Local space regulation and control method based on real-time airflow simulation

Abstract

The invention discloses a local space regulation and control method based on real-time airflow simulation, and the method comprises the steps: 1) monitoring indoor environment information, and shooting a real-time three-dimensional image; 2) reconstructing an indoor real-time three-dimensional model; 3) carrying out importance degree division on the indoor area; 4) retrieving whether a corresponding optimal control strategy exists in a database, if so, entering step 9), and otherwise, entering step 5); 5) constructing an airflow simulation model; 6) performing airflow simulation on the airflow simulation model to obtain a preliminary airflow simulation result; 7) formulating a plurality of basic control strategies; (8) the air conditioner operation states under different control strategies are introduced into the airflow simulation model for airflow simulation, and the optimal control strategy is selected; 9) executing the optimal control strategy, and monitoring the executed indoor environment information; 10) judging whether the executed indoor environment information exceeds a threshold range or not, and if so, returning to the step 1); and if not, storing the data into a database. The regulation and control accuracy is improved, and invalid operation of the air conditioner is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental regulation, and particularly to a local space regulation method based on real-time airflow simulation. Background Art

[0002] The indoor thermal comfort directly affects the physical and mental health and work efficiency of people. Some rooms in buildings have the characteristics of similar structures and heat load laws. There are a large number of such rooms in these buildings, and wall-mounted air conditioners are mostly used, resulting in many thermal environment problems in use.

[0003] On the one hand, the existing air conditioner control strategies cannot well cope with the changes in the target area to be created and the changes in the attributes of the created area, requiring frequent manual operations and having ineffective regulation phenomena. On the other hand, due to uneven indoor temperature, dead angles in air conditioner air supply, and different personal daily activity laws, the existing air conditioner control strategies cannot cope with the changes in indoor layout and cannot adapt to the problem of the difference in the real-time demand for air conditioners by different users in the same space.

[0004] The existing technology uses multiple cameras to collect indoor image data and establish a three-dimensional model and conduct airflow analysis. It is only applicable to the establishment of a three-dimensional model of static objects and cannot reflect the work and rest laws of people. At the same time, the existing technology only simulates the indoor airflow, cannot comprehensively analyze indoor environmental parameters such as temperature, humidity, and air quality, and lacks corresponding real-time regulation means. Summary of the Invention

[0005] The purpose of the present invention is to provide a local space regulation method based on real-time airflow simulation, including the following steps:

[0006] 1) Arrange a sensor and camera array indoors.

[0007] 2) Use the sensor to monitor the indoor environmental information, and use the camera to take a real-time three-dimensional image of the indoor area reflecting the personnel activity information.

[0008] 3) Based on the real-time three-dimensional image of the indoor area and the indoor environmental information, reconstruct a real-time three-dimensional model of the indoor area with environmental information.

[0009] 4) Based on the historical personnel activity laws and the personnel positions in the real-time three-dimensional model of the indoor area, divide the areas in the building to be regulated according to the degree of importance.

[0010] 5) Retrieve in the database whether there is a control strategy corresponding to the current indoor environmental information. If so, use this control strategy as the optimal control strategy and enter step 10); otherwise, enter step 6).

[0011] 6) Based on the indoor environmental information, construct a real-time airflow simulation model.

[0012] 7) Perform real-time airflow simulation on the airflow simulation model based on the indoor environment information to obtain preliminary airflow simulation results.

[0013] 8) Develop multiple basic control strategies based on the regional importance degree and the preliminary airflow simulation results.

[0014] 9) Introduce the air-conditioning operating states under different control strategies into the airflow simulation model for airflow simulation, and take the control strategy with the optimal simulation effect as the optimal control strategy.

[0015] 10) Execute the optimal control strategy and monitor the real-time indoor environment information after execution.

[0016] 11) Determine whether the real-time indoor environment information after executing the optimal control strategy exceeds the preset threshold range. If so, return to step 6). If not, store the indoor environment information and the corresponding optimal control strategy in the building to be regulated in the database.

[0017] Further, the position and quantity of the sensors are determined according to the symmetry in the building to be regulated.

[0018] Further, the position and quantity of the cameras are determined according to the layout in the building to be regulated.

[0019] Further, the indoor environment information includes indoor temperature, humidity, and wind speed.

[0020] Further, the steps for reconstructing the indoor real-time three-dimensional model with environmental information are as follows:

[0021] 2.1) Identify the indoor real-time three-dimensional image to obtain the current building geometric parameters and personnel activity information. The building geometric parameters include building geometric dimensions, the dimensions and positions of indoor furnishings. The personnel activity information includes the number of indoor personnel and their locations.

[0022] 2.2) Compare the current building geometric parameters with the pre-stored building geometric parameters in the database to obtain changes in indoor furnishings, and update the pre-stored indoor real-time three-dimensional image according to the changes in indoor furnishings.

[0023] 2.3) Write the real-time environmental information and indoor personnel activity information into the indoor real-time three-dimensional image.

[0024] Further, the preliminary airflow simulation results include the indoor temperature field, humidity field, PMV value, and PPD value.

[0025] The PMV value refers to the Predicted Mean Vote.

[0026] The PPD value refers to the Predicted Percentage of Dissatisfied.

[0027] Further, the steps of constructing the real-time airflow simulation model are as follows:

[0028] 6.1) Obtain historical indoor environment information, calculate the corresponding temperature field, humidity field, PMV value, and PPD value, and construct a training set and a test set.

[0029] 6.2) Construct an airflow simulation model.

[0030] 6.3) Use the training set to train the airflow simulation model to obtain a trained airflow simulation model.

[0031] 6.4) Input the indoor environment information of the test set into the trained airflow simulation model to obtain an airflow simulation result.

[0032] 6.5) Cross-validate the airflow simulation result and the temperature field, humidity field, PMV value, and PPD value in the test set through a machine learning method to obtain a validation result.

[0033] 6.6) Determine whether the validation result exceeds a preset threshold range. If so, correct the trained airflow simulation model and return to step 6.4). If not, obtain the real-time airflow simulation model.

[0034] Further, the basic control strategy includes setting the positions of the air-conditioning air outlets and inlets, adjusting the air volume, adjusting the air direction, and adjusting the temperature.

[0035] Further, the sensor includes a multi-functional measuring instrument.

[0036] Further, the device for executing the optimal control strategy includes an air conditioner.

[0037] The technical effects of the present invention are beyond doubt. The present invention proposes a local space regulation method based on real-time airflow simulation, which uses a camera device, sensors, a central control unit, and an air conditioner, and uses three-dimensional modeling, airflow simulation, and intelligent control methods to change the air supply mode, air supply parameters, and start-stop time of the air conditioner in real time according to actual needs, so as to realize the optimal adjustment of the indoor environment and improve the comfort level.

[0038] The present invention is based on a camera device and sensors to identify people and some temperature points, simulate and calculate the indoor environment field and the change of the indoor space layout, and then use real-time airflow simulation to obtain an optimal regulation strategy, and adopt the corresponding regulation strategy to accurately and efficiently regulate the indoor environment.

[0039] The present invention determines a local space regulation method based on real-time airflow simulation, which uses three-dimensional modeling technology, indoor airflow field simulation, artificial intelligence and other technologies to solve the problems of inaccurate indoor environment regulation and single regulation strategy, and realizes the environmental optimization of the local space through real-time airflow simulation and the division of the degree of importance of the area.

[0040] The present invention determines a local space regulation method based on real-time airflow simulation. When the indoor space layout changes, a three-dimensional model of the indoor layout after the change is established through a camera device and a central processor, and the movement rules and locations of people are monitored.

[0041] The present invention determines a local space regulation method based on real-time airflow simulation. After the central control unit receives various environmental parameters measured by sensors and determines that the air conditioner needs to be turned on for environmental regulation, the central control unit simulates the current indoor airflow to determine the indoor flow field distribution and temperature distribution, reducing the layout of measurement points.

[0042] The present invention determines a local space regulation method based on real-time airflow simulation. In the selection of regulation strategies, the central control unit will perform airflow simulation on the airflow generated by the operation of the air conditioner under different control strategies again, and select the optimal regulation strategy according to the results, improving the regulation accuracy and reducing the ineffective operation of the air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the existing airflow simulation method;

[0044] Figure 2 It is an operation logic diagram of a local space regulation method based on real-time airflow simulation;

[0045] Figure 3 It is a three-dimensional model construction logic diagram of a local space regulation method based on real-time airflow simulation. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The present invention will be further described below in conjunction with embodiments, but it should not be understood that the above-mentioned subject scope of the present invention is limited to the following embodiments. Without departing from the above-mentioned technical idea of the present invention, various substitutions and changes made according to the common general knowledge and customary means in the art should be included within the protection scope of the present invention.

[0047] Embodiment 1:

[0048] See Figures 1 to 3 , a local space regulation method based on real-time airflow simulation, comprising the following steps:

[0049] 1) Arrange a sensor and camera array indoors.

[0050] 2) Use the sensor to monitor the indoor environmental information, and use the camera to take real-time three-dimensional images of the indoor that reflect the movement information of people.

[0051] 3) Based on the real-time three-dimensional images of the indoor and the indoor environmental information, reconstruct the real-time three-dimensional model of the indoor with environmental information.

[0052] 4) Based on the historical patterns of personnel activities and the positions of personnel in the indoor real-time 3D model, divide the areas in the building to be regulated according to their importance levels.

[0053] 5) Retrieve in the database whether there is a control strategy corresponding to the current indoor environmental information. If so, use this control strategy as the optimal control strategy and proceed to step 10). Otherwise, proceed to step 6).

[0054] 6) Based on the indoor environmental information, construct a real-time airflow simulation model.

[0055] 7) Conduct real-time airflow simulation on the airflow simulation model based on the indoor environmental information to obtain preliminary airflow simulation results.

[0056] 8) Develop multiple basic control strategies based on the regional importance levels and the preliminary airflow simulation results.

[0057] 9) Introduce the air-conditioning operation states under different control strategies into the airflow simulation model for airflow simulation, and use the control strategy with the optimal simulation effect as the optimal control strategy.

[0058] 10) Execute the optimal control strategy and monitor the real-time indoor environmental information after execution.

[0059] 11) Determine whether the real-time indoor environmental information after executing the optimal control strategy exceeds the preset threshold range. If so, return to step 6). If not, store the indoor environmental information and the corresponding optimal control strategy in the building to be regulated in the database.

[0060] Embodiment 2:

[0061] A local space regulation method based on real-time airflow simulation, the main technical content of which is shown in Embodiment 1. Further, the positions and quantities of the sensors are determined according to the symmetry in the building to be regulated.

[0062] Embodiment 3:

[0063] A local space regulation method based on real-time airflow simulation, the main technical content of which is shown in any one of Embodiments 1 to 2. Further, the positions and quantities of the cameras are determined according to the layout in the building to be regulated.

[0064] Embodiment 4:

[0065] A local space regulation method based on real-time airflow simulation, the main technical content of which is shown in any one of Embodiments 1 to 3. Further, the indoor environmental information includes indoor temperature, humidity, and wind speed.

[0066] Embodiment 5:

[0067] A local space regulation method based on real-time airflow simulation. The main technical content can be found in any one of Embodiments 1 to 4. Further, the steps for reconstructing the indoor real-time three-dimensional model with environmental information are as follows:

[0068] 2.1) Identify the indoor real-time three-dimensional image to obtain the current building geometric parameters and personnel activity information. The building geometric parameters include the building geometric dimensions, the dimensions and positions of the indoor furnishings. The personnel activity information includes the number of indoor personnel and their locations.

[0069] 2.2) Compare the current building geometric parameters with the pre-stored building geometric parameters in the database to obtain changes in the indoor furnishings, and update the pre-stored indoor real-time three-dimensional image according to the changes in the indoor furnishings.

[0070] 2.3) Write the real-time environmental information and indoor personnel activity information into the indoor real-time three-dimensional image.

[0071] Embodiment 6:

[0072] A local space regulation method based on real-time airflow simulation. The main technical content can be found in any one of Embodiments 1 to 5. Further, the preliminary airflow simulation results include the indoor temperature field, humidity field, PMV value, and PPD value.

[0073] The PMV value refers to the Predicted Mean Vote.

[0074] The PPD value refers to the Percentage of People Dissatisfied.

[0075] Embodiment 7:

[0076] A local space regulation method based on real-time airflow simulation. The main technical content can be found in any one of Embodiments 1 to 6. Further, the steps for constructing the real-time airflow simulation model are as follows:

[0077] 6.1) Obtain the historical indoor environmental information, and calculate the corresponding temperature field, humidity field, PMV value, and PPD value to construct a training set and a test set.

[0078] 6.2) Construct the airflow simulation model.

[0079] 6.3) Use the training set to train the airflow simulation model to obtain a trained airflow simulation model.

[0080] 6.4) Input the indoor environmental information of the test set into the trained airflow simulation model to obtain the airflow simulation results.

[0081] 6.5) Through machine learning methods, cross-validate the airflow simulation results with the temperature field, humidity field, PMV value, and PPD value in the test set to obtain the validation results.

[0082] 6.6) Determine whether the verification result exceeds the preset threshold range. If so, correct the trained air flow simulation model and return to step 6.4). If not, obtain the real-time air flow simulation model.

[0083] Example 8:

[0084] A local space regulation method based on real-time air flow simulation. The main technical content is as described in any one of Examples 1 to 7. Further, the basic control strategy includes setting the positions of the air-conditioning air outlets and inlets, adjusting the air volume, adjusting the air direction, and adjusting the temperature.

[0085] Example 9:

[0086] A local space regulation method based on real-time air flow simulation. The main technical content is as described in any one of Examples 1 to 8. Further, the sensor includes a multi-functional measuring instrument.

[0087] Example 10:

[0088] A local space regulation method based on real-time air flow simulation. The main technical content is as described in any one of Examples 1 to 9. Further, the device for executing the optimal control strategy includes an air conditioner.

[0089] Example 11:

[0090] See Figures 1 to 3 , a local space regulation method based on real-time air flow simulation, including the following steps:

[0091] 1) Arrange sensors and camera arrays indoors.

[0092] 2) Use the sensors to monitor the indoor environmental information, and use the cameras to capture the real-time three-dimensional indoor images reflecting the personnel activity information.

[0093] 3) Based on the real-time three-dimensional indoor images and the indoor environmental information, reconstruct the real-time three-dimensional indoor model with environmental information.

[0094] 4) Based on the historical personnel activity rules and the personnel positions in the real-time three-dimensional indoor model, divide the areas in the building to be regulated according to the degree of importance.

[0095] The historical personnel activity rules are obtained through historical data statistics, including the areas where personnel activities occur, the frequencies of personnel activities in each indoor space, the average time of each activity, the residence time in the activity areas, the personnel movement trajectories, etc.

[0096] 5) Search in the database to check whether there is a control strategy corresponding to the current indoor environmental information. If so, use this control strategy as the optimal control strategy and enter step 10). Otherwise, enter step 6).

[0097] 6) Construct a real-time airflow simulation model based on indoor environmental information.

[0098] The indoor temperature can be obtained through numerical simulation calculations or relevant transient distribution laws of indoor temperature. Numerical simulation calculations generally use models such as Standard k-ε, RNG k-ε, and Realizable k-ε for calculation.

[0099] Transient distribution law of indoor temperature: When the flow field is given and remains stable, the influence of the indoor temperature field by the heat source can also be considered a linear system. Therefore, establish the temperature distribution expressions (Equation (1-1)) under adiabatic and second-kind boundary conditions and the temperature distribution expression (Equation (1-2)) under the first-kind boundary condition:

[0100]

[0101] Supply air accessibility (TASA): For a constant flow field, without indoor emission sources and with adiabatic side walls, an initial concentration of 0, when a certain supply air outlet starts to release a certain concentration constantly from the 0th moment, the supply air accessibility of any point p in space at any moment τ is defined as follows:

[0102]

[0103] In the formula: C p (τ) is the pollutant concentration of any point p in space at moment τ.

[0104] TASA is a dimensionless number that reflects the influence degree of each supply air outlet on the instantaneous concentration of any point in the room. If the TASA of a certain air outlet to a certain point in the room is larger, it means that the influence degree of this air outlet on the instantaneous concentration of this point is higher. TASA is an index related to time, and its size is only determined by the airflow organization in the room and has nothing to do with the supply air concentration itself. The supply air accessibility reflects the inherent property of the flow field, and its value can be obtained through the measurement of tracer gas released by the rising method or through numerical simulation calculation methods.

[0105] The above content systematically gives the calculation expressions for describing the distribution laws of three important parameters - temperature, humidity, and gas pollutant concentration in a non-uniform indoor environment, comprehensively revealing how various influencing factors affect the parameters of each point in space, laying a foundation for creating a non-uniform thermal and humid environment.

[0106] 7) Conduct real-time airflow simulation on the airflow simulation model based on indoor environmental information. After environmental analysis and calculation (relying on open-source CFD calculation libraries under the Python platform, such as OpenFOAM, etc.), obtain the preliminary airflow simulation results.

[0107] 8) Develop multiple basic control strategies based on the regional importance degree and the preliminary airflow simulation results.

[0108] The central control unit first conducts a database search based on the measured environmental parameters and the established real-time three-dimensional model. If there are similar data records, the past regulation strategies are directly called to reduce the consumption of a large amount of computing resources in the simulation process. If no similar data records are found in the database search, new control logic analysis is performed, airflow simulation is carried out based on the airflow organization, temperature field, and changes in key positions (such as people or objects staying for more than 5 minutes), and different air-conditioning control strategies are selected according to different airflow simulation results.

[0109] When the importance level of the area is a key control area and the preliminary airflow simulation result of this area exceeds the preset threshold, the basic control strategies include:

[0110] Strategy 1: The air conditioner intelligently controls the air outlet so that the air outlet direction directly blows towards this area.

[0111] Strategy 2: The air conditioner intelligently controls the air outlet so that the air outlet direction blows towards the indoor heat source point and directly blows towards the indoor heat source point.

[0112] Strategy 3: The air conditioner intelligently controls the air outlet so that the air outlet swings up and down to blow air and blows air to the whole room.

[0113] Strategy 4: The air conditioner intelligently controls the air outlet so that the air outlet swings left and right to blow air and blows air to the whole room.

[0114] Strategy 5: The air conditioner intelligently controls the air outlet so that the air outlet swings up, down, left, and right to blow air and blows air to the whole room.

[0115] When the importance level of the area is a non-key control area and the preliminary airflow simulation result of this area exceeds the preset threshold, the basic control strategies include:

[0116] Strategy 1: The air conditioner intelligently controls the air outlet so that the air outlet direction directly blows towards this area.

[0117] Strategy 2: The air conditioner intelligently controls the air outlet so that the air outlet direction blows towards the key control area.

[0118] Strategy 3: The air conditioner intelligently controls the air outlet so that the air outlet direction blows towards the indoor heat source point and directly blows towards the indoor heat source point.

[0119] Strategy 4: The air conditioner intelligently controls the air outlet so that the air outlet swings up and down to blow air and blows air to the whole room.

[0120] Strategy 5: The air conditioner intelligently controls the air outlet so that the air outlet swings left and right to blow air and blows air to the whole room.

[0121] Strategy 6: The air conditioner intelligently controls the air outlet so that the air outlet swings up, down, left, and right to blow air and blows air to the whole room.

[0122] Here, the focus is mainly on the air distribution, and parameters such as temperature, humidity, and wind speed are determined depending on the deviation degree between the measured values and the preset thresholds.

[0123] 9) Introduce the air-conditioning operating states under different control strategies into the airflow simulation model for airflow simulation, and take the control strategy with the optimal simulation effect as the optimal control strategy.

[0124] The optimal simulation effect means that the value of the PMV index is from -0.5 to +0.5 and the PPD value is lower than 10% in the simulation result.

[0125] 10) Execute the optimal control strategy and monitor the real-time indoor environment information after execution.

[0126] 11) Judge whether the real-time indoor environment information after executing the optimal control strategy exceeds the preset threshold range. If so, return to step 6). If not, store the indoor environment information and the corresponding optimal control strategy in the building to be regulated into the database.

[0127] The preset threshold range of the real-time indoor environment information is as follows: indoor temperature: 24°C to 28°C (in summer), 18°C to 24°C (in winter); indoor humidity: 40% to 60%.

[0128] Example 12:

[0129] A local space regulation method based on real-time airflow simulation, the main technical content is shown in Example 11. Further, the position and quantity of the sensors are determined according to the symmetry in the building to be regulated.

[0130] Example 13:

[0131] A local space regulation method based on real-time airflow simulation, the main technical content is shown in any one of Examples 11 to 12. Further, the position and quantity of the cameras are determined according to the layout in the building to be regulated.

[0132] Example 14:

[0133] A local space regulation method based on real-time airflow simulation, the main technical content is shown in any one of Examples 11 to 13. Further, the indoor environment information includes indoor temperature, humidity, and wind speed.

[0134] Example 15:

[0135] A local space regulation method based on real-time airflow simulation, the main technical content is shown in any one of Examples 11 to 14. Further, the steps of reconstructing the indoor real-time three-dimensional model with environmental information are as follows:

[0136] 2.1) Identify the indoor real-time three-dimensional image to obtain the current building geometric parameters and personnel activity information. The building geometric parameters include building geometric dimensions, the dimensions and positions of indoor furnishings. The personnel activity information includes the number of indoor personnel and their locations.

[0137] Here, the open-source project VGGT (Visual Geometry Grounded Transformer) is used for three-dimensional image recognition and the establishment of an indoor real-time three-dimensional model.

[0138] The VGGT project can directly infer all key 3D attributes of a scene from one, several, or hundreds of views within seconds, including external and internal camera parameters, point maps, depth maps, and 3D point trajectories.

[0139] 2.2) Compare the current building geometric parameters with the pre-stored building geometric parameters in the database to obtain changes in indoor furnishings, and update the pre-stored indoor real-time three-dimensional image according to the changes in indoor furnishings to reduce waste of computing resources. For example, when indoor furniture is moved, the furniture part of the indoor three-dimensional model changes in real time, and other parts remain unchanged.

[0140] 2.3) Write the real-time environmental information and indoor personnel activity information into the indoor real-time three-dimensional image.

[0141] Example 16:

[0142] A local space regulation method based on real-time airflow simulation, the main technical content is as described in any one of Examples 11 to 15. Further, the preliminary airflow simulation results include the indoor temperature field, humidity field, PMV value, and PPD value.

[0143] The PMV value refers to the Predicted Mean Vote.

[0144] The PPD value refers to the percentage of predicted dissatisfied people.

[0145] Example 17:

[0146] A local space regulation method based on real-time airflow simulation, the main technical content is as described in any one of Examples 11 to 16. Further, the steps for constructing the real-time airflow simulation model are as follows:

[0147] 6.1) Obtain historical indoor environmental information, calculate the corresponding temperature field, humidity field, PMV value, and PPD value, and construct a training set and a test set.

[0148] 6.2) Construct an airflow simulation model.

[0149] 6.3) Use the training set to train the airflow simulation model to obtain a trained airflow simulation model.

[0150] 6.4) Input the indoor environment information of the test set into the trained airflow simulation model to obtain the airflow simulation results.

[0151] 6.5) Cross-validate the airflow simulation results with the temperature field, humidity field, PMV value, and PPD value in the test set through a machine learning method to obtain the validation results.

[0152] 6.6) Determine whether the validation results exceed the preset threshold range. If so, correct the trained airflow simulation model and return to step 6.4). If not, obtain the real-time airflow simulation model.

[0153] The preset threshold range of the validation results is as follows: in the comfortable state, the value of the PMV index is from -0.5 to +0.5, and the PPD value is less than 10%.

[0154] Among them, each indoor environmental parameter is divided into two parts: the training set and the test set. The airflow simulation results are cross-validated through a machine learning method. If the validation results deviate from the threshold, iterative correction is performed. This process is repeated until the airflow simulation results are in good fit with the test set, so as to save the time required for airflow organization simulation and perform real-time online optimization for airflow simulation.

[0155] Example 18:

[0156] A local space regulation method based on real-time airflow simulation. The main technical content is as described in any one of Examples 11 to 17. Further, the basic control strategy includes setting the positions of the air-conditioning air outlets and inlets, adjusting the air volume, adjusting the air direction, and adjusting the temperature.

[0157] Example 19:

[0158] A local space regulation method based on real-time airflow simulation. The main technical content is as described in any one of Examples 11 to 18. Further, the sensor includes a multi-functional measuring instrument.

[0159] Example 20:

[0160] A local space regulation method based on real-time airflow simulation. The main technical content is as described in any one of Examples 11 to 19. Further, the device for executing the optimal control strategy includes an air conditioner.

[0161] Example 21:

[0162] A system applying the method described in any one of Examples 11 - 20, including: a sensor, a camera, a central control unit, an environmental regulation module, and a data storage module.

[0163] The sensor is used to monitor the indoor environment information.

[0164] The camera is used to capture the indoor real-time three-dimensional image reflecting the personnel activity information.

[0165] The central control unit reconstructs the indoor real-time three-dimensional model with environmental information based on the indoor real-time three-dimensional image and the indoor environmental information.

[0166] The central control unit divides the importance levels of the areas in the building to be regulated based on the historical personnel activity patterns and the personnel positions in the indoor real-time three-dimensional model.

[0167] The central control unit is used to retrieve in the database whether there is a control strategy corresponding to the current indoor environmental information.

[0168] The central control unit constructs a real-time airflow simulation model based on the indoor environmental information.

[0169] The central control unit performs real-time airflow simulation on the airflow simulation model based on the indoor environmental information to obtain the preliminary airflow simulation result.

[0170] The central control unit formulates multiple basic control strategies based on the area importance level and the preliminary airflow simulation result.

[0171] The central control unit introduces the air-conditioning operation states under different control strategies into the airflow simulation model for airflow simulation, and takes the control strategy with the optimal simulation effect as the optimal control strategy.

[0172] The environmental regulation module is used to execute the optimal control strategy.

[0173] The data storage module is used to store the indoor environmental information and the corresponding optimal control strategy in the building to be regulated.

[0174] The sensor includes a multi-functional measuring instrument.

[0175] The position and quantity of the multi-functional measuring instrument are determined according to the symmetry in the building to be regulated, ensuring that the temperature distribution and gas flow rate in the room can be comprehensively and roughly described.

[0176] The camera includes a camera.

[0177] The position and quantity of the camera are determined according to the layout in the building to be regulated, ensuring that a panoramic indoor image can be obtained.

[0178] The environmental regulation module includes an air conditioner.

[0179] Embodiment 22:

[0180] See Figures 1 to 3 , a local space regulation method based on real-time airflow simulation, the main technical contents of which include:

[0181] A local space regulation method based on real-time airflow simulation, the control method of which includes: the central control unit reads the environmental parameters such as indoor temperature, humidity, and wind speed monitored by sensors; the central control unit reads the indoor three-dimensional image taken by the camera device to establish a real-time indoor three-dimensional model; the central control unit divides the importance degree of indoor areas according to the personnel activity rules recorded in the database and the real-time positions of indoor personnel; the central control unit first conducts a database search based on the measured environmental parameters and the established real-time three-dimensional model. If there are similar data records, the past regulation strategies are directly called to reduce the consumption of a large amount of computing resources in the simulation process. If no similar data records are found in the database search, a new control logic analysis is executed, airflow simulation is carried out based on airflow organization, temperature field, and changes in key positions (such as personnel or objects with a stay duration exceeding 5 minutes), and different air-conditioning control strategies are selected according to different airflow simulation results.

[0182] A local space regulation method based on real-time airflow simulation, the control method of which includes sensors testing various indoor environmental parameters, and a camera device obtaining data such as the indoor space layout. All data is transmitted to the central control unit, which constructs a real-time indoor three-dimensional model and divides the importance degree of indoor areas. Comprehensive indoor environmental parameters are measured for real-time airflow simulation. After environmental analysis and calculation, the indoor temperature field, humidity field, PMV value, and PPD value are obtained, and cross-validation is carried out according to the measured environmental parameters to ensure the accuracy of the airflow simulation model. The central control unit defines the basic control strategy based on the preliminary airflow simulation and the importance degree of the area. Subsequently, the air-conditioning operation states under different control strategies are introduced into the airflow simulation model for another round of airflow simulation, and the model with the best simulation effect is selected through the analysis and comparison of multiple schemes as the actual control strategy to control the operation of the air conditioner. After the central control unit controls the air conditioner to execute the regulation strategy, the sensors continuously test various indoor parameters and feedback the data to the central control unit. If the parameters exceed the simulation calculation threshold, the central control unit conducts a new round of simulation calculation to adjust the regulation strategy. If the parameters are within the simulation calculation threshold, the parameters and regulation strategy in this scenario are marked and entered into the database. Before the central control unit executes the airflow simulation command, a database search is first carried out. If there are data records, the past regulation strategies are directly called to reduce the consumption of a large amount of computing resources in the simulation process.

[0183] The method for establishing its indoor three-dimensional model is as follows: Sensors and camera points are evenly distributed in the room. The positions and quantities of the camera points are determined according to the room layout to ensure that panoramic images of the interior can be obtained. The positions and quantities of the sensors are determined according to the symmetry in the room to ensure that the temperature distribution and gas flow rate in the room can be generally described comprehensively. The indoor real-time three-dimensional model is established based on the building geometric parameters and personnel activity information obtained by the camera device, and the basic environmental information of each measurement point in the room is obtained from the temperature and humidity parameters and wind speed parameters obtained by the sensors. The central processing unit compares the building geometric parameters with the existing building geometric parameters in the database for differential update to reduce the waste of computing resources. For example, when the furniture in the room is moved, the furniture part of the indoor three-dimensional model changes in real time, and the other parts remain unchanged. The central processing unit relies on the temperature and humidity parameters, wind speed parameters, and building geometric parameters to establish a real-time indoor three-dimensional model containing the basic environmental information of the interior.

[0184] Its real-time air flow simulation method is as follows: The central processing unit comprehensively measures various indoor environmental parameters and the indoor three-dimensional model for real-time air flow simulation. After environmental analysis and calculation (relying on open-source CFD calculation libraries under the Python platform, such as OpenFOAM, etc.), the indoor temperature field, humidity field, PMV value, and PPD value are obtained. Among them, various indoor environmental parameters are divided into two parts: the training set and the test set. The cross-validation of the air flow simulation results is carried out by machine learning methods. If the verification results deviate from the threshold, iterative correction is performed. This process is repeated until the air flow simulation results are well-fitted with the test set, so as to save the time required for air flow organization simulation and perform real-time online optimization for air flow simulation.

[0185] The control strategy is formulated as follows: After the central control unit receives various environmental parameters measured by sensors and determines that the air conditioner needs to be turned on for environmental regulation, the central processor defines the basic control strategy based on preliminary airflow simulation and the degree of regional importance. Subsequently, the airflow generated by the operation of the air conditioner under different control strategies is introduced into the airflow simulation model for another round of airflow simulation. The division of regional importance is dynamically divided according to the preset key protection areas or the law of personnel activities and the positions of personnel in the real-time three-dimensional model. The airflow generated by the operation of the air conditioner under different control strategies can be modularized as a 3D model in advance, with the positions or air volumes, wind directions, and temperatures of the air outlets and inlets preset. The above parameters are independent modules. The model with the best simulation effect is selected through the analysis and comparison of multiple schemes as the actual control strategy to control the operation of the air conditioner. After the central control unit controls the air conditioner to execute the regulation strategy, the sensors continuously test the indoor parameters and feedback the data to the central control unit. If the parameters exceed the simulation calculation threshold, the central control unit performs a new round of simulation calculation and adjusts the regulation strategy. If the parameters are within the simulation calculation threshold, the parameters and regulation strategy in this scenario are marked and recorded in the database. Before the central control unit executes the airflow simulation command, the building geometric parameters, ventilation parameters, and their corresponding flow field data are retrieved from the database. If there are existing data records, the past regulation strategies are directly called to reduce the consumption of a large amount of computing resources during the simulation process.

[0186] This regulation method constructs a real-time three-dimensional model of the indoor environment with basic indoor environmental parameters through a camera device, sensors, and a central processor.

[0187] This method determines the regulation strategy through real-time airflow simulation and the regulation parameters of the past database.

[0188] This method realizes the precise regulation of the indoor local environment through the following devices: a camera device, sensors, a central control unit, and an air conditioner to implement the regulation.

Claims

1. A local space regulation method based on real-time airflow simulation, characterized in that It includes the following steps: 1) Arrange sensor and camera arrays indoors; 2) Use sensors to monitor indoor environmental information, and use cameras to capture real-time three-dimensional indoor images reflecting personnel activity information; 3) Based on the real-time three-dimensional indoor images and indoor environmental information, reconstruct a real-time three-dimensional indoor model with environmental information; 4) Based on historical personnel activity patterns and the positions of personnel in the real-time three-dimensional indoor model, divide the areas in the building to be regulated according to the degree of importance; 5) Retrieve in the database whether there is a control strategy corresponding to the current indoor environmental information. If so, use this control strategy as the optimal control strategy and go to step 10). Otherwise, go to step 6); 6) Based on the indoor environmental information, construct a real-time airflow simulation model; 7) Conduct real-time airflow simulation on the airflow simulation model based on the indoor environmental information to obtain preliminary airflow simulation results; 8) Based on the degree of regional importance and the preliminary airflow simulation results, formulate multiple basic control strategies; 9) Introduce the air-conditioning operation states under different control strategies into the airflow simulation model for airflow simulation, and use the control strategy with the optimal simulation effect as the optimal control strategy; 10) Execute the optimal control strategy, and monitor the real-time indoor environmental information after execution; 11) Determine whether the real-time indoor environmental information after executing the optimal control strategy exceeds the preset threshold range. If so, return to step 6); If not, store the indoor environmental information and the corresponding optimal control strategy in the building to be regulated in the database; 2. The local space regulation method based on real-time airflow simulation according to claim 1, characterized in that The position and quantity of the sensors are determined according to the symmetry in the building to be regulated.

3. A local space regulation method based on real-time airflow simulation according to claim 1, characterized in that The position and quantity of the cameras are determined according to the layout in the building to be regulated.

4. A local space regulation method based on real-time airflow simulation according to claim 1, characterized in that The indoor environmental information includes indoor temperature, humidity, and wind speed.

5. A local space regulation method based on real-time airflow simulation according to claim 1, characterized in that, The steps for reconstructing a real-time three-dimensional indoor model with environmental information are as follows: 2.1) Identify the real-time three-dimensional indoor images to obtain the current building geometric parameters and personnel activity information; the building geometric parameters include building geometric dimensions, the dimensions and positions of indoor furnishings; The personnel activity information includes the number of indoor personnel and their locations; 2.2) Compare the current building geometric parameters with the pre-stored building geometric parameters in the database to obtain changes in indoor furnishings, and update the pre-stored real-time three-dimensional indoor images according to the changes in indoor furnishings; 2.3) Write the real-time environmental information and indoor personnel activity information into the real-time three-dimensional indoor images.

6. A local space regulation method based on real-time airflow simulation according to claim 1, characterized in that The preliminary airflow simulation results include indoor temperature field, humidity field, PMV value, and PPD value; The PMV value refers to the predicted mean vote; The PPD value refers to the percentage of predicted dissatisfied people.

7. A local space regulation method based on real-time airflow simulation according to claim 6, characterized in that The steps for constructing a real-time airflow simulation model are as follows: 6.1) Obtain historical indoor environmental information, calculate the corresponding temperature field, humidity field, PMV value, and PPD value, and construct a training set and a test set; 6.2) Construct an airflow simulation model; 6.3) Use the training set to train the airflow simulation model to obtain a trained airflow simulation model; 6.4) Input the indoor environmental information of the test set into the trained airflow simulation model to obtain airflow simulation results; 6.5) Cross-validate the airflow simulation results and the temperature field, humidity field, PMV value, and PPD value in the test set through a machine learning method to obtain the verification results; 6.6) Determine whether the verification results exceed the preset threshold range. If so, correct the trained airflow simulation model and return to step 6.4); if not, obtain the real-time airflow simulation model.

8. A local space regulation method based on real-time airflow simulation according to claim 1, characterized in that The basic control strategy includes setting the positions of the air-conditioning air outlets and inlets, adjusting the air volume, adjusting the air direction, and adjusting the temperature.

9. A local space regulation method based on real-time airflow simulation according to claim 1, characterized in that, The sensor includes a multi-functional measuring instrument.

10. A local space regulation method based on real-time airflow simulation according to claim 1, characterized in that, The device for implementing the optimal control strategy includes an air conditioner.

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