Indoor air quality improvement method and device, storage medium and electronic device

Abstract

The invention discloses an indoor air quality improvement method and device, a storage medium and an electronic device, and relates to the technical field of smart home / smart home, and the method comprises the following steps: obtaining an air treatment demand and device data of a plurality of intelligent devices; and according to the air treatment requirements and the control parameters, target intelligent equipment is determined from the multiple pieces of intelligent equipment. And according to the air standard data, the air treatment requirement and the environment data detected by the multiple intelligent devices, a device control instruction of the target intelligent device is generated, the air standard data is generated according to the target indoor scene and the environment data, and the device control instruction is used for instructing the target intelligent device to improve the indoor air quality. And sending the equipment control instruction to the target intelligent equipment. According to the method, the intelligent equipment in the family is regulated and controlled in a combined mode, a better indoor air treatment scheme is selected to optimize the air quality, the air quality in the family is automatically adjusted, meanwhile, operation of a user is reduced, and the user experience is improved.

Description

Technical Field

[0001] The present application relates to the technical field of smart home / smart family. Specifically, it relates to a method, device, storage medium and electronic device for improving indoor air quality. Background Art

[0002] In the era of intelligent Internet of Things, intelligent devices are becoming more and more diverse, and there are a wide variety of intelligent devices in the home, from various intelligent network-connected household appliances to digital panels, etc. Without affecting the user's active control, these devices have greatly enriched our home life experience.

[0003] While pursuing a high-quality life, people's attention to indoor air quality is also constantly increasing. In a family, multiple different types of intelligent network-connected devices may be running simultaneously, such as air conditioners, air purifiers, air detectors, humidifiers and dehumidifiers, etc. These devices work together to improve and regulate the indoor air quality.

[0004] However, in actual use, users usually need to operate and control these devices one by one to achieve the expected indoor air quality. This operation method is not only cumbersome but also inefficient, and it is difficult to meet the needs of modern people for convenience and comfort. Therefore, how to achieve unified management and intelligent regulation of these intelligent devices has become an urgent problem to be solved currently. Summary of the Invention

[0005] The present application provides a method, device, storage medium and electronic device for improving indoor air quality, so as to solve the problem that when users regulate indoor air, they need to control individual devices one by one to achieve the user's expectation for indoor air, resulting in a cumbersome operation process.

[0006] In the first aspect, the present application provides a method for improving indoor air quality, including:

[0007] Obtain air treatment requirements and device data of multiple intelligent devices, where the device data includes: control parameters of the intelligent devices and environmental data detected by the intelligent devices;

[0008] Determine a target intelligent device from multiple intelligent devices according to the air treatment requirements and the control parameters, where the target intelligent device is the intelligent device among the multiple intelligent devices that matches the air treatment requirements;

[0009] Generate a device control instruction for the target intelligent device according to air standard data, the air treatment requirements and the environmental data detected by multiple intelligent devices, where the air standard data is generated according to the target indoor scene and the environmental data, and the device control instruction is used to instruct the target intelligent device to perform improvement processing on the indoor air quality;

[0010] Send the device control instruction to the target intelligent device.

[0011] Optionally, before obtaining the air treatment requirements and the device data of multiple intelligent devices, the method further includes:

[0012] Obtain historical scenario data, which is used to reflect the specific indicators of air quality regulation set for different situations in the air treatment process;

[0013] Perform parsing and annotation processing on the historical scenario data to obtain multiple indoor scenarios and the identification information of each indoor scenario, and the identification information is used to determine the target indoor scenario that matches the air treatment requirements.

[0014] Optionally, determining the target intelligent device from multiple intelligent devices according to the air treatment requirements and the control parameters includes:

[0015] Perform parsing processing on the air treatment requirements to obtain air treatment parameters;

[0016] Perform screening and matching processing on the control parameters according to the air treatment parameters to obtain the target intelligent device, and the number of the target intelligent devices is one or more.

[0017] Optionally, generating the device control instruction of the target intelligent device according to the air standard data, the air treatment requirements and the environmental data detected by multiple intelligent devices includes:

[0018] Perform screening processing on the environmental data to obtain indoor air data and outdoor air data;

[0019] Determine adjustment data based on the air standard data and the indoor air data, wherein the air standard data is generated according to the real-time indoor scenario and the outdoor air data;

[0020] Generate the device control instruction of the target intelligent device according to the air treatment requirements and the adjustment data.

[0021] Optionally, before determining the adjustment data based on the air standard data and the indoor air data, the method further includes:

[0022] Perform matching processing on the air treatment requirements and the identification information to obtain the target indoor scenario and the scenario data of the target indoor scenario;

[0023] Perform calculation processing on the scenario data and the outdoor air data according to a preset algorithm to obtain the air standard data.

[0024] Optionally, generating the device control instruction for the target intelligent device according to the air treatment requirement and the adjustment data includes:

[0025] Determining the adjustment range of the target intelligent device according to the control parameters of the target intelligent device;

[0026] Determining the adjustment value of the target intelligent device according to the adjustment data, the adjustment range, and the air treatment requirement, where the sum of the adjustment values is equal to the adjustment data and the adjustment values are within the adjustment range;

[0027] Determining the operating state of the target intelligent device according to the adjustment value and generating the device control instruction for the target intelligent device.

[0028] Optionally, the method further includes:

[0029] Judging whether there is a historical adjustment record according to the air treatment requirement;

[0030] In the case of the existence of the historical adjustment record, generating the intelligent device control instruction according to the adjustment method of the historical adjustment record and sending the device control instruction to the target intelligent device;

[0031] In the case of the non - existence of the historical adjustment record, determining the target intelligent device and the corresponding device control instruction for the target intelligent device according to the air treatment requirement and the device data of the intelligent device.

[0032] In a second aspect, the present application provides an indoor air quality improvement device, including:

[0033] An acquisition module, configured to acquire the air treatment requirement and the device data of multiple intelligent devices, where the device data includes: the control parameters of the intelligent device and the environmental data detected by the intelligent device;

[0034] A determination module, configured to determine the target intelligent device from multiple intelligent devices according to the air treatment requirement and the control parameters, where the target intelligent device is the intelligent device that matches the air treatment requirement among the multiple intelligent devices;

[0035] A generation module, configured to generate the device control instruction for the target intelligent device according to the air standard data, the air treatment requirement, and the environmental data detected by multiple intelligent devices, where the air standard data is generated according to the target indoor scenario and the environmental data, and the device control instruction is used to instruct the target intelligent device to perform improvement processing on the indoor air quality;

[0036] A sending module, configured to send the device control instruction to the target intelligent device.

[0037] Optionally, the device further includes: a processing module;

[0038] The obtaining module is further configured to obtain historical scenario data, which is used to reflect the specific indicators of air quality regulation set for different situations during the air governance process;

[0039] The processing module is configured to perform parsing and annotation processing on the historical scenario data to obtain a plurality of indoor scenarios and identification information of each indoor scenario, and the identification information is used to determine a target indoor scenario that matches the air governance requirement.

[0040] Optionally, the processing module is further configured to perform parsing processing on the air governance requirement to obtain air governance parameters;

[0041] The processing module is further configured to perform screening and matching processing on the control parameters according to the air governance parameters to obtain the target intelligent device, and the number of the target intelligent devices is one or more.

[0042] Optionally, the processing module is further configured to perform screening processing on the environmental data to obtain indoor air data and outdoor air data;

[0043] The processing module is further configured to determine adjustment data based on air standard data and the indoor air data, where the air standard data is generated according to the real-time indoor scenario and the outdoor air data;

[0044] The generating module is further configured to generate a device control instruction for the target intelligent device according to the air governance requirement and the adjustment data.

[0045] Optionally, the processing module is further configured to perform matching processing on the air governance requirement and the identification information to obtain a target indoor scenario and scenario data of the target indoor scenario;

[0046] The processing module is further configured to perform calculation processing on the scenario data and the outdoor air data according to a preset algorithm to obtain air standard data.

[0047] Optionally, the determining module is further configured to determine an adjustment range of the target intelligent device according to the control parameters of the target intelligent device;

[0048] The determining module is further configured to determine an adjustment value of the target intelligent device according to the adjustment data, the adjustment range, and the air governance requirement, where the sum of the adjustment values is equal to the adjustment data and the adjustment values are within the adjustment range;

[0049] The determining module is further configured to determine the operating state of the target intelligent device according to the adjustment value and generate a device control instruction for the target intelligent device.

[0050] Optionally, the device further includes: a judgment module;

[0051] The judgment module is configured to judge whether there is a historical adjustment record according to the air treatment requirement;

[0052] The generating module is further configured to, when there is the historical adjustment record, generate an intelligent device control instruction according to the adjustment method of the historical adjustment record and send the device control instruction to the target intelligent device;

[0053] The determining module is further configured to, when there is no historical adjustment record, determine a target intelligent device and a device control instruction corresponding to the target intelligent device according to the air treatment requirement and the device data of the intelligent device.

[0054] In a third aspect, the present application provides an electronic device, including: a processor and a memory communicatively connected to the processor;

[0055] The memory stores computer-executable instructions;

[0056] The processor executes the computer-executable instructions stored in the memory to implement the method for improving indoor air quality as described in the first aspect and various possible implementation manners of the first aspect.

[0057] In a fourth aspect, the present application provides a computer-readable storage medium, on which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, they are used to implement the method for improving indoor air quality as described in the first aspect and various possible implementation manners of the first aspect.

[0058] In a fifth aspect, the present application provides a program product, including a computer program, and when the computer program is executed by a processor, it implements the method for improving indoor air quality as described above.

[0059] The indoor air quality improvement method, device, storage medium and electronic device provided by the present application. The method obtains the indoor air treatment requirements of the user, screens out multiple target intelligent devices according to the indoor air treatment requirements and the operation data of the intelligent devices, and then determines the adjustment data to be adjusted according to the environmental data detected by the intelligent devices and the standard air quality data preset by the user. The device control instructions for each target intelligent device are generated according to the adjustment data, and the device control instructions are sent down so that the target intelligent devices execute the device control instructions to improve the indoor air quality. This method can jointly control the intelligent devices in the home, help the user select a better indoor air treatment plan, and does not require the user to control the intelligent devices one by one, reducing the user operation steps and improving the user experience. Description of the Drawings

[0060] The drawings here are incorporated into the specification and form a part of this specification, showing the embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0062] Figure 1 It is a schematic diagram of the hardware environment of an indoor air quality improvement method according to an embodiment of the present application;

[0063] Figure 2 It is a flowchart of an indoor air quality improvement method provided by the present application Figure 1 ;

[0064] Figure 3 It is a flowchart of an indoor air quality improvement method provided by the present application Figure 2 ;

[0065] Figure 4 It is a schematic structural diagram of an indoor air quality improvement device provided by the present application;

[0066] Figure 5 It is a schematic structural diagram of an indoor air quality improvement device provided by the present application. Detailed Embodiments

[0067] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0068] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0069] According to one aspect of an embodiment of the present application, a method for improving indoor air quality is provided. The method for improving indoor air quality is widely used in smart home (Smart Home), smart home, smart home equipment ecology, smart residential (Intelligence House) ecology and other whole-house intelligent digital control application scenarios. Optionally, in this embodiment, the above-mentioned method for improving indoor air quality can be applied to Figure 1 In the hardware environment composed of the terminal device 102 and the server 104 shown in FIG. Figure 1 As shown, the server 104 is connected to the terminal device 102 via a network, and can be used to provide services (such as application services, etc.) for the terminal or a client installed on the terminal. A database can be set on the server or independently of the server to provide data storage services for the server 104. Cloud computing and / or edge computing services can be configured on the server or independently of the server to provide data computing services for the server 104.

[0070] The above network may include, but is not limited to, at least one of the following: wired network, wireless network. The above wired network may include, but is not limited to, at least one of the following: wide area network, metropolitan area network, local area network. The above wireless network may include, but is not limited to, at least one of the following: WIFI (Wireless Fidelity), Bluetooth. The terminal device 102 may not be limited to PC, mobile phone, tablet computer, smart air conditioner, smart range hood, smart refrigerator, smart oven, smart stove, smart washing machine, smart water heater, smart washing equipment, smart dishwasher, smart projection device, smart TV, smart drying rack, smart curtain, smart audio and video, smart socket, smart speaker, smart sound box, smart fresh air device, smart kitchen and bathroom equipment, smart bathroom equipment, smart floor sweeping robot, smart window cleaning robot, smart mopping robot, smart air purification device, smart steam box, smart microwave oven, smart kitchen water heater, smart purifier, smart water dispenser, smart door lock, etc.

[0071] In the era of intelligent Internet of Things, intelligent devices are becoming more and more diverse. A family usually owns one or more different types of intelligent connected devices such as air conditioners, refrigerators, washing machines, purification systems, smart floor heating, as well as various household appliances and devices such as multiple digital panels. Without interfering with the user's manual operation, these devices have significantly improved the quality of our home life.

[0072] With people's continuous pursuit of high-quality life, indoor air quality has also become an increasingly concerned focus for them. In a typical family, multiple different types of intelligent connected devices may be running simultaneously, such as air conditioners, air purifiers, air quality monitors, humidifiers, and dehumidifiers, etc. They work together to optimize and regulate the indoor air conditions.

[0073] However, in the actual use process, users usually need to manually operate and control these devices one by one to achieve the ideal indoor air quality state. This operation mode is both complex and time-consuming, and it is difficult to meet the high standards of modern people for operation convenience and living comfort. Therefore, how to achieve centralized management and intelligent control of these intelligent devices has become a challenge that needs to be overcome urgently.

[0074] In view of the above problems, the present application provides a method for improving indoor air quality. By optimizing the indoor air quality according to the air treatment requirements and scenario requirements provided by the user, a digital whole-house system is used to detect the whole-house smart home, obtain the set of device attributes of all smart devices, determine the standard air quality index according to the scenario requirements, and determine the difference between the existing air quality and the standard air quality index. Determine the smart devices to be controlled according to the air treatment requirements, generate control instructions for the smart devices, so that the smart devices can eliminate the difference between the air quality indexes after the instructions are executed, achieving the joint optimization of the indoor air and providing the user with a comfortable and clean air environment experience.

[0075] The following uses specific embodiments to detail the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems. These several specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0076] Figure 2 Schematic diagram of the process of a method for improving indoor air quality provided by an embodiment of the present application Figure 1 As Figure 2 shown, the method for improving indoor air quality provided in this embodiment includes:

[0077] S101: Obtain air treatment requirements and device data of multiple smart devices.

[0078] Among them, the device data includes: control parameters of the smart device and environmental data detected by the smart device. The control parameters specifically indicate the functions and adjustable ranges of the smart device. For example, an air purifier may have the function of adjusting the PM2.5 concentration, and a humidifier may have the function of adjusting the indoor humidity, etc. These parameters are the key to whether the device can meet the user's needs.

[0079] It can be understood that the user can fill in the air treatment requirements and turn on the control permissions of all smart devices through a mobile application or a control panel on the smart home, so that the system can control the smart devices. In order to more effectively obtain and process this data, it is usually necessary to establish a unified private cloud platform, connect all smart devices to the platform through a gateway, and realize the centralized collection and management of data.

[0080] First, the system needs to clarify the specific requirements for air treatment. For example, the requirements may include: reducing the PM2.5 concentration, removing formaldehyde, increasing indoor humidity, etc. At the same time, relevant data of multiple smart devices (such as air purifiers, humidifiers, dehumidifiers, air conditioners, fresh air systems, floor heating, etc.) need to be collected. These data include the control parameters of the smart devices (such as wind speed gears, working modes, timing switches, etc.) and the environmental data detected by the smart devices (such as the current PM2.5 concentration, formaldehyde content, indoor temperature and humidity, light intensity, etc.).

[0081] S102: Determine the target smart device from multiple smart devices according to the air treatment requirements and control parameters.

[0082] Among them, the target smart device is the smart device that matches the air treatment requirements among multiple smart devices.

[0083] It can be understood that after obtaining the air treatment requirements and the device data of the smart devices, it is necessary to screen out the devices that can meet the current treatment requirements from multiple smart devices according to this information, that is, the target smart devices. This process needs to consider various factors such as the type, performance, current status, and energy consumption of the devices. For example, if the current air treatment requirement is to reduce the PM2.5 concentration, then it is necessary to screen out the devices with air purification functions.

[0084] S103: Generate the device control instructions for the target smart device according to the air standard data, air treatment requirements, and the environmental data detected by multiple smart devices.

[0085] Among them, the air standard data is generated according to the target indoor scenario and environmental data, and the device control instructions are used to instruct the target smart device to improve the indoor air quality. For the determination of the air standard data, please refer to the following text and will not be elaborated here.

[0086] It can be understood that after determining the target smart device, it is necessary to generate control instructions for the target smart device according to the air standard data, air treatment requirements, and the environmental data detected by multiple smart devices. These control instructions are used to instruct the target smart device how to improve the indoor air quality. The process of generating control instructions involves a digital whole-house indoor air quality model. This model can adjust the control instructions in real time according to the changes in environmental data to achieve excellent air treatment effects. At the same time, factors such as the energy consumption and service life of the target smart device also need to be considered when generating control instructions to achieve the economic operation of the device while ensuring air quality.

[0087] S104: Send the device control instructions to the target smart device.

[0088] It is understandable that the generated control instructions are sent to the target intelligent device, enabling the target intelligent device to work according to the instructions and improving the indoor air quality. This process can be achieved through the Internet of Things communication protocol, which can ensure the real-time performance and reliability of the control instructions.

[0089] After sending the control instructions, it is also possible to monitor and feedback on the execution status of the target intelligent device. If the device fails to work as expected, it may be necessary to regenerate the control instructions or take other measures for intervention. At the same time, it is also necessary to collect the real-time data during the device operation to optimize and adjust the subsequent air treatment strategies.

[0090] An indoor air quality improvement method provided in this embodiment. The method obtains the air treatment requirements and the device data of multiple intelligent devices. The device data includes: the control parameters of the intelligent device and the environmental data detected by the intelligent device. According to the air treatment requirements and the control parameters, the target intelligent device is determined from multiple intelligent devices. According to the air standard data, the air treatment requirements, and the environmental data detected by multiple intelligent devices, a device control instruction for the target intelligent device is generated. Among them, the air standard data is generated according to the target indoor scenario and the environmental data. The device control instruction is used to instruct the target intelligent device to improve the indoor air quality. The device control instruction is sent to the target intelligent device. This method jointly regulates the intelligent devices in the home, selects a better indoor air treatment method to optimize the air quality, automatically adjusts the indoor air quality while reducing the user's operation and improving the user experience.

[0091] Figure 3 It is a flowchart illustration of an indoor air quality improvement method provided in an embodiment of the present application. Figure 2 As Figure 3 shown, based on the Figure 2 embodiment, a possible implementation manner for improving the indoor air quality is described in detail. The indoor air quality improvement method shown in this embodiment includes:

[0092] S201: Obtain the air treatment requirements and the device data of multiple intelligent devices.

[0093] Among them, step S201 is similar to step S101, and will not be elaborated here.

[0094] S202: Analyze and process the air treatment requirements to obtain air treatment parameters.

[0095] It is understandable that after the user puts forward these requirements, the system needs to parse them. The parsing process may include, for example, understanding the meaning of the user's language, the real-time scenarios at home (such as the presence of the elderly at home, the scenario of organizing activities at home, etc.), identifying the specific types of requirements (such as reducing pollutant concentration, adjusting humidity, etc.), and determining the priority of the requirements.

[0096] S203: Screen and match the control parameters according to the air treatment parameters to obtain the target intelligent device(s), and the number of target intelligent devices is one or more.

[0097] It is understandable that the system will screen and match intelligent devices with corresponding functions according to the air treatment parameters. If there are multiple intelligent devices with response functions at home, all of them can be determined to provide multiple options for subsequent intelligent device regulation. For example, if the user needs to reduce the PM2.5 concentration, the system will screen out air purifiers with PM2.5 filtering functions; if the user needs to remove formaldehyde, the system will screen out air purifiers and fresh air fans with formaldehyde removal functions, etc., and can also select plants with purification functions and display them on the interface to remind the user to choose. In addition, the system will further screen and match according to factors such as the performance, efficiency, and user evaluation of the devices.

[0098] S204: Screen the environmental data to obtain indoor air data and outdoor air data.

[0099] It is understandable that in a home environment, there are some intelligent devices that can capture both indoor and outdoor air data at the same time. Once these environmental data are obtained, the system will screen and classify them to clearly distinguish indoor and outdoor air data. During this process, the system mainly focuses on adjusting and optimizing the indoor air data, while the outdoor air data is mainly used to evaluate the outdoor air quality.

[0100] Specifically, if the system determines that the outdoor air quality meets the qualified standard, it will intelligently control the opening of the intelligent windows at home and use natural wind for ventilation and air exchange, thereby effectively purifying the indoor air. This approach not only improves the indoor air quality but also greatly saves the energy consumption of related devices such as home air purifiers. On the contrary, if the system detects that the outdoor air quality is unqualified and there are problems such as excessive pollutants, it will immediately switch to the indoor air purification mode and use intelligent devices such as air purifiers to deeply purify the indoor air to ensure the health and safety of the indoor environment.

[0101] S205: Match the air treatment requirements with the identification information to obtain the target indoor scene and the scene data of the target indoor scene.

[0102] It is understandable that the identification information is used to represent different indoor scenarios. According to the air treatment requirements sent by the user, the system can traverse all the stored indoor scenarios in the database and determine the target indoor scenario and scenario data that match the air treatment requirements based on the identification information of the indoor scenario.

[0103] Optionally, before determining the target indoor scenario, it is first necessary to preset and save the indoor scenario, which specifically includes:

[0104] Obtain historical scenario data.

[0105] Among them, the historical scenario data is used to reflect the specific indicators of air quality regulation set for different situations in the air treatment process.

[0106] It is understandable that in the historical process of air treatment, in order to optimize the air quality in different environments, a series of index data will be set as the treatment basis according to the specific scenario. For example, assuming there are elderly people at home, considering that the elderly are more sensitive to temperature, in order to ensure their comfort and health, the historical scenario data shows that among the air quality indicators set at that time, the indoor temperature was strictly controlled at about 26 degrees Celsius. This set value of 26 degrees is one of the air quality index data determined in the historical treatment process under this scenario.

[0107] Parse and label the historical scenario data to obtain multiple indoor scenarios and the identification information of each indoor scenario.

[0108] Among them, the identification information is used to determine the target indoor scenario that matches the air treatment requirements. The identification information can be the name of the scenario.

[0109] It is understandable that after obtaining multiple historical scenario data, these historical scenario data are parsed to obtain the specific adjustment indicators of each indoor scenario, and each scenario is labeled, so that after the user inputs the air treatment requirements, the system can quickly retrieve the corresponding indoor scenario and determine the specific adjustment indicators corresponding to the indoor scenario, and adjust the existing air quality data according to the specific adjustment indicators.

[0110] S206: Calculate and process the scenario data and outdoor air data according to the preset algorithm to obtain air standard data.

[0111] It can be understood that the preset algorithm can be, for example, a digital whole-house indoor air model. The model can calculate the optimal air standard data by comprehensively considering factors such as human comfort, health standards, and energy efficiency based on the input scene data and outdoor air data. For example, assuming that the current scene data is an event at home and the personnel activity status is 10 people sitting still and playing games, and the weights set by the model are 40% for human comfort / 35% for health standards / 25% for energy conservation. Based on the human comfort temperature range (22 - 26°C) as a benchmark, it gives priority to ensuring the health threshold of CO 2 ≤ 1000 ppm, and at the same time dynamically adjusts the power combination of air conditioners, fresh air, and purification equipment. Specifically, a target function is generated through weighted calculation, and under the conditions of restricting the total equipment power ≤ 3 kW and the PM2.5 filtration efficiency ≥ 90%, the air standard data combination that can not only maintain the indoor CO 2 ≤ 800 ppm and the temperature of 24°C (meeting the comfort ratio), but also minimize the system energy consumption is solved.

[0112] Importantly, the calculation of air standard data can be achieved through a variety of indoor air models. For example, an optimized solution can be carried out using a digital whole-house air model, or other models adapted to the scene can also be selected. This article does not specifically limit the model type and the algorithm of the model. The key lies in determining the air standard data that conforms to the user's living environment.

[0113] S207: Determine the adjustment data based on the air standard data and the indoor air data.

[0114] Among them, the air standard data is generated based on the real-time indoor scene and outdoor air data.

[0115] It can be understood that the air standard data is an ideal state, which is comprehensively calculated based on the real-time indoor scene (such as personnel activities, health conditions, indoor layout, etc.) and outdoor air data (such as temperature, humidity, air quality, etc.), aiming to provide an indoor air quality suitable for people's lives. The indoor air data is the current indoor environmental state obtained in real time through sensors. Determining the adjustment data means calculating the difference between the air standard data and the indoor air data. These differences reflect the direction and degree of adjustment required for the current indoor environment, that is, the adjustment data. The adjustment data may include temperature difference, humidity difference, air quality improvement requirements, etc., which will guide the subsequent adjustment of intelligent devices.

[0116] S208: Determine the adjustment range of the target intelligent device according to the control parameters of the target intelligent device.

[0117] It is understandable that during the process of adjusting air quality, the physical limitations and performance characteristics of the target intelligent device need to be considered. Each intelligent device has its specific control parameters and adjustment ranges. For example, the temperature adjustment range of an air conditioner, the humidity adjustment range of a humidifier, etc. These parameters and ranges determine the adjustment effects that the device can achieve. When determining the adjustment range, factors such as the performance, energy efficiency, safety standards of the device, and user-set preferences need to be comprehensively considered to ensure that the adjustment process is both effective and safe.

[0118] S209: Determine the adjustment value of the target intelligent device according to the adjustment data, adjustment range, and air treatment requirements.

[0119] Among them, the sum of the adjustment values is equal to the adjustment data and the adjustment values are within the adjustment range.

[0120] It is understandable that the adjustment value is the specific value that the device needs to reach when performing the adjustment task. For example, the temperature value that the air conditioner needs to lower, the pollutant concentration that the air purifier needs to remove, etc. The air treatment requirements specifically describe the specific types of the adjustment values. For example, the adjustment values only include temperature, or only include humidity, etc. The determination of the adjustment value needs to meet two conditions: one is that the sum of the adjustment values should be equal to the adjustment data to ensure that all adjustment requirements are met; the other is that the adjustment values should be within the adjustment range of the target intelligent device to avoid the device from operating overloaded or failing to achieve the expected effect.

[0121] In the digital whole-house indoor air model, according to the adjustment range of each intelligent device, the corresponding adjustment value of each device is selected, and these adjustment values are aggregated and fine-tuned so that their combined effect can meet the adjustment data and air treatment requirements. At the same time, the selection of the adjustment values meets the performance characteristics of each intelligent device, enabling the intelligent device to operate in the best state.

[0122] S210: Determine the operating state of the target intelligent device according to the adjustment value, and generate a device control instruction for the target intelligent device.

[0123] It is understandable that after determining the adjustment value, the adjustment value needs to be converted into specific device control instructions. First, once the adjustment value is determined, the system can determine the operating state of the target intelligent device according to these values, such as turning on, turning off, adjusting the power, etc. If there are multiple target intelligent devices, the optimal operating state of each target device can be selected according to the adjustment value. The device control instructions are specific commands sent to the intelligent device, which guide the device to operate and reduce the adjustment difference.

[0124] S211: Send the device control instruction to the target intelligent device.

[0125] Among them, step S211 is similar to step S104, and will not be elaborated here.

[0126] Optionally, it is determined whether there is a historical adjustment record according to the air treatment requirement;

[0127] In the case where there is a historical adjustment record, an intelligent device control instruction is generated according to the adjustment method of the historical adjustment record, and the device control instruction is sent to the target intelligent device.

[0128] In the case where there is no historical adjustment record, the target intelligent device and the device control instruction corresponding to the target intelligent device are determined according to the air treatment requirement and the device data of the intelligent device.

[0129] It can be understood that after the user inputs the air treatment requirement, the system will first analyze and judge the treatment requirement. If the real-time scenario and air treatment parameters indicated in the treatment requirement are the same as the historical adjustment records that have been treated, the target intelligent device and the adjustment scheme of the target intelligent device in the historical scheme can be directly retrieved, and the intelligent device control instruction can be directly generated and sent, reducing the time for the system to calculate and select the intelligent device again, and improving the improvement speed of air quality. If there is no historical adjustment record, the target intelligent device is determined according to the air treatment requirement and multiple intelligent devices in the home, and the device control instruction corresponding to the target intelligent device is determined and sent, that is, the indoor air quality improvement method of performing steps S201 to S211.

[0130] An indoor air quality improvement method provided in this embodiment. This method obtains the air treatment requirement and intelligent device data, analyzes and obtains the treatment parameters, and filters and matches the target intelligent device. At the same time, the indoor and outdoor environmental data are distinguished, the air treatment requirement is matched with the scenario information to obtain the scenario data. Combining the scenario data with the outdoor air data, calculating the air standard data, and then comparing with the indoor air data to obtain the adjustment data. According to the control parameters and adjustment range of the target intelligent device, combining the adjustment data and the treatment requirement, determining the adjustment value of each device, so that the sum of the adjustment values is equal to the adjustment data and meets the range. Finally, set the operating state of the intelligent device according to the adjustment value to generate a control instruction. This method can accurately match the treatment requirement and device capabilities, optimize the air treatment effect, and achieve intelligent and efficient air management.

[0131] Figure 4 It is a schematic structural diagram of an indoor air quality improvement device provided by the present application. As Figure 4 shown, the present application provides an indoor air quality improvement device. The indoor air quality improvement device 400 includes:

[0132] An acquisition module 401, configured to acquire an air treatment requirement and device data of multiple intelligent devices, where the device data includes: control parameters of the intelligent device and environmental data detected by the intelligent device;

[0133] A determination module 402, configured to determine a target intelligent device from multiple intelligent devices according to the air treatment requirement and the control parameter, where the target intelligent device is an intelligent device among the multiple intelligent devices that matches the air treatment requirement;

[0134] A generation module 403, configured to generate a device control instruction for the target intelligent device according to air standard data, the air treatment requirement, and the environmental data detected by multiple intelligent devices, where the air standard data is generated according to a target indoor scenario and the environmental data, and the device control instruction is used to instruct the target intelligent device to perform improvement processing on indoor air quality;

[0135] A sending module 404, configured to send the device control instruction to the target intelligent device.

[0136] Optionally, the device further includes: a processing module 405;

[0137] The obtaining module 401 is further configured to obtain historical scenario data, where the historical scenario data is used to reflect specific indicators of air quality regulation set for different situations during the air treatment process;

[0138] The processing module 405 is configured to perform parsing and annotation processing on the historical scenario data to obtain multiple indoor scenarios and identification information for each indoor scenario, where the identification information is used to determine a target indoor scenario that matches the air treatment requirement.

[0139] Optionally, the processing module 405 is further configured to perform parsing processing on the air treatment requirement to obtain air treatment parameters;

[0140] The processing module 405 is further configured to perform screening and matching processing on the control parameter according to the air treatment parameter to obtain the target intelligent device, and the number of the target intelligent devices is one or more.

[0141] Optionally, the processing module 405 is further configured to perform screening processing on the environmental data to obtain indoor air data and outdoor air data;

[0142] The processing module 405 is further configured to determine adjustment data based on the air standard data and the indoor air data, where the air standard data is generated according to a real-time indoor scenario and the outdoor air data;

[0143] The generation module 403 is further configured to generate a device control instruction for the target intelligent device according to the air treatment requirement and the adjustment data.

[0144] Optionally, the processing module 405 is further configured to perform a matching process on the air treatment requirement and the identification information to obtain a target indoor scene and scene data of the target indoor scene;

[0145] The processing module 405 is further configured to perform a calculation process on the scene data and the outdoor air data according to a preset algorithm to obtain air standard data.

[0146] Optionally, the determining module 402 is further configured to determine an adjustment range of the target intelligent device according to the control parameter of the target intelligent device;

[0147] The determining module 402 is further configured to determine an adjustment value of the target intelligent device according to the adjustment data, the adjustment range, and the air treatment requirement, where the sum of the adjustment values is equal to the adjustment data and the adjustment values are within the adjustment range;

[0148] The determining module 402 is further configured to determine an operating state of the target intelligent device according to the adjustment value and generate a device control instruction for the target intelligent device.

[0149] Optionally, the device further includes: a judgment module 406;

[0150] The judgment module 406 is configured to judge whether there is a historical adjustment record according to the air treatment requirement;

[0151] The generating module 403 is further configured to, when there is the historical adjustment record, generate an intelligent device control instruction according to the adjustment method of the historical adjustment record and send the device control instruction to the target intelligent device;

[0152] The determining module 402 is further configured to, when there is no historical adjustment record, determine a target intelligent device and a device control instruction corresponding to the target intelligent device according to the air treatment requirement and the device data of the intelligent device.

[0153] The indoor air quality improvement device provided by the embodiment of the present application has an implementation principle and technical effects similar to those of each part in the foregoing indoor air quality improvement method, and will not be described in detail here.

[0154] Figure 5 It is a schematic structural diagram of an indoor air quality improvement device provided by the present application. As Figure 5 shown, the present application provides an indoor air quality improvement device. The indoor air quality improvement device 500 includes: a receiver 501, a transmitter 502, a processor 503, and a memory 504.

[0155] The receiver 501 is configured to receive instructions and data;

[0156] A transmitter 502 for transmitting instructions and data;

[0157] A memory 504 for storing computer-executable instructions;

[0158] A processor 503 for executing the computer-executable instructions stored in the memory 504 to implement each step performed by the method in the above embodiments. For details, please refer to the relevant descriptions in the foregoing method embodiments.

[0159] Optionally, the above memory 504 can be either independent or integrated with the processor 503.

[0160] When the memory 504 is independently provided, the electronic device further includes a bus for connecting the memory 504 and the processor 503.

[0161] For the implementation principle and technical effects of the electronic device provided in this embodiment, please refer to the foregoing embodiments, and details are not described herein again.

[0162] This application embodiment also provides a computer-readable storage medium, in which computer-executable instructions are stored. When the processor executes the computer-executable instructions, the method described in any of the foregoing embodiments is implemented.

[0163] This application embodiment also provides a computer program product, including a computer program, which implements the method described in any of the foregoing embodiments when executed by the processor.

[0164] The above integrated module implemented in the form of software functional modules can be stored in a computer-readable storage medium. The above software functional modules are stored in a storage medium and include several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute some steps of the method described in each embodiment of this application.

[0165] It should be understood that the above-mentioned processor may be a Central Processing Unit (CPU), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the method disclosed in combination with the application can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The memory may include high-speed RAM memory, and may also include non-volatile storage NVM, such as at least one disk memory, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a magnetic disk, or an optical disc, etc.

[0166] The above storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, magnetic disk or optical disc. The storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0167] An exemplary storage medium is coupled to the processor, enabling the processor to read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an Application Specific Integrated Circuit (ASIC). Of course, the processor and the storage medium can also exist as discrete components in an electronic device or a master control device.

[0168] It should be noted that in this article, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitations, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or device including the element.

[0169] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A method for improving indoor air quality, characterized in that: include: Acquire air treatment requirements and device data of multiple smart devices, wherein the device data includes: control parameters of the smart devices and environmental data detected by the smart devices; Determine a target smart device from a plurality of smart devices according to the air treatment demand and the control parameter, wherein the target smart device is a smart device that matches the air treatment demand among the plurality of smart devices; Generate a device control instruction for the target smart device according to the air standard data, the air treatment demand and the environmental data detected by the multiple smart devices, wherein the air standard data is generated according to the target indoor scene and the environmental data, and the device control instruction is used to instruct the target smart device to improve the indoor air quality; The device control instruction is sent to the target smart device.

2. The method according to claim 1, characterized in that Before obtaining the air treatment demand and the device data of multiple smart devices, the method further includes: Acquire historical scenario data, which is used to reflect specific indicators of air quality control set for different scenarios during the air governance process; The historical scene data is parsed and annotated to obtain multiple indoor scenes and identification information of each indoor scene, and the identification information is used to determine a target indoor scene that matches the air treatment demand.

3. The method according to claim 1, characterized in that The step of determining a target smart device from a plurality of smart devices according to the air treatment requirement and the control parameter includes: Analyze and process the air treatment requirements to obtain air treatment parameters; The control parameters are screened and matched according to the air treatment parameters to obtain the target smart device, and the number of the target smart devices is one or more.

4. The method according to claim 1, characterized in that The generating of the device control instruction of the target smart device according to the air standard data, the air treatment demand and the environmental data detected by the plurality of smart devices comprises: Screening and processing the environmental data to obtain indoor air data and outdoor air data; Determining adjustment data based on air standard data and the indoor air data, wherein the air standard data is generated according to a real-time indoor scene and the outdoor air data; Generate device control instructions for the target smart device based on the air treatment requirements and the adjustment data.

5. The method according to claim 4, characterized in that Before determining the adjustment data based on the air standard data and the indoor air data, the method further includes: Matching the air treatment demand with the identification information to obtain a target indoor scene and scene data of the target indoor scene; The scene data and the outdoor air data are calculated and processed according to a preset algorithm to obtain air standard data.

6. The method according to claim 4, characterized in that The generating of the device control instruction of the target smart device according to the air treatment demand and the adjustment data includes: Determining an adjustment range of the target smart device according to the control parameters of the target smart device; Determine an adjustment value of the target smart device according to the adjustment data, the adjustment range and the air treatment requirement, wherein the sum of the adjustment values ​​is equal to the adjustment data and the adjustment value is within the adjustment range; According to the adjustment value, the operating state of the target smart device is determined, and a device control instruction of the target smart device is generated.

7. The method according to claim 1, characterized in that The method further comprises: Determine whether there is a historical adjustment record based on the air treatment needs; In the case where the historical adjustment record exists, generating a smart device control instruction according to the adjustment method of the historical adjustment record, and sending the device control instruction to the target smart device; In the absence of the historical adjustment record, the target smart device and the device control instructions corresponding to the target smart device are determined according to the air treatment demand and the device data of the smart device.

8. A device for improving indoor air quality, characterized in that: include: An acquisition module, used to acquire air treatment requirements and device data of multiple smart devices, wherein the device data includes: control parameters of the smart devices and environmental data detected by the smart devices; A determination module, configured to determine a target smart device from a plurality of smart devices according to the air treatment requirement and the control parameter, wherein the target smart device is a smart device that matches the air treatment requirement among the plurality of smart devices; A generating module, configured to generate a device control instruction for the target smart device according to the air standard data, the air treatment demand and the environmental data detected by the plurality of smart devices, wherein the air standard data is generated according to the target indoor scene and the environmental data, and the device control instruction is used to instruct the target smart device to improve the indoor air quality; The sending module is used to send the device control instruction to the target smart device.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 7 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 7 through the computer program.

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