An IoT-based monitoring method and system for a warm air blower

Abstract

The present invention relates to the technical field of heater monitoring, and specifically discloses an Internet of Things-based heater monitoring method and system. The heater includes a blower and a heating component, and is applied to an Internet of Things monitoring module, including: obtaining real-time indoor environmental information and set operating status information of the heater based on the Internet of Things monitoring module, wherein the set operating status information includes obtaining the air outlet speed value of the blower and the heating power value of the heating component; obtaining multiple divided areas according to the real-time indoor environmental information, and obtaining the regional air resistance value and temperature diffusion value of each divided area; obtaining the corresponding regional air flow obstruction value of each divided area according to the regional air resistance value, and calculating the indoor air flow attenuation degree according to the air outlet speed value and the regional air flow obstruction values corresponding to all divided areas. The present invention accurately calculates the air flow attenuation degree, clearly presents the details of air flow loss, and helps to reasonably allocate the wind speed to make the heat evenly distributed.

Description

Technical Field

[0001] The present invention relates to the technical field of heater monitoring, and in particular to a heater monitoring method and system based on the Internet of Things. Background Art

[0002] A heater is a common household and commercial heating device, widely used to increase the indoor temperature, especially in cold seasons. Traditional heaters usually adopt simple mechanical or electronic control methods, and users control the indoor temperature by manually adjusting the wind speed and heating power.

[0003] Existing heater monitoring methods have multiple deficiencies. For example, only focusing on temperature while ignoring humidity leads to incomplete indoor environment monitoring; unable to accurately calculate the indoor temperature based on humidity and real-time heating time results in low control accuracy; lacking real-time temperature difference feedback makes it difficult for users to timely understand the indoor temperature change; unable to automatically adjust the operating state according to the temperature difference causes large fluctuations in indoor temperature and affects comfort. Summary of the Invention

[0004] The purpose of the present invention is to provide a heater monitoring method and system based on the Internet of Things to solve the technical problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A heater monitoring method based on the Internet of Things, the heater includes a fan and a heating component, and is applied to an Internet of Things monitoring module, including:

[0007] Obtaining real-time indoor environmental information and set operating state information of the heater based on the Internet of Things monitoring module, wherein the set operating state information includes obtaining the air outlet speed value of the fan and the heating power value of the heating component;

[0008] Obtaining multiple divided areas according to the real-time indoor environmental information, and obtaining the regional air resistance value and temperature diffusion value of each divided area;

[0009] Obtaining the corresponding regional air flow obstruction value of each divided area according to the regional air resistance value, and calculating the indoor air flow attenuation degree according to the air outlet speed value and the regional air flow obstruction values corresponding to all divided areas;

[0010] Obtaining the outlet air temperature value of the heater according to the heating power value and the air outlet speed value, and obtaining the indoor heating attenuation degree according to the outlet air temperature value of the heater and the temperature diffusion values of all divided areas;

[0011] Calculating the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree, and calculating the indoor heating efficiency value according to the air heating degree;

[0012] Determine whether the indoor heating efficiency value is within a preset threshold range;

[0013] If the indoor heating efficiency value is within the preset threshold range, it is determined that the set operating state information does not need to be adjusted;

[0014] If the indoor heating efficiency value is not within the preset threshold range, it is determined that the set operating state information needs to be adjusted, and adjusted operating state information is generated based on the indoor heating efficiency value, and the heater is adjusted based on the adjusted operating state information.

[0015] Preferably, the step of obtaining a plurality of divided areas according to the indoor real-time environment information and obtaining the regional air resistance value and temperature diffusion value of each divided area includes:

[0016] Obtain indoor space information according to the indoor real-time environment information, wherein the indoor space information includes indoor length, indoor width and indoor height;

[0017] Establish a three-dimensional coordinate system according to the indoor length, indoor width and indoor height;

[0018] Obtain the position coordinates of the heater in the three-dimensional coordinate system;

[0019] Obtain the farthest distance from the position coordinates to the edge of the three-dimensional coordinate system;

[0020] Perform equidistant division on the farthest distance to obtain a plurality of equal division distance values;

[0021] Generate divided areas based on each of the equal division distance values;

[0022] Obtain the air humidity value and air initial temperature value of each divided area;

[0023] Obtain the regional air resistance value corresponding to each divided area according to the air humidity value and air initial temperature value;

[0024] Obtain the air flow velocity of each divided area;

[0025] Obtain the heat source distance from each divided area to the heater;

[0026] Obtain the temperature diffusion value according to the air flow velocity and the heat source distance.

[0027] Preferably, the step of obtaining the regional air flow resistance value corresponding to each divided area according to the regional air resistance value and calculating the indoor air flow attenuation degree according to the air outlet velocity value and the regional air flow resistance value includes:

[0028] Obtain the highest position coordinates of each divided area and the position coordinates of the heater;

[0029] Obtain the height difference corresponding to each divided area according to the highest position and the lowest position;

[0030] Obtain the air viscosity value corresponding to each divided area according to the height difference;

[0031] Obtain the regional air flow resistance value according to the air viscosity value and the regional air resistance value;

[0032] Obtain the air flow loss coefficient according to the regional air flow resistance value;

[0033] Obtain the air outlet speed value of the heater;

[0034] Calculate the remaining air flow speed value passing through the first divided area according to the air outlet speed value, where the calculation formula is:

[0035] ;

[0036] Wherein, represents the remaining air flow speed value of the first divided area, represents the air outlet speed value, k represents the air flow loss coefficient, and R represents the regional air flow resistance value;

[0037] Calculate the air flow attenuation degree corresponding to the divided area according to the remaining air flow speed value, where the calculation formula is:

[0038] ;

[0039] Wherein, represents the air flow attenuation degree of the i-th divided area, represents the remaining air flow speed value of the i-th divided area, represents the remaining air flow speed value of the (i - 1)-th divided area;

[0040] Calculate the indoor air flow attenuation degree according to the air flow attenuation degrees corresponding to all divided areas, where the calculation formula is:

[0041] ;

[0042] Wherein, X represents the indoor air flow attenuation degree, w represents the air flow attenuation weight coefficient, represents the air flow attenuation value of the i-th divided area, and n represents the total number of divided areas.

[0043] Preferably, the step of obtaining the air outlet temperature value of the heater according to the heating power value and the air outlet speed value, and obtaining the indoor heating attenuation degree according to the air outlet temperature value of the heater and the temperature diffusion values of all divided areas includes:

[0044] Obtain the air heating value according to the heating power value;

[0045] Obtain the heat loss value of the heater

[0046] Obtain the outlet air temperature value of the heater according to the air heating degree, heat loss value and outlet air velocity value

[0047] Take the outlet air temperature value of the heater as the initial temperature of the first divided area

[0048] Obtain the remaining heating temperature value according to the temperature diffusion value and initial temperature corresponding to the first divided area

[0049] Obtain the heating attenuation degree corresponding to the first divided area according to the remaining heating temperature value and initial temperature

[0050] Obtain the indoor heating attenuation degree according to the heating attenuation degrees corresponding to all the divided areas

[0051] Preferably, the step of calculating the indoor air heating degree according to the indoor air flow attenuation degree and heating attenuation degree includes:

[0052] Obtain the indoor air flow attenuation degree

[0053] Obtain the heating attenuation degree

[0054] Calculate the indoor air heating degree according to the indoor air flow attenuation degree and heating attenuation degree, where the calculation formula is:

[0055] ;

[0056] where Q represents the indoor air heating degree, X represents the indoor air flow attenuation degree, and Y represents the heating attenuation degree

[0057] Preferably, the step of calculating the indoor heating efficiency value according to the air heating degree includes:

[0058] Obtain the specific heat capacity of air according to the real-time environmental information

[0059] Obtain the air heating degree

[0060] Obtain the indoor volume according to the indoor space information

[0061] Obtain the heating time of the heater

[0062] Obtain the heating power value

[0063] Calculate the indoor heating efficiency value according to the specific heat capacity of air, air heating degree, indoor volume, heating time and heating power value, where the calculation formula is:

[0064] ;

[0065] Among them, μ represents the indoor heating efficiency value, e represents the specific heat capacity of air, and Q represents the air heating degree;

[0066] o represents the indoor volume, P represents the heating power value, and t represents the heating time.

[0067] The present invention also discloses an Internet of Things-based heater monitoring system, which is applied to the Internet of Things monitoring module and includes:

[0068] The first acquisition module is used to acquire the indoor real-time environmental information and the set operating state information of the heater based on the Internet of Things monitoring module. Among them, the set operating state information includes the air outlet speed value of the fan and the heating power value of the heating component;

[0069] The second acquisition module is used to acquire a plurality of divided areas according to the indoor real-time environmental information, and acquire the regional air resistance value and temperature diffusion value of each divided area;

[0070] The first calculation module is used to obtain the corresponding regional air flow resistance value of each divided area according to the regional air resistance value, and calculate the indoor air flow attenuation degree according to the air outlet speed value and the regional air flow resistance values corresponding to all divided areas;

[0071] The third acquisition module is used to obtain the outlet air temperature value of the heater according to the heating power value and the air outlet speed value, and obtain the indoor heating attenuation degree according to the outlet air temperature value of the heater and the temperature diffusion values of all divided areas;

[0072] The second calculation module is used to calculate the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree, and calculate the indoor heating efficiency value according to the air heating degree;

[0073] The judgment module is used to judge whether the indoor heating efficiency value is within a preset threshold range;

[0074] If the indoor heating efficiency value is within the preset threshold range, it is determined that the set operating state information does not need to be adjusted;

[0075] If the indoor heating efficiency value is not within the preset threshold range, it is determined that the set operating state information needs to be adjusted, and the adjusted operating state information is generated according to the indoor heating efficiency value, and the heater is adjusted based on the adjusted operating state information.

[0076] Preferably, the second acquisition module includes:

[0077] The first acquisition unit is used to acquire the indoor space information according to the indoor real-time environmental information. Among them, the indoor space information includes the indoor length, indoor width, and indoor height;

[0078] A second acquisition unit, configured to establish a three-dimensional coordinate system according to the indoor length, indoor width, and indoor height;

[0079] A third acquisition unit, configured to acquire the position coordinates of the heater in the three-dimensional coordinate system;

[0080] A fourth acquisition unit, configured to acquire the maximum distance from the position coordinates to the edge of the three-dimensional coordinate system;

[0081] A division and extraction unit, configured to equally divide the maximum distance to obtain a plurality of equally divided distance values;

[0082] A fifth acquisition unit, configured to generate division regions based on each of the equally divided distance values;

[0083] A sixth acquisition unit, configured to acquire the air humidity value and the initial air temperature value of each of the division regions;

[0084] A seventh acquisition unit, configured to acquire the regional air resistance value corresponding to each of the division regions according to the air humidity value and the initial air temperature value;

[0085] An eighth acquisition unit, configured to acquire the air flow velocity of each division region;

[0086] A ninth acquisition unit, configured to acquire the heat source distance from each division region to the heater;

[0087] A tenth acquisition unit, configured to acquire a temperature diffusion value according to the air flow velocity and the heat source distance.

[0088] The present invention further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for monitoring an Internet of Things heater are implemented.

[0089] The present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned method for monitoring an Internet of Things heater are implemented.

[0090] The beneficial effects of this application are as follows: By constructing a set of efficient and intelligent monitoring systems for the warm air blower, this invention brings many remarkable benefits. Automatically obtaining indoor environmental and warm air blower information through the Internet of Things, eliminating cumbersome manual operations, ensuring accurate and timely data, and laying a solid foundation for subsequent regulation. Conducting a detailed zoning of the indoor area and collecting parameters, breaking through the traditional extensive mode, and being able to accurately supply heat according to the unique environment of each area, thereby improving comfort. Precisely calculating the air flow attenuation degree, clearly presenting the details of air flow loss, and helping to rationally allocate the wind speed to make the heat evenly distributed. Measuring the heating attenuation degree, clarifying the loss situation in heat transfer, facilitating targeted optimization of the heating strategy, comprehensively evaluating the air heating and efficiency value, intuitively reflecting the performance of the warm air blower, and avoiding unnecessary energy consumption. Intelligently adjusting the operating state according to the efficiency value without frequent user intervention, greatly improving the heating effect and energy utilization rate, and comprehensively improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 It is a schematic flowchart of the method according to an embodiment of this application.

[0092] Figure 2 It is a schematic structural diagram of the system according to an embodiment of this application.

[0093] The realization of the purpose of this application, functional features, and advantages will be further described in conjunction with the embodiments with reference to the drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0094] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0095] As Figure 1 shown, this application provides an Internet of Things-based warm air blower monitoring method. The warm air blower includes a blower and a heating component and is applied to an Internet of Things monitoring module, including:

[0096] S1. Obtain real-time indoor environmental information and the set operating state information of the warm air blower based on the Internet of Things monitoring module. Among them, the set operating state information includes obtaining the air outlet speed value of the blower and the heating power value of the heating component;

[0097] S2. Obtain multiple divided areas according to the real-time indoor environmental information, and obtain the regional air resistance value and temperature diffusion value of each divided area;

[0098] S3. Obtain the regional air flow obstruction value corresponding to each divided area according to the regional air resistance value, and calculate the indoor air flow attenuation degree according to the air outlet speed value and the regional air flow obstruction values corresponding to all divided areas;

[0099] S4. Obtain the outlet air temperature value of the heater according to the heating power value and the air outlet speed value, and obtain the indoor heating attenuation degree according to the outlet air temperature value of the heater and the temperature diffusion values of all divided areas;

[0100] S5. Calculate the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree, and calculate the indoor heating efficiency value according to the air heating degree;

[0101] S6. Determine whether the indoor heating efficiency value is within a preset threshold range;

[0102] If the indoor heating efficiency value is within the preset threshold range, it is determined that the set operating state information does not need to be adjusted;

[0103] If the indoor heating efficiency value is not within the preset threshold range, it is determined that the set operating state information needs to be adjusted, and an adjusted operating state information is generated according to the indoor heating efficiency value, and the heater is adjusted based on the adjusted operating state information.

[0104] As described in the above steps S1 - S6, there are various defects in the existing heater monitoring methods, and these defects may lead to problems such as poor user experience and low energy efficiency in actual use. For example, when a user sets the target temperature to 22°C using a traditional heater in winter, since the heater cannot dynamically adjust according to the real-time change of the indoor temperature, the indoor temperature often fluctuates between 18°C and 24°C. This temperature fluctuation not only makes the user feel uncomfortable but also may cause overheating or underheating. In addition, the user hopes to use different heater operation modes during the day and at night, but the traditional heater can only adjust the wind speed and heating power manually, which is cumbersome and error-prone, lacking flexibility. At the same time, the traditional heater uses a fixed heating rate and wind speed. Even when the indoor temperature is already close to the set value, it still operates at a high power, resulting in increased electricity bills and low energy efficiency ratio;

[0105] The present invention obtains real-time indoor environmental information and the set operating status information of the heater through the Internet of Things monitoring module. Among them, the set operating status information covers the air outlet speed value of the fan and the heating power value of the heating component. With the help of Internet of Things technology, the automation and centralized management of data collection are realized. Compared with the traditional heater that relies on manual measurement of environmental data and equipment parameters, its advantages are significant. On the one hand, it greatly reduces the cumbersome procedures and possible errors brought by manual operation, making data acquisition more timely and accurate. On the other hand, it provides a solid and reliable foundation for subsequent precise control. For example, in the scenario of a family bedroom, the user can remotely connect to the Internet of Things monitoring module through a mobile phone before going to work to check the indoor temperature and the set status of the heater. If it is found that the indoor temperature is too low, the heater can be turned on in advance, and according to the information provided by the module, the wind speed and heating power can be adjusted to appropriate values to ensure that a comfortable warm environment can be enjoyed immediately after getting off work. Then, multiple divided areas are obtained according to the real-time indoor environmental information, and the regional air resistance value and temperature diffusion value of each divided area are obtained. Due to the influence of factors such as location, spatial layout, and surrounding objects in different areas, there are significant differences in air resistance and temperature diffusion. Through this refined area division and parameter acquisition method, taking a room with large furniture or partitions as an example, in the traditional control mode, the corner area may be cold because heat is difficult to reach, while the area near the heater may be overheated. But with the help of this technology, in the living room, areas can be reasonably divided according to the furniture layout and space size, sensors are set at key positions in each area to accurately measure data such as air humidity value and initial temperature value, and combined with factors such as the air flow speed in the area and the distance to the heat source of the heater, the regional air resistance value and temperature diffusion value are scientifically calculated, so as to achieve precise heating control of different areas and improve the comfort of the entire indoor space. Then, the regional air flow resistance value corresponding to each divided area is obtained according to the regional air resistance value, and the indoor air flow attenuation degree is calculated according to the air outlet speed value and the regional air flow resistance values corresponding to all divided areas. It can accurately quantify the energy loss and speed change of the air flow during its propagation in the room. Due to the lack of in-depth analysis of the air flow propagation process in the room in traditional heaters, it often leads to too weak air flow in some areas, resulting in ineffective heat transfer, while in other areas, the air flow may be too strong, not only causing energy waste, but also bringing an uncomfortable blowing feeling to users. For example, in a room connected by a long and narrow corridor, the air flow is prone to rapid attenuation during transmission in the corridor, making it difficult to obtain sufficient hot air in the room. But with this technology, in the room near the staircase of a multi-story residence, considering the influence of the air flow in the staircase on the air flow obstruction in the room, the air flow attenuation degree can be accurately calculated, and then the wind speed and angle of the heater can be reasonably adjusted to ensure good air flow circulation in the room and achieve uniform heating.After that, the outlet temperature value of the heater is obtained according to the heating power value and the outlet air speed value, and the indoor heating attenuation is obtained according to the outlet temperature value of the heater and the temperature diffusion value of all divided areas. This enables us to accurately grasp the transmission and loss of heating in the room. The shortcomings of traditional heaters in this regard often cause insufficient heat in some areas and excess heat in other areas, which seriously affects indoor comfort and energy efficiency. For example, in a room with poorly insulated walls, the heat in the area close to the wall dissipates rapidly and the heating attenuation is serious. Through this technology, in the bedrooms of old houses, by calculating the heating attenuation, the heating power of the heater can be increased in a targeted manner, or effective insulation measures can be taken near the wall, such as installing insulation curtains or using insulation materials, so as to improve the indoor temperature distribution and improve the heating effect. Subsequently, the indoor air heating degree is calculated using the indoor air flow attenuation and the heating attenuation, and the indoor heating efficiency value is calculated based on the air heating degree. This process realizes a comprehensive evaluation of the performance of the heater, and effectively solves the problem that traditional heaters cannot quantify the heating effect and energy efficiency. In commercial places, such as small shops, by calculating the heating efficiency value, if it is found that the efficiency of the heater is low during peak business hours, the operating parameters can be adjusted in time, such as reducing the power during non-peak hours, so as to ensure customer comfort while reducing operating costs. In the school classroom scenario, the indoor air heating degree and heating efficiency value are accurately calculated according to the usage needs of different time periods and the changes in the number of people in the room. During the break, due to the frequent flow of people in the room, the heat loss is accelerated and the heating efficiency is reduced. At this time, the operating status of the heater can be adjusted, such as appropriately increasing the wind speed to accelerate the heat diffusion, or appropriately increasing the heating power according to the actual situation, to ensure that the classroom can maintain a suitable temperature in different time periods, while avoiding unnecessary energy waste. Finally, it is determined whether the indoor heating efficiency value is in the preset threshold range. If it is in this range, it means that the operating status information of the heater setting does not need to be adjusted; if it is not in the range, it is determined that it needs to be adjusted, and the adjustment operating status information is generated according to the indoor heating efficiency value, and the heater is intelligently adjusted based on this. This link realizes the automatic optimization of the operating status of the heater, and completely solves the problem that traditional heaters require users to frequently manually adjust the operating status. Manual adjustment is not only cumbersome, but also difficult to ensure the timeliness and accuracy of the adjustment, which can easily lead to large fluctuations in indoor temperature, affecting the user's comfort and energy efficiency. For example, during the nighttime sleep period in the bedroom of a family, if the outdoor temperature suddenly drops, the traditional heater requires the user to wake up and manually adjust it. However, for the heater using this technology, the IoT monitoring system will automatically detect that the indoor heating efficiency value is lower than the preset threshold, and then automatically increase the heating power of the heater or adjust the wind speed, so that the indoor temperature quickly returns to a comfortable range, ensuring that the user can continue to enjoy a warm and comfortable sleeping environment.

[0106] In one embodiment, the step of obtaining a plurality of divided regions according to the indoor real-time environment information and obtaining the regional air resistance value and temperature diffusion value of each divided region includes:

[0107] S201. Obtain indoor space information according to the indoor real-time environment information, where the indoor space information includes indoor length, indoor width, and indoor height;

[0108] S202. Establish a three-dimensional coordinate system according to the indoor length, indoor width, and indoor height;

[0109] S203. Obtain the position coordinates of the heater in the three-dimensional coordinate system;

[0110] S204. Obtain the farthest distance from the position coordinates to the edge of the three-dimensional coordinate system;

[0111] S205. Perform equidistant division on the farthest distance to obtain a plurality of equally divided distance values;

[0112] S206. Generate divided regions based on each of the equally divided distance values;

[0113] S207. Obtain the air humidity value and the initial air temperature value of each divided region;

[0114] S208. Obtain the regional air resistance value corresponding to each divided region according to the air humidity value and the initial air temperature value;

[0115] S209. Obtain the air flow velocity of each divided region;

[0116] S210. Obtain the heat source distance from each divided region to the heater;

[0117] S211. Obtain the temperature diffusion value according to the air flow velocity and the heat source distance.

[0118] As described in the above steps S201 - S211, the present invention lays an important foundation for the entire subsequent process by obtaining indoor space information, including the length, width, and height of the indoor space. Its beneficial effect is that it provides an indispensable framework for accurately analyzing the indoor environment and reasonably dividing areas. Traditional heaters often neglect the overall understanding of the indoor space during operation. They simply place the device without considering the specific dimensions of the room, which leads to uneven heat distribution, affecting the heating efficiency and comfort. For example, in the scenario of a long and narrow storage room, if the information about its relatively long space is not obtained in advance, the heat generated by the heater may only concentrate in the area near the entrance, while the temperature in the deep part of the storage room is relatively low, unable to meet the usage requirements. The steps to solve this problem are to use professional measurement tools such as laser rangefinders to accurately measure the length, width, and height of the indoor space and input these data accurately into the control system. Then, a three - dimensional coordinate system is established based on the obtained indoor length, width, and height. The advantage of this step is that it can assign accurate position identifiers to each point in the indoor environment, making the positional relationship between the heater and each area in the room clearly quantifiable. Traditional heaters, due to the lack of such a coordinate system, are difficult to judge the specific direction and distribution law of heat and air flow in the space, resulting in blindness and unevenness in heating. In the living room scenario, taking the lower left corner near the window as the origin, the directions and scales of the horizontal, vertical, and vertical upward - from - the - ground coordinate axes are respectively determined to establish a three - dimensional coordinate system, and the position of the heater is accurately marked in it. Through such an operation, the positional relationship between the heater and areas such as the sofa and TV area can be clearly seen, providing an important reference for subsequent heating optimization. To obtain the position coordinates of the heater in the three - dimensional coordinate system, a camera can be used to obtain the visual image of the indoor space. Using image recognition technology and related algorithms, and based on the known indoor space information, the position information of the heater in the image can be recognized and sent to the Internet of Things monitoring module. Traditional heaters, due to their unclear position, are unable to accurately judge which areas are close to the heat source and which are far away, making it difficult to conduct effective heating optimization based on the distance difference. In the office environment, after the heater is installed, the installation personnel input the coordinate information of the heater in the established three - dimensional coordinate system into the Internet of Things monitoring system through a positioning sensor or manual input, and then adjust the wind speed or set the wind direction according to the actual situation to ensure that the heat can better spread to the key areas of each room. After that, determine the maximum distance from the position coordinates of the heater to the edge of the three - dimensional coordinate system. Traditional heaters are often quite blind in area division, without considering the actual coverage ability of the heater, resulting in unreasonable area division and affecting the precise control of the heating effect. In a rectangular room, by calculating the distances between the heater coordinates and the four corners of the room, the maximum value among them is found as the maximum distance.Thus, according to the distances between different areas and the heater, heat and airflows are reasonably distributed to ensure the temperature uniformity throughout the meeting room, meet the comfort needs of people during the meeting, and equally divide the maximum distance to obtain multiple equal division distance values. This uniform division method enables the indoor space to be reasonably divided into different areas, ensuring that each area has a relatively consistent scale in space, facilitating subsequent unified parameter measurement and analysis for each area. The traditional heater has uneven area division, resulting in increased difficulty in data analysis and control, making it difficult to accurately judge the heating requirements and effect differences of each area, and being unfavorable for effective heating adjustment. In the scenario of a small gym, if the maximum distance is 10 meters and it is planned to be divided into 5 areas, then each equal division distance value is 2 meters. Through such equal distance division, different areas where fitness equipment is distributed can be clearly divided, and each area has its relatively independent temperature and airflow requirements, providing convenience for precisely adjusting the heating parameters of the heater. The obtained equal division distance values are used to generate divided areas. This realizes the orderly division of the indoor space, making each area have a clear boundary and scope, which is conducive to the refined management of the indoor environment. Traditional heaters cannot make a detailed distinction and targeted control of the indoor environment, resulting in insufficient or excessive heating in some areas and affecting the user experience. In the bedroom scenario, according to the results of equal distance division, the bedroom can be divided into areas near the window, the area of the bed, the area near the door, etc., and each area has its unique environmental characteristics and heating requirements. For example, in a children's bedroom, through area division, the area where children play can be separated from the sleeping area. According to the activity time of children in different areas and their sensitivity to temperature, a relatively lower temperature and higher wind speed can be provided for the playing area to keep the air circulating; a warmer and quieter environment can be provided for the sleeping area to ensure that children feel comfortable in different areas. To obtain the air humidity value and the initial air temperature value of each divided area, it can rely on temperature and humidity sensors, air velocity sensors, etc. The temperature and humidity sensors can measure the air humidity value and temperature value of each area in the room in real time. The air resistance is affected by the humidity and temperature of the air. For example, when the air humidity is relatively high, the air is relatively "sticky", and the airflow will be subject to greater air resistance. When the air temperature is relatively high, the air is relatively dry, and the airflow is more likely to flow, and the airflow will be subject to smaller air resistance. This can comprehensively understand the initial environmental state of different areas in the room, which is the basis for subsequent calculation of the air resistance value and temperature diffusion value of the area. Traditional heaters lack an understanding of the initial environmental conditions of different areas in the room during operation. Without knowing the initial temperature and humidity, it is impossible to accurately judge how much heat is required for each area to reach a comfortable temperature, and it is also difficult to consider the impact of humidity on the heating effect, which may lead to poor heating effect or energy waste. In an apartment with multiple rooms, temperature and humidity sensors are installed in different areas of each room, and the sensors transmit the real-time collected data to the Internet of Things monitoring system.Next, obtain the regional air resistance values corresponding to each divided area based on the air humidity value and the initial air temperature value. This step can quantify the degree of obstruction of each area to the flow of air and heat transfer, providing a key parameter basis for subsequent optimization of the heating strategy. Traditional heaters cannot accurately evaluate the obstruction of different areas to heat and air flow. Without understanding the air resistance, it is impossible to take targeted measures to overcome the obstruction, which may result in difficult heat transfer in some areas and affect the overall heating effect. In a room with a large number of green plants, the green plants may increase the air humidity and the obstruction to air flow. By calculating the regional air resistance values, the wind speed of the heater can be appropriately increased to ensure that heat can be effectively transferred to every corner of the room. Just like in a living room with a bay window, the air humidity near the bay window may be lower due to more contact with the outside world, and the temperature is also easily affected by the outside. By calculating the air resistance value of this area, the heating power and the direction of the heater can be adjusted to make the heat spread better near the bay window and maintain the uniformity of the overall temperature in the living room. Obtain the air flow velocity of each divided area. This is of great significance for analyzing the propagation speed and direction of heat in the air. Traditional heaters lack real-time monitoring and analysis of the indoor air flow conditions. Without understanding the air flow velocity, it is impossible to determine whether the heat can be effectively diffused to each area along with the air flow, which may lead to heat accumulation or deficiency in some areas. The air velocity sensor can adopt a hot-wire sensor or an impeller sensor. The hot-wire sensor measures the flow velocity by using the relationship between the heat dissipation characteristics of the heating wire and the air flow velocity. Moreover, the temperature diffusion value of each area is affected by the distance from the heat source and the air flow velocity, and the temperature diffusion efficiency of the area farther away from the heater is slower. For example, in an office with an air-conditioning outlet, the air flow velocity near the air-conditioning outlet is relatively large, and the temperature diffuses quickly near the air-conditioning outlet, while the temperature diffuses slowly in the area far from the air-conditioning outlet. During heating, the wind speed and direction of the heater can be adjusted according to this situation to make the heat distribute more evenly throughout the office and avoid the problem of uneven temperature caused by the difference in air flow velocity. Obtain the distance from each divided area to the heat source of the heater. Traditional heaters cannot take into account the difference in the distance from different areas to the heat source during the heating process. Without considering the distance factor, it may lead to overheating in the area close to the heat source and insufficient heating in the area far from the heat source, affecting the indoor comfort. In a rectangular bedroom, use the coordinate information in the three-dimensional coordinate system and obtain the distance from each area to the heater through mathematical calculation methods. Finally, obtain the temperature diffusion value based on the air flow velocity and the distance from the heat source. This can comprehensively consider various factors and accurately evaluate the heat diffusion situation in each area, providing important data support for achieving precise heating control. Traditional heaters have limitations in evaluating heat diffusion, being single and inaccurate in the past. They may only consider one aspect of the distance from the heat source or the air flow velocity and cannot comprehensively and accurately judge the heat diffusion effect in the room, resulting in an unsatisfactory heating effect.

[0119] In one embodiment, the step of obtaining the regional air flow resistance value corresponding to each divided region according to the regional air resistance value and calculating the indoor air flow attenuation degree according to the air outlet speed value and the regional air flow resistance value includes:

[0120] S301. Obtain the highest position coordinates of each divided region and the position coordinates of the air heater;

[0121] S302. Obtain the height difference corresponding to each divided region according to the highest position and the lowest position;

[0122] S303. Obtain the air viscosity value corresponding to each divided region according to the height difference;

[0123] S304. Obtain the regional air flow resistance value according to the air viscosity value and the regional air resistance value;

[0124] S305. Obtain the air flow loss coefficient according to the regional air flow resistance value;

[0125] S306. Obtain the air outlet speed value of the air heater;

[0126] S307. Calculate the remaining air flow speed value passing through the first divided region according to the air outlet speed value, where the calculation formula is:

[0127] ;

[0128] Wherein, represents the remaining air flow speed value of the first divided region, represents the air outlet speed value, k represents the air flow loss coefficient, and R represents the regional air flow resistance value;

[0129] S308. Calculate the air flow attenuation degree corresponding to the divided region according to the remaining air flow speed value, where the calculation formula is:

[0130] ;

[0131] Wherein, represents the air flow attenuation degree of the i-th divided region, represents the remaining air flow speed value of the i-th divided region, represents the remaining air flow speed value of the (i - 1)-th divided region;

[0132] S309. Calculate the indoor air flow attenuation degree according to the air flow attenuation degrees corresponding to all divided regions, where the calculation formula is:

[0133] ;

[0134] Wherein, X represents the indoor air flow attenuation degree, and w represents the air flow attenuation weight coefficient. represents the air flow attenuation value of the i-th divided area, and n represents the total number of divided areas.

[0135] As described in the above steps S301 - S309, the present invention obtains the highest position coordinates of each divided area and the position coordinates of the heater. It can clearly determine the relative position relationship between the area and the heater at the spatial level. By clarifying this position information, it effectively solves the problem of uneven heating caused by the traditional heater's inability to accurately grasp the spatial relationship between different areas and the heat source during the heating process. For example, during heating, based on this information, the wind speed and angle of the heater can be adjusted targeted to ensure that the hot air flow can fully cover the area, effectively avoiding the situation of excessive temperature difference between the upper and lower parts due to unclear position relationship, and greatly improving the heating uniformity. Then, according to the highest position and the lowest position, the height difference corresponding to each divided area is obtained. This step can quantify the spatial characteristics of the area in the vertical direction, and its importance lies in providing a key basis for further analyzing the flow resistance and heat distribution difference of the air flow in different height areas. During the operation of traditional heaters, the differences in air flow and heat transfer in different height areas of the room are often ignored, and this step just overcomes this defect. According to the height difference, the air viscosity value corresponding to each divided area is obtained. This operation takes into account the physical property changes of air under different heights and spatial conditions, making the analysis of air flow movement more accurate and scientific. During the actual heating process, there are differences in air viscosity in different heights and areas, and this difference will significantly affect the flow speed of the air flow and the heat transfer efficiency. Due to the inability of traditional heaters to consider this factor, the heating effect is often poor. According to the air viscosity value and the regional air resistance value, the regional air flow resistance value is obtained. This step comprehensively considers various key factors affecting air flow, and can accurately quantify the degree of air flow obstruction of each area. In the previous heating systems, traditional heaters often only simply consider some factors and cannot comprehensively and accurately evaluate the air flow obstruction situation of the area, resulting in unreasonable air outlet settings of the heater, causing energy waste and unsatisfactory heating effect. According to the regional air flow resistance value, the air flow loss coefficient is obtained. During the operation of traditional heaters, due to the lack of a unified quantitative index to measure the air flow energy loss, it is difficult to intuitively compare the air flow attenuation degree of different areas, which brings great difficulties to formulating a scientific and reasonable heating adjustment plan. In a heater control system verified by multiple experiments and data analysis, according to different ranges of regional air flow resistance values, through the pre-set corresponding relationship, the corresponding air flow loss coefficients are determined and stored in the system database. The air outlet speed value of the heater is obtained. The air outlet speed of the heater directly affects the propagation ability and range of hot air in the room. During the operation of traditional heaters, they often lack effective monitoring and utilization of their own air outlet speed, resulting in the lack of key data support when adjusting heating parameters and making it difficult to achieve precise heating. Then, according to the air outlet speed value, the remaining air flow speed value passing through the first divided area is calculated.During the heating process of traditional heaters, since it is impossible to track the speed change of the air flow during its propagation in the room, it is difficult to determine whether the heat can be effectively transferred to each area, and there are often situations where some areas are underheated or overheated, seriously affecting the indoor comfort. In a house scenario with corridors connecting multiple rooms, first calculate the remaining air flow speed value in the corridor area. Through this data, the attenuation situation of the air flow before entering the room can be initially understood, laying a foundation for further analyzing the air flow situation in subsequent rooms. For example, in a factory building where the air outlets face different directions, when the hot air blows out from the heater and passes through the first working area, by calculating the remaining air flow speed value, if it is found that the speed drops rapidly, this may be because there are many equipment in this area blocking the air flow. At this time, the angle of the heater can be adjusted in time or the air outlet speed can be increased to ensure that the hot air can pass through this area smoothly and effectively reach other areas that need heating, ensuring the heating effect of the entire factory building. Calculate the air flow attenuation degree corresponding to the divided areas according to the remaining air flow speed value. This step can accurately quantify the attenuation effect of each area on the air flow, enabling a clear comparison of the air flow attenuation situations in different areas during the heating process, providing an important basis for targeted adjustment of the heater operation parameters. Due to the inability of traditional heaters to accurately evaluate the attenuation degree of the air flow in different areas, it is difficult to determine which areas need more air flow supply and which areas need to adjust the wind speed or direction during the heating process, resulting in an unsatisfactory heating effect. In a large shopping mall environment with multiple functional areas, the air flow requirements and attenuation situations of different product display areas and passage areas are different. By calculating the air flow attenuation degree of each area separately and storing this data in the system, when the heater is operating, different areas can be set differently according to this data to meet the heating requirements of different areas. Finally, calculate the indoor air flow attenuation degree according to the air flow attenuation degrees corresponding to all divided areas. In the traditional heater heating system, since only the air flow situation in local areas is concerned, it is difficult to comprehensively evaluate and optimize the heating effect of the entire room, often resulting in overheating or overcooling in some areas and serious energy waste.

[0136] In one embodiment, the step of obtaining the outlet air temperature value of the heater according to the heating power value and the air outlet speed value, and obtaining the indoor heating attenuation degree according to the outlet air temperature value of the heater and the temperature diffusion values of all divided areas includes:

[0137] S401. Obtain the air heating value according to the heating power value;

[0138] S402. Obtain the heat loss value of the heater;

[0139] S403. Obtain the outlet air temperature value of the heater according to the air heating degree, the heat loss value and the air outlet speed value;

[0140] S404. Take the air outlet temperature value of the heater as the initial temperature of the first divided area;

[0141] S405. Obtain the remaining heating temperature value according to the temperature diffusion value and the initial temperature corresponding to the first divided area;

[0142] S406. Obtain the heating attenuation degree corresponding to the first divided area according to the remaining heating temperature value and the initial temperature;

[0143] S407. Obtain the indoor heating attenuation degree according to the heating attenuation degrees corresponding to all the divided areas.

[0144] As described in the above steps S401 - S407, the present invention obtains the air heating value according to the heating power value. Through precise calculation, it can closely link the heating power of the heater with the heat actually absorbed by the air, and understand the thermal change of the air under the action of a specific heating power, thus solving the problem that traditional heaters only rely on the approximate power adjustment by users and have no understanding of the actual heating effect on the air. This uncertainty often leads to uneven heating effects, either insufficient heat supply or overheating, resulting in a great waste of energy. For example, in a small bedroom scenario, when the user sets the heating power of the heater to 1200W, the air heating value is obtained through the calculation in step S401. If it is found that this value cannot meet the expected temperature rise requirement of the bedroom, the user can promptly and reasonably increase the heating power, thereby ensuring that the bedroom can quickly reach a comfortable temperature environment and effectively avoiding the cold trouble caused by insufficient power. Next, the heat loss value of the heater is obtained. Understanding the heat loss situation is crucial for evaluating the energy efficiency performance of the heater and further optimizing the design and operation strategy of the heater. Due to the lack of effective monitoring of heat dissipation in traditional heaters, a large amount of energy is wasted unconsciously, and the electricity cost of users also keeps rising. To solve this problem, in step S402, high-precision temperature sensors are carefully installed at key parts of the heater, such as at the air outlet and air inlet respectively. These sensors can monitor the temperature difference between the inlet and outlet in real time and accurately. Combining with relevant parameters such as air flow rate, and using professional heat transfer formulas for rigorous calculation, the accurate heat loss value can be obtained. The outlet air temperature value of the heater is obtained based on the air heating degree, heat loss value, and outlet air speed value. This step comprehensively considers multiple key factors. During the heating process, it directly affects whether the heat can be effectively transferred to all corners of the room, and thus affects the accuracy and stability of the entire heating. Traditional heaters often encounter difficulties during the heating process because they cannot accurately determine the outlet air temperature and are difficult to flexibly adjust the parameters of the heater according to actual needs, resulting in too high temperature in some areas of the room, making people feel hot and uncomfortable; while in some areas, the temperature is too low, making people shiver with cold. To overcome this problem, in step S403, a professional calculation formula including parameters such as air heating degree, heat loss value, and outlet air speed value is used, and the accurately measured and calculated data are substituted into it for operation. In step S404, the outlet air temperature value of the heater is used as the initial temperature of the first divided area. When studying heat propagation, traditional heaters lack this clear initial temperature and are even less able to take targeted heating measures. In step S404, after the heater is started, the calculated outlet air temperature value will be automatically recorded and set as the initial temperature of the first divided area and stored in the monitoring system, providing basic data for subsequent series of calculations and analyses.For example, when a heater system for IoT monitoring is applied to a residence with multiple rooms, the heater starts working and calculates that the outlet temperature is 40°C. The system will immediately use this temperature value as the initial temperature of the first divided area near the heater, such as the corridor area. Through subsequent temperature monitoring and analysis of the corridor area and other rooms, if it is found that the temperature in the corridor area drops too fast, it indicates that there is an obstruction in the heat transfer process or a large energy loss. At this time, the user can adjust the wind speed of the heater or increase the heating power through the intelligent control system to ensure that the heat can be smoothly transferred through the corridor to other rooms, ensuring uniform and stable heating effect throughout the residence. Obtain the remaining heating temperature value according to the temperature diffusion value and the initial temperature corresponding to the first divided area. This step can accurately quantify the heat transfer and loss situation in the first divided area. In the traditional heating method, due to the lack of such a quantification method, it is often difficult to judge the specific loss degree and remaining situation of heat in an area, which may lead to the long-term existence of insufficient heating in some areas without being noticed, seriously affecting the overall heating quality. In step S405, using a temperature diffusion model verified by a large number of experiments and theories, substitute the initial temperature and the corresponding temperature diffusion value of the first divided area into it for calculation, so as to obtain an accurate remaining heating temperature value. For example, in a classroom scenario, the first divided area is usually the front row seat area near the podium. By calculating the remaining heating temperature value, if it is found that the temperature in this area drops significantly, this may be due to reasons such as cold air infiltration near the doors and windows, resulting in too fast heat dissipation. Obtain the heating attenuation degree corresponding to the first divided area according to the remaining heating temperature value and the initial temperature. This step can intuitively reflect the attenuation degree of heat in the first divided area, providing an important indicator for comparing the heating effects of different areas and further optimizing the heating strategy. Traditional heaters cannot quantify the attenuation degree of heat in the area, calculate the ratio of the remaining heating temperature value to the initial temperature, and obtain the heating attenuation degree corresponding to the first divided area. For example, in an office with different functional areas, such as an office area and a rest area. By calculating the heating attenuation degrees of the two areas respectively, it may be found that the heating attenuation degree of the office area is larger. After analysis, this may be because there are frequent personnel activities and more equipment heat dissipation in the office area, resulting in faster heat consumption. The heating power of the office area can be increased specifically through the intelligent control system, or the wind direction of the heater can be adjusted so that the hot air can be more concentratedly blown to the office area, thereby making the temperatures of the two areas more balanced, improving the work comfort and work efficiency of employees. Finally, obtain the indoor heating attenuation degree according to the heating attenuation degrees corresponding to all divided areas.This step can comprehensively evaluate the transfer and attenuation of heat indoors. Traditional heaters can only focus on the heating situation in local areas and cannot grasp the overall heat attenuation. It is difficult to optimize the entire heating system according to the overall heating effect, often resulting in overheating in some areas, making people feel unbearably stuffy; while in some areas, it is too cold, making people feel bitterly cold, seriously affecting the indoor comfort and energy utilization efficiency. By calculating the indoor heat attenuation degree, it may be found that the heat attenuation degree in some corridors and corner areas is relatively large. In response to this situation, hotel managers can add auxiliary heating equipment in these areas, such as electric heaters or radiators; or adjust the parameters of the main heater, such as increasing the wind speed, increasing the heating power or changing the wind direction, etc.

[0145] In one embodiment, the step of calculating the indoor air heating degree according to the indoor air flow attenuation degree and the heat attenuation degree includes:

[0146] S501. Obtain the indoor air flow attenuation degree;

[0147] S502. Obtain the heat attenuation degree;

[0148] S503. Calculate the indoor air heating degree according to the indoor air flow attenuation degree and the heat attenuation degree, where the calculation formula is:

[0149] ;

[0150] where Q represents the indoor air heating degree, X represents the indoor air flow attenuation degree, and Y represents the heat attenuation degree.

[0151] As described in the above steps S501 - S503, in the monitoring process of the heater based on the Internet of Things, the present invention obtains the indoor air flow attenuation degree, which can accurately quantify the energy loss and speed change of the air flow during its propagation in the room. By obtaining the indoor air flow attenuation degree, we can clearly find the serious situation of air flow attenuation in the corridor area. Based on this, we can take targeted measures, such as reasonably adjusting the wind speed of the heater. Then, obtain the heating attenuation degree, which is used to accurately understand the transmission and loss of heat in the room and plays a key supporting role in evaluating the heating performance and heat distribution effect of the heater. In the past heating process, due to the lack of accurate analysis ability of the traditional heater for the propagation process of heat in the room, it often led to insufficient heat supply in some areas while excessive heat in other areas, resulting in serious imbalance of indoor temperature, greatly affecting the comfort of users and the energy utilization efficiency. To obtain the heating attenuation degree, first, the outlet air temperature value of the heater needs to be accurately calculated according to the heating power value and the air outlet speed value. Then, taking this outlet air temperature value as the starting point, combined with the temperature diffusion values carefully measured in each divided area, through rigorous calculation, the remaining heating temperature value and heating attenuation degree of each area are obtained, and finally the indoor heating attenuation degree is summarized. For example, in a room with poorly insulated walls, highly sensitive temperature sensors are installed in different areas such as near the walls and in the center of the room. Through continuous measurement and complex calculation by these sensors, the heating attenuation situation of each area is obtained. Finally, calculate the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree. This step closely combines the previous two steps and is of extremely important significance. It can comprehensively consider the propagation of air flow and heat in the room, so as to comprehensively and accurately evaluate the heating effect of the heater on the indoor air. This provides an intuitive and clear quantitative index for users, enabling users to easily judge the working efficiency of the heater. At the same time, it also provides a solid basis for further optimizing the operating parameters of the heater, helping us effectively reduce energy consumption on the premise of ensuring good heating effect. In actual operation, using a specific calculation formula: (Q=(1 - X)(1 - Y)) (where (Q) represents the indoor air heating degree, (X) represents the indoor air flow attenuation degree, and (Y) represents the heating attenuation degree), substitute the indoor air flow attenuation degree and heating attenuation degree obtained in the previous steps into the formula for accurate calculation. By calculating the indoor air heating degree in a timely manner, once it is found that the heating effect is not good, we can quickly adjust the operating state of the heater, such as appropriately increasing the wind speed to accelerate heat diffusion, or reasonably increasing the heating power, to ensure that the classroom can maintain a suitable temperature at different times, while avoiding unnecessary waste of energy and achieving the goal of efficient and energy-saving heating.

[0152] In one embodiment, the step of calculating the indoor heating efficiency value according to the air heating degree includes:

[0153] S504. Obtain the specific heat capacity of air according to the real-time environmental information;

[0154] S505. Obtain the degree of air heating;

[0155] S506. Obtain the indoor volume according to the indoor space information;

[0156] S507. Obtain the heating time of the heater;

[0157] S508. Obtain the heating power value;

[0158] S509. Calculate the indoor heating efficiency value according to the specific heat capacity of air, the degree of air heating, the indoor volume, the heating time and the heating power value, where the calculation formula is:

[0159] ;

[0160] where, μ represents the indoor heating efficiency value, e represents the specific heat capacity of air, and Q represents the degree of air heating;

[0161] o represents the indoor volume, P represents the heating power value, and t represents the heating time.

[0162] As described in the above steps S504 - S509, the present invention obtains the specific heat capacity of air according to real - time environmental information, comprehensively considering various factors of indoor air. The composition of indoor air is not constant and may be affected by factors such as outdoor air exchange, indoor human activities, indoor pollution sources, etc., resulting in changes in its specific heat capacity. At the same time, fluctuations in temperature and humidity also have a significant impact on the specific heat capacity of air. By using high - precision sensors and advanced detection technologies, then, the air heating degree is obtained, closely linking the heating behavior of the heater with the actual temperature rise effect of indoor air. The acquisition of the air heating degree depends on the accurate calculation of the indoor air flow attenuation degree and the heating attenuation degree, as well as the real - time monitoring of the temperature at the outlet of the heater and the temperature changes in each area of the room. It reflects the actual heating effect of the heater on indoor air after processes such as air flow propagation and heat dissipation in a complex indoor environment. Combined with step S504, it further improves the parameter system required for calculation. In different indoor environments, then, the indoor volume is obtained according to the indoor space information. Whether it is through the use of professional measurement tools, such as laser rangefinders, to accurately measure the length, width, and height of the room and perform accurate calculations, or by using existing building drawing data for verification and correction, ensuring the reliability of the indoor volume data is the key. The indoor volume interacts with parameters such as the specific heat capacity of air and the air heating degree, jointly affecting the heating effect. In a large indoor space, even if the heating power of the heater is high, due to the large amount of air, it may take longer time and more energy to achieve the same temperature rise effect. On the contrary, in a smaller space, heat is easily accumulated, and the heating power may need to be appropriately reduced to avoid overheating. By accurately obtaining the indoor volume, it can ensure that the calculation results accurately reflect the actual heating situation, effectively solving the calculation deviation problem caused by space factors, and enabling us to have a clearer understanding of the performance of the heater in different space environments. The heating time of the heater is obtained, which introduces a time - dimension consideration into the entire evaluation process. It records the running duration of the heater from startup to the current moment and has a close internal connection with other parameters. During a long - term heating process, the temperature change of indoor air is not linear and is affected by various factors such as heat accumulation, dissipation, and indoor - outdoor heat exchange. The heating power value is obtained, which is a key indicator for measuring the heat output ability of the heater. The size of the heating power value directly determines the amount of heat that the heater can provide to the room per unit time. Combining with the heating time, we can clearly understand the total heat output of the heater over a period of time. Through collaborative operations with parameters such as the air heating degree and the indoor volume, it can accurately judge the energy conversion and utilization efficiency of the heater. Finally, using the specific heat capacity of air, the air heating degree, the indoor volume, the heating time, and the heating power value, the indoor heating efficiency value is calculated through a specific calculation formula. This process organically combines the parameters obtained in the previous steps for comprehensive and integrated operations.

[0163] As Figure 2 shown, the present invention further provides an Internet of Things (IoT) heater monitoring system applied to an IoT monitoring module, including:

[0164] A first acquisition module 1 for acquiring real-time indoor environmental information and set operating status information of the heater based on the IoT monitoring module, where the set operating status information includes the air outlet speed value of the fan and the heating power value of the heating component;

[0165] A second acquisition module 2 for obtaining multiple divided areas according to the real-time indoor environmental information and obtaining the regional air resistance value and temperature diffusion value of each divided area;

[0166] A first calculation module 3 for obtaining the corresponding regional air flow resistance value of each divided area according to the regional air resistance value and calculating the indoor air flow attenuation degree according to the air outlet speed value and the regional air flow resistance values corresponding to all divided areas;

[0167] A third acquisition module 4 for obtaining the outlet air temperature value of the heater according to the heating power value and the air outlet speed value, and obtaining the indoor heating attenuation degree according to the outlet air temperature value of the heater and the temperature diffusion values of all divided areas;

[0168] A second calculation module 5 for calculating the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree, and calculating the indoor heating efficiency value according to the air heating degree;

[0169] A judgment module 6 for judging whether the indoor heating efficiency value is within a preset threshold range;

[0170] If the indoor heating efficiency value is within the preset threshold range, it is determined that the set operating status information does not need to be adjusted;

[0171] If the indoor heating efficiency value is not within the preset threshold range, it is determined that the set operating status information needs to be adjusted, and adjusted operating status information is generated according to the indoor heating efficiency value, and the heater is adjusted based on the adjusted operating status information.

[0172] In one embodiment, the second acquisition module 2 includes:

[0173] A first acquisition unit for obtaining indoor space information according to the real-time indoor environmental information, where the indoor space information includes indoor length, indoor width, and indoor height;

[0174] A second acquisition unit for establishing a three-dimensional coordinate system according to the indoor length, indoor width, and indoor height;

[0175] A third acquisition unit for obtaining the position coordinates of the heater in the three-dimensional coordinate system;

[0176] A fourth acquisition unit, configured to acquire the maximum distance from the position coordinates to the edge of the three-dimensional coordinate system;

[0177] A division and extraction unit, configured to equally divide the maximum distance to obtain a plurality of equally divided distance values;

[0178] A fifth acquisition unit, configured to generate division regions based on each of the equally divided distance values;

[0179] A sixth acquisition unit, configured to acquire the air humidity value and the initial air temperature value of each of the division regions;

[0180] A seventh acquisition unit, configured to acquire the regional air resistance value corresponding to each of the division regions according to the air humidity value and the initial air temperature value;

[0181] An eighth acquisition unit, configured to acquire the air flow velocity of each division region;

[0182] A ninth acquisition unit, configured to acquire the heat source distance from each division region to the heater;

[0183] A tenth acquisition unit, configured to acquire a temperature diffusion value according to the air flow velocity and the heat source distance.

[0184] The present invention further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for monitoring an Internet of Things heater are implemented.

[0185] The present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned method for monitoring an Internet of Things heater are implemented.

[0186] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, value library, or other medium provided in this application and used in the embodiments can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0187] It should be noted that in this article, the terms "include", "comprise", or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, device, article, or method including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, device, article, or method. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, device, article, or method including that element.

[0188] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent results or equivalent process transformations made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, are equally included in the patent protection scope of the present invention.

Claims

1. A monitoring method for a warm air blower based on the Internet of Things, the warm air blower comprising a blower and a heating component, and being applied to an Internet of Things monitoring module, characterized in that Including: Obtaining real-time indoor environmental information and set operating status information of the heater based on the Internet of Things monitoring module, wherein the set operating status information includes the air outlet speed value of the air blower and the heating power value of the heating component; Obtaining multiple divided areas according to the real-time indoor environmental information, and obtaining the regional air resistance value and temperature diffusion value of each divided area; Obtaining the regional air flow obstruction value corresponding to each divided area according to the regional air resistance value, and calculating the indoor air flow attenuation degree according to the air outlet speed value and the regional air flow obstruction values corresponding to all divided areas; Obtaining the outlet air temperature value of the heater according to the heating power value and the air outlet speed value, and obtaining the indoor heating attenuation degree according to the outlet air temperature value of the heater and the temperature diffusion values of all divided areas; Calculating the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree, and obtaining the specific heat capacity of air according to the real-time environmental information; Obtaining the air heating degree; Obtaining the indoor volume according to the indoor space information; Obtaining the heating time of the heater; Obtaining the heating power value; Calculating the indoor heating efficiency value according to the specific heat capacity of air, the air heating degree, the indoor volume, the heating time and the heating power value, wherein the calculation formula is: ； Wherein, μ represents the indoor heating efficiency value, e represents the specific heat capacity of air, and Q represents the air heating degree; o represents the indoor volume, P represents the heating power value, and t represents the heating time; Judging whether the indoor heating efficiency value is within a preset threshold range; If the indoor heating efficiency value is within the preset threshold range, it is determined that the set operating status information does not need to be adjusted; If the indoor heating efficiency value is not within the preset threshold range, it is determined that the set operating status information needs to be adjusted, and adjusted operating status information is generated according to the indoor heating efficiency value, and the heater is adjusted based on the adjusted operating status information.

2. The method for monitoring an IoT-based warm air blower according to claim 1, wherein, The step of obtaining multiple divided areas according to the real-time indoor environmental information and obtaining the regional air resistance value and temperature diffusion value of each divided area includes: Obtaining indoor space information according to the real-time indoor environmental information, wherein the indoor space information includes the indoor length, indoor width and indoor height; Establishing a three-dimensional coordinate system according to the indoor length, indoor width and indoor height; Obtaining the position coordinates of the heater in the three-dimensional coordinate system; Obtaining the farthest distance from the position coordinates to the edge of the three-dimensional coordinate system; Performing equidistant division on the farthest distance to obtain multiple equal division distance values; Generating divided areas based on each equal division distance value; Obtaining the air humidity value and the initial air temperature value of each divided area; Obtaining the regional air resistance value corresponding to each divided area according to the air humidity value and the initial air temperature value; Obtaining the air flow speed of each divided area; Obtaining the heat source distance from each divided area to the heater; Obtaining the temperature diffusion value according to the air flow speed and the heat source distance.

3. The method for monitoring a warm air blower based on the Internet of Things according to claim 1, wherein The step of obtaining the regional air flow obstruction value corresponding to each divided area according to the regional air resistance value and calculating the indoor air flow attenuation degree according to the air outlet speed value and the regional air flow obstruction value includes: Obtaining the highest position coordinates of each divided area and the position coordinates of the heater; Obtain the height difference corresponding to each divided area according to the highest position and the lowest position; Obtain the air viscosity value corresponding to each divided area according to the height difference; Obtain the regional air flow resistance value according to the air viscosity value and the regional air resistance value; Obtain the air flow loss coefficient according to the regional air flow resistance value; Obtain the air outlet speed value of the heater; Calculate the remaining air flow speed value passing through the first divided area according to the air outlet speed value, where the calculation formula is: ； Among them, represents the remaining air flow velocity value of the first divided area, represents the air outlet velocity value, k represents the air flow loss coefficient, and R represents the regional air flow resistance value; Calculate the air flow attenuation degree corresponding to the divided area according to the remaining air flow speed value, where the calculation formula is: ； Among them, represents the air flow attenuation degree of the i-th divided area, represents the remaining air flow velocity value of the i-th divided area, represents the remaining air flow velocity value of the (i - 1)-th divided area Calculate the indoor air flow attenuation degree according to the air flow attenuation degrees corresponding to all divided areas, where the calculation formula is: ； Among them, X represents the indoor air flow attenuation degree, and w represents the air flow attenuation weight coefficient. represents the air flow attenuation value of the i-th divided area, and n represents the total number of divided areas.

4. The method for monitoring an Internet of Things hot air blower according to claim 1, wherein The step of obtaining the outlet air temperature value of the heater according to the heating power value and the air outlet speed value, and obtaining the indoor heating attenuation degree according to the outlet air temperature value of the heater and the temperature diffusion values of all divided areas includes: Obtain the air heating value according to the heating power value; Obtain the heat loss value of the heater; Obtain the outlet air temperature value of the heater according to the air heating degree, the heat loss value and the air outlet speed value; Take the outlet air temperature value of the heater as the initial temperature of the first divided area; Obtain the remaining heating temperature value according to the temperature diffusion value and the initial temperature corresponding to the first divided area; Obtain the heating attenuation degree corresponding to the first divided area according to the remaining heating temperature value and the initial temperature; Obtain the indoor heating attenuation degree according to the heating attenuation degrees corresponding to all the divided areas.

5. The monitoring method of a warm air blower based on the Internet of Things according to claim 1, wherein The step of calculating the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree includes: Obtain the indoor air flow attenuation degree; Obtain the heating attenuation degree; Calculate the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree, where the calculation formula is: ； Where Q represents the indoor air heating degree, X represents the indoor air flow attenuation degree, and Y represents the heating attenuation degree.

6. A monitoring system for a warm air blower based on the Internet of Things, applied to the Internet of Things monitoring module, characterized in that, Include: The first acquisition module is used to acquire the indoor real-time environment information and the set operating state information of the heater based on the Internet of Things monitoring module, where the set operating state information includes acquiring the air outlet speed value of the fan and the heating power value of the heating component; The second acquisition module is used to acquire multiple divided areas according to the indoor real-time environment information, and acquire the regional air resistance value and the temperature diffusion value of each divided area; The first calculation module is used to obtain the regional air flow resistance value corresponding to each divided area according to the regional air resistance value, and calculate the indoor air flow attenuation degree according to the air outlet speed value and the regional air flow resistance values corresponding to all divided areas; The third acquisition module is used to obtain the outlet air temperature value of the heater according to the heating power value and the air outlet speed value, and obtain the indoor heating attenuation degree according to the outlet air temperature value of the heater and the temperature diffusion values of all divided areas; The second calculation module is used to calculate the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree, and obtain the specific heat capacity of air according to the real-time environment information; Obtain the air heating degree; Obtain the indoor volume according to the indoor space information; Obtain the heating time of the heater; Obtain the heating power value; Calculate the indoor heating efficiency value based on the specific heat capacity of air, the degree of air heating, the indoor volume, the heating time, and the heating power value. The calculation formula is as follows: ； Where, μ represents the indoor heating efficiency value, e represents the specific heat capacity of air, and Q represents the degree of air heating; o represents the indoor volume, P represents the heating power value, and t represents the heating time; A judgment module, used to judge whether the indoor heating efficiency value is within a preset threshold range; If the indoor heating efficiency value is within the preset threshold range, it is determined that the set operating state information does not need to be adjusted; If the indoor heating efficiency value is not within the preset threshold range, it is determined that the set operating state information needs to be adjusted, and adjustment operating state information is generated based on the indoor heating efficiency value, and the heater is adjusted based on the adjustment operating state information.

7. The monitoring system for a warm air blower based on the Internet of Things according to claim 6, wherein, The second acquisition module includes: A first acquisition unit, used to acquire indoor space information according to the indoor real-time environment information, where the indoor space information includes the indoor length, indoor width, and indoor height; A second acquisition unit, used to establish a three-dimensional coordinate system according to the indoor length, indoor width, and indoor height; A third acquisition unit, used to acquire the position coordinates of the heater in the three-dimensional coordinate system; A fourth acquisition unit, used to acquire the farthest distance from the position coordinates to the edge of the three-dimensional coordinate system; A division and extraction unit, used to equally divide the farthest distance to obtain a plurality of equal division distance values; A fifth acquisition unit, used to generate division regions based on each of the equal division distance values; A sixth acquisition unit, used to acquire the air humidity value and the initial air temperature value of each of the division regions; A seventh acquisition unit, used to acquire the regional air resistance value corresponding to each of the division regions according to the air humidity value and the initial air temperature value; An eighth acquisition unit, used to acquire the air flow velocity of each of the division regions; A ninth acquisition unit, used to acquire the heat source distance from each of the division regions to the heater; A tenth acquisition unit, used to acquire the temperature diffusion value according to the air flow velocity and the heat source distance.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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