Control Method and Device for Building Interior Equipment, Storage Medium, Computer Equipment

Abstract

The present application discloses a control method and device for indoor building equipment, a storage medium, and a computer device. The method includes: receiving indoor environment monitoring data of a target building; performing energy consumption simulation on the target building based on the indoor environment monitoring data and preset environment data to obtain energy consumption simulation data; inputting the energy consumption simulation data into a preset equipment control model to obtain corresponding indoor equipment control parameters, and controlling the indoor equipment of the target building based on the indoor equipment control parameters. The present application can promptly utilize the indoor environment monitoring data, improve the prediction accuracy of the energy consumption simulation data while enhancing the accuracy of controlling the indoor building equipment, and effectively reduce energy consumption.

Description

Technical Field

[0001] The present application relates to the technical field of building energy conservation, and particularly to a control method and device for building indoor equipment, a storage medium, and a computer device. Background Art

[0002] Currently, with the continuous growth of the population, more and more energy is consumed, and a large part of it is the energy consumption of building indoor equipment, such as the energy consumption caused by the use of electric lights and air conditioning equipment. Therefore, reducing the energy consumption of building indoor equipment is of great significance for saving energy.

[0003] In the prior art, in order to save energy while ensuring that the indoor environment of the building meets the requirements, the building energy consumption is usually determined by a model calculation method, and then the control parameters of each indoor equipment are calculated based on the determined building energy consumption, and the operation state of the indoor equipment is adjusted manually according to the control parameters. However, this method requires a large amount of data when calculating the building energy consumption, and the calculation accuracy of the building energy consumption is greatly affected by the model accuracy. In addition, the timeliness of manually adjusting the indoor equipment is poor, which is not conducive to saving energy in a timely manner. Summary of the Invention

[0004] In view of this, the present application provides a control method and device for building indoor equipment, a storage medium, and a computer device, which can timely utilize the indoor environment monitoring data, improve the prediction accuracy of the energy consumption simulation data while improving the control accuracy of the building indoor equipment, and effectively reduce the energy consumption.

[0005] According to one aspect of the present application, there is provided a control method for building indoor equipment, including:

[0006] Receiving the indoor environment monitoring data of the target building;

[0007] Performing energy consumption simulation on the target building based on the indoor environment monitoring data and preset environment data to obtain energy consumption simulation data;

[0008] Inputting the energy consumption simulation data into a preset equipment control model to obtain corresponding indoor equipment control parameters, and controlling the indoor equipment of the target building based on the indoor equipment control parameters.

[0009] According to another aspect of the present application, there is provided a control device for building indoor equipment, characterized by including:

[0010] A receiving module, configured to receive the indoor environment monitoring data of the target building;

[0011] A simulation module, configured to perform energy consumption simulation on the target building based on the indoor environment monitoring data and preset environment data to obtain energy consumption simulation data;

[0012] A control module, configured to input the energy consumption simulation data into a preset device control model to obtain corresponding indoor device control parameters, and control the indoor devices of the target building based on the indoor device control parameters.

[0013] According to another aspect of the present application, a storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the control method of the above-mentioned building indoor devices is implemented.

[0014] According to still another aspect of the present application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the program, the control method of the above-mentioned building indoor devices is implemented.

[0015] By means of the above technical solution, a control method and device, a storage medium, and a computer device for building indoor devices provided by the present application can, first, receive indoor environment monitoring data of a target building, and then, according to the indoor environment monitoring data and preset environment data, simulate the energy consumption situation of the target building to obtain energy consumption simulation data corresponding to the target building. After obtaining the energy consumption simulation data, the energy consumption simulation data can be input into a preset device control model, and the preset device control model can correspondingly output indoor device control parameters corresponding to the target building. The obtained indoor device control parameters can be used to control the indoor devices of the target building. In the embodiments of the present application, indoor device control parameters are determined through indoor environment monitoring data and preset environment data, so as to realize intelligent adjustment and control of building indoor devices, timely utilize indoor environment monitoring data, improve the prediction accuracy of energy consumption simulation data while improving the accuracy of building indoor device control, and effectively reduce energy consumption.

[0016] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of the present application more obvious and understandable, the specific embodiments of the present application are hereinafter specifically exemplified. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings:

[0018] Figure 1 A flowchart showing a control method for building indoor devices provided by an embodiment of the present application is shown;

[0019] Figure 2A schematic flowchart of another control method for building indoor equipment provided by an embodiment of the present application is shown;

[0020] Figure 3 A schematic overall control diagram provided by an embodiment of the present application is shown;

[0021] Figure 4 A schematic structural diagram of a control device for building indoor equipment provided by an embodiment of the present application is shown. Detailed implementation manners

[0022] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments may be combined with each other.

[0023] In this embodiment, a control method for building indoor equipment is provided. As Figure 1 shown, the method includes:

[0024] Step 101: Receive indoor environment monitoring data of a target building;

[0025] The control method for building indoor equipment provided by the embodiment of the present application can automatically control building indoor equipment to meet the energy consumption requirements of the target building. While saving energy, it can ensure the indoor comfort of the target building. Among them, the building indoor equipment can be an air conditioner, etc. First, indoor environment monitoring data of the target building can be received. Here, an integrated sensor can be installed indoors in the target building, and the indoor environment of the target building can be monitored in real time through the integrated sensor. For example, monitor the indoor temperature and humidity, carbon dioxide concentration, etc. of the target building.

[0026] Step 102: Based on the indoor environment monitoring data and preset environment data, perform energy consumption simulation on the target building to obtain energy consumption simulation data;

[0027] In this embodiment, based on the indoor environment monitoring data and the preset environment data, the energy consumption situation of the target building can be simulated, and the energy consumption simulation data corresponding to the target building can be obtained. When simulating the energy consumption of the target building, the EnergyPlus simulation software can be used for the simulation. The EnergyPlus simulation software can be used to conduct a comprehensive energy consumption simulation analysis on the heating, cooling, lighting, ventilation and other energy consumptions of the target building. The EnergyPlus simulation software may include multiple modules. For example, the shading module: it can simulate movable shading and fixed shading; the natural ventilation module: it can simulate natural ventilation and ventilation under the action of the HVAC system, etc. Inputting the indoor environment monitoring data into the EnergyPlus simulation software can correspondingly obtain the energy consumption simulation data. Here, the preset environment data can be the preset temperature data, preset humidity data, etc. inside the building of the preset target building, which can be specifically preset according to human comfort or other requirements.

[0028] Step 103: Input the energy consumption simulation data into the preset device control model to obtain the corresponding indoor device control parameters, and control the indoor devices of the target building based on the indoor device control parameters.

[0029] In this embodiment, after obtaining the energy consumption simulation data, the energy consumption simulation data can also be input into the preset device control model, and the preset device control model can correspondingly output the indoor device control parameters corresponding to the target building. The obtained indoor device control parameters can be used to control the indoor devices of the target building. The output indoor device control parameters can be the adjustment parameters of the indoor devices. For example, when the indoor device includes an air conditioner, the indoor device control parameter can be the operating temperature of the air conditioner, etc. Here, the types of the indoor device control parameters can be consistent with the types of the indoor environment monitoring data.

[0030] By applying the technical solution of this embodiment, first, the indoor environment monitoring data of the target building can be received. Then, based on the indoor environment monitoring data and the preset environment data, the energy consumption situation of the target building can be simulated, and the energy consumption simulation data corresponding to the target building can be obtained. After obtaining the energy consumption simulation data, the energy consumption simulation data can also be input into the preset device control model, and the preset device control model can correspondingly output the indoor device control parameters corresponding to the target building. The obtained indoor device control parameters can be used to control the indoor devices of the target building. In the embodiment of the present application, the indoor device control parameters are determined through the indoor environment monitoring data and the preset environment data, so as to realize the intelligent adjustment and control of the indoor devices of the building, make timely use of the indoor environment monitoring data, improve the prediction accuracy of the energy consumption simulation data while improving the accuracy of the control of the indoor devices of the building, and effectively reduce energy consumption.

[0031] In an embodiment of the present application, optionally, step 102 includes: determining a target simulation time and a first preset number of first target time intervals corresponding to the target simulation time, and determining target environmental monitoring data corresponding to each of the first target time intervals from the indoor environmental monitoring data; performing weighted processing on the target environmental monitoring data based on a first preset weight corresponding to each of the first target time intervals, and performing energy consumption simulation on the target building according to the weighted target environmental monitoring data and the preset environmental data to obtain the energy consumption simulation data corresponding to the target simulation time.

[0032] In this embodiment, before performing energy consumption simulation on the target building, the target simulation time can be determined first, and the first preset number of first target time intervals corresponding to the target simulation time can be determined simultaneously. For example, if the target simulation time is 5:00 PM, the first preset number is 5, and the preset time interval is 1 hour, then the first target time intervals can be 12:00 PM - 1:00 PM, 1:00 PM - 2:00 PM, 2:00 PM - 3:00 PM, 3:00 PM - 4:00 PM, and 4:00 PM - 5:00 PM. Then, the target environmental monitoring data corresponding to each first target time interval can be determined separately from the indoor environmental monitoring data. Among them, the first target time interval can be derived by backward deduction from the target simulation time. By determining the target environmental monitoring data through the first preset number of first target time intervals close to the target simulation time, the subsequent obtained energy consumption simulation data can be more accurate. Different first target time intervals can be set with different first preset weights. Here, the closer the first target time interval is to the target simulation time, the greater its first preset weight can be. After determining the target environmental monitoring data corresponding to different first target time intervals, these target environmental monitoring data can be weighted according to the first preset weight. For example, the first target time intervals can be 12:00 PM - 1:00 PM, 1:00 PM - 2:00 PM, 2:00 PM - 3:00 PM, 3:00 PM - 4:00 PM, and 4:00 PM - 5:00 PM, and the corresponding first preset weights are 0.05, 0.1, 0.15, 0.3, and 0.4 respectively. Then, the target environmental monitoring data corresponding to 12:00 PM - 1:00 PM can be multiplied by 0.05 respectively, and so on, to obtain the weighted target environmental monitoring data. Finally, based on these weighted target environmental monitoring data and the preset environmental data, energy consumption simulation can be performed on the target building, and then the energy consumption simulation data corresponding to the target simulation time can be obtained. By weighting the target environmental monitoring data corresponding to different first target time intervals and then performing energy consumption simulation on the target building, the time series can be regarded as an ordered sequence, and different importance can be assigned to the target environmental monitoring data corresponding to different time points. When performing energy consumption simulation, not only the current environmental situation can be considered, but also the change process of the environment can be fully considered, which can make the energy consumption simulation result of the target building more accurate.

[0033] In an embodiment of the present application, optionally, "determining the target environmental monitoring data corresponding to each of the first target time intervals from the indoor environmental monitoring data" includes: determining the relationship between the total number of historical time intervals corresponding to the indoor environmental monitoring data and the first preset number; when the total number of historical time intervals is less than the first preset number, obtaining the indoor environmental monitoring data corresponding to each of the historical time intervals, and performing interpolation processing on the indoor environmental monitoring data to obtain the target environmental monitoring data corresponding to each of the first target time intervals; when the total number of historical time intervals is greater than or equal to the first preset number, determining the indoor environmental monitoring data corresponding to each of the first target time intervals from the indoor environmental monitoring data as the target environmental monitoring data.

[0034] In this embodiment, when determining the target environmental monitoring data corresponding to each first target time interval from the indoor environmental monitoring data, the total number of historical time intervals corresponding to the indoor environmental monitoring data can also be determined first. For example, if the indoor environment of a building is monitored starting from 1 pm and the current time is 5 pm, and the preset time interval is 1 hour, then the total number of historical time intervals is 4, that is, the start monitoring time and the current time are determined, and through the difference between the current time and the start monitoring time, and the ratio of this difference to the preset time interval, the total number of historical time intervals is obtained. After determining the total number of historical time intervals, the mutual relationship between the total number of historical time intervals and the first preset number can be further determined. If the total number of historical time intervals is less than the first preset number, it means that the first preset number of first target time intervals cannot be found from the indoor environmental monitoring data. At this time, the indoor environmental monitoring data of all historical time intervals can be obtained, and interpolation processing can be performed on these indoor environmental monitoring data according to the total number of historical time intervals and the first preset number. Finally, an interpolation processing result equal to the difference between the first preset number and the total number of historical time intervals can be obtained. Finally, the indoor environmental monitoring data corresponding to different historical time intervals and the interpolation processing result are used as the target environmental monitoring data corresponding to each first target time interval.

[0035] In addition, when the total number of historical time intervals is greater than or equal to the first preset number, it means that the first preset number of first target time intervals can be found from the indoor environmental monitoring data. At this time, the indoor environmental monitoring data corresponding to each of the first target time intervals can be directly determined from the indoor environmental monitoring data and directly used as the target environmental monitoring data.

[0036] In an embodiment of the present application, optionally, in step 103, "inputting the energy consumption simulation data into a preset device control model to obtain corresponding indoor device control parameters" includes: determining a target prediction time and a second preset number of second target time intervals corresponding to the target prediction time, and determining target energy consumption simulation data corresponding to each of the second target time intervals from the energy consumption simulation data; performing weighted processing on the target energy consumption simulation data based on the second preset weights corresponding to each of the second target time intervals, and inputting the weighted target energy consumption simulation data into the preset device control model to obtain the indoor device control parameters corresponding to the target prediction time.

[0037] In this embodiment, when obtaining indoor device control parameters based on energy consumption simulation data, the time orderliness corresponding to the energy consumption simulation data can also be considered. First, the target prediction time, that is, the time corresponding to the next prediction, can be determined. For example, if you want to predict the indoor device control parameters at 5 pm, then 5 pm can be used as the target prediction time. At the same time, a second preset number of second target time intervals corresponding to the target prediction time can be determined. Here, the second preset number can be equal to or different from the first preset number. Similarly, the second target time interval can be equal to or different from the first target time interval. Then, the target energy consumption simulation data corresponding to each second target time interval can be determined from the energy consumption simulation data. Each second target time interval can correspond to a different second preset weight. Here, the second target time interval closer to the target prediction time can have a larger second preset weight. After determining the target energy consumption simulation data corresponding to different second target time intervals, these target energy consumption simulation data can be weighted according to the second preset weights. Finally, these weighted target energy consumption simulation data can be input into the preset device control model, and then the indoor device control parameters corresponding to the target prediction time can be obtained. By weighting the target energy consumption simulation data corresponding to different second target time intervals and then determining the indoor device control parameters, the time series can be regarded as an ordered sequence, and different importance can be assigned to the target energy consumption simulation data corresponding to different time points. When predicting the indoor device control parameters, not only the current simulation result situation but also the change process of the simulation results can be fully considered, which can make the prediction results more accurate.

[0038] In an embodiment of the present application, optionally, before step 103, the method further includes: obtaining training samples, where the training samples include energy consumption sample data and control sample data of the indoor device corresponding to the energy consumption sample data for maintaining the indoor environment in the preset environment; inputting the energy consumption sample data into an initial model, and calculating a model loss value based on the output of the initial model and the control sample data; adjusting the initial model according to the model loss value until the model loss value meets a preset loss threshold, and obtaining the preset device control model.

[0039] In this embodiment, before using the preset device control model, the initial model can be trained first to obtain the preset device control model. First, training samples can be obtained. Here, the training samples can include energy consumption sample data and can also include control sample data. Among them, the energy consumption sample data can also be the energy consumption sample data within a second preset number of second target time intervals, and after weighting the energy consumption sample data within the second target time intervals with a second preset weight, the initial model is trained; the control sample data is the actual control data of the building indoor device corresponding to the energy consumption sample data for maintaining the indoor environment in the preset environment. Then, the energy consumption sample data in the training samples can be input into the initial model, and control prediction data can be correspondingly output. After that, the model loss value can be calculated based on the control prediction data and the control sample data. Specifically, it can be calculated according to a preset model loss function. After calculating the model loss value, the magnitude relationship between the model loss value and the preset loss threshold can be judged. If the model loss value is greater than the preset loss threshold, it means that the accuracy of the model is relatively low. At this time, the model parameters can be adjusted, the energy consumption sample data is input into the model with adjusted parameters again, the control prediction data is output again, and the model loss value is calculated again until the model loss value is less than or equal to the preset loss threshold. When the model loss value is less than or equal to the preset loss threshold, it means that the accuracy of the model has reached an acceptable range, and at this time, the preset device control model can be obtained. In the embodiment of the present application, the energy consumption sample data within the second target time intervals after weighting is used to train the initial model, which can enable the training of the model to fully consider the different importance of different time points, thereby improving the accuracy of the model.

[0040] Further, as a refinement and extension of the specific implementation manner of the above embodiment, in order to completely illustrate the specific implementation process of this embodiment, another control method for building indoor devices is provided, as Figure 2 shown, the method includes:

[0041] Step 201, receiving indoor environment monitoring data of a target building;

[0042] In an embodiment of the present application, optionally, the "indoor environmental monitoring data" in step 201 includes at least one of indoor temperature monitoring data, indoor humidity monitoring data, indoor light intensity monitoring data, indoor carbon dioxide concentration monitoring data, and indoor wind speed monitoring data.

[0043] In this embodiment, first, indoor environmental monitoring data of a target building can be received. Here, an integrated sensor can be installed indoors in the target building, and through the integrated sensor, the indoor environment of the target building can be monitored in real time, thereby obtaining the indoor environmental monitoring data. The indoor environmental monitoring data can be one or several of indoor temperature monitoring data, indoor humidity monitoring data, indoor light intensity monitoring data, indoor carbon dioxide concentration monitoring data, and indoor wind speed monitoring data.

[0044] Step 202, identify invalid data in the indoor environmental monitoring data, determine environmental monitoring data with the same attribute from historical environmental monitoring data based on the attribute of the invalid data, calculate replacement data corresponding to the invalid data according to the environmental monitoring data with the same attribute, and use the replacement data to replace the invalid data;

[0045] In this embodiment, after receiving the indoor environmental monitoring data, there may be some invalid data. Here, the invalid data can be obviously incorrect data, or data such as 0, etc. At this time, these invalid data can be processed. Specifically, these invalid data can be first identified from the indoor environmental monitoring data, and the attribute corresponding to each invalid data can be judged. Among them, the attribute can be the type of data, such as temperature data, humidity data, etc. Then, environmental monitoring data with the same attribute can be found from the historical environmental monitoring data, specifically, the environmental monitoring data within a preset time range. For example, the preset time range is within 2 hours, and the attribute of the invalid data is temperature data, then the temperature monitoring data within 2 hours can be determined from the historical environmental monitoring data. After determining the environmental monitoring data with the same attribute, the replacement data of the invalid data can be calculated based on the environmental monitoring data with the same attribute. For example, the average value of the environmental monitoring data with the same attribute can be used as the replacement data of the invalid data, or the environmental monitoring data with the same attribute in different time periods can be weighted, and the weighted environmental monitoring data can be used as the replacement data of the invalid data. Among them, the environmental monitoring data closer to the current time is given a higher weight, and the environmental monitoring data farther from the current time is given a lower weight. Finally, the replacement data can be used to replace the invalid data. By determining the replacement data to replace the invalid data in the embodiment of the present application, the accuracy of subsequent simulation can be effectively improved.

[0046] Step 203, obtain building data corresponding to the target building, and construct a building model corresponding to the target building based on the building data;

[0047] In this embodiment, building data corresponding to the target building can be obtained. Here, the building data can be various building dimension data corresponding to the target building, such as the length, width, height, door position, window position, etc. of the target building. In addition, it can also be various building material data corresponding to the target building, and can also include other building data. In this embodiment, after obtaining the building data, the building data can be used to model the target building to obtain a building model corresponding to the target building. Here, when modeling the target building, sketchup software can be used for modeling.

[0048] Step 204, obtain specific weather data, and based on the indoor environment monitoring data, the preset environment data, the building model, and the specific weather data, perform an energy consumption simulation on the target building to obtain energy consumption simulation data for keeping the indoor environment in the preset environment corresponding to the preset environment data;

[0049] In this embodiment, when performing the energy consumption simulation on the target building for the first time, the building model corresponding to the target building can be imported into the energy consumption simulation software, and the indoor environment monitoring data, the preset environment data, and the obtained specific weather data can be input into the energy consumption simulation software, and then the energy consumption simulation of the target building can be performed, and the energy consumption simulation data for keeping the indoor environment in the preset environment corresponding to the preset environment data can be obtained accordingly. That is, the energy consumption simulation data corresponding to keeping the indoor environment under the required conditions can be obtained. Here, the specific weather data can be weather data related to a specific region, such as temperature data, wind speed data, etc. in the Beijing area.

[0050] Step 205, input the energy consumption simulation data into a preset device control model to obtain corresponding indoor device control parameters;

[0051] In this embodiment, after obtaining the energy consumption simulation data, the energy consumption simulation data can also be input into a preset device control model, and the preset device control model can correspondingly output the indoor device control parameters corresponding to the target building.

[0052] Step 206, obtain the first operation data of the indoor device;

[0053] In this embodiment, the first operation data corresponding to the building indoor device can also be obtained, such as the first operation data of the air conditioning device, the first operation data of the humidifier, and so on.

[0054] Step 207, control the indoor device of the target building based on the indoor device control parameters;

[0055] In this embodiment, the obtained control parameters of the building indoor equipment can be used to control the building indoor equipment of the target building. The output control parameters of the building indoor equipment can be the adjustment parameters of the building indoor equipment.

[0056] Step 208, obtain the second operation data corresponding to the controlled indoor equipment, and determine the energy-saving data corresponding to the indoor equipment based on the first operation data and the second operation data;

[0057] In this embodiment, after the building indoor equipment is controlled according to the control parameters, the second operation parameters corresponding to the adjusted building indoor equipment can be obtained again. Then, based on the first operation parameters and the second operation parameters, the energy-saving data corresponding to each building indoor equipment and the total energy-saving data can be determined.

[0058] Step 209, send the energy-saving data to the cloud platform so that the cloud platform stores the energy-saving data and forwards the energy-saving data to a preset display terminal, and the preset display terminal displays the energy-saving data after receiving it.

[0059] In this embodiment, after determining the energy-saving data corresponding to the building indoor equipment, the energy-saving data can be sent to the cloud platform for storage. Here, the cloud platform can be a cloud server. Then, the cloud platform can forward the energy-saving data to a preset display terminal. After receiving the energy-saving data, the preset display terminal can display the energy-saving data for the staff to view and use.

[0060] In addition, as Figure 3 shown, the cloud platform can also receive the indoor environmental monitoring data collected by the integrated sensor. Among them, the integrated sensor can have the functions of a temperature and humidity sensor, a carbon dioxide concentration sensor, a wind speed sensor, and a light sensor. The indoor environmental monitoring data collected by the integrated sensor can be transmitted to the cloud platform in the form of a WIFI or 4G gateway, and these indoor environmental monitoring data can be stored. Similarly, these indoor environmental monitoring data sources can be forwarded to a preset display terminal for display. In addition, the indoor environmental monitoring data collected by the integrated sensor can also be transmitted to the execution main controller (control cabinet) of the present application in the form of a WIFI or 4G gateway, and the working states of the humidification motor, central air conditioner, fan, and sunshade motor corresponding to the building indoor equipment can be further controlled through the control cabinet, so as to realize the control of the building indoor equipment.

[0061] Further, as a Figure 1 specific implementation of the method, an embodiment of the present application provides a control device for building indoor equipment, as Figure 4 shown, the device includes:

[0062] A receiving module for receiving indoor environment monitoring data of a target building;

[0063] A simulation module for performing energy consumption simulation on the target building based on the indoor environment monitoring data and preset environment data to obtain energy consumption simulation data;

[0064] A control module for inputting the energy consumption simulation data into a preset device control model to obtain corresponding indoor device control parameters, and controlling the indoor devices of the target building based on the indoor device control parameters.

[0065] Optionally, the device further includes:

[0066] An acquisition module for acquiring first operation data of the indoor devices before controlling the indoor devices of the target building based on the indoor device control parameters;

[0067] The device further includes:

[0068] The acquisition module for acquiring second operation data corresponding to the controlled indoor devices after controlling the indoor devices of the target building based on the indoor device control parameters, and determining energy-saving data corresponding to the indoor devices based on the first operation data and the second operation data;

[0069] A sending module for sending the energy-saving data to a cloud platform, so that the cloud platform stores the energy-saving data and forwards the energy-saving data to a preset display terminal, and the preset display terminal displays the energy-saving data after receiving it.

[0070] Optionally, the device further includes:

[0071] A model construction module for acquiring building data corresponding to the target building before performing energy consumption simulation on the target building based on the indoor environment monitoring data and preset environment data, and constructing a building model corresponding to the target building based on the building data;

[0072] Correspondingly, the simulation module is configured to: acquire specific weather data, and perform energy consumption simulation on the target building based on the indoor environment monitoring data, the preset environment data, the building model, and the specific weather data to obtain energy consumption simulation data for keeping the indoor environment in a preset environment corresponding to the preset environment data.

[0073] Optionally, the device further includes:

[0074] An identification module, after receiving the indoor environment monitoring data of the target building, is configured to identify invalid data in the indoor environment monitoring data, determine environment monitoring data with the same attributes from historical environment monitoring data based on the attributes of the invalid data, calculate replacement data corresponding to the invalid data according to the environment monitoring data with the same attributes, and use the replacement data to replace the invalid data.

[0075] Optionally, the simulation module includes:

[0076] A determination unit, configured to determine a target simulation time and a first preset number of first target time intervals corresponding to the target simulation time, and determine target environment monitoring data corresponding to each of the first target time intervals from the indoor environment monitoring data;

[0077] A weighting unit, configured to perform weighting processing on the target environment monitoring data based on first preset weights corresponding to each of the first target time intervals, and perform energy consumption simulation on the target building according to the weighted target environment monitoring data and the preset environment data to obtain the energy consumption simulation data corresponding to the target simulation time.

[0078] Optionally, the determination unit is configured to: judge the relationship between the total number of historical time intervals corresponding to the indoor environment monitoring data and the first preset number; when the total number of historical time intervals is less than the first preset number, obtain the indoor environment monitoring data corresponding to each of the historical time intervals, and perform interpolation processing on the indoor environment monitoring data to obtain target environment monitoring data corresponding to each of the first target time intervals; when the total number of historical time intervals is greater than or equal to the first preset number, determine the indoor environment monitoring data corresponding to each of the first target time intervals from the indoor environment monitoring data as the target environment monitoring data.

[0079] Optionally, the control module is configured to: determine a target prediction time and a second preset number of second target time intervals corresponding to the target prediction time, determine target energy consumption simulation data corresponding to each of the second target time intervals from the energy consumption simulation data; perform weighting processing on the target energy consumption simulation data based on second preset weights corresponding to each of the second target time intervals, and input the weighted target energy consumption simulation data into the preset device control model to obtain the indoor device control parameters corresponding to the target prediction time.

[0080] It should be noted that for other corresponding descriptions of each functional unit involved in the control device of building indoor equipment provided in the embodiments of the present application, reference can be made to Figures 1 to 3 the corresponding descriptions in the method, which will not be elaborated here.

[0081] Based on the above-mentioned method as Figures 1 to 3 shown, correspondingly, an embodiment of the present application further provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the control method of the building indoor equipment as Figures 1 to 3 shown above is implemented.

[0082] Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various implementation scenarios of the present application.

[0083] Based on the above-mentioned method as Figures 1 to 3 shown, and Figure 4 the virtual device embodiment shown, in order to achieve the above object, an embodiment of the present application further provides a computer device, which can specifically be a personal computer, a server, a network device, etc. The computer device includes a storage medium and a processor; the storage medium is used for storing a computer program; the processor is used for executing the computer program to implement the control method of the building indoor equipment as Figures 1 to 3 shown above.

[0084] Optionally, the computer device may further include a user interface, a network interface, a camera, a radio frequency (RF) circuit, sensors, an audio circuit, a WI-FI module, etc. The user interface may include a display screen (Display), an input unit such as a keyboard (Keyboard), etc. Optionally, the user interface may further include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a Bluetooth interface, a WI-FI interface), etc.

[0085] Those skilled in the art can understand that the structure of a computer device provided in this embodiment does not constitute a limitation on the computer device, and it may include more or fewer components, or combine some components, or have different component arrangements.

[0086] The storage medium may further include an operating system and a network communication module. The operating system is a program for managing and storing the hardware and software resources of a computer device, and supports the operation of an information processing program and other software and / or programs. The network communication module is used to implement communication between components inside the storage medium, and communication between other hardware and software in this entity device.

[0087] Through the description of the above embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform, or can also be implemented by hardware. First, the indoor environment monitoring data of the target building can be received. Then, based on the indoor environment monitoring data and the preset environment data, the energy consumption situation of the target building can be simulated, and the energy consumption simulation data corresponding to the target building can be obtained. After obtaining the energy consumption simulation data, the energy consumption simulation data can also be input into a preset device control model, and the preset device control model can correspondingly output the indoor device control parameters corresponding to the target building. The indoor devices of the target building can be controlled by using the obtained indoor device control parameters. The embodiments of the present application determine the indoor device control parameters through the indoor environment monitoring data and the preset environment data, so as to realize the intelligent adjustment and control of the indoor devices of the building, can timely utilize the indoor environment monitoring data, while improving the prediction accuracy of the energy consumption simulation data, can improve the accuracy of the control of the indoor devices of the building, and effectively reduce the energy consumption.

[0088] Those skilled in the art can understand that the drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the drawings are not necessarily essential for implementing the present application. Those skilled in the art can understand that the modules in the device in the implementation scenario can be distributed in the device in the implementation scenario according to the description of the implementation scenario, or can be correspondingly changed and located in one or more devices different from the present implementation scenario. The modules in the above implementation scenario can be combined into one module, or can be further split into multiple sub-modules.

[0089] The above serial numbers of the present application are only for description and do not represent the advantages or disadvantages of the implementation scenarios. The above-disclosed are only several specific implementation scenarios of the present application. However, the present application is not limited thereto, and any changes that can be thought of by those skilled in the art should fall within the protection scope of the present application.

Claims

1. A method for controlling indoor equipment in a building, characterized in that: Including: Receiving the indoor environment monitoring data of the target building; Based on the indoor environment monitoring data and the preset environment data, performing energy consumption simulation on the target building to obtain energy consumption simulation data; Inputting the energy consumption simulation data into a preset device control model to obtain corresponding indoor device control parameters, and controlling the indoor devices of the target building based on the indoor device control parameters; The performing energy consumption simulation on the target building based on the indoor environment monitoring data and the preset environment data to obtain energy consumption simulation data includes: Determining a target simulation time and a first preset number of first target time intervals corresponding to the target simulation time, and determining target environment monitoring data corresponding to each of the first target time intervals from the indoor environment monitoring data; Performing weighted processing on the target environment monitoring data based on first preset weights corresponding to each of the first target time intervals, and performing energy consumption simulation on the target building based on the weighted target environment monitoring data and the preset environment data to obtain the energy consumption simulation data corresponding to the target simulation time.

2. The method according to claim 1, characterized in that Before controlling the indoor devices of the target building based on the indoor device control parameters, the method further includes: Obtaining first operation data of the indoor devices; After controlling the indoor devices of the target building based on the indoor device control parameters, the method further includes: Obtaining second operation data corresponding to the controlled indoor devices, and determining energy-saving data corresponding to the indoor devices based on the first operation data and the second operation data; Sending the energy-saving data to a cloud platform so that the cloud platform stores the energy-saving data and forwards the energy-saving data to a preset display terminal, and the preset display terminal displays the energy-saving data after receiving it.

3. The method according to claim 1, characterized in that: Before performing energy consumption simulation on the target building based on the indoor environment monitoring data and the preset environment data, the method further includes: Obtaining building data corresponding to the target building, and constructing a building model corresponding to the target building based on the building data; Correspondingly, the performing energy consumption simulation on the target building based on the indoor environment monitoring data and the preset environment data includes: Obtaining specific weather data, and performing energy consumption simulation on the target building based on the indoor environment monitoring data, the preset environment data, the building model, and the specific weather data to obtain energy consumption simulation data for keeping the indoor environment in a preset environment corresponding to the preset environment data, where the specific weather data is weather data related to a specific region.

4. The method according to any one of claims 1 to 3, characterized in that After receiving the indoor environment monitoring data of the target building, the method further includes: Identifying invalid data in the indoor environment monitoring data, determining environment monitoring data with the same attribute from historical environment monitoring data based on the attribute of the invalid data, calculating replacement data corresponding to the invalid data based on the environment monitoring data with the same attribute, and using the replacement data to replace the invalid data.

5. The method according to claim 1, characterized in that Determining the target environmental monitoring data corresponding to each of the first target time intervals from the indoor environmental monitoring data includes: Judging the relationship between the total number of historical time intervals corresponding to the indoor environmental monitoring data and the first preset number; When the total number of historical time intervals is less than the first preset number, obtaining the indoor environmental monitoring data corresponding to each of the historical time intervals, and performing interpolation processing on the indoor environmental monitoring data to obtain the target environmental monitoring data corresponding to each of the first target time intervals; When the total number of historical time intervals is greater than or equal to the first preset number, determining the indoor environmental monitoring data corresponding to each of the first target time intervals from the indoor environmental monitoring data as the target environmental monitoring data.

6. The method according to claim 1, characterized in that Inputting the energy consumption simulation data into a preset device control model to obtain corresponding indoor device control parameters includes: Determining a target prediction time and a second preset number of second target time intervals corresponding to the target prediction time, and determining the target energy consumption simulation data corresponding to each of the second target time intervals from the energy consumption simulation data; Based on the second preset weights corresponding to each of the second target time intervals, performing weighted processing on the target energy consumption simulation data, and inputting the weighted target energy consumption simulation data into the preset device control model to obtain the indoor device control parameters corresponding to the target prediction time.

7. A control device for indoor equipment in a building, characterized in that: Including: A receiving module, configured to receive the indoor environmental monitoring data of a target building; A simulation module, configured to perform energy consumption simulation on the target building based on the indoor environmental monitoring data and preset environmental data to obtain energy consumption simulation data; A control module, configured to input the energy consumption simulation data into a preset device control model to obtain corresponding indoor device control parameters, and control the indoor devices of the target building based on the indoor device control parameters; The simulation module includes: A determining unit, configured to determine a target simulation time and a first preset number of first target time intervals corresponding to the target simulation time, and determine the target environmental monitoring data corresponding to each of the first target time intervals from the indoor environmental monitoring data; A weighting unit, configured to perform weighted processing on the target environmental monitoring data based on the first preset weights corresponding to each of the first target time intervals, and perform energy consumption simulation on the target building according to the weighted target environmental monitoring data and the preset environmental data to obtain the energy consumption simulation data corresponding to the target simulation time.

8. A storage medium having a computer program stored thereon, characterized in that: The computer program, when executed by a processor, implements the method according to any one of claims 1 to 6.

9. A computer device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: The processor, when executing the computer program, implements the method according to any one of claims 1 to 6.

Images