Central air conditioning control method and system based on digital twinning and electronic equipment

Abstract

The present disclosure relates to a central air conditioning control method and system based on digital twinning, and an electronic device. The method comprises: collecting target parameters corresponding to a target building, wherein the target parameters represent the performance of the heating and ventilation system of the target building and the personnel flow situation; constructing a three-dimensional digital twinning model corresponding to the target building according to the target parameters, and determining a personnel flow change prediction function after time t and at time t in the target building based on the three-dimensional digital twinning model; determining the air conditioning parameters of the central air conditioner at time t in the target building according to the target parameters and the personnel flow change prediction function, and adjusting the operating state of the central air conditioner at time t according to the air conditioning parameters at time t. Through the embodiments of the present disclosure, the personnel flow change in different areas can be predicted before the personnel flow change in the target building, the central air conditioner can be adjusted in advance, the temperature fluctuation in the target building can be reduced, the comfort can be improved, and the heating and ventilation energy consumption of the target building can be reduced.

Description

Technical Field

[0001] This disclosure relates to the field of energy-saving control technology for large public buildings, and in particular to a central air conditioning control method, system and electronic equipment based on digital twins. Background Technology

[0002] Existing central air conditioning control methods typically employ cameras for precise detection of the number and density of people, or use carbon dioxide detection methods to roughly estimate the number and density of people, thus linking the control of the central air conditioning system to the flow of people. However, in large buildings, a large number of cameras need to be installed according to the air conditioning zones, which is costly, has low counting accuracy, and raises privacy concerns, while also increasing the building's total energy consumption. On the other hand, due to the lag in cooling and the time delay in thermal equilibrium, adjusting the operation of the central air conditioning system only after detecting changes in the number and density of people will still cause temperature fluctuations within the building, affecting the energy-saving effect of the central air conditioning system. Summary of the Invention

[0003] In view of this, this disclosure proposes a technical solution for a central air conditioning control method, system, and electronic equipment based on digital twins.

[0004] According to one aspect of this disclosure, a central air conditioning control method based on digital twins is provided, comprising: collecting target parameters corresponding to a target building, wherein the target parameters represent the performance of the HVAC system and the flow of people in the target building; constructing a three-dimensional digital twin model of the target building based on the target parameters, and determining a prediction function for the change in people flow in the target building at time t and after time t based on the three-dimensional digital twin model; determining the air conditioning parameters of the central air conditioning system in the target building at time t based on the target parameters and the prediction function for the change in people flow, and adjusting the operating state of the central air conditioning system at time t based on the air conditioning parameters at time t.

[0005] In one possible implementation, the target parameters include: spatial parameters and operational process parameters corresponding to the target building, wherein the spatial parameters represent the spatial volume of the target building, and the operational process parameters represent the flow of people within the target building; the step of constructing a three-dimensional digital twin model corresponding to the target building based on the target parameters, and determining a prediction function for the change in pedestrian flow within the target building at time t and after time t based on the three-dimensional digital twin model, includes: constructing the three-dimensional digital twin model based on the spatial parameters and the operational process parameters; and determining the prediction function for the change in pedestrian flow by simulating the changes in people in different areas of the target building based on the three-dimensional digital twin model.

[0006] In one possible implementation, when the central air conditioning system includes a fresh air system, the air conditioning parameters at time t include: the fresh air volume at time t and the air conditioning cooling power at time t; the step of determining the air conditioning parameters of the central air conditioning system in the target building at time t based on the target parameters and the population flow change prediction function, and adjusting the operating state of the central air conditioning system at time t based on the air conditioning parameters at time t, includes: determining the fresh air volume at time t and the air conditioning cooling power at time t based on the target parameters and the population flow change prediction function; adjusting the fresh air volume and total air volume of the central air conditioning system at time t based on the fresh air volume at time t and the air conditioning cooling power at time t; and adjusting the air outlet temperature of the central air conditioning system at time t based on the air conditioning cooling power at time t.

[0007] In one possible implementation, the target parameter further includes: fresh air demand; determining the fresh air volume at time t based on the target parameter and the pedestrian flow change prediction function includes: determining the fresh air volume at time t+t within the target building based on the pedestrian flow change prediction function. b Real-time prediction of pedestrian flow, where t b This indicates the delay time for the transfer of fresh air volume; based on the stated t+t b The amount of fresh air at time t is determined by predicting the flow of people and the demand for fresh air.

[0008] In one possible implementation, the target parameters further include: the heat dissipation function of the surrounding structure and the heat dissipation function of indoor equipment at time t and after time t within the target building; determining the air conditioning cooling power at time t based on the target parameters and the predicted pedestrian flow includes: determining the t+t value within the target building based on the heat dissipation function of the surrounding structure. a The heat dissipation is predicted by the furnace surrounding structure at any given time, where t a This represents the heat transfer delay time; based on the heat dissipation function of the indoor equipment, determine t+t within the target building. a Predict heat dissipation from indoor equipment at any given time; determine t+t within the target building. a Predict human body heat dissipation at all times and determine the fresh air cooling load in the target building at time t; based on t+t a The predicted heat dissipation of the furnace enclosure structure at any given time, the aforementioned t+t a Predicted heat dissipation of indoor equipment at time t+t a The system continuously predicts human body heat dissipation, the fresh air cooling load at time t, and the measured and set temperatures of the target building at time t, and determines the air conditioning cooling power at time t.

[0009] In one possible implementation, when the central air conditioning system does not include a fresh air system, the air conditioning parameters at time t include: the air conditioning cooling power at time t; the step of determining the air conditioning parameters of the central air conditioning system in the target building at time t based on the target parameters and the population flow change prediction function, and adjusting the operating state of the central air conditioning system at time t based on the air conditioning parameters at time t, includes: determining the air conditioning cooling power at time t based on the target parameters and the population flow change prediction function; and adjusting the air volume and air temperature of the central air conditioning system at time t based on the air conditioning cooling power at time t.

[0010] In one possible implementation, the target parameters further include: the heat dissipation function of the surrounding structure and the heat dissipation function of indoor equipment at time t and after time t within the target building; determining the air conditioning cooling power at time t based on the target parameters and the predicted pedestrian flow includes: determining the t+t value within the target building based on the heat dissipation function of the surrounding structure. a The heat dissipation is predicted by the furnace surrounding structure at any given time, where t a This represents the heat transfer delay time; based on the heat dissipation function of the indoor equipment, determine t+t within the target building. a Predict heat dissipation from indoor equipment at any given time; determine t+t within the target building. a Predict the amount of heat dissipated by the human body at all times; based on the t+t... a The predicted heat dissipation of the furnace enclosure structure at any given time, the aforementioned t+t a Predicted heat dissipation of indoor equipment at time t+t a The system predicts human body heat dissipation at all times, and determines the air conditioning cooling power at time t by taking into account the measured temperature and set temperature of the target building at time t.

[0011] In one possible implementation, the target parameter further includes: a human body heat dissipation reference value; and the determination of t+t within the target building. a Real-time prediction of human body heat dissipation includes: determining t+t within the target building based on the predicted human traffic flow data. a Predict pedestrian flow in real time; based on the t+t... a Based on real-time prediction of pedestrian flow and the reference value of human body heat dissipation, determine the t+t value. a It can predict the amount of heat dissipated by the human body in real time.

[0012] In one possible implementation, determining the fresh air cooling load at time t within the target building includes: determining a first enthalpy value within the target building and a second enthalpy value outside the target building; and determining the fresh air cooling load at time t based on the fresh air volume at time t, the first enthalpy value, and the second enthalpy value.

[0013] According to another aspect of this disclosure, a digital twin-based central air conditioning control system is provided, comprising: a data acquisition unit for acquiring target parameters corresponding to a target building, wherein the target parameters represent the HVAC system performance and personnel flow of the target building; a digital simulation unit for constructing a three-dimensional digital twin model of the target building based on the target parameters, and determining a prediction function for the change in personnel flow at time t and after time t within the target building based on the three-dimensional digital twin model; and a central air conditioning control unit for determining the air conditioning parameters of the central air conditioning system at time t within the target building based on the target parameters and the prediction function for the change in personnel flow, and adjusting the operating state of the central air conditioning system at time t based on the air conditioning parameters at time t.

[0014] According to another aspect of this disclosure, an electronic device is provided, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to implement the above-described method when executing instructions stored in the memory.

[0015] According to another aspect of this disclosure, a non-volatile computer-readable storage medium is provided that stores computer program instructions thereon, wherein the computer program instructions, when executed by a processor, implement the above-described method.

[0016] In this embodiment, target parameters corresponding to the target building can be collected, where the target parameters represent the performance of the HVAC system and the flow of people in the target building. Based on the target parameters, a three-dimensional digital twin model of the target building can be constructed, and a prediction function for the change in people flow at time t and after time t can be determined based on the three-dimensional digital twin model. This allows for the prediction of the number and density of people in each area of ​​the target building before the actual change in people flow occurs. Based on the target parameters and the prediction function for the change in people flow, the air conditioning parameters of the central air conditioning system in the target building at time t can be determined, and the operating status of the central air conditioning system at time t can be adjusted according to the air conditioning parameters at time t. This enables advance control of the central air conditioning system, which can reduce temperature fluctuations in the target building and reduce the HVAC energy consumption of the target building while improving comfort.

[0017] Other features and aspects of this disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0018] The accompanying drawings, which are included in and form part of this specification, illustrate exemplary embodiments, features, and aspects of this disclosure together with the specification and serve to explain the principles of this disclosure.

[0019] Figure 1A flowchart illustrating a central air conditioning control method based on digital twins according to an embodiment of the present disclosure is shown.

[0020] Figure 2 This diagram illustrates a flowchart of an ophthalmic disease visit according to an embodiment of the present disclosure;

[0021] Figure 3 A schematic diagram illustrating a prediction function for changes in visitor flow corresponding to a registration area according to an embodiment of the present disclosure is shown.

[0022] Figure 4 A schematic diagram is shown of a function for predicting changes in pedestrian flow corresponding to a waiting area according to an embodiment of the present disclosure;

[0023] Figure 5 A schematic diagram illustrating a patient flow change prediction function corresponding to a ward area 1 according to an embodiment of the present disclosure is shown.

[0024] Figure 6 A schematic diagram illustrating a patient flow change prediction function corresponding to a ward area 2 according to an embodiment of the present disclosure is shown.

[0025] Figure 7 A schematic diagram showing the fresh air volume corresponding to a registration area according to an embodiment of the present disclosure;

[0026] Figure 8 A schematic diagram showing the fresh air volume corresponding to a detection waiting area according to an embodiment of the present disclosure;

[0027] Figure 9 A schematic diagram showing the fresh air volume corresponding to a ward area 1 according to an embodiment of the present disclosure is shown.

[0028] Figure 10 A schematic diagram showing the fresh air volume corresponding to a ward area 2 according to an embodiment of the present disclosure is shown;

[0029] Figure 11 This diagram illustrates the change of outdoor temperature over time at the exterior of a target building according to an embodiment of the present disclosure.

[0030] Figure 12 A schematic diagram showing the air conditioning cooling power corresponding to a registration area according to an embodiment of the present disclosure;

[0031] Figure 13 A schematic diagram showing the air conditioning cooling power corresponding to a detection waiting area according to an embodiment of the present disclosure;

[0032] Figure 14 A schematic diagram showing the air conditioning cooling power corresponding to a ward area 1 according to an embodiment of the present disclosure;

[0033] Figure 15A schematic diagram showing the air conditioning cooling capacity corresponding to a ward area 2 according to an embodiment of the present disclosure is provided.

[0034] Figure 16 A block diagram of a digital twin-based central air conditioning control system according to an embodiment of the present disclosure is shown.

[0035] Figure 17 A block diagram of an electronic device according to an embodiment of the present disclosure is shown. Detailed Implementation

[0036] Various exemplary embodiments, features, and aspects of this disclosure will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0037] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0038] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0039] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.

[0040] Under the national "dual carbon" target, constructing green buildings and achieving energy conservation and emission reduction in buildings is of paramount importance. Heating, ventilation, and air conditioning (HVAC) constitutes a major portion of energy consumption in large public buildings. Taking a large hospital as an example, the energy consumption of its air conditioning and heating systems accounts for nearly half of the hospital's total energy consumption. Therefore, reducing HVAC energy consumption in buildings is one of the key tasks in achieving energy conservation and emission reduction in buildings.

[0041] Linking the control of HVAC systems to pedestrian traffic enables digital dynamic regulation of the system, achieving excellent energy-saving results. Current technologies estimate the total cooling load of air-conditioned rooms in a target building, determine the air supply volume based on the total cooling load area, and then, in conjunction with an intelligent control system, formulate an air supply plan. This plan automatically adjusts the air volume according to the indoor and outdoor temperatures and occupancy density of the target building, thereby reducing energy waste in the HVAC system.

[0042] While this method can reduce the energy consumption of central air conditioning, it requires the use of hardware devices such as cameras to detect the number and density of people in the target building. When the target building is large, a large number of cameras need to be configured according to the air conditioning zones of the target building. The hardware device is expensive, has low counting accuracy, and will increase the energy consumption of the target building.

[0043] On the other hand, existing central air conditioning control methods typically control the central air conditioning system only after determining changes in the real-time number of people or population density within the target building. Because air conditioning cooling has a hysteresis and heat transfer also has a certain delay, using this method to control the central air conditioning system will still cause temperature fluctuations within the target building, thereby reducing the overall energy-saving effect.

[0044] The digital twin-based central air conditioning control method disclosed herein can predict real-time changes in the number of people and their density in a target building before actual changes occur, based on a digital twin model. This allows for advance regulation of the central air conditioning system, reducing temperature fluctuations within the target building and improving comfort while lowering HVAC energy consumption. The digital twin-based central air conditioning control method provided in this disclosure will be described in detail below.

[0045] Figure 1 A flowchart illustrating a central air conditioning control method based on digital twins according to an embodiment of this disclosure is shown. Figure 1 As shown, this digital twin-based central air conditioning control method can be executed by electronic devices such as terminal devices or servers. Terminal devices can be user equipment (UE), mobile devices, user terminals, terminals, cellular phones, cordless phones, personal digital assistants (PDAs), handheld devices, computing devices, in-vehicle devices, wearable devices, etc. This digital twin-based central air conditioning control method can be implemented by a processor calling computer-readable instructions stored in memory. Alternatively, it can be executed by a server. Figure 1 As shown, the digital twin-based central air conditioning control method includes:

[0046] In step S11, target parameters corresponding to the target building are collected, where the target parameters represent the performance of the HVAC system and the flow of people in the target building.

[0047] The target buildings here refer to large public buildings that use central air conditioning systems to regulate indoor temperature. These systems can be flexibly configured according to actual usage needs. For example, they could be hospitals, subway stations, shopping malls, etc. This disclosure does not make any specific limitations on them.

[0048] By collecting target parameters corresponding to the target building, the performance of the building's HVAC system and the flow of people can be determined. The specific content of these target parameters can be flexibly set according to actual usage needs. For example, they may include spatial parameters corresponding to the target building, heat dissipation functions of the surrounding structure, heat dissipation functions of indoor equipment, ventilation requirements per person, real-time indoor temperature, and operational process parameters.

[0049] The specific method for collecting target parameters depends on the specific form of the target parameters. For example, when the target parameter is a spatial parameter, the spatial parameter corresponding to the target building can be determined based on the building floor plan of the target building. Or, when the target parameter is the heat dissipation function of the surrounding structure, statistical methods can be used to determine the heat dissipation function of the surrounding structure of the target building based on historical and real-time detection data. This disclosure does not make any specific limitations on this.

[0050] In step S12, a three-dimensional digital twin model of the target building is constructed based on the target parameters, and a prediction function for the change in pedestrian flow at time t and after time t is determined based on the three-dimensional digital twin model.

[0051] Based on the target parameters, a three-dimensional digital twin model of the target building can be constructed. Through the three-dimensional digital twin model, the real-time operation of the target building and the dynamic changes in indoor thermal conditions can be simulated.

[0052] Based on a three-dimensional digital twin model, a predictive function for pedestrian flow changes at time t and after time t within a target building can be determined. This pedestrian flow prediction function represents the change in the number of people and / or population density in each area of ​​the target building over time, both at and after time t. This allows for the determination of predicted pedestrian flow data before actual changes occur within the target building, serving as a crucial basis for proactive control of the central air conditioning system. The specific form of the pedestrian flow prediction function can be flexibly set according to actual usage requirements; for example, it can be a graph, etc., and this disclosure does not impose specific limitations on it.

[0053] The following sections will describe in detail the process of constructing a three-dimensional digital twin model of the target building based on the target parameters, and determining the prediction function for the change in pedestrian flow at time t and after time t within the target building based on the three-dimensional digital twin model, in conjunction with the possible implementation methods disclosed herein. These details will not be elaborated upon here.

[0054] In step S13, the air conditioning parameters of the central air conditioning in the target building at time t are determined based on the target parameters and the prediction function of changes in pedestrian flow, and the operating status of the central air conditioning at time t is adjusted according to the air conditioning parameters at time t.

[0055] Based on the target parameters and the prediction function for changes in pedestrian traffic, the air conditioning parameters of the central air conditioning system within the target building at time t can be determined. The specific content of the air conditioning parameters at time t can be flexibly set according to actual usage needs. For example, it may include the cooling or heating power of the central air conditioning system, the fresh air volume, etc., and this disclosure does not impose specific limitations on this.

[0056] Based on the air conditioning parameters at time t, the operating status of the central air conditioning in the target building can be adjusted at time t. This allows for adaptive dynamic adjustment of the central air conditioning before actual changes occur in the flow of people in the target building, reducing temperature fluctuations within the target building. Consequently, the comfort level in the target building can be improved while reducing the building's HVAC energy consumption.

[0057] The following text will describe in detail the process of determining the air conditioning parameters of the central air conditioning in the target building at time t based on the target parameters and the prediction function of changes in pedestrian flow, and adjusting the operating status of the central air conditioning at time t based on the air conditioning parameters at time t. This will not be elaborated here.

[0058] In this embodiment, target parameters corresponding to the target building can be collected, where the target parameters represent the performance of the HVAC system and the flow of people in the target building. Based on the target parameters, a three-dimensional digital twin model of the target building can be constructed, and a prediction function for the change in people flow at time t and after time t can be determined based on the three-dimensional digital twin model. This allows for the prediction of the number and density of people in each area of ​​the target building before the actual change in people flow occurs. Based on the target parameters and the prediction function for the change in people flow, the air conditioning parameters of the central air conditioning system in the target building at time t can be determined, and the operating status of the central air conditioning system at time t can be adjusted according to the air conditioning parameters at time t. This enables advance control of the central air conditioning system, which can reduce temperature fluctuations in the target building and reduce the HVAC energy consumption of the target building while improving comfort.

[0059] In one possible implementation, the target parameters include: spatial parameters and operational process parameters corresponding to the target building, where the spatial parameters represent the spatial volume of the target building, and the operational process parameters represent the flow of people within the target building; based on the target parameters, a three-dimensional digital twin model corresponding to the target building is constructed, and a prediction function for the change in pedestrian flow within the target building at time t and after time t is determined based on the three-dimensional digital twin model, including: constructing a three-dimensional digital twin model based on the spatial parameters and operational process parameters; and determining the prediction function for the change in pedestrian flow by simulating the changes in people in different areas of the target building based on the three-dimensional digital twin model.

[0060] The target parameters corresponding to the target building may include: spatial parameters and operational process parameters. The spatial parameters can represent the spatial volume of the target building. The specific content of the spatial parameters can be flexibly set according to actual usage needs; for example, it may include the building floor plan, the zoning of the target building, and the volume of each zone, etc., which are not specifically limited in this disclosure.

[0061] Other parameters that affect the internal heat distribution and changes of the target building, such as the building's building envelope, the number and location of its ventilation openings, are considered as immutable parameters and their impact is not taken into account because they do not change with the flow of people and / or the density of people in the target building.

[0062] The operational process parameters corresponding to the target building can represent the flow of people within the target building. The specific content of the operational process parameters can be flexibly set according to actual usage needs. For example, it can include the arrival parameters of people in each area of ​​the target building in the operational process, the number of servers in each operational link of the operational process, the service time parameters corresponding to each operational link of the operational process, the transfer parameters and transfer probabilities between different operational links in the operational process, etc. This disclosure does not make specific limitations on these parameters.

[0063] Based on the spatial parameters corresponding to the target building, a three-dimensional spatial model of the target building can be constructed. This model represents the spatial structure and shape of the target building, the division of different areas within the building, and the volume and shape of each area. Furthermore, based on the operational process parameters of the target building, the actual operation of the target building can be simulated within the three-dimensional spatial model, thus determining the corresponding three-dimensional digital twin model. The specific method for determining the three-dimensional digital twin model can refer to implementation methods in related technologies, such as using relevant simulation platforms for simulation design; this disclosure does not impose specific limitations on this method.

[0064] Based on the three-dimensional digital twin model of the target building, the changes in people in different areas of the target building can be simulated, and the prediction function for changes in pedestrian flow within the target building can be determined.

[0065] In one example, the target building is an eye hospital, and the main operational activities within the target building are the diagnosis and treatment of eye diseases.

[0066] Figure 2 A flowchart illustrating an ophthalmic disease visit according to an embodiment of this disclosure is shown. Figure 2 As shown, the ophthalmology visit process can include registration, eye exam, queuing for a consultation, consultation, payment, waiting for examination, eye examination, eye treatment and hospitalization arrangements, and waiting for family members. The eye examination process can also include fitting glasses, CT scans and other examinations.

[0067] According to the ophthalmology consultation process, an ophthalmology hospital can be divided into several different areas, such as registration area, optometry area, consultation queuing area, consultation area, payment area, testing waiting area, examination area, treatment room area, inpatient department area, ward area, and family waiting area.

[0068] After constructing a 3D digital twin model of the ophthalmology hospital, the changes in personnel in different areas of the target building can be simulated based on the 3D digital twin model, and prediction functions for the changes in passenger flow in different areas of the ophthalmology hospital can be determined. The prediction function for the changes in passenger flow in any area can represent the changes in passenger flow in that area over time.

[0069] Figure 3 This diagram illustrates a prediction function for changes in visitor flow corresponding to a registration area according to an embodiment of the present disclosure. Figure 3 As shown, the prediction function for changes in pedestrian flow in the registration area can represent the changes in pedestrian flow in the registration area over time.

[0070] Figure 4 This diagram illustrates a function for predicting changes in pedestrian flow corresponding to a waiting area, according to an embodiment of the present disclosure. Figure 4 As shown, the prediction function for changes in pedestrian flow in the detection waiting area can represent the changes in pedestrian flow in the detection waiting area over time.

[0071] Figure 5 This diagram illustrates a prediction function for patient flow changes in a ward area 1 according to an embodiment of the present disclosure. Figure 5 As shown, the prediction function for the change in patient flow in ward area 1 can represent the change in patient flow in ward area 1 over time.

[0072] Figure 6A schematic diagram illustrating a patient flow change prediction function corresponding to a ward area 2 according to an embodiment of the present disclosure is shown. Figure 6 As shown, the prediction function for the change in patient flow in ward area 2 can represent the change in patient flow in ward area 2 over time.

[0073] By constructing a three-dimensional digital twin model of the target building using its spatial parameters and operational process data, and then determining a prediction function for pedestrian flow changes based on the three-dimensional digital twin model, the number of people and / or changes in pedestrian density in the target building can be predicted before actual pedestrian flow changes occur, without the need to constantly collect data on the number of people in the target building. This reduces reliance on camera equipment and lowers equipment costs.

[0074] In one possible implementation, when the central air conditioning system includes a fresh air system, the air conditioning parameters at time t include: the fresh air volume at time t and the air conditioning cooling power at time t. Based on the target parameters and a prediction function of changes in pedestrian traffic, the air conditioning parameters of the central air conditioning system within the target building at time t are determined, and the operating status of the central air conditioning system at time t is adjusted according to these parameters. This includes: determining the fresh air volume at time t and the air conditioning cooling power at time t based on the target parameters and the prediction function of changes in pedestrian traffic; adjusting the fresh air volume and total air volume of the central air conditioning system at time t based on the fresh air volume at time t and the air conditioning cooling power at time t; and adjusting the outlet air temperature of the central air conditioning system at time t based on the air conditioning cooling power at time t.

[0075] When the central air conditioning system of the target building includes a fresh air system, in addition to temperature regulation, the central air conditioning system also needs to introduce fresh outdoor air into the target building through the fresh air system. In this case, the air conditioning parameters at time t can include: the fresh air volume at time t and the air conditioning cooling power at time t. The fresh air volume at time t represents the amount of fresh air (m³ / s) that the central air conditioning system needs to introduce from the outside of the target building into the interior of the target building at time t. 3 / h); The air conditioning cooling power at time t can represent the cooling capacity (kW / W) that the central air conditioning system needs to produce at time t.

[0076] Based on the target parameters and the prediction function for changes in pedestrian traffic, the cooling load of the target building at time t can be predicted, and the fresh air volume and air conditioning cooling power at time t can be determined respectively.

[0077] In addition to introducing fresh outdoor air, central air conditioning systems also need to process the indoor air of the target building through return air circulation. Therefore, the fresh air volume and total air volume of the central air conditioning system at time t can be adjusted based on the fresh air volume and cooling power of the central air conditioning system at time t.

[0078] Based on the air conditioning cooling power at time t, the cooling efficiency of the central air conditioning system can be adjusted, and the air outlet temperature of the central air conditioning system at time t can be adjusted to maintain the dynamic temperature balance inside the target building.

[0079] In one possible implementation, the target parameters also include: fresh air demand; determining the fresh air volume at time t based on the target parameters and the pedestrian flow change prediction function, including: determining the fresh air volume at time t+t within the target building based on the pedestrian flow change prediction function. b Real-time prediction of pedestrian flow, where t b This indicates the delay time for the transfer of fresh air volume; based on t+t b Predict the flow of people and the demand for fresh air in real time to determine the amount of fresh air at time t.

[0080] When the central air conditioning system of the target building includes a fresh air system, the target parameters for the target building can also include the fresh air demand. Specifically, the fresh air demand can take different values ​​depending on the amount of people.

[0081] In one example, for area A within the target building, when the number of people in area A is 0 to 10, the corresponding fresh air demand for area A is 400m³. 3 / h; When the number of people in area A is 10 to 20, the corresponding fresh air demand for area A is 800m³ / h. 3 / h; When the number of people in area A is greater than 20, the fresh air demand for area A is 1200m³ / h. 3 / h.

[0082] For any area within the target building, at time t, the fresh air drawn in from the outside by the central air conditioning system will not immediately diffuse to every location within that area. Instead, depending on the spatial structure, shape, and volume of that area, there will be a corresponding fresh air delivery delay time t. b Therefore, the fresh air volume of a central air conditioning system at time t is actually to meet the requirements of t+t. b The parameters are determined based on the fresh air requirements of the target building at any given time.

[0083] When the central air conditioning system of the target building includes a fresh air system, the t+t value within the target building can be determined based on the occupancy change prediction function. b Predict pedestrian flow in real time; then based on t+t b Predict the flow of people and the demand for fresh air in real time to determine the amount of fresh air at time t.

[0084] Taking the aforementioned target building as an ophthalmology hospital as an example, with the central air conditioning system of the ophthalmology hospital including a fresh air system, after simulating the prediction function of the change in pedestrian traffic in different areas of the target building based on a three-dimensional digital twin model, the change in the required fresh air volume of each area over time can be obtained through the simulation platform based on parameters such as fresh air demand.

[0085] Figure 7 A schematic diagram showing the fresh air volume corresponding to a registration area according to an embodiment of the present disclosure is provided. Figure 7 As shown, the fresh air volume corresponding to the registration area is expressed as a function of time, with a maximum of 800m³. 3 / h.

[0086] Figure 8 A schematic diagram showing the fresh air volume corresponding to a detection waiting area according to an embodiment of the present disclosure is provided. Figure 8 As shown, the fresh air volume corresponding to the detection waiting area is expressed as a function of time, with a maximum of 1200m³. 3 / h.

[0087] Figure 9 A schematic diagram showing the fresh air volume corresponding to a ward area 1 according to an embodiment of the present disclosure is provided. Figure 9 As shown, the fresh air volume corresponding to ward area 1 is expressed as a function that varies with time, with a maximum of 150m³. 3 / h.

[0088] Figure 10 A schematic diagram showing the fresh air volume corresponding to a ward area 2 according to an embodiment of the present disclosure is provided. Figure 10 As shown, the fresh air volume corresponding to ward area 2 is expressed as a function that varies with time, with a maximum of 150m³. 3 / h.

[0089] Through the above process, the fresh air volume of the central air conditioning system can be adjusted in advance based on the predicted flow of people before the actual change in the flow of people in the target building. This can improve the comfort of the target building and reduce energy waste caused by changes in the fresh air volume required by different areas of the target building.

[0090] In one possible implementation, the target parameters further include: the heat dissipation function of the surrounding structure and the heat dissipation function of indoor equipment within the target building at time t and after time t; and determining the air conditioning cooling power at time t based on the target parameters and the predicted function of pedestrian flow changes, including: determining the cooling power at time t+t within the target building based on the heat dissipation function of the surrounding structure. a The heat dissipation is predicted by the furnace surrounding structure at any given time, where t a Indicates the heat transfer delay time; based on the heat dissipation function of indoor equipment, determine t+t within the target building. aPredict heat dissipation from indoor equipment at any given time; determine t+t within the target building. a Predict human body heat dissipation at all times and determine the fresh air cooling load in the target building at time t; based on t+t a Predicted heat dissipation of the furnace enclosure structure at any time, t+t a Predicted heat dissipation of indoor equipment at any time, t+t a The system predicts human body heat dissipation, fresh air cooling load at time t, and the measured and set temperatures of the target building at time t to determine the air conditioning cooling power at time t.

[0091] The target parameters corresponding to the target building may also include: the heat dissipation function of the surrounding structure and the heat dissipation function of indoor equipment within the target building at time t and after time t. The heat dissipation function of the surrounding structure at time t and after time t can represent the change in heat transfer of the walls, doors, windows, and other structures enclosing the target building space over time. The specific form of the heat dissipation function can be flexibly set according to actual usage requirements; for example, it can be a graph, etc., and this disclosure does not impose specific limitations on it.

[0092] The heat dissipation function of indoor equipment in the target building at time t and after time t can represent the change in heat transfer of all indoor equipment in the target building over time. The specific content of the indoor equipment depends on the actual situation of the target building; for example, it may include lighting fixtures, medical testing equipment, etc., and this disclosure does not specifically limit it.

[0093] In addition to the heat transfer from the surrounding structure and indoor equipment, the cooling load within the target building also includes heat dissipation from human bodies within the building.

[0094] If the central air conditioning system of the target building includes a fresh air system, the introduction of fresh air by the fresh air system will also result in a fresh air cooling load due to the temperature difference between the indoor and outdoor areas of the target building.

[0095] According to t+t a Predicted heat dissipation of the furnace enclosure structure at any time, t+t a Predicted heat dissipation of indoor equipment at any time, t+t a By predicting human body heat dissipation, fresh air cooling load at time t, and the measured and set temperatures of the target building at time t, the air conditioning cooling power at time t can be determined.

[0096] When the central air conditioning system of the target building includes a fresh air system, the air conditioning cooling power at time t can be expressed as formula (1):

[0097]

[0098] Among them, Q a(t) represents the air conditioning cooling power at time t for any area in the target building; q p (t+t a ) represents the t+t corresponding to this region. a Continuously predict the body's heat dissipation; q w (t+t a ) represents the t+t corresponding to this region. a Predicting heat dissipation based on the furnace enclosure structure; q f (t+t a ) represents the t+t corresponding to this region. a Predicted heat dissipation of indoor equipment at any time; q v (t) represents the fresh air cooling load at time t corresponding to this region; ρ represents the air density; C represents the specific heat capacity of the air; V represents the space volume corresponding to this region; T setup T(t) represents the set temperature of the central air conditioning system at time t; T(t) represents the real-time temperature of the corresponding area at time t.

[0099] As can be seen from the above, the air conditioning cooling power Q at time t is... a (t) can also be expressed as a function that changes over time.

[0100] Once the air conditioning cooling power at time t is determined for any area in the target building, the central air conditioning system for that area can be controlled in stages based on the air conditioning cooling power at time t. This avoids frequent adjustments to the central air conditioning system's operation when the air conditioning cooling power changes little or fluctuates significantly, which could affect the lifespan of the central air conditioning system.

[0101] In one example, when the air conditioning cooling power of region A at time t is greater than 10000W and less than 15000W, the air conditioning cooling power of the central air conditioning system corresponding to region A is controlled at 10000W; when the air conditioning cooling power of region A at time t is greater than 15000W and less than 20000W, the air conditioning cooling power of the central air conditioning system corresponding to region A is controlled at 15000W; when the air conditioning cooling power of region A at time t is greater than or equal to 20000W, the air conditioning cooling power of the central air conditioning system corresponding to region A is controlled at 20000W.

[0102] Taking the aforementioned target building as an ophthalmology hospital as an example, assuming the central air conditioning system of the ophthalmology hospital includes a fresh air system, the air conditioning cooling capacity corresponding to any area within the ophthalmology hospital can be determined through the above process.

[0103] Figure 11 This diagram illustrates the change of outdoor temperature over time at the exterior of a target building according to an embodiment of the present disclosure. Figure 11As shown, the outdoor temperature outside the target building changes in real time and reaches its highest value of 34°C between approximately 17:00 and 18:00.

[0104] Figure 12 A schematic diagram showing the air conditioning cooling capacity corresponding to a registration area according to an embodiment of the present disclosure is provided. Figure 12 As shown, the air conditioning cooling power corresponding to the registration area is expressed as a function that changes over time, with a maximum value of 20000W.

[0105] Figure 13 A schematic diagram showing the air conditioning cooling power corresponding to a detection waiting area according to an embodiment of the present disclosure is provided. Figure 13 As shown, the air conditioning cooling power corresponding to the detection waiting area is expressed as a function that changes over time, with a maximum value of 25000W.

[0106] Figure 14 A schematic diagram showing the air conditioning cooling capacity corresponding to a ward area 1 according to an embodiment of the present disclosure is provided. Figure 14 As shown, the air conditioning cooling power corresponding to ward area 1 is expressed as a function that varies with time, with a maximum value of 1500W.

[0107] Figure 15 A schematic diagram showing the air conditioning cooling capacity corresponding to a ward area 2 according to an embodiment of the present disclosure is provided. Figure 15 As shown, the air conditioning cooling power corresponding to ward area 2 is expressed as a function that varies with time, with a maximum value of 1500W.

[0108] Through the above process, the cooling load of the central air conditioning in the target building at time t is divided into t+t. a Predicted heat dissipation of the furnace enclosure structure at any time, t+t a Predicted heat dissipation of indoor equipment at any time, t+t a The system predicts four components: human body heat dissipation, fresh air cooling load at time t, and predicts each of the four cooling loads to determine the cooling power of the central air conditioning system at time t. This enables dynamic adjustment of the central air conditioning system, ensuring a relatively stable indoor temperature in the target building and avoiding drastic fluctuations in indoor temperature that could lead to excessive cooling by the central air conditioning system, thereby reducing the HVAC energy consumption of the target building.

[0109] In one possible implementation, when the central air conditioning system does not include a fresh air system, the air conditioning parameters at time t include: the air conditioning cooling power at time t; determining the air conditioning parameters of the central air conditioning system in the target building at time t based on the target parameters and the prediction function of changes in pedestrian traffic, and adjusting the operating status of the central air conditioning system at time t based on the air conditioning parameters at time t, including: determining the air conditioning cooling power at time t based on the target parameters and the prediction function of changes in pedestrian traffic; and adjusting the air volume and air temperature of the central air conditioning system at time t based on the air conditioning cooling power at time t.

[0110] When the central air conditioning system does not include a fresh air system, the central air conditioning system of the target building is only used to regulate the indoor temperature of the target building. In this case, the air conditioning parameters at time t include the air conditioning cooling power at time t.

[0111] Based on the target parameters and the prediction function for changes in pedestrian traffic, the cooling load of the target building at time t can be predicted, the cooling power of the central air conditioning at time t can be determined, and the air volume and temperature of the central air conditioning at time t can be adjusted according to the cooling power at time t.

[0112] In one possible implementation, the target parameters further include: the heat dissipation function of the surrounding structure and the heat dissipation function of indoor equipment within the target building at time t and after time t; and determining the air conditioning cooling power at time t based on the target parameters and the predicted function of pedestrian flow changes, including: determining the cooling power at time t+t within the target building based on the heat dissipation function of the surrounding structure. a The heat dissipation is predicted by the furnace surrounding structure at any given time, where t a Indicates the heat transfer delay time; based on the heat dissipation function of indoor equipment, determine t+t within the target building. a Predict heat dissipation from indoor equipment at any given time; determine t+t within the target building. a Predict the amount of heat dissipated by the human body in real time; based on t+t a Predicted heat dissipation of the furnace enclosure structure at any time, t+t a Predicted heat dissipation of indoor equipment at any time, t+t a The system continuously predicts human body heat dissipation, the measured temperature and set temperature of the target building at time t, and determines the air conditioning cooling power at time t.

[0113] In the case that the central air conditioning system of the target building does not include a fresh air system, the cooling load in the target building only includes the heat transfer from the surrounding structure, the heat transfer from indoor equipment, and the heat dissipation from people in the target building. In this case, the air conditioning cooling power at time t can be expressed as formula (2):

[0114]

[0115] In one possible implementation, the target parameters also include a human body heat dissipation reference value; determining t+t within the target building. a Real-time prediction of human body heat dissipation, including: determining t+t within the target building based on predicted data of changes in human traffic. a Real-time prediction of pedestrian flow; based on t+t a Continuously predict pedestrian flow and human body heat dissipation reference values ​​to determine t+t. a It can predict the amount of heat dissipated by the human body in real time.

[0116] Human body heat dissipation reference values ​​can represent the amount of heat dissipated by a person in any area of ​​a target building under different pedestrian traffic ranges. Predicted human body heat dissipation can be expressed as a linear function of pedestrian traffic.

[0117] In one example, a reference value for human body heat dissipation can be determined based on the sensible and latent heat dissipation of a single person, combined with the t+t value within the target building. a Continuous prediction of pedestrian flow, construction of a linear function, and determination of t+t within the target building. a Continuously predict the body's heat dissipation. t+t a The constant prediction of human body heat dissipation can be expressed as formula (3):

[0118] q p (t+t a )=(q psh +q plh )×NP pred (t+t a (3)

[0119] Where, q psh q represents the sensible heat dissipation of a single person's body; plh Indicates the latent heat dissipation of a single person's body; NP pred (t+t a ) represents t+t corresponding to any region within the target building. a Real-time prediction of pedestrian flow; where q psh and q plh The specific value can be set according to actual usage requirements. For example, q can be set. psh +q plh The value can be 100W, or it can be estimated based on the actual situation of the target building, etc. This disclosure does not make specific limitations in this regard.

[0120] Based on the predicted data of changes in pedestrian traffic, the predicted heat dissipation of different areas can be determined before the actual changes in the number of people and / or the density of people in different areas of the target building occur, thereby enabling targeted dynamic adjustments to the central air conditioning system.

[0121] In one possible implementation, determining the fresh air cooling load at time t within the target building includes: determining the corresponding first enthalpy value inside the target building and the corresponding second enthalpy value outside the target building; and determining the fresh air cooling load at time t based on the fresh air volume at time t, the first enthalpy value, and the second enthalpy value.

[0122] When the target building's central air conditioning system includes a fresh air system, the introduction of fresh air into the building will also result in cooling load demand due to the temperature difference between the indoor and outdoor areas. However, the return air from the central air conditioning system only circulates within the building and therefore does not generate additional cooling load demand.

[0123] To determine the cooling load brought about by the fresh air volume, a first enthalpy value corresponding to the interior of the target building and a second enthalpy value corresponding to the exterior of the target building can be determined separately. The first enthalpy value can represent the total heat content of the air inside the target building, and the second enthalpy value can represent the total heat content of the air outside the target building. The specific methods for determining the first and second enthalpy values ​​can be referred to in related technical embodiments, and this disclosure does not specifically limit them.

[0124] Based on the fresh air volume, the first enthalpy, and the second enthalpy at time t, the fresh air cooling load at time t can be determined. The fresh air cooling load at time t can be expressed as formula (4):

[0125] q v (t)=(h out -h in )×Newwind(t) (4)

[0126] Among them, h in Indicates the first enthalpy value within the target building; h out This represents the second enthalpy value corresponding to the target building.

[0127] Through the above process, the cooling load demand caused by the introduced fresh air can be determined in real time, and the central air conditioning can be adjusted accordingly to reduce temperature fluctuations caused by fresh air volume and improve the comfort of the target building.

[0128] In this embodiment, target parameters corresponding to the target building can be collected, where the target parameters represent the performance of the HVAC system and the flow of people in the target building. Based on the target parameters, a three-dimensional digital twin model of the target building can be constructed, and a prediction function for the change in people flow at time t and after time t can be determined based on the three-dimensional digital twin model. This allows for the prediction of the number and density of people in each area of ​​the target building before the actual change in people flow occurs. Based on the target parameters and the prediction function for the change in people flow, the air conditioning parameters of the central air conditioning system in the target building at time t can be determined, and the operating status of the central air conditioning system at time t can be adjusted according to the air conditioning parameters at time t. This enables advance control of the central air conditioning system, reduces temperature fluctuations in the target building, improves comfort, and reduces the HVAC energy consumption of the target building. Furthermore, it reduces the dependence on camera equipment, thereby reducing hardware costs.

[0129] It is understood that the various method embodiments mentioned above in this disclosure can be combined with each other to form combined embodiments without violating the principle and logic. Due to space limitations, this disclosure will not elaborate further. Those skilled in the art will understand that in the above methods of specific implementation, the specific execution order of each step should be determined by its function and possible internal logic.

[0130] In addition, this disclosure also provides a digital twin-based central air conditioning control system, electronic equipment, computer-readable storage medium, and program. All of the above can be used to implement any of the digital twin-based central air conditioning control methods provided in this disclosure. The corresponding technical solutions and descriptions are described in the corresponding descriptions in the method section and will not be repeated here.

[0131] Figure 16 A block diagram of a digital twin-based central air conditioning control system according to an embodiment of the present disclosure is shown. Figure 16 As shown, system 1600 includes:

[0132] The data acquisition unit 1601 is used to collect target parameters corresponding to the target building, wherein the target parameters represent the performance of the HVAC system and the flow of people in the target building;

[0133] The digital simulation unit 1602 is used to construct a three-dimensional digital twin model of the target building based on the target parameters, and to determine the prediction function of the change in pedestrian flow at time t and after time t in the target building based on the three-dimensional digital twin model.

[0134] The central air conditioning control unit 1603 is used to determine the air conditioning parameters of the central air conditioning in the target building at time t based on the target parameters and the prediction function of changes in pedestrian flow, and to adjust the operating status of the central air conditioning at time t based on the air conditioning parameters at time t.

[0135] In one possible implementation, the target parameters include: spatial parameters and operational process parameters corresponding to the target building, wherein the spatial parameters represent the spatial volume of the target building, and the operational process parameters represent the flow of people within the target building;

[0136] The digital simulation unit 1602 is also used to: construct a three-dimensional digital twin model based on spatial parameters and operational process parameters; and determine a prediction function for changes in pedestrian flow by simulating changes in personnel in different areas of the target building based on the three-dimensional digital twin model.

[0137] In one possible implementation, when the central air conditioning system includes a fresh air system, the air conditioning parameters at time t include: the fresh air volume at time t and the air conditioning cooling power at time t.

[0138] The central air conditioning control unit 1603 is also used to: determine the fresh air volume and air conditioning cooling power at time t based on the target parameters and the prediction function of changes in passenger flow; adjust the fresh air volume and total air volume of the central air conditioning at time t based on the fresh air volume and air conditioning cooling power at time t; and adjust the air outlet temperature of the central air conditioning at time t based on the air conditioning cooling power at time t.

[0139] In one possible implementation, the target parameter also includes: fresh air demand;

[0140] The central air conditioning control unit 1603 is also used to: determine t+t within the target building based on the pedestrian flow change prediction function. b Real-time prediction of pedestrian flow, where t b This indicates the delay time for the transfer of fresh air volume; based on t+t b Predict the flow of people and the demand for fresh air in real time to determine the amount of fresh air at time t.

[0141] In one possible implementation, the target parameters also include: the heat dissipation function of the surrounding structure and the heat dissipation function of the indoor equipment at time t and after time t within the target building;

[0142] The central air conditioning control unit 1603 is also used to: determine t+t within the target building based on the heat dissipation function of the surrounding structure. a The heat dissipation is predicted by the furnace surrounding structure at any given time, where t a Indicates the heat transfer delay time; based on the heat dissipation function of indoor equipment, determine t+t within the target building. a Predict heat dissipation from indoor equipment at any given time; determine t+t within the target building. a Predict human body heat dissipation at all times and determine the fresh air cooling load in the target building at time t; based on t+t a Predicted heat dissipation of the furnace enclosure structure at any time, t+t a Predicted heat dissipation of indoor equipment at any time, t+t a The system predicts human body heat dissipation, fresh air cooling load at time t, and the measured and set temperatures of the target building at time t to determine the air conditioning cooling power at time t.

[0143] In one possible implementation, when the central air conditioning system does not include a fresh air system, the air conditioning parameters at time t include: the air conditioning cooling power at time t;

[0144] The central air conditioning control unit 1603 is also used to: determine the air conditioning cooling power at time t based on the target parameters and the prediction function of changes in passenger flow; and adjust the air volume and air temperature of the central air conditioning at time t based on the air conditioning cooling power at time t.

[0145] In one possible implementation, the target parameters also include: the heat dissipation function of the surrounding structure and the heat dissipation function of the indoor equipment at time t and after time t within the target building;

[0146] The central air conditioning control unit 1603 is also used to: determine t+t within the target building based on the heat dissipation function of the surrounding structure. a The heat dissipation is predicted by the furnace surrounding structure at any given time, where t a Indicates the heat transfer delay time; based on the heat dissipation function of indoor equipment, determine t+t within the target building.a Predict heat dissipation from indoor equipment at any given time; determine t+t within the target building. a Predict the amount of heat dissipated by the human body in real time; based on t+t a Predicted heat dissipation of the furnace enclosure structure at any time, t+t a Predicted heat dissipation of indoor equipment at any time, t+t a The system continuously predicts human body heat dissipation, the measured temperature and set temperature of the target building at time t, and determines the air conditioning cooling power at time t.

[0147] In one possible implementation, the target parameters also include: a human body heat dissipation reference value; the central air conditioning control unit 1603 is also used to: determine t+t within the target building based on the predicted data of changes in human traffic flow. a Real-time prediction of pedestrian flow; based on t+t a Real-time forecasting of pedestrian flow to determine t+t a It can predict the amount of heat dissipated by the human body in real time.

[0148] In one possible implementation, the central air conditioning control unit 1603 is further configured to: determine the first enthalpy value inside the target building and the second enthalpy value outside the target building; and determine the fresh air cooling load at time t based on the fresh air volume at time t, the first enthalpy value, and the second enthalpy value.

[0149] In some embodiments, the system provided in this disclosure may have functions or include modules that can be used to execute the methods described in the above method embodiments. The specific implementation of these methods can be referred to the description in the above method embodiments, and for the sake of brevity, they will not be repeated here.

[0150] This disclosure also proposes a computer-readable storage medium storing computer program instructions that, when executed by a processor, implement the above-described method. The computer-readable storage medium can be volatile or non-volatile.

[0151] This disclosure also proposes an electronic device, including: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to implement the above method when executing the instructions stored in the memory.

[0152] Electronic devices can be provided as terminals, servers, or other forms of devices.

[0153] Figure 17 A block diagram of an electronic device according to an embodiment of the present disclosure is shown. (Refer to...) Figure 17 Device 1900 can be provided as a server or terminal device. (See reference...) Figure 17The apparatus 1900 includes a processing component 1922, which further includes one or more processors, and memory resources represented by memory 1932 for storing instructions, such as application programs, that can be executed by the processing component 1922. The application programs stored in memory 1932 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 1922 is configured to execute instructions to perform the methods described above.

[0154] Device 1900 may also include a power supply component 1926 configured to perform power management of device 1900, a wired or wireless network interface 1950 configured to connect device 1900 to a network, and an input / output interface 1958 (I / O interface). Device 1900 can operate on an operating system, such as Windows Server, stored in memory 1932. TM macOS X TM Unix TM Linux TM FreeBSD TM Or similar.

[0155] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions that can be executed by a processing component 1922 of the device 1900 to perform the above-described method.

[0156] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0157] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination thereof. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0158] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0159] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0160] Various aspects of this disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0161] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0162] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0163] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0164] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A central air conditioning control method based on digital twin, characterized in that, include: Collect target parameters corresponding to the target building, wherein the target parameters represent the performance of the HVAC system and the flow of people in the target building; Based on the target parameters, a three-dimensional digital twin model of the target building is constructed, and a prediction function for the change in pedestrian flow at time t and after time t is determined based on the three-dimensional digital twin model. Based on the target parameters and the traffic flow change prediction function, determine the air conditioning parameters of the central air conditioning in the target building at time t, and adjust the operating status of the central air conditioning at time t according to the air conditioning parameters at time t. The target parameters include: spatial parameters and operational process parameters corresponding to the target building, wherein the spatial parameters represent the spatial volume of the target building, and the operational process parameters represent the personnel flow within the target building; The step of constructing a three-dimensional digital twin model of the target building based on the target parameters, and determining a prediction function for the change in pedestrian flow within the target building at time t and after time t based on the three-dimensional digital twin model, includes: The three-dimensional digital twin model is constructed based on the spatial parameters and the operational process parameters. Based on the three-dimensional digital twin model, the pedestrian flow change prediction function is determined by simulating the changes in personnel in different areas of the target building; When the central air conditioning system includes a fresh air system, the air conditioning parameters at time t include: the fresh air volume at time t and the air conditioning cooling power at time t. The target parameters also include: the fresh air demand, the heat dissipation function of the surrounding structure at time t and after time t, and the heat dissipation function of the indoor equipment in the target building. The step of determining the air conditioning parameters of the central air conditioning system in the target building at time t based on the target parameters and the pedestrian flow change prediction function, and adjusting the operating status of the central air conditioning system at time t based on the air conditioning parameters at time t, includes: Based on the aforementioned pedestrian flow change prediction function, determine t+t within the target building. b Real-time prediction of pedestrian flow, where t b Indicates the delay time for the delivery of fresh air; According to t+t b The system continuously predicts the flow of people and the demand for fresh air, and determines the amount of fresh air at time t. Based on the heat dissipation function of the furnace structure, determine t+t within the target building. a The heat dissipation is predicted by the furnace surrounding structure at any given time, where t a Indicates the delay time of heat transfer; Based on the heat dissipation function of the indoor equipment, determine t+t within the target building. a Predicted heat dissipation of indoor equipment at any time; Determine t+t within the target building a The system continuously predicts the heat dissipation of the human body and determines the fresh air cooling load at time t within the target building. According to t+t a The predicted heat dissipation of the furnace enclosure structure at any given time, and the aforementioned t+t a Predicted heat dissipation of indoor equipment at time t+t a The system predicts human body heat dissipation, fresh air cooling load at time t, and the measured and set temperatures of the target building at time t to determine the air conditioning cooling power at time t. Based on the fresh air volume at time t and the air conditioning cooling power at time t, adjust the fresh air volume and total air output of the central air conditioning system at time t. The air outlet temperature of the central air conditioner at time t is adjusted according to the air conditioner's cooling power at time t.

2. The method according to claim 1, characterized in that, When the central air conditioning system does not include a fresh air system, the air conditioning parameters at time t include: the air conditioning cooling power at time t; The step of determining the air conditioning parameters of the central air conditioning system in the target building at time t based on the target parameters and the pedestrian flow change prediction function, and adjusting the operating status of the central air conditioning system at time t based on the air conditioning parameters at time t, includes: The air conditioning cooling power at time t is determined based on the target parameters and the population flow change prediction function. Based on the air conditioning cooling power at time t, adjust the air volume and air temperature of the central air conditioning at time t. The target parameters also include: the heat dissipation function of the surrounding structure and the heat dissipation function of indoor equipment at time t and after time t within the target building, and the human body heat dissipation reference value; The step of determining the air conditioning cooling power at time t based on the target parameters and the traffic flow change prediction function includes: Based on the heat dissipation function of the furnace structure, determine t+t within the target building. a The heat dissipation is predicted by the furnace surrounding structure at any given time, where t a Indicates the delay time of heat transfer; Based on the heat dissipation function of the indoor equipment, determine t+t within the target building. a Predicted heat dissipation of indoor equipment at any time; Determine t+t within the target building a It can constantly predict the amount of heat dissipated by the human body. According to t+t a The predicted heat dissipation of the furnace enclosure structure at any given time, and the aforementioned t+t a Predicted heat dissipation of indoor equipment at time t+t a The system continuously predicts human body heat dissipation, the measured temperature and set temperature of the target building at time t, and determines the air conditioning cooling power at time t. The determination of t+t within the target building a Real-time prediction of human body heat dissipation, including: Based on the predicted data of changes in pedestrian traffic, determine t+t within the target building. a Real-time prediction of pedestrian flow; According to t+t a Based on real-time prediction of pedestrian flow and the reference value of human body heat dissipation, determine the t+t value. a It can predict the amount of heat dissipated by the human body in real time.

3. The method according to claim 1, characterized in that, Determining the fresh air cooling load at time t within the target building includes: Determine the first enthalpy value inside the target building and the second enthalpy value outside the target building, respectively; The fresh air cooling load at time t is determined based on the fresh air volume at time t, the first enthalpy value, and the second enthalpy value.

4. A central air conditioning control system based on digital twin, characterized in that, include: A data acquisition unit is used to collect target parameters corresponding to the target building, wherein the target parameters represent the performance of the HVAC system and the flow of people in the target building; The digital simulation unit is used to construct a three-dimensional digital twin model of the target building based on the target parameters, and to determine the prediction function of the change in pedestrian flow at time t and after time t in the target building based on the three-dimensional digital twin model. The central air conditioning control unit is used to determine the air conditioning parameters of the central air conditioning in the target building at time t based on the target parameters and the human flow change prediction function, and to adjust the operating status of the central air conditioning at time t based on the air conditioning parameters at time t. The target parameters include: spatial parameters and operational process parameters corresponding to the target building, wherein the spatial parameters represent the spatial volume of the target building, and the operational process parameters represent the flow of people within the target building; The digital simulation unit is also used for: The three-dimensional digital twin model is constructed based on the spatial parameters and the operational process parameters. Based on the three-dimensional digital twin model, the pedestrian flow change prediction function is determined by simulating the changes in personnel in different areas of the target building; When the central air conditioning system includes a fresh air system, the air conditioning parameters at time t include: the fresh air volume at time t and the air conditioning cooling power at time t. The target parameters also include: the fresh air demand, the heat dissipation function of the surrounding structure at time t and after time t, and the heat dissipation function of the indoor equipment in the target building. The central air conditioning control unit is also used for: Based on the aforementioned pedestrian flow change prediction function, determine t+t within the target building. b Real-time prediction of pedestrian flow, where t b Indicates the delay time for the delivery of fresh air; According to t+t b The system continuously predicts the flow of people and the demand for fresh air, and determines the amount of fresh air at time t. Based on the heat dissipation function of the furnace structure, determine t+t within the target building. a The heat dissipation is predicted by the furnace surrounding structure at any given time, where t a Indicates the delay time of heat transfer; Based on the heat dissipation function of the indoor equipment, determine t+t within the target building. a Predicted heat dissipation of indoor equipment at any time; Determine t+t within the target building a The system continuously predicts the heat dissipation of the human body and determines the fresh air cooling load at time t within the target building. According to t+t a The predicted heat dissipation of the furnace enclosure structure at any given time, and the aforementioned t+t a Predicted heat dissipation of indoor equipment at time t+t a The system predicts human body heat dissipation, fresh air cooling load at time t, and the measured and set temperatures of the target building at time t to determine the air conditioning cooling power at time t. Based on the fresh air volume at time t and the air conditioning cooling power at time t, adjust the fresh air volume and total air output of the central air conditioning system at time t. The air outlet temperature of the central air conditioner at time t is adjusted according to the air conditioner's cooling power at time t.

5. An electronic device, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured to implement the method of any one of claims 1 to 3 when executing instructions stored in the memory.

6. A non-volatile computer-readable storage medium storing computer program instructions thereon, characterized in that, When the computer program instructions are executed by the processor, they implement the method described in any one of claims 1 to 3.

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