Fresh air system parameter configuration method and device based on Internet of Things
Through the Internet of Things technology, using smart terminals to detect data, optimize the operating parameters of the fresh air system, the problem of inaccurate data in traditional fresh air system regulation is solved, the accuracy and reliability of regulation are improved, and the cost and labor costs are reduced.
Patent Information
- Application Number
- CN202411713702.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-27
- Publication Date
- 2025-01-10
AI Technical Summary
The intelligent regulation of traditional fresh air systems relies on sensor data collection, and there are problems of inaccurate and incomplete data, resulting in insufficient precise regulation effect.
The parameter configuration method of the fresh air system based on the Internet of Things is adopted, and the indoor air condition is determined through intelligent terminal detection data, the operating parameters of the fresh air system are configured, and the target operation scenarios and modes are selected to optimize the air volume range and operation mode. .
It improves the accuracy and comprehensiveness of sensor data, improves the accuracy and reliability of intelligent regulation, reduces equipment layout costs and labor costs, and improves air detection coverage.
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Figure CN119289475A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of system control technology, and specifically to a method and device for configuring parameters of a fresh air system based on the Internet of Things. Background Art
[0002] With the rapid development of social economy and the improvement of living standards, traditional ventilation methods can no longer meet the needs of modern buildings for indoor environmental comfort and health. As an effective means of improving indoor air quality, the fresh air system significantly improves the comfort and health of the indoor environment by introducing fresh air from the outside and exhausting indoor polluted air. However, there are many shortcomings in the traditional control method, such as the inability to respond to indoor environmental changes in real time, high energy consumption, and poor user experience. In order to solve the above problems, intelligent control technology that realizes the automation and intelligent management of the fresh air system by integrating advanced technologies such as sensors, controllers, and communication modules has emerged. However, the intelligent control in the existing technology mostly relies on the sensors of the supporting equipment of the fresh air system for data collection, which not only requires a lot of manpower and material resources to deploy sensors, but also due to the limitations of the sensor deployment location, the collected data cannot fully and accurately reflect the actual situation of the indoor air, resulting in the inaccurate intelligent control effect of the fresh air system.
[0003] Therefore, how to overcome the above-mentioned technical problems and defects becomes a key issue that needs to be solved. Summary of the invention
[0004] The purpose of this application is to provide a fresh air system parameter configuration method and device based on the Internet of Things to solve the problems raised in the above-mentioned background technology, improve the accuracy and comprehensiveness of sensor data acquisition, and improve the accuracy and reliability of the intelligent control results of the fresh air system.
[0005] The technical solution of the embodiment of the present application is implemented as follows:
[0006] The present application provides a method for configuring parameters of a fresh air system based on the Internet of Things, the method comprising:
[0007] Based on the detection data of the air index by at least one first device, the indoor air condition is determined to obtain the first information; the first device represents a smart terminal connected to the same Internet of Things as the fresh air system;
[0008] Based on the first information, operating parameters of the fresh air system are configured.
[0009] In the above solution, configuring the operating parameters of the fresh air system based on the first information includes:
[0010] Based on the first information, determining the difference between the indoor air parameter and the outdoor air parameter to obtain second information; based on the second information, configuring the operating parameters of the fresh air system;
[0011] or,
[0012] Based on the first information, the difference between the indoor air parameters and the ideal air parameters is determined to obtain third information; based on the third information, the operating parameters of the fresh air system are configured.
[0013] In the above solution, the second information includes enthalpy difference information, and the enthalpy difference information represents the difference in enthalpy between indoor and outdoor. The step of configuring the operating parameters of the fresh air system based on the second information includes:
[0014] Based on the enthalpy value difference information in the second information, determining a target operating scenario from at least one preset operating scenario; different operating scenarios correspond to different air volume ranges;
[0015] Based on the air volume range of the target operating scenario, the operating parameters of the fresh air system are configured.
[0016] In the above solution, the target operation scenario is a low wind operation scenario or a high wind operation scenario; and determining the target operation scenario from at least one preset operation scenario based on the enthalpy difference information in the second information includes:
[0017] Based on the enthalpy difference information in the second information, determining whether the indoor and outdoor enthalpy difference is higher than a preset difference threshold;
[0018] When the difference between indoor and outdoor enthalpy values is higher than a preset difference threshold, the target operating scenario is determined to be a low-wind operating scenario, and the air volume range of the low-wind operating scenario is Q1~Q2; or, when the difference between indoor and outdoor enthalpy values is lower than or equal to the preset difference threshold, the target operating scenario is determined to be a high-wind operating scenario, and the air volume range of the high-wind operating scenario is Q3~Q4; wherein, Q1<Q2<Q3<Q4.
[0019] In the above scheme, the method further comprises:
[0020] Determine Q1 based on the difference between the actual carbon dioxide (CO2) volume fraction in the room and the ideal CO2 volume fraction;
[0021] Q4 is determined based on the difference between the actual PM2.5 concentration in the room and the ideal PM2.5 concentration.
[0022] In the above solution, the second information also includes air quality difference information, which represents the difference in air index values between indoors and outdoors; the air volume range based on the target operation scenario configures the operation parameters of the fresh air system, including:
[0023] Based on the second information, selecting a target operating mode from at least one preset operating mode;
[0024] Based on the air volume range of the target operating scenario, operating parameters of the fresh air system are configured in the target operating mode.
[0025] In the above solution, the step of determining the indoor air condition based on the detection data of the air index by at least one first device to obtain the first information includes:
[0026] Based on the authentication information of each first device, determining at least one second device that has passed the identity authentication from the at least one first device; the authentication information indicates whether the first device has passed the identity authentication;
[0027] Based on the detection data of each second device on the air index, the indoor air condition is determined to obtain the first information.
[0028] In the above scheme, the method further includes:
[0029] For each first device, based on the device ID of the first device, query whether there is registration information associated with the device ID;
[0030] In the case where there is registration information associated with the device ID, the authentication information indicates that the corresponding first device has passed identity authentication;
[0031] In the absence of registration information associated with the device ID, the authentication information indicates that the corresponding first device has failed identity authentication.
[0032] In the above solution, the indoor air condition is determined based on the detection data of the air index of each second device to obtain the first information, including:
[0033] For each air index, determining at least one third device for detecting the corresponding air index from the at least one second device;
[0034] Based on the data credibility of each third device, the data of the air index detected by all third devices are integrated to obtain integrated data of the corresponding air index; the data credibility is determined based on the registration information of the corresponding third device;
[0035] Based on the fused data of each air index, the indoor air condition is determined to obtain the first information.
[0036] The embodiment of the present application also provides a fresh air system parameter configuration device based on the Internet of Things, the device comprising:
[0037] A processing unit, configured to determine indoor air conditions based on detection data of air indicators by at least one first device, and obtain first information; the first device represents a smart terminal connected to the same Internet of Things as the fresh air system;
[0038] A control unit is used to configure operating parameters of the fresh air system based on the first information.
[0039] The Internet of Things-based fresh air system parameter configuration method and device provided in the embodiments of the present application improve the diversity and comprehensiveness of the sources of sensor data of the fresh air system by utilizing the detection data of other smart terminals in the Internet of Things, thereby improving the reliability and accuracy of the data source used for intelligent control, and then improving the accuracy and reliability of the intelligent control results, and enhancing the user experience; further, since the sensor detection function can be realized by utilizing existing equipment, the number of sensor devices installed in the fresh air system can be reduced, thereby reducing equipment costs and labor costs, and improving the deployment efficiency of the fresh air system. At the same time, the position of the smart terminal can be flexibly adjusted according to actual needs, thereby improving the coverage of indoor air detection positions and improving the comprehensiveness and accuracy of sensor data. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] Figure 1 A fresh air system parameter configuration Internet of Things system architecture diagram based on the Internet of Things provided in an embodiment of the present application;
[0041] Figure 2 A flow chart of a method for configuring fresh air system parameters based on the Internet of Things provided in an embodiment of the present application;
[0042] Figure 3 A schematic diagram of the process of S201 in the method for configuring fresh air system parameters based on the Internet of Things provided in an embodiment of the present application;
[0043] Figure 4 A schematic diagram of the process of S302 in the method for configuring fresh air system parameters based on the Internet of Things provided in an embodiment of the present application;
[0044] Figure 5 A schematic diagram of the structure of a fresh air system parameter configuration device based on the Internet of Things provided in an embodiment of the present application. DETAILED DESCRIPTION
[0045] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions 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 are within the scope of protection of this application.
[0046] The present application embodiment provides a fresh air system parameter configuration Internet of Things system based on the Internet of Things, such as Figure 1 As shown, the system may include at least one smart terminal 101, a fresh air system 102, an Internet of Things server 103, and a control terminal 104. The smart terminal 101, the fresh air system 102, the Internet of Things server 103, and the control terminal 104 are introduced below.
[0047] The intelligent terminal 101 is used to detect indoor air index values, such as CO2 concentration, PM2.5 concentration, temperature or humidity.
[0048] The fresh air system 102 is used to exchange indoor air and operates under the control of the control terminal 104.
[0049] The Internet of Things server 103 is used to receive the detection data of the smart terminal 101 and configure the operating parameters of the fresh air system 102 according to the received detection data; or, according to the configuration information of the operator for the fresh air system 102 sent by the control terminal 104; and is also used to control the operation of the fresh air system 102 through the control terminal 104.
[0050] The control terminal 104 is used to generate configuration information and send it to the Internet of Things server 103 according to the configuration operations for the fresh air system 102 input by the operator on the display interface; it is also used to receive control instructions for the fresh air system from the Internet of Things server 103 and configure the operating parameters of the fresh air system 102 according to the control instructions.
[0051] Based on the above architecture, the embodiment of the present application provides a method for configuring fresh air system parameters based on the Internet of Things, which is applied to electronic devices, and can be specifically applied to an Internet of Things server; Figure 2 As shown, the method may include S201 and S202. S201 and S202 are introduced below in conjunction with specific embodiments.
[0052] S201: Based on the detection data of air indicators by at least one first device, determine the indoor air condition and obtain first information; the first device represents a smart terminal connected to the same Internet of Things as the fresh air system.
[0053] In actual application, the fresh air system and the first device can be understood as terminal devices in the Internet of Things for detection and execution, the Internet of Things server is used for data processing and storage, and the control terminal can be used to communicate and interact with the server, and control the terminal devices in the Internet of Things (the fresh air system and the first device) through control instructions sent by the server or according to the input configuration information; the control terminal can be a terminal device running the Internet of Things control APP, specifically, it can be a computer, mobile terminal, smart wearable device or other smart terminal device.
[0054] Here, by connecting the fresh air system to the Internet of Things, integrated control of the fresh air system and other smart devices can be achieved. At the same time, by utilizing the integrated management design of the Internet of Things, information exchange between different devices can be achieved, that is, data sharing can be achieved between different devices, thereby breaking information silos and improving the diversity of data sources of the fresh air system, thereby reducing the cost of fresh air system sensor equipment while improving the accuracy and reliability of fresh air system data processing results.
[0055] In actual application, the air indicators can be understood as indicators associated with the fresh air system parameter control. For example, the air indicators may include quality indicators such as CO2 concentration, PM2.5 concentration and volatile organic compound (VOCs) concentration, and may also include temperature and humidity.
[0056] In actual application, in order to ensure the reliability of the detection data source, only the detection data of safety equipment can be used.
[0057] Based on this, in one embodiment, if Figure 3 As shown, the step of determining the indoor air condition based on the detection data of the air index by at least one first device and obtaining the first information, i.e., S201, may include:
[0058] S301: Based on authentication information of each first device, determine at least one second device that has passed identity authentication from the at least one first device; the authentication information indicates whether the first device has passed identity authentication;
[0059] S302: Based on the detection data of each second device on the air index, determine the indoor air condition and obtain first information.
[0060] In actual application, whether the device is authenticated is determined based on the device's registration information.
[0061] Based on this, in one embodiment, the method may further include determining authentication information; the determining authentication information may include:
[0062] For each first device, based on the device ID of the first device, query whether there is registration information associated with the device ID;
[0063] In the case where there is registration information associated with the device ID, the authentication information indicates that the corresponding first device has passed identity authentication;
[0064] In the absence of registration information associated with the device ID, the authentication information indicates that the corresponding first device has failed identity authentication.
[0065] In actual application, an association relationship between the device ID and the registration information can be established based on the device ID of the first device that has passed authentication, and a list of authenticated devices can be generated; when querying whether there is registration information associated with the device ID, the list of authenticated devices can be queried based on the device ID; for the queried ones, the corresponding registration information can be obtained from the database, and for the ones that are not queried, there is no need to obtain the registration information from the database.
[0066] In actual application, the second device may also be referred to as a trusted device, which is not limited in the embodiments of the present application, as long as its function can be realized.
[0067] Here, since the detection data comes from a device that has passed identity authentication, the reliability of the detection data source can be guaranteed, thereby improving the reliability of the fresh air system control results, while also ensuring the safe and smooth operation of other devices that use shared data in the entire Internet of Things system.
[0068] In actual application, when a smart terminal joins the Internet of Things, it can send a registration request to the Internet of Things server, and the registration request carries its own device information; wherein, the device information may include a unique identifier of the corresponding smart terminal (such as MAC address, IMEI number, serial number, etc.) to ensure the uniqueness of the device; the registration request may also carry the factory information of the smart terminal, including device model, production date, manufacturer information, etc., to ensure the authenticity and legality of the corresponding smart terminal; after receiving the registration request, the Internet of Things server verifies the device information of the terminal device, and for the smart terminal that passes the verification (i.e., the second device), it can be used as a safe terminal, and for the smart terminal that fails the verification, it can be used as a risky device; for the safe device, the corresponding registration information can be generated and stored, and an interface can be allocated for it to exchange information; accordingly, for the risky device, an interface can be allocated for it to be used for the device to upload data and receive control instructions from the Internet of Things server, but for the data uploaded by the device that fails the verification, the Internet of Things server will mark it and will not allow the data to be shared with other Internet of Things devices.
[0069] In actual application, a tag field may also be reserved in the registration information to mark each smart terminal.
[0070] In actual application, for smart terminals that have passed identity authentication (i.e., the second device), each smart terminal may have multiple detection functions. Accordingly, multiple devices may perform detection for the same indicator. Since the data detected by different devices may be different, in order to ensure the reliability of the data source and ultimately determine the accuracy of the air index data, different data can be fused according to the credibility of different data sources to obtain the final data detection result.
[0071] Based on this, in one embodiment, if Figure 4 As shown, the determination of indoor air conditions based on the detection data of air indicators of each second device to obtain first information, namely S302, may include S401 to S403. S401 to S403 are further described in detail below in conjunction with the embodiments.
[0072] S401: For each air index, determine at least one third device from the at least one second device for detecting the corresponding air index.
[0073] In actual application, multiple devices may detect the same air index, so there may be multiple data sources for the same index. For example, the air indexes detected by different smart terminals are shown in Table 1:
[0074] Table 1
[0075] Device Type Device Function Detection indicators Air quality detector Monitor indoor air quality PM2.5, VOCs, CO2, temperature, humidity, etc. Air Purifier Purify and filter indoor air PM2.5, VOCs, temperature, humidity, etc. Security System Security Monitoring Temperature, humidity, PM2.5, etc. Smart lighting Lighting and environmental detection Temperature, humidity, etc. Smart curtains Light Control Temperature, humidity, etc.
[0076] As shown in Table 1, all smart terminals can detect temperature and humidity, air quality detectors, air purifiers and security systems can detect PM2.5, and air quality detectors and air purifiers can detect VOCs.
[0077] In actual application, for each air index, the device used to detect the air index can be associated with the air index, that is, the device used to detect the air index can be used as the third device of the air index; the third device of each air index can be understood as a second device that can detect the air index and provide the air index detection data; the third device can also be called an associated device, and the embodiment of the present application does not limit this, as long as its function can be achieved.
[0078] S402: Based on the data credibility of each third device, the data of the air index detected by all third devices are integrated to obtain integrated data of the corresponding air index; the data credibility is determined based on the registration information of the corresponding third device.
[0079] In actual application, based on the data credibility of each third device, the data of the air indicators detected by all third devices are fused. It can be understood that for each air indicator, the data of the air indicator collected by all third devices corresponding to the air indicator are fused. During the data fusion process, the weight of the detection data corresponding to each third device is determined based on the credibility of each third device.
[0080] In actual application, the initial credibility of the device can be determined based on the smart terminal registration information, thereby determining the reliability of its information source; specifically, the initial credibility of the device data can be determined based on the completeness score and attribute score; among them, the completeness score can be determined based on the integrity of the registration information, and the attribute score can be determined based on the device attributes.
[0081] In actual application, points can be assigned for each scoring factor in the registration information, and the total score of all scoring factors is the completeness score of the registration information; the scoring factors for assigning points to the integrity of the registration information may include: device ID, device model, production date, manufacturer information, firmware version, certificate information, physical location and user information.
[0082] Specifically, an initial score may be assigned to each scoring factor, and then each scoring factor may be scored based on whether these scoring factors exist in the registration information to obtain a registration information integrity score, namely, a completeness score.
[0083] For example, in the integrity scoring process, the scoring statistical results of each scoring factor are shown in Table 2:
[0084] Table 2
[0085] Scoring factors Does it exist? Scoring results (scoring / allocation of scores) Device ID yes 20 / 20 Device Model yes 15 / 15 Production Date yes 5 / 5 Manufacturer Information no 0 / 15 Firmware version yes 5 / 5 Certificate Information yes 20 / 20 Physical Location no 0 / 5 User Information yes 5 / 5
[0086] In actual application, a score can be assigned to each scoring factor in the preset attribute list of the device, and the sum of all attribute scores is the attribute score of the device; specifically, the device attributes can be scored according to the following scoring factors to obtain the attribute score:
[0087] Type of device;
[0088] Equipment manufacturer's creditworthiness;
[0089] Device configuration.
[0090] In actual application, each scoring factor in the attribute list can represent a device attribute. The total score of all device attributes is a fixed score. A corresponding score is assigned to each device attribute. When assigning the score to each scoring factor, it can be assigned according to the importance of the corresponding device attribute to the Internet of Things, that is, the assigned score increases with the increase of the importance of the device attribute; specifically, the scores of device type, device manufacturer credit, and device configuration decrease in turn.
[0091] Among them, for device type, the device type can reflect the importance of the device to the Internet of Things. Therefore, a relatively high initial trust score should be given. For example, the initial credibility score of devices that control security systems (such as smart door locks, cameras, etc.) is higher than that of lighting systems; for the creditworthiness of device manufacturers, the creditworthiness of device manufacturers can be scored based on the manufacturer's rating and product quality history data. For example, manufacturers with well-known trademarks have higher scores than ordinary manufacturers, and manufacturers that have not had security vulnerabilities and quality problems within a year have higher scores than manufacturers with security vulnerabilities or quality problems; for device configuration, the security of the device can be determined based on the device configuration, for example, whether the device has physical protection measures, whether there is a default password or open port, etc.
[0092] In actual application, after the completeness score and the attribute score are determined, in order to ensure the uniformity of the data, the completeness score and the attribute score can be normalized to obtain the initial credibility of the corresponding smart terminal; illustratively, the initial credibility of the smart terminal can be expressed as:
[0093]
[0094] Among them, R i represents the initial credibility of intelligent terminal i, S i Indicates the completeness score, S total Indicates the total score of completeness, S i ′ represents the attribute score, S total ′ represents the total score of the attribute, α and β are coefficients, and α+β=1.
[0095] In actual application, in order to further ensure the reliability and accuracy of the data source, the importance of the smart terminal can be introduced on the basis of considering the trust; specifically, the smart terminals can be divided into multiple priorities according to the task importance of the smart terminals, and the priority identifier used to indicate the priority can be written in the tag field reserved in the registration information; the priority identifiers of smart terminals of different levels are different.
[0096] Exemplarily, the priority identifiers carried in the registration information summary are divided into "01xx", "02xx", and "03xx", where the priorities represented by the three priority identifiers decrease in sequence. The device information corresponding to different identifiers is shown in Table 3:
[0097] Table 3
[0098] Priority Identifier Device Type Task Type 01xx Key Equipment Medical equipment, security systems, etc. 02xx Important but non-critical equipment Thermostat, lighting, etc. 03xx Common equipment Humidifier, washing machine, etc.
[0099] During the execution of S402, that is, in the process of fusing the data of the air indicators detected by all third devices based on the data credibility of each third device to obtain the fused data of the corresponding air indicators, the weight of each third device can be determined according to the initial credibility and priority of each third device, and according to the weight of each third device, the detection data of all third devices can be fused to obtain the fused data of the corresponding air indicators.
[0100] Based on this, in one embodiment, based on the data credibility of each third device, the data of the air index detected by all third devices are fused to obtain fused data of the corresponding air index, that is, S402, which may include:
[0101] Determining a weight of each third device according to the initial credibility and priority of each third device;
[0102] According to the weight of each third device, the detection data of all the third devices are fused to obtain fused data of the corresponding air index.
[0103] In actual application, in the process of determining the weight of each third device according to the initial credibility and priority of each third device, a weight factor may be configured for each priority first, and then the corresponding initial credibility may be updated according to the weight factor of each device.
[0104] Based on this, in one embodiment, determining the weight of each third device according to the initial credibility and priority of each third device may include:
[0105] Based on the priority of each third device, determining a weight factor corresponding to the third device;
[0106] The corresponding initial credibility is updated by using the weight factor to obtain the corresponding data initial credibility.
[0107] In actual application, the weight factor of each priority level may be pre-configured, and the weight factor increases as the priority level increases.
[0108] For example, in descending order of priority, the weight factors of the three priorities shown in Table 3 are configured as 1.2, 1, and 0.8, respectively. The priority identifier carried in the registration information of smart terminal A is "03xx", and the final initial credibility of the device is 0.8R A .
[0109] In actual application, the operator can also configure the data credibility of each second device through the control terminal; specifically, for each second device, multiple pre-options of data credibility can be presented on the display interface of the control terminal, such as 100%, 80%, 60%, and 50%; at the same time, the authentication information of each second device can also be displayed, such as passed or failed authentication; the operator performs configuration operations on the display interface of the control terminal, and then the control terminal generates configuration information according to the configuration operations of the operator and sends it to the Internet of Things server, and the Internet of Things server generates and stores the data credibility of each second device according to the configuration information; after the third device of each air indicator is determined, the data credibility of the device can be called from the database.
[0110] After the credibility of the data of all third devices is determined, the weight of each third device detection data can be allocated according to the credibility distribution, so as to perform data fusion on all the third device detection data to obtain corresponding fused data.
[0111] S403: Determine indoor air conditions based on the fused data of each air index and obtain first information.
[0112] In actual application, the fused data of each air indicator can be understood as the actual value of the corresponding air indicator. According to the actual value of each air indicator, the specific conditions of indoor air, such as temperature and humidity, air quality, etc., can be understood, which can be used to guide the adjustment of subsequent fresh air system operating parameters.
[0113] S202: Based on the first information, configure operating parameters of the fresh air system.
[0114] In actual application, the current operating environment can be determined based on the difference in indoor and outdoor air, so that targeted adjustments can be made for different operating scenarios to improve the timeliness and accuracy of the control process, thereby improving the user experience.
[0115] Based on this, in one embodiment, configuring the operating parameters of the fresh air system based on the first information may include:
[0116] Based on the first information, determining the difference between the indoor air parameter and the outdoor air parameter to obtain second information; based on the second information, configuring the operating parameters of the fresh air system;
[0117] or,
[0118] Based on the first information, the difference between the indoor air parameters and the ideal air parameters is determined to obtain third information; based on the third information, the operating parameters of the fresh air system are configured.
[0119] In actual application, indoor air parameters can be understood as the actual values of indoor air indicators, and ideal air parameters can be understood as ideal values. In the actual control process, the ideal air parameters can be used as the control target, and specific control strategies can be formulated based on the difference between the actual air indicators and the control targets.
[0120] In actual application, the ideal air parameters can be determined according to the design state point of the fresh air system; the design state point, whose full English name is Design State Point, refers to the optimal state of the expected operation of the fresh air system under specific indoor and outdoor environmental conditions; these state points usually include parameters such as temperature, humidity, and air volume, which are used to ensure that the fresh air system can effectively provide the required air quality and comfort; the design state point may include a set of ideal operating parameters determined by the fresh air system during the design phase, specifically, it may include indoor design parameters, outdoor design parameters, fresh air system parameters and other parameters.
[0121] For example, the ideal operating parameters corresponding to the design state points are shown in Table 4:
[0122] Table 4
[0123]
[0124] It should be pointed out that the embodiments of the present application are intended to solve the problem of how to improve the accuracy and reliability of input data in the process of using input data to formulate a control strategy for the fresh air system. As for how to regulate the various parameters of the fresh air system based on the difference between the actual value of the air index and the control target, that is, how to formulate a specific control strategy, it is a mature technology available in the field and will not be elaborated in the embodiments of the present application.
[0125] In actual application, different operating scenarios can be distinguished according to the difference in indoor and outdoor enthalpy values, so that targeted regulation can be carried out for different operating scenarios.
[0126] Based on this, in one embodiment, the second information includes enthalpy difference information, and the enthalpy difference information represents the difference in enthalpy between indoor and outdoor. Configuring the operating parameters of the fresh air system based on the second information may include:
[0127] Based on the enthalpy value difference information in the second information, determining a target operating scenario from at least one preset operating scenario; different operating scenarios correspond to different air volume ranges;
[0128] Based on the air volume range of the target operating scenario, the operating parameters of the fresh air system are configured.
[0129] In actual application, based on the enthalpy difference information in the second information, the target operating scenario is determined from at least one preset operating scenario. It can be understood that, based on the enthalpy difference information, it is judged whether the difference in indoor and outdoor enthalpy values exceeds the difference threshold, and based on the judgment result, the current operating scenario of the fresh air system, that is, the target operating scenario, is determined.
[0130] In actual application, due to the difference in indoor and outdoor enthalpy values of different types, the indoor and outdoor temperature conditions and air quality conditions will also be different. At this time, by configuring the control targets for different operating scenarios, specifically, configuring the threshold for controlling the air volume, the accuracy of the control process can be improved; at the same time, since a more accurate air volume range is given, the time required to reach the target indicator during the control process can be reduced, thereby improving the control efficiency.
[0131] Based on this, in one embodiment, the target operating scenario is a low wind operating scenario or a high wind operating scenario; and determining the target operating scenario from at least one preset operating scenario based on the enthalpy difference information in the second information may include:
[0132] Based on the enthalpy difference information in the second information, determining whether the indoor and outdoor enthalpy difference is higher than a preset difference threshold;
[0133] When the difference between indoor and outdoor enthalpy values is higher than a preset difference threshold, the target operation scenario is determined to be a low-wind operation scenario; or, when the difference between indoor and outdoor enthalpy values is lower than or equal to a preset difference threshold, the target operation scenario is determined to be a high-wind operation scenario; wherein,
[0134] The air volume range of the low wind operation scenario is Q1-Q2, the air volume range of the high wind operation scenario is Q3-Q4, and Q1<Q2<Q3<Q4.
[0135] In actual application, in low-wind operation scenarios, the difference between indoor and outdoor enthalpy values is large. At this time, the smaller the fresh air volume, the better the comprehensive performance of indoor air temperature, humidity and air quality. For example, in hot or cold weather, reducing the fresh air volume can reduce the impact of outdoor hot air or cold air on indoor temperature; relatively speaking, in high-wind operation scenarios, the difference between indoor and outdoor enthalpy values is small. The larger the fresh air volume, the better the comprehensive performance of indoor air temperature, humidity and air quality. For example, in relatively mild weather, making full use of fresh air can improve indoor air circulation and improve indoor air quality.
[0136] In actual application, in low-wind operation scenarios, although a smaller air volume is beneficial to the impact of outdoor air on the indoor environment, a lower air circulation volume will also cause the accumulation of indoor CO2 volume fraction; therefore, in order to ensure that the indoor CO2 concentration is at an acceptable level, the minimum fresh air volume can be determined based on the difference between the indoor CO2 volume fraction and the ideal CO2 volume fraction.
[0137] Based on this, in one embodiment, the method may further include:
[0138] Q1 is determined based on the difference between the actual CO2 volume fraction in the room and the ideal CO2 volume fraction.
[0139] For example, the minimum fresh air volume Q1 can be expressed as:
[0140]
[0141] Where P is the indoor CO2 release, C s is the ideal CO2 volume fraction in the room, C s is the actual CO2 volume fraction in the room, and k1 is the coefficient.
[0142] In actual application, in high-wind operation scenarios, although a larger air volume is conducive to improving indoor air circulation effects, mild weather is often accompanied by higher concentrations of PM2.5. In order to ensure that the impact of outdoor PM2.5 on indoor air is within a controllable range, the maximum fresh air volume can be determined based on the difference between the fresh air and the ideal CO2 volume fraction.
[0143] Based on this, in one embodiment, the method may further include:
[0144] Q4 is determined based on the difference between the actual PM2.5 concentration in the room and the ideal PM2.5 concentration.
[0145] For example, the maximum fresh air volume can be expressed as:
[0146]
[0147] Among them, N s is the ideal PM2.5 concentration indoors, N2 is the actual PM2.5 concentration indoors, and N o is the actual outdoor PM2.5 concentration, V is the indoor area, and k2 is the coefficient.
[0148] In actual application, in order to further improve the accuracy of the control results, different operating modes can be customized for each operating scenario, and different control strategies can be configured for different operating modes, so that the matching operating mode can be flexibly selected according to the difference in air quality.
[0149] Based on this, in one embodiment, the second information further includes air quality difference information, and the air quality difference information represents the difference in air index values between indoors and outdoors; the air volume range based on the target operation scenario, configuring the operation parameters of the fresh air system, may include:
[0150] Based on the second information, selecting a target operating mode from at least one preset operating mode;
[0151] Based on the air volume range of the target operating scenario, operating parameters of the fresh air system are configured in the target operating mode.
[0152] In actual application, the operation mode includes one of the following:
[0153] Hot exchange mode;
[0154] Bypass mode;
[0155] Internal circulation mode.
[0156] In actual application, in the heat exchange mode, indoor and outdoor air can exchange heat while circulating, avoiding affecting the indoor temperature or increasing the burden of air conditioning / floor heating, and achieving high efficiency and energy saving; in the bypass mode, the heat exchange step is skipped, and the outdoor fresh air is introduced into the room after being purified by the filter, avoiding outdoor catkins, pollen and other allergenic substances from entering the room; in the internal circulation mode, the indoor air can be purified and then re-introduced into the room for circulation, avoiding the outdoor impurities from being introduced into the room and increasing the burden on the filter.
[0157] In actual application, the operating parameters of each operating mode can be configured separately for each operating scenario; in the application process, the difference between each indoor and outdoor air index can be determined according to the second information, and the matching operating mode can be judged according to the difference between each air index; specifically, when the indoor and outdoor temperature difference exceeds the preset threshold, the target operating mode can be the heat exchange mode; when the indoor and outdoor VOCs difference exceeds the preset threshold, the target operating mode can be the bypass mode; when the indoor and outdoor PM2.5 concentration difference exceeds the preset threshold, the target operating mode can be the internal circulation mode.
[0158] In actual application, the outdoor air conditions can also be determined according to the weather forecast, so as to judge the target operation mode. For example, when there is a lot of dust and catkins, the bypass mode can be entered. In sandstorms, haze and other weather conditions, the internal circulation mode can be entered.
[0159] In actual application, the operation mode can also be automatic mode. In automatic mode, the fresh air function can be automatically turned on according to the detected PM2.5 concentration or VOCs value; of course, the specific operation mode can also be determined according to the configuration operation of the operator.
[0160] In summary, the fresh air system parameter configuration method based on the Internet of Things provided in the embodiment of the present application improves the diversity and comprehensiveness of the sensor data sources of the fresh air system by utilizing the detection data of other smart terminals in the Internet of Things, thereby improving the reliability and accuracy of the data source used for intelligent control, and then improving the accuracy and reliability of the intelligent control results, thereby enhancing the user experience; further, since the sensor detection function can be realized by utilizing existing equipment, the number of sensor devices installed in the fresh air system can be reduced, thereby reducing equipment costs and labor costs, and improving the deployment efficiency of the fresh air system. At the same time, the position of the smart terminal can be flexibly adjusted according to actual needs, thereby improving the coverage of indoor air detection positions and improving the comprehensiveness and accuracy of sensor data.
[0161] In order to implement the fresh air system parameter configuration method based on the Internet of Things of the present application, the embodiment of the present application also provides a fresh air system parameter configuration device based on the Internet of Things, which is set on an electronic device, such as Figure 5 As shown, the device may include:
[0162] The processing unit 501 is used to determine the indoor air condition based on the detection data of the air index of at least one first device, and obtain the first information; the first device represents the smart terminal connected to the same Internet of Things as the fresh air system;
[0163] The control unit 502 is used to configure the operating parameters of the fresh air system based on the first information.
[0164] In one embodiment, the control unit 502 may be specifically configured to:
[0165] Based on the first information, determining the difference between the indoor air parameter and the outdoor air parameter to obtain second information; based on the second information, configuring the operating parameters of the fresh air system;
[0166] or,
[0167] Based on the first information, the difference between the indoor air parameters and the ideal air parameters is determined to obtain third information; based on the third information, the operating parameters of the fresh air system are configured.
[0168] In one embodiment, the second information includes enthalpy difference information, and the enthalpy difference information represents the difference in enthalpy between indoor and outdoor. Configuring the operating parameters of the fresh air system based on the second information may include:
[0169] Based on the enthalpy value difference information in the second information, determining a target operating scenario from at least one preset operating scenario; different operating scenarios correspond to different air volume ranges;
[0170] Based on the air volume range of the target operating scenario, the operating parameters of the fresh air system are configured.
[0171] In one embodiment, the target operating scenario is a low wind operating scenario or a high wind operating scenario; and determining the target operating scenario from at least one preset operating scenario based on the enthalpy difference information in the second information may include:
[0172] Based on the enthalpy difference information in the second information, determining whether the indoor and outdoor enthalpy difference is higher than a preset difference threshold;
[0173] When the difference between indoor and outdoor enthalpy values is higher than a preset difference threshold, the target operating scenario is determined to be a low-wind operating scenario, and the air volume range of the low-wind operating scenario is Q1~Q2; or, when the difference between indoor and outdoor enthalpy values is lower than or equal to the preset difference threshold, the target operating scenario is determined to be a high-wind operating scenario, and the air volume range of the high-wind operating scenario is Q3~Q4; wherein, Q1<Q2<Q3<Q4.
[0174] In one embodiment, the control unit 502 may also be used to:
[0175] Determine Q1 based on the difference between the actual CO2 volume fraction in the room and the ideal CO2 volume fraction;
[0176] Q4 is determined based on the difference between the actual PM2.5 concentration in the room and the ideal PM2.5 concentration.
[0177] In one embodiment, the second information further includes air quality difference information, wherein the air quality difference information represents the difference in air index values between indoor and outdoor air; and configuring the operating parameters of the fresh air system based on the air volume range of the target operating scenario may include:
[0178] Based on the second information, selecting a target operating mode from at least one preset operating mode;
[0179] Based on the air volume range of the target operating scenario, operating parameters of the fresh air system are configured in the target operating mode.
[0180] In one embodiment, the processing unit 501 may be specifically configured to:
[0181] Based on the authentication information of each first device, determining at least one second device that has passed the identity authentication from the at least one first device; the authentication information indicates whether the first device has passed the identity authentication;
[0182] Based on the detection data of each second device on the air index, the indoor air condition is determined to obtain the first information.
[0183] In one embodiment, the processing unit 501 may also be used for:
[0184] For each first device, based on the device ID of the first device, query whether there is registration information associated with the device ID;
[0185] In the case where there is registration information associated with the device ID, the authentication information indicates that the corresponding first device has passed identity authentication;
[0186] In the absence of registration information associated with the device ID, the authentication information indicates that the corresponding first device has failed identity authentication.
[0187] In one embodiment, determining the indoor air condition based on the detection data of each second device for the air index and obtaining the first information may include:
[0188] For each air index, determining at least one third device for detecting the corresponding air index from the at least one second device;
[0189] Based on the data credibility of each third device, the data of the air index detected by all third devices are integrated to obtain integrated data of the corresponding air index; the data credibility is determined based on the registration information of the corresponding third device;
[0190] Based on the fused data of each air index, the indoor air condition is determined to obtain the first information.
[0191] It should be noted that: the fresh air system parameter configuration device based on the Internet of Things provided in the above embodiment only uses the division of the above program modules as an example when performing the fresh air system parameter configuration based on the Internet of Things. In actual applications, the above processing can be assigned to different program modules as needed, that is, the internal structure of the device is divided into different program modules to complete all or part of the processing described above. In addition, the fresh air system parameter configuration device based on the Internet of Things provided in the above embodiment and the fresh air system parameter configuration method embodiment based on the Internet of Things belong to the same concept. The specific implementation process is detailed in the method embodiment, which will not be repeated here.
[0192] It should be noted that: "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.
[0193] In addition, the technical solutions described in the embodiments of the present application can be combined arbitrarily without conflict.
[0194] The above description is only a preferred embodiment of the present application and is not intended to limit the protection scope of the present application.
Claims
1. A fresh air system parameter configuration method based on the Internet of Things, characterized in that: The method comprises: Based on the detection data of the air index by at least one first device, the indoor air condition is determined to obtain the first information; the first device represents a smart terminal connected to the same Internet of Things as the fresh air system; Based on the first information, operating parameters of the fresh air system are configured.
2. The method according to claim 1, characterized in that The configuring the operating parameters of the fresh air system based on the first information includes: Based on the first information, determining the difference between the indoor air parameter and the outdoor air parameter to obtain second information; based on the second information, configuring the operating parameters of the fresh air system; or, Based on the first information, the difference between the indoor air parameters and the ideal air parameters is determined to obtain third information; based on the third information, the operating parameters of the fresh air system are configured.
3. The method according to claim 2, characterized in that The second information includes enthalpy difference information, and the enthalpy difference information represents the difference in enthalpy between indoor and outdoor. The configuring the operating parameters of the fresh air system based on the second information includes: Based on the enthalpy value difference information in the second information, determining a target operating scenario from at least one preset operating scenario; different operating scenarios correspond to different air volume ranges; Based on the air volume range of the target operating scenario, the operating parameters of the fresh air system are configured.
4. The method according to claim 3, characterized in that The target operation scenario is a low wind operation scenario or a high wind operation scenario; and determining the target operation scenario from at least one preset operation scenario based on the enthalpy difference information in the second information includes: Based on the enthalpy difference information in the second information, determining whether the indoor and outdoor enthalpy difference is higher than a preset difference threshold; When the difference between indoor and outdoor enthalpy values is higher than a preset difference threshold, the target operating scenario is determined to be a low-wind operating scenario, and the air volume range of the low-wind operating scenario is Q1~Q2; or, when the difference between indoor and outdoor enthalpy values is lower than or equal to the preset difference threshold, the target operating scenario is determined to be a high-wind operating scenario, and the air volume range of the high-wind operating scenario is Q3~Q4; wherein, Q1<Q2<Q3<Q4.
5. The method according to claim 4, characterized in that The method further comprises: Determine Q1 based on the difference between the actual CO2 volume fraction in the room and the ideal CO2 volume fraction; Q4 is determined based on the difference between the actual PM2.5 concentration in the room and the ideal PM2.5 concentration.
6. The method according to claim 3, characterized in that The second information also includes air quality difference information, which represents the difference in air index values between indoors and outdoors; the air volume range based on the target operation scenario, and the configuration of the operation parameters of the fresh air system, include: Based on the second information, selecting a target operating mode from at least one preset operating mode; Based on the air volume range of the target operating scenario, operating parameters of the fresh air system are configured in the target operating mode.
7. The method according to any one of claims 1 to 6, wherein determining the indoor air condition based on the detection data of the air index by at least one first device to obtain the first information comprises: Based on the authentication information of each first device, determining at least one second device that has passed identity authentication from the at least one first device; The authentication information indicates whether the first device passes identity authentication; Based on the detection data of each second device on the air index, the indoor air condition is determined to obtain the first information.
8. The method according to claim 7, characterized in that The method further comprises: For each first device, based on the device ID of the first device, query whether there is registration information associated with the device ID; In the case where there is registration information associated with the device ID, the authentication information indicates that the corresponding first device has passed identity authentication; In the absence of registration information associated with the device ID, the authentication information indicates that the corresponding first device has failed identity authentication.
9. The method according to claim 7, characterized in that: The method of determining the indoor air condition based on the detection data of the air index by each second device to obtain the first information includes: For each air index, determining at least one third device for detecting the corresponding air index from the at least one second device; Based on the data credibility of each third device, the data of the air index detected by all third devices are integrated to obtain integrated data of the corresponding air index; the data credibility is determined based on the registration information of the corresponding third device; Based on the fused data of each air index, the indoor air condition is determined to obtain the first information.
10. A fresh air system parameter configuration device based on the Internet of Things, characterized in that: The device comprises: A processing unit, configured to determine indoor air conditions based on detection data of air indicators by at least one first device, and obtain first information; the first device represents a smart terminal connected to the same Internet of Things as the fresh air system; A control unit is used to configure operating parameters of the fresh air system based on the first information.