TVOC control method and system based on air conditioner mode, terminal and storage medium
By regularly recording air conditioner operation data and creating a TVOC prediction model, the problem of insufficient TVOC monitoring accuracy of air conditioning equipment in different modes has been solved, achieving high-precision air quality control and improved user comfort.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-31
- Publication Date
- 2026-04-03
AI Technical Summary
Existing air conditioning equipment with TVOC monitoring function cannot meet the needs of high-precision air quality monitoring and control, especially in cooling and heating modes, where temperature and humidity differences affect the volatilization and diffusion patterns of TVOC, and the accuracy of existing algorithms is limited.
Based on a preset time unit, the operating data of the air conditioner is recorded periodically, including temperature value, TVOC value and operating mode. A TVOC prediction model is created, the model is trained to output TVOC prediction value, and the operating status of the air conditioner is adjusted according to the prediction value to control the TVOC concentration.
It enables real-time monitoring and recording of environmental TVOC concentration, and accurately adjusts the air conditioning status through a TVOC prediction model based on the air conditioning operation mode, reducing the adverse effects of TVOC and improving the accuracy of air quality monitoring and control as well as user comfort.
Smart Images
Figure CN121782686A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent control technology, and in particular to a TVOC control method, system, terminal and storage medium based on air conditioning mode. Background Technology
[0002] TVOC (Total Volatile Organic Compounds) is a common pollutant in indoor air, with a wide range of sources, including building materials, furniture, and cleaning products. Long-term exposure to high concentrations of TVOC can harm human health.
[0003] Currently, the conventional method is to use TVOC sensors to measure TVOC in indoor air. Devices that monitor TVOC concentration have also appeared on the market, or TVOC monitoring has been integrated into existing home appliances as an extended function. For example, some air conditioning equipment is also equipped with air quality monitoring functions, which can automatically adjust the operating mode according to the detected TVOC concentration.
[0004] However, existing air conditioning equipment capable of detecting TVOC does not consider the different effects of the air conditioning equipment's cooling or heating modes on TVOC concentrations. In cooling and heating modes, indoor temperature and humidity differ significantly, leading to different TVOC volatilization and diffusion patterns. Furthermore, parameters affecting TVOC include not only temperature but also humidity and material properties, and existing TVOC algorithms are mostly based on simple linear models or empirical formulas, resulting in limited accuracy. Therefore, existing air conditioning equipment with TVOC monitoring capabilities cannot meet the demands for high-precision air quality monitoring and control.
[0005] Existing technologies still have the problem that air conditioning equipment with TVOC monitoring functions cannot meet the needs of high-precision air quality monitoring and control. Therefore, existing technologies need to be improved. Summary of the Invention
[0006] The technical problem to be solved by the present invention is to provide a TVOC control method, system, terminal and storage medium based on air conditioning mode, in order to solve the problem that existing air conditioning equipment with TVOC monitoring function cannot meet the requirements for high-precision air quality monitoring and control.
[0007] The technical solution adopted by this invention to solve the technical problem is as follows: In a first aspect, the present invention provides a TVOC control method based on an air conditioning mode, comprising: The air conditioner's operating data is recorded periodically based on a preset time unit; wherein, the operating data includes temperature value, TVOC value, and operating mode; Create a TVOC prediction model based on the air conditioner's operating mode, and train the TVOC prediction model using recorded operating data; Input the currently recorded running data into the TVOC prediction model and output the TVOC prediction value; The operating status of the air conditioner is adjusted according to the predicted TVOC value in order to control the concentration of TVOC in the environment.
[0008] In one implementation, the TVOC control method based on air conditioning mode further includes: preprocessing the recorded temperature value and TVOC value.
[0009] In one implementation, creating a TVOC prediction model based on the air conditioner's operating mode includes: Take any moment when the air conditioner is running as the first moment, and obtain the first operating data corresponding to the first moment from the recorded operating data; wherein, the first operating data includes a first temperature value, a first TVOC value, and a first operating mode; Take the time before the first time point, which is a preset number of time units, as the second time point, and obtain the second temperature value recorded in each time unit between the first time point and the second time point to obtain the second temperature value set. Calculate the difference between the first temperature value and all the second temperature values to obtain a set of temperature difference values; The first temperature state of the air conditioner at the first moment is determined based on the preset temperature change threshold and the set of temperature differences. Based on the first operating mode, the first TVOC value, and the first temperature state, calculate the predicted TVOC value of the air conditioner at the next moment after the first moment.
[0010] In one implementation, training the TVOC prediction model using recorded runtime data includes: Obtain the predicted TVOC value for the next time step after the first time step; The next moment after the first moment is taken as the third moment, and the third operating data recorded at the third moment is obtained; wherein, the third operating data includes the third temperature value, the third TVOC value, and the third operating mode; The third TVOC value is compared with the predicted TVOC value, and the model parameters of the TVOC prediction model are adjusted according to the comparison results.
[0011] In one implementation, the step of inputting the currently recorded running data into the TVOC prediction model and outputting the TVOC prediction value includes: Retrieve the runtime data recorded at the current moment; The current moment is taken as the first moment, and the running data recorded at the current moment is input into the TVOC prediction model; Output the predicted TVOC value for the next time step from the current time step.
[0012] In one implementation, adjusting the operating state of the air conditioner based on the predicted TVOC value includes: The fresh air factor is calculated based on the predicted TVOC value and the recorded TVOC value at the current moment. Based on the predicted TVOC value and the fresh air factor, adjust the operating mode and / or operating parameters of the air conditioner.
[0013] In one implementation, the step of periodically recording the air conditioner's operating data based on a preset time unit further includes: A temperature sensor is used to record the temperature value when the air conditioner is running, and a TVOC sensor is used to record the TVOC value when the air conditioner is running.
[0014] Secondly, the present invention provides a TVOC control system based on an air conditioning mode, comprising: The data recording module is used to periodically record the air conditioner's operating data based on a preset time unit; wherein, the operating data includes temperature value, TVOC value, and operating mode; The model creation module is used to create a TVOC prediction model based on the air conditioner's operating mode and to train the TVOC prediction model using recorded operating data. The prediction output module is used to input the currently recorded running data into the TVOC prediction model and output the TVOC prediction value. An air conditioning control module is used to adjust the operating status of the air conditioner according to the predicted TVOC value in order to control the concentration of TVOC in the environment.
[0015] Thirdly, the present invention provides a terminal, comprising: a processor and a memory, wherein the memory stores a TVOC control program based on an air conditioning mode, and the TVOC control program based on an air conditioning mode, when executed by the processor, is used to implement the operation of the TVOC control method based on an air conditioning mode as described in the first aspect.
[0016] Fourthly, the present invention also provides a computer-readable storage medium storing a TVOC control program based on an air conditioning mode, which, when executed by a processor, is used to implement the operation of the TVOC control method based on an air conditioning mode as described in the first aspect.
[0017] The present invention, by employing the above technical solution, has the following effects: This invention provides a TVOC control method, system, terminal, and storage medium based on air conditioning mode, comprising: periodically recording air conditioner operating data based on a preset time unit; wherein the operating data includes temperature value, TVOC value, and operating mode; creating a TVOC prediction model based on the air conditioner's operating mode, and training the TVOC prediction model using the recorded operating data; inputting the currently recorded operating data into the TVOC prediction model and outputting a TVOC prediction value; adjusting the air conditioner's operating state according to the TVOC prediction value to control the concentration of TVOC in the environment; this invention can monitor and record the environmental TVOC concentration in real time, predict TVOC values through the TVOC prediction model based on the air conditioner's operating mode, and can intelligently adjust the air conditioner's operating state according to the predicted TVOC value to reduce the adverse effects of TVOC. Attached Figure Description
[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.
[0019] Figure 1 This is a flowchart of the TVOC control method based on air conditioning mode in this invention.
[0020] Figure 2 This is a functional schematic diagram of the terminal in one implementation of the present invention.
[0021] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0022] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0023] Exemplary methods Existing air conditioning equipment capable of detecting TVOCs does not consider the different effects of the air conditioning unit's cooling or heating modes on TVOC concentrations. In cooling and heating modes, indoor temperature and humidity differ significantly, leading to different TVOC volatilization and diffusion patterns. Furthermore, parameters affecting TVOCs include not only temperature but also humidity and material properties. Current TVOC algorithms are mostly based on simple linear models or empirical formulas, resulting in limited accuracy. Therefore, existing air conditioning equipment with TVOC monitoring capabilities cannot meet the demands for high-precision air quality monitoring and control.
[0024] To address the above-mentioned technical problems, this invention provides a TVOC control method based on air conditioning mode, comprising: periodically recording air conditioner operating data based on a preset time unit; wherein the operating data includes temperature value, TVOC value, and operating mode; creating a TVOC prediction model based on the air conditioner's operating mode, and training the TVOC prediction model using the recorded operating data; inputting the currently recorded operating data into the TVOC prediction model and outputting a TVOC prediction value; adjusting the air conditioner's operating state according to the TVOC prediction value to control the concentration of TVOC in the environment; this invention can monitor and record the environmental TVOC concentration in real time, and predict TVOC values through a TVOC prediction model based on the air conditioner's operating mode, thereby enabling intelligent adjustment of the air conditioner's operating state based on the predicted TVOC value and reducing the adverse effects of TVOC.
[0025] like Figure 1 As shown, this embodiment of the invention provides a TVOC control method based on air conditioning mode, including the following steps: Step S100: Record the air conditioner's operating data periodically based on a preset time unit; wherein, the operating data includes temperature value, TVOC value, and operating mode.
[0026] It should be noted that the air conditioner's operating data is recorded periodically based on a preset time unit. The preset time unit can be any of the hours, minutes, or seconds, and can also be any number of hours, minutes, or seconds. For example, the preset time unit could be 5 minutes, meaning that the air conditioner's operating data is recorded every 5 minutes. Collecting the air conditioner's operating data at fixed time intervals ensures the real-time nature of the data.
[0027] It should be noted that the operating data of the air conditioner includes, but is not limited to, temperature, TVOC, humidity, and operating mode. The air conditioner's operating data is recorded through a data acquisition module, which includes temperature sensors, humidity sensors, and TVOC sensors. For example, the temperature sensor collects and records temperature values, the humidity sensor collects and records humidity values, and the TVOC sensor collects and records TVOC values.
[0028] In this embodiment, the data acquisition module can be installed at different locations such as the air inlet and air outlet of the air conditioner to collect various operating data in real time during the operation of the air conditioner.
[0029] In this embodiment, sensors can also be installed indoors, and the data collected by the sensors can be transmitted to the air conditioner for unified processing through a data transmission module, so that the environmental data can be used as part of the air conditioner's operating data.
[0030] It should be noted that the TVOC value refers to the concentration of TVOC in the environment where the air conditioner is located.
[0031] This embodiment also includes preprocessing the recorded temperature and TVOC values. Specifically, the air conditioner's operating data, recorded periodically based on a preset time unit, can be preprocessed after acquisition before being recorded and stored. The recording of the operating data is based on a chronological order. Preprocessing is performed on the temperature and TVOC values in the operating data, and the collected humidity data can also be preprocessed. The preprocessing steps are as follows: filtering, calibration, format conversion, preliminary verification, cleaning, and normalization. Filtering removes data noise; calibration removes data errors, ensuring data accuracy and reliability; format conversion unifies the units of data collected from different sensors; preliminary verification checks whether the converted data format is consistent with the original format; cleaning removes abnormal data; and normalization unifies different types of data to the same scale. The preprocessed data provides a high-quality data foundation for subsequent model calculations and analysis, improving the accuracy of the TVOC prediction model in predicting TVOC values.
[0032] It should be noted that the operating modes in the operating data include basic modes such as cooling mode, heating mode, circulation mode, air supply mode, dehumidification mode, and standby mode; the operating modes can also be functional modes that are improved based on the basic modes, such as automatic mode, sleep mode, energy saving mode, and self-cleaning mode.
[0033] In this embodiment, the recording of air conditioner operation data is not limited to recording when the air conditioner is in operation mode. When the air conditioner is in standby mode, it can also collect various data in the environment through the data acquisition module, such as temperature value, humidity value, TVOC value, etc. When the air conditioner is in standby mode, the operation mode in the recorded air conditioner operation data is standby mode.
[0034] like Figure 1 As shown, this embodiment of the invention provides a TVOC control method based on air conditioning mode, including the following steps: Step S200: Create a TVOC prediction model based on the air conditioner's operating mode, and train the TVOC prediction model using the recorded operating data.
[0035] Specifically, in one implementation of this embodiment, step S200 includes: Step S201: Take any moment when the air conditioner is running as the first moment, and obtain the first operating data corresponding to the first moment from the recorded operating data; wherein, the first operating data includes a first temperature value, a first TVOC value, and a first operating mode.
[0036] In this embodiment, any moment of air conditioner operation is taken as the first moment. The first operating data corresponding to the first moment is obtained from the recorded operating data. The obtained first operating data is the input data of the TVOC prediction model. When the first moment is the current moment, the obtained first operating data is the currently collected operating data of the air conditioner.
[0037] In this embodiment, the first operating data includes a first temperature value, a first TVOC value, and a first operating mode, and may also include a first humidity value.
[0038] Step S202: Take the time before the first time point, which is a preset number of time units, as the second time point, and obtain the second temperature value recorded for each time unit between the first time point and the second time point to obtain the second temperature value set.
[0039] In this embodiment, after selecting the first moment, a moment preceding the first moment with a preset number of time units is selected as the second moment. For example, if the number of time units is 180, the second moment is the moment 180 time units before the first moment.
[0040] In this embodiment, the time interval between any two moments is one time unit. The second running data is not the data at the second moment, but rather the running data collected at each moment between the first and second moments. The interval between the first and second moments is 180 time units, meaning there are 180 moments between the first and second moments. The running data acquired at these 180 moments are all called the second running data. Thus, a second running dataset is constructed from 180 second running data. The subset of the second temperature values acquired at each moment is called the second temperature value set; the subset of the second TVOC values acquired at each moment is called the second TVOC value set.
[0041] In this embodiment, the temperature and TVOC values for the past 180 time units are recorded using the arrays TemperatureRecord and VocIndexAlgorithmRecord to obtain a second set of temperature values and a second set of TVOC values. The algorithm for obtaining the recorded data is as follows: Uint16_t VocIndexAlgorithmRecord
[180] ; Uint16_t TemperatureRecord
[180] ; Furthermore, if the first moment is the current moment, then when entering the next moment, the first running data recorded in the first moment should be part of the second running dataset. At this time, it is necessary to move the running data of each moment in the second running dataset forward and store the first running data at the end of the second running dataset to realize the real-time update of the second running dataset.
[0042] Step S203: Calculate the difference between the first temperature value and all the second temperature values to obtain a set of temperature difference values.
[0043] In this embodiment, the difference between the first temperature value and all the second temperature values is calculated. Each calculation will generate a temperature difference value, thereby obtaining a set of temperature difference values. When the number of second temperature values is 180, the temperature difference between the first moment and the temperature values of the previous 180 units of time can be obtained, thereby generating a second set of temperature difference values with 180 elements.
[0044] Step S204: Determine the first temperature state of the air conditioner at the first moment based on the preset temperature change threshold and the set of temperature differences.
[0045] In this embodiment, the TemperatureRise function is called to determine whether the current temperature is rising or stable, thus obtaining the first temperature state, specifically: TemperatureRise(Temperature,Stable Accumulated Time, Stable Temperature Variation); Where Temperature is the most recently measured temperature value; Stable Accumulated Time is the accumulated time under stable temperature and humidity conditions; and Stable Temperature Variation is the boundary value for determining whether the temperature is stable.
[0046] In this embodiment, the temperature difference between the first temperature value and the second temperature value of the previous 180 time units is compared with the TemperatureRise function and compared with the set temperature change threshold to determine the temperature state.
[0047] Step S205: Calculate the predicted TVOC value of the air conditioner at the next moment after the first moment, based on the first operating mode, the first TVOC value, and the first temperature state.
[0048] In this embodiment, a formula for predicting the TVOC value at the next moment is selected based on the first operating mode, the first TVOC value, and the first temperature state.
[0049] For example, the formula for predicting the TVOC value at the next moment can be the prediction curve formula, as shown in the following formula: ; in, The predicted TVOC value; The coefficient is 1; The VOC value at the previous moment; The coefficient is 2.
[0050] In this embodiment, temperature is used as one of the conditions for predicting TVOC values. The prediction and control strategies for TVOC values can be dynamically adjusted according to temperature changes. The temperature-correlation-based algorithm can more accurately reflect the changing patterns of TVOC values in the actual environment, thereby improving the accuracy of prediction and the effectiveness of control.
[0051] In one implementation of this embodiment, parameters such as humidity and light intensity can also be used as one of the conditions for predicting TVOC values, further improving the prediction accuracy of the model.
[0052] In one implementation of this embodiment, different TVOC prediction models can be created based on different air conditioner operating modes. For example, during the air conditioner's heating process, as the temperature continuously rises, and the temperature rise exceeds a set boundary value, TVOC is predicted, and the TVOC value will increase as the temperature rises. Conversely, during the cooling process, as the temperature decreases, the TVOC value will decrease as the temperature decreases.
[0053] In this embodiment, TVOC prediction models are established for the different characteristics of air conditioning cooling and heating modes, and software algorithms are used to accurately predict TVOC values under different temperature conditions, thereby improving the accuracy and adaptability of the models.
[0054] In one implementation of this embodiment, the created TVOC prediction model can also be deployed on a cloud platform. Data can be transmitted between the air conditioner and the cloud platform to achieve remote storage and analysis of the data. Through the big data processing capabilities of the cloud platform, more historical data can be mined and analyzed to further optimize the TVOC prediction method and air conditioner control strategy.
[0055] Step S206: Take the next moment after the first moment as the third moment and obtain the third operating data recorded at the third moment; wherein, the third operating data includes the third temperature value, the third TVOC value and the third operating mode.
[0056] In this embodiment, for ease of explanation, the next moment after the first moment is taken as the third moment, and the third operating data recorded at the third moment is obtained, that is, the third temperature value, the third TVOC value and the third operating mode recorded at the third moment are obtained.
[0057] Step S207: Compare the third TVOC value with the predicted TVOC value, and adjust the model parameters of the TVOC prediction model according to the comparison result.
[0058] In this embodiment, when the first moment is not the current moment, i.e., when the first moment is a historical moment, the air conditioner's operating data at the next moment after the first moment is also known. Therefore, the prediction accuracy of the TVOC prediction model can be verified by using the recorded data at the next moment after the first moment. By selecting a different first moment each time, the effect of training the TVOC prediction model using historical data can be achieved.
[0059] In this embodiment, the TVOC prediction model is optimized and verified by comparing the third TVOC value with the TVOC prediction value output based on the running data at the first time. The model parameters of the TVOC prediction model are adjusted according to the comparison results. The first time is continuously changed according to the recorded running data, so that the model parameters of the TVOC prediction model can be repeatedly adjusted, and finally the TVOC prediction value is made closest to the third TVOC value, so that the TVOC prediction model achieves the best prediction accuracy.
[0060] like Figure 1 As shown, this embodiment of the invention provides a TVOC control method based on air conditioning mode, including the following steps: Step S300: Input the currently recorded running data into the TVOC prediction model and output the TVOC prediction value.
[0061] Specifically, in one implementation of this embodiment, step S300 includes: Step S301: Obtain the running data recorded at the current moment.
[0062] In this embodiment, the operating data recorded at the current moment is obtained, including the current temperature value, humidity value, TVOC value, and operating mode.
[0063] Step S302: Take the current time as the first time and input the running data recorded at the current time into the TVOC prediction model.
[0064] In this embodiment, the current moment is taken as the first moment, and the running data recorded at the current moment is input into the TVOC prediction model that has been optimized and verified, so that the TVOC prediction value of the next moment can be calculated through the TVOC prediction model.
[0065] Step S303: Output the predicted TVOC value for the next time step from the current time step.
[0066] In this embodiment, the predicted TVOC value for the next time step is output, that is, the TVOC concentration for the next time step is output, so that the user can know the TVOC concentration in the current environment.
[0067] like Figure 1 As shown, this embodiment of the invention provides a TVOC control method based on air conditioning mode, including the following steps: Step S400: Adjust the operating status of the air conditioner according to the predicted TVOC value to control the concentration of TVOC in the environment.
[0068] Specifically, in one implementation of this embodiment, step S400 includes: Step S401: Calculate the fresh air factor based on the predicted TVOC value and the recorded TVOC value at the current time.
[0069] In this embodiment, in addition to using the TVOC predicted value to adjust the air conditioner's operating status, the air conditioner's operating status can also be adjusted by calculating the fresh air factor and combining the fresh air factor.
[0070] Specifically, the formula for calculating the fresh air factor is as follows: ; in, For fresh air factors; The TVOC value is displayed.
[0071] Step S402: Based on the predicted TVOC value and the fresh air factor, adjust the operating mode and / or operating parameters of the air conditioner to control the concentration of TVOC in the environment.
[0072] In this embodiment, based on the predicted TVOC value and the calculated fresh air factor, the air conditioning unit automatically adjusts the air conditioning's operating mode and / or operating parameters to control the TVOC concentration in the environment. For example, when the TVOC value exceeds a set threshold, the air conditioning's purification function is automatically activated or the airflow is increased; when the TVOC value is below the threshold, the air conditioning's operating power is appropriately reduced to save energy. For instance, when fresh air is activated, the ambient TVOC value should drop to a normal level within a short time. However, when heating is activated, TVOC becomes abnormally active, causing the TVOC value to rise instead of decrease, rendering the fresh air system ineffective. Predicted data can effectively improve the situation, allowing users to experience a true fresh air effect. This prediction model is not limited to fresh air, but its effectiveness is more pronounced in fresh air mode.
[0073] In this embodiment, the air conditioner's operating mode and parameters are automatically adjusted based on the predicted TVOC value and the fresh air factor calculated by the software, thereby achieving intelligent control of air quality and improving user comfort and energy efficiency.
[0074] This embodiment achieves the following technical effects through the above technical solution: Using temperature as one of the conditions for predicting TVOC values allows for dynamic adjustment of TVOC prediction and control strategies based on temperature changes. Temperature-correlation-based algorithms can more accurately reflect the changing patterns of TVOC values in the actual environment, improving the accuracy of prediction and the effectiveness of control. For the different characteristics of air conditioning cooling and heating modes, TVOC prediction models were established separately. Combined with software algorithms, TVOC values under different temperature conditions were accurately predicted, which improved the accuracy and adaptability of the models. Based on the predicted TVOC value and the fresh air factor calculated by the software, the air conditioner's operating mode and parameters are automatically adjusted, realizing intelligent control of air quality and improving user comfort and energy efficiency.
[0075] Exemplary device Based on the above embodiments, the present invention also provides a TVOC control system based on air conditioning mode, comprising: The data recording module is used to periodically record the air conditioner's operating data based on a preset time unit; wherein, the operating data includes temperature value, TVOC value, and operating mode; The model creation module is used to create a TVOC prediction model based on the air conditioner's operating mode and to train the TVOC prediction model using recorded operating data. The prediction output module is used to input the currently recorded running data into the TVOC prediction model and output the TVOC prediction value. An air conditioning control module is used to adjust the operating status of the air conditioner according to the predicted TVOC value in order to control the concentration of TVOC in the environment.
[0076] In this embodiment, the created TVOC prediction model further includes the following sub-modules: The input module is used to take any moment of air conditioner operation as the first moment, and obtain the first operating data corresponding to the first moment from the recorded operating data; wherein, the first operating data includes a first temperature value, a first TVOC value and a first operating mode; take a moment before the first moment with a preset number of time units as the second moment, and obtain the second temperature value recorded in each time unit between the first moment and the second moment to obtain a set of second temperature values; The temperature state determination module calculates the difference between the first temperature value and all the second temperature values to obtain a set of temperature difference values; and determines the first temperature state of the air conditioner at the first moment based on the preset temperature change threshold and the set of temperature difference values. The prediction curve calculation module is used to calculate the predicted TVOC value of the air conditioner at the next moment after the first moment, based on the first operating mode, the first TVOC value, and the first temperature state.
[0077] Based on the above embodiments, the present invention also provides a terminal, the principle block diagram of which can be as follows: Figure 2 As shown.
[0078] The terminal includes: a processor, a memory, an interface, a display screen, and a communication module connected via a system bus; wherein, the processor of the terminal provides computing and control capabilities; the memory of the terminal includes a computer-readable storage medium and internal memory; the computer-readable storage medium stores an operating system and computer programs; the internal memory provides an environment for the operation of the operating system and computer programs in the computer-readable storage medium; the interface is used to connect to external devices; the display screen is used to display relevant information; and the communication module is used to communicate with a cloud server or other devices.
[0079] When executed by the processor, this computer program is used to implement the TVOC control method based on the air conditioning mode.
[0080] It will be understood by those skilled in the art that Figure 2 The schematic diagram shown is merely a partial structural diagram related to the present invention and does not constitute a limitation on the terminal to which the present invention is applied. A specific terminal may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0081] In one embodiment, a terminal is provided, comprising: a processor and a memory, the memory storing a TVOC control program based on an air conditioning mode, the TVOC control program based on an air conditioning mode being executed by the processor to implement the operation of the TVOC control method based on an air conditioning mode as described above.
[0082] In one embodiment, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a TVOC control program based on an air conditioning mode, which, when executed by a processor, is used to implement the operation of the TVOC control method based on the air conditioning mode as described above.
[0083] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, database, or other media used in the embodiments provided by this invention can include both non-volatile and volatile memory.
[0084] In summary, this invention provides a TVOC control method, system, terminal, and storage medium based on air conditioning mode, comprising: periodically recording air conditioner operating data based on a preset time unit; wherein the operating data includes temperature value, TVOC value, and operating mode; creating a TVOC prediction model based on the air conditioner's operating mode, and training the TVOC prediction model using the recorded operating data; inputting the currently recorded operating data into the TVOC prediction model and outputting a TVOC prediction value; adjusting the air conditioner's operating state according to the TVOC prediction value to control the concentration of TVOC in the environment; this invention can monitor and record the environmental TVOC concentration in real time, predict TVOC values through the TVOC prediction model based on the air conditioner's operating mode, and intelligently adjust the air conditioner's operating state according to the predicted TVOC value to reduce the adverse effects of TVOC.
[0085] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.
Claims
1. A TVOC control method based on air conditioning mode, characterized in that, include: The air conditioner's operating data is recorded periodically based on a preset time unit; wherein, the operating data includes temperature value, TVOC value, and operating mode; Create a TVOC prediction model based on the air conditioner's operating mode, and train the TVOC prediction model using recorded operating data; Input the currently recorded running data into the TVOC prediction model and output the TVOC prediction value; The operating status of the air conditioner is adjusted according to the predicted TVOC value in order to control the concentration of TVOC in the environment.
2. The TVOC control method based on air conditioning mode according to claim 1, characterized in that, The TVOC control method based on air conditioning mode further includes: preprocessing the recorded temperature and TVOC values.
3. The TVOC control method based on air conditioning mode according to claim 1, characterized in that, The creation of a TVOC prediction model based on air conditioning operating modes includes: Take any moment when the air conditioner is running as the first moment, and obtain the first operating data corresponding to the first moment from the recorded operating data; wherein, the first operating data includes a first temperature value, a first TVOC value, and a first operating mode; Take the time unit before the first time unit as the second time unit, obtain the second temperature value recorded in each time unit between the first time unit and the second time unit, and obtain the second temperature value set. Calculate the difference between the first temperature value and all the second temperature values to obtain a set of temperature difference values; The first temperature state of the air conditioner at the first moment is determined based on the preset temperature change threshold and the set of temperature differences. Based on the first operating mode, the first TVOC value, and the first temperature state, calculate the predicted TVOC value of the air conditioner at the next moment after the first moment.
4. The TVOC control method based on air conditioning mode according to claim 3, characterized in that, Training the TVOC prediction model using the recorded runtime data includes: Obtain the predicted TVOC value for the next time step after the first time step; The next moment after the first moment is taken as the third moment, and the third operating data recorded at the third moment is obtained; wherein, the third operating data includes the third temperature value, the third TVOC value, and the third operating mode; The third TVOC value is compared with the predicted TVOC value, and the model parameters of the TVOC prediction model are adjusted according to the comparison results.
5. The TVOC control method based on air conditioning mode according to claim 3, characterized in that, The step of inputting the currently recorded running data into the TVOC prediction model and outputting the TVOC prediction value includes: Retrieve the runtime data recorded at the current moment; The current moment is taken as the first moment, and the running data recorded at the current moment is input into the TVOC prediction model; Output the predicted TVOC value for the next time step from the current time step.
6. The TVOC control method based on air conditioning mode according to claim 5, characterized in that, Adjusting the operating status of the air conditioner based on the predicted TVOC value includes: The fresh air factor is calculated based on the predicted TVOC value and the recorded TVOC value at the current moment. Based on the predicted TVOC value and the fresh air factor, adjust the operating mode and / or operating parameters of the air conditioner.
7. The TVOC control method based on air conditioning mode according to claim 1, characterized in that, The method of periodically recording the air conditioner's operating data based on a preset time unit also includes: A temperature sensor is used to record the temperature value when the air conditioner is running, and a TVOC sensor is used to record the TVOC value when the air conditioner is running.
8. A TVOC control system based on air conditioning mode, characterized in that, include: The data recording module is used to periodically record the air conditioner's operating data based on a preset time unit; wherein, the operating data includes temperature value, TVOC value, and operating mode; The model creation module is used to create a TVOC prediction model based on the air conditioner's operating mode and to train the TVOC prediction model using recorded operating data. The prediction output module is used to input the currently recorded running data into the TVOC prediction model and output the TVOC prediction value. An air conditioning control module is used to adjust the operating status of the air conditioner according to the predicted TVOC value in order to control the concentration of TVOC in the environment.
9. A terminal, characterized in that, include: The processor and memory, wherein the memory stores a TVOC control program based on an air conditioning mode, and the TVOC control program based on an air conditioning mode, when executed by the processor, is used to implement the operation of the TVOC control method based on an air conditioning mode as described in any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a TVOC control program based on an air conditioning mode, which, when executed by a processor, is used to implement the operation of the TVOC control method based on an air conditioning mode as described in any one of claims 1-7.