selected zones, and the heat output can be applied differently according to the representative measured temperature of each zone, thereby improving simulation accuracy.

[0091] Figure 7 is an exemplary diagram illustrating the uniform application of heat generation to the entire monitoring location area for the operation of a real-time virtual sensor monitoring system for a multi-use facility. Figure 8 is an exemplary diagram illustrating the temperature distribution according to Figure 7.

[0092] Referring to Figures 7 and 8, if the method of uniformly applying heat generation using air conditioning data and the average indoor temperature for the entire demonstration site is used, the overall heat load is estimated without considering the various temperature variations within the indoor space, resulting in reduced accuracy. Figure 8 shows the results of applying the overall heat generation using temperature virtual sensor data at a height of 2 m through simulation.

[0093] FIG. 9 is an exemplary diagram illustrating the operation of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments, in which the entire monitoring location area is divided into zones and the heat generation of each zone is uniformly applied. FIG. 10 is an exemplary diagram illustrating a temperature distribution according to FIG. 9.

[0094] Referring to Figures 9 and 10, to improve accuracy by considering various temperature changes within an indoor space, for example, the indoor environment is divided into eight zones, and the heat generation is applied based on the representative temperature values ​​of the environmental sensors adjacent to each zone and air conditioner data. Accordingly, Figure 10 shows the result of applying the total heat generation using the temperature virtual sensor data at a height of 2 m through simulation, and it can be confirmed that the temperature is maintained at a uniform and appropriate temperature.

[0095] Figure 11 is an exemplary table illustrating the accuracy of operation of a real-time virtual sensor monitoring system for a multi-use facility according to some embodiments. Figure 11 shows the measured temperature and simulation results (overall heating application simulation results, error, zoning heating application simulation results, error) for each zone (zones 1 to 8) by zone.

[0096] Referring to FIG. 11, the maximum error of the result of applying heating to the entire area according to FIGS. 7 and 8 is 15.5 percent, while the simulation applying heating by area according to FIGS. 9 and 10 according to some embodiments has an improved accuracy with a maximum error of about 3.8 percent.

[0097] Although the embodiments of the present disclosure have been described with reference to the attached drawings, those skilled in the art will appreciate that the present disclosure can be implemented in other specific forms without altering the technical spirit or essential features thereof. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of protection of the present disclosure should be interpreted by the claims below, and all technical ideas within a scope equivalent thereto should be interpreted as being included within the scope of the rights of the present disclosure.

Claims

1. An input unit that generates multiple air conditioner measurement data and multiple indoor environment measurement data within a multi-use facility; A calculation unit including a preprocessing unit that receives the plurality of air conditioner measurement data and the plurality of indoor environment measurement data and performs preprocessing, and a simulation unit that receives the preprocessed data through the preprocessing unit and performs simulation; A parameter generation unit that transmits information that divides the multi-use facility into o (o is a natural number) zones to the calculation unit; and Including an output section that receives the simulated results through the above calculation section and outputs a virtual sensor distribution, The above preprocessing unit, It includes a block for collecting real-time data through a sensor in the multi-use facility, a block for transmitting measurement data sensed every period within the real-time data to a building automatic control system, a block for transmitting input data for a simulated AHU setting value desired by a user within the real-time data to the building automatic control system, a block for preprocessing and calculating data of the block for transmitting the measured data sensed every period, a block for receiving preprocessed data and the simulated AHU setting value desired by the user through the preprocessing and calculating block and generating reduced-order model input data, and a block for transmitting the reduced-order model input data to Twin Builder. The above simulation part, A real-time virtual sensor monitoring system for a multi-use facility, comprising: a virtual sensor reduction order model block; a user-desired simulation AHU setting value reduction order model block; a block for generating real-time virtual sensor results through the virtual sensor reduction order model block; and a block for comparing a What-If virtual sensor change amount through the values ​​of the user-desired simulation AHU setting value reduction order model block.

2. In paragraph 1, The above simulation part, A real-time virtual sensor monitoring system for a multi-use facility further comprising a block for receiving data of the virtual sensor reduction order model block and generating a PPD RSM by receiving values ​​of the simulated AHU setting value reduction order model block desired by the user.

3. In paragraph 1, A real-time virtual sensor monitoring system for a multi-use facility where the above multiple air conditioner measurement data are supply or return air volume, temperature, and / or humidity.

4. In paragraph 1, The above multi-use facility is composed of n floors (n is a natural number), and each of the n floors includes an open area. The above multiple air conditioner measurement data is data measured through air conditioners included on the nth floor of a multi-use facility. The above multiple indoor environment measurement data is data measured by the pth (p is a natural number) sensor included in the nth floor of the multi-use facility. The above input unit is a real-time virtual sensor monitoring system of a multi-use facility that generates both indoor environmental measurement data included in the n-1 floor open section of the multi-use facility and indoor environmental measurement data included in the n+1 floor open section.

5. In paragraph 4, A real-time virtual sensor monitoring system for a multi-use facility that uses a sensor that generates the p-1th or p+1th indoor environment measurement data when the sensor that generates the indoor environment measurement data of the nth floor above is defective.

6. Transmit sensor measurement data to BAS every cycle through a processing device placed within a multi-use facility, The user transmits desired simulation AHU data to the BAS through a processing device placed within the above multi-use facility, The above BAS collects real-time data, stores and updates the real-time data DB, Receive the above stored and updated data through the communication Python Code, The above Python Code distinguishes between real-time sensor measurement data and the simulated AHU data desired by the user in the received data, performs preprocessing calculations on the real-time sensor measurement data, and transmits the data on which the preprocessing calculations were performed and the simulated AHU data desired by the user as input data of Twin Builder. The above Twin Builder is a method of operating a real-time virtual sensor monitoring system of a multi-use facility that includes performing a reduced-order model through a digital twin system using a reduced-order model.

7. In paragraph 6, The above Twin Builder is a method of operation of a real-time virtual sensor monitoring system for a multi-use facility, which is ANSYS Twin Builder.

8. In paragraph 6, The above Twin Builder is a method of operating a real-time virtual sensor monitoring system of a multi-use facility that builds the reduced-order model composed of computational fluid dynamics (CFD) result data.

9. In paragraph 6, A method of operating a real-time virtual sensor monitoring system for a multi-use facility, in which data from the above communication Python Code to the above Twin Builder is converted into binary data and transmitted via TCP / IP communication.

10. In paragraph 6, The above Twin Builder is a method of operating a real-time virtual sensor monitoring system for a multi-use facility, which further includes performing a reduced-order model through a digital twin system using a reduced-order model and generating a virtual sensor What-If value generated through the simulated AHU data desired by the user.

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