Warm air blower monitoring method and system based on Internet of Things

Abstract

The invention relates to the technical field of warm air blower monitoring, and particularly discloses a warm air blower monitoring method and system based on the Internet of Things, the warm air blower comprises a fan and a heating component and is applied to an Internet of Things monitoring module, and the method comprises the steps that indoor real-time environment information and set running state information of the warm air blower are obtained based on the Internet of Things monitoring module, the set operation state information comprises an air outlet speed value of a fan and a heating power value of a heating part; acquiring a plurality of divided areas according to the indoor real-time environment information, and acquiring an area air resistance value and a temperature diffusion value of each divided area; and according to the regional air resistance value, a regional airflow blocking value corresponding to each divided region is obtained, and the indoor airflow attenuation degree is calculated according to the air outlet speed value and the regional airflow blocking values corresponding to all the divided regions. The airflow attenuation degree is accurately calculated, the airflow loss details are clearly presented, the wind speed is reasonably adjusted in an assisted mode, and heat is evenly distributed.

Description

Technical Field

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

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

[0003] There are many shortcomings in the existing heater monitoring methods. For example, they only focus on temperature and ignore humidity, resulting in incomplete indoor environment monitoring; they cannot accurately calculate the indoor temperature based on humidity and real-time heating time, resulting in low control accuracy; there is a lack of real-time temperature difference feedback, making it difficult for users to understand indoor temperature changes in a timely manner; they cannot automatically adjust the operating status according to the temperature difference, resulting in large fluctuations in indoor temperature and affecting comfort. Summary of the invention

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

[0005] To achieve the above object, the present invention provides the following technical solutions: A method for monitoring a heater based on the Internet of Things, wherein the heater includes a fan and a heating component, and is applied to an Internet of Things monitoring module, comprising: Based on the Internet of Things monitoring module, the real-time indoor environment information and the set operation status information of the heater are obtained, wherein the set operation status information includes obtaining the air outlet speed value of the fan and the heating power value of the heating component; Acquire multiple 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; Obtaining a regional airflow resistance value corresponding to each divided area according to the regional air resistance value, and calculating the indoor airflow attenuation according to the air outlet speed value and the regional airflow resistance values ​​corresponding to all divided areas; Obtaining the outlet temperature value of the heater according to the heating power value and the outlet air speed value, and obtaining the indoor heating attenuation according to the outlet 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 calculating the indoor heating efficiency value according to the air heating degree; Determining 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 status information needs to be adjusted, and the 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.

[0006] Preferably, the step of obtaining a plurality of divided areas according to the indoor real-time environmental information, and obtaining the regional air resistance value and the temperature diffusion value of each divided area includes: Acquire indoor space information according to the indoor real-time environment information, wherein the indoor space information includes indoor length, indoor width and indoor height; Establishing a three-dimensional coordinate system according to the indoor length, indoor width and indoor height; Obtain the position coordinates of the heater in the three-dimensional coordinate system; Obtain the farthest distance from the position coordinate to the edge of the stereo coordinate system; Dividing the farthest distance into equal intervals to obtain a plurality of equally divided distance values; Generate a divided area based on each of the average distance values; Obtaining the air humidity value and the air initial temperature value of each of the divided areas; Obtaining the regional air resistance value corresponding to each of the divided regions according to the air humidity value and the air initial temperature value; Obtain the air flow velocity of each divided area; Get the heat source distance from each divided area to the heater; The temperature diffusion value is obtained according to the air flow velocity and the heat source distance.

[0007] Preferably, the step of obtaining the regional airflow resistance value corresponding to each divided area according to the regional air resistance value, and calculating the indoor airflow attenuation according to the air outlet speed value and the regional airflow resistance value includes: Obtain the highest position coordinates of each divided area and the position coordinates of the heater; Acquire the height difference corresponding to each divided area according to the highest position and the lowest position; Acquire the air viscosity value corresponding to each divided area according to the height difference; Obtaining a regional airflow resistance value according to the air viscosity value and the regional air resistance value; Obtaining an airflow loss coefficient according to the airflow resistance value of the area; Get the air outlet speed value of the heater; The remaining air flow velocity value passing through the first divided area is calculated according to the air outlet velocity value, wherein the calculation formula is: ; in, Indicates the remaining airflow velocity value of the first divided area, represents the wind speed value, k represents the airflow loss coefficient, and R represents the regional airflow resistance value; The airflow attenuation corresponding to the divided area is calculated according to the remaining airflow velocity value, wherein the calculation formula is: ; in, represents the airflow attenuation of the ith partition area, represents the residual airflow velocity value of the i-th divided area, represents the residual airflow velocity value of the i-1th divided area; The indoor air flow attenuation is calculated according to the air flow attenuation corresponding to all divided areas, where the calculation formula is: ; Where X represents the indoor air flow attenuation, w represents the air flow attenuation weight coefficient, represents the airflow attenuation value of the i-th divided area, and n represents the total number of divided areas.

[0008] Preferably, the step of obtaining the heater outlet temperature value according to the heating power value and the air outlet speed value, and obtaining the indoor heating attenuation degree according to the heater outlet temperature value and the temperature diffusion values ​​of all divided areas includes: Acquire an air heating value according to the heating power value; Get the heat loss value of the heater; Obtaining the air outlet temperature value of the heater according to the air heating degree, heat loss value and air outlet speed value; Using the outlet temperature of the heater as the initial temperature of the first divided area; Obtaining a remaining heating temperature value according to the temperature diffusion value and the initial temperature corresponding to the first divided area; Obtaining a heating attenuation degree corresponding to the first divided area according to the remaining heating temperature value and the initial temperature; The indoor heating attenuation is obtained according to the heating attenuation corresponding to all the divided areas.

[0009] Preferably, the step of calculating the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree comprises: Obtaining the indoor airflow attenuation degree; Obtaining the heating attenuation degree; The indoor air heating degree is calculated according to the indoor air flow attenuation degree and the heating attenuation degree, wherein the calculation formula is: ; Among them, Q represents the indoor air heating degree, X represents the indoor air flow attenuation degree, and Y represents the heating attenuation degree.

[0010] Preferably, the step of calculating the indoor heating efficiency value according to the air heating degree comprises: Acquire the specific heat capacity of air according to the real-time environmental information; Get the air heating degree; Acquire the indoor volume according to the indoor space information; Get the heating time of the heater; Get the heating power value; The indoor heating efficiency value is calculated according to the air specific heat capacity, air heating degree, indoor volume, heating time and heating power value, wherein the calculation formula is: ; Among them, 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.

[0011] The present invention also discloses a heater monitoring system based on the Internet of Things, which is applied to the Internet of Things monitoring module and includes: A first acquisition module, used to acquire indoor real-time 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 acquiring an air outlet speed value of the fan and a heating power value of the heating component; A second acquisition module is used to acquire a plurality of divided areas according to the indoor real-time environmental information, and acquire a regional air resistance value and a temperature diffusion value of each divided area; A first calculation module, configured to obtain a regional airflow resistance value corresponding to each divided area according to the regional air resistance value, and calculate an indoor airflow attenuation degree according to the air outlet speed value and the regional airflow resistance values ​​corresponding to all divided areas; A third acquisition module is used to obtain the heater outlet temperature value according to the heating power value and the air outlet speed value, and to obtain the indoor heating attenuation degree according to the heater outlet temperature value and the temperature diffusion values ​​of all divided areas; a second calculation module, configured to calculate an indoor air heating degree according to the indoor air flow attenuation degree and the heating air attenuation degree, and calculate an indoor heating efficiency value according to the air heating degree; A judging 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 status information needs to be adjusted, and the 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.

[0012] Preferably, the second acquisition module includes: A first acquisition unit is used to acquire indoor space information according to the indoor real-time environment information, wherein the indoor space information includes indoor length, indoor width and indoor height; A second acquisition unit is used to establish a three-dimensional coordinate system according to the indoor length, indoor width and indoor height; A third acquisition unit is used to acquire the position coordinates of the heater in the three-dimensional coordinate system; A fourth acquisition unit, used for acquiring the farthest distance from the position coordinate to the edge of the three-dimensional coordinate system; A division unit, used for equally dividing the farthest distance to obtain a plurality of equally divided distance values; A fifth acquisition unit, configured to generate a divided area based on each of the average distance values; A sixth acquisition unit, used for acquiring the air humidity value and the air initial temperature value of each of the divided areas; A seventh acquisition unit, configured to acquire a regional air resistance value corresponding to each of the divided regions according to the air humidity value and the air initial temperature value; an eighth acquisition unit, configured to acquire the air flow velocity of each divided area; A ninth acquisition unit, used for acquiring a heat source distance from each divided area to the heater; The tenth acquisition unit is used to acquire the temperature diffusion value according to the air flow speed and the heat source distance.

[0013] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method for monitoring a heater based on the Internet of Things when executing the computer program.

[0014] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for monitoring a heater based on the Internet of Things are implemented.

[0015] The beneficial effects of the present application are as follows: the present invention brings many significant benefits by constructing a set of efficient and intelligent heater monitoring system. The indoor environment and heater information are automatically obtained through the Internet of Things, and cumbersome manual operations are abandoned to ensure that the data is accurate and timely, laying a solid foundation for subsequent regulation. The indoor area is divided into detailed zones and parameters are collected to break through the traditional extensive mode, and accurate heating can be provided according to the unique environment of each area to improve comfort. Accurately calculate the airflow attenuation, clearly present the details of the airflow loss, and help to reasonably adjust the wind speed to make the heat evenly distributed. Measure the heating attenuation and clarify the loss status in heat transfer, so as to facilitate targeted optimization of heating strategies, comprehensively evaluate air heating and efficiency values, intuitively reflect the performance of the heater, and avoid unnecessary energy consumption. Intelligently adjust the operating status according to the efficiency value without frequent user intervention, greatly improve the heating effect and energy utilization, and improve the user experience in all aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The figure is a schematic diagram of a method flow of an embodiment of the present application.

[0017] Figure 2 A schematic diagram of the system structure of an embodiment of the present application.

[0018] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0019] 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.

[0020] like Figure 1 As shown, the present application provides a method for monitoring a heater based on the Internet of Things, wherein the heater includes a fan and a heating component, and is applied to an Internet of Things monitoring module, including: S1. Acquiring indoor real-time 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 acquiring the air outlet speed value of the fan and the heating power value of the heating component; S2. Acquire multiple 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; S3, obtaining a regional airflow resistance value corresponding to each divided area according to the regional air resistance value, and calculating the indoor airflow attenuation according to the air outlet speed value and the regional airflow resistance values ​​corresponding to all divided areas; S4, obtaining a heater outlet temperature value according to the heating power value and the outlet air speed value, and obtaining an indoor heating attenuation degree according to the heater outlet temperature value and the temperature diffusion values ​​of all divided areas; S5, 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; S6, determining 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 status information needs to be adjusted, and the 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.

[0021] As described in the above steps S1-S6, the existing heater monitoring method has many defects, which may lead to poor user experience, low energy efficiency and other problems in actual use. For example, when the user uses a traditional heater in winter and sets the target temperature to 22°C, the heater cannot dynamically adjust according to the real-time changes in the indoor temperature, resulting in the indoor temperature often fluctuating between 18°C ​​and 24°C. This temperature fluctuation not only makes the user feel uncomfortable, but may also cause overheating or insufficient heating. In addition, users want to use different heater operating modes during the day and at night, but traditional heaters can only manually adjust the wind speed and heating power, which is cumbersome and error-prone to operate and lacks flexibility. At the same time, traditional heaters use fixed heating rates and wind speeds, and even if the indoor temperature is close to the set value, they still maintain high-power operation, resulting in increased electricity bills and relatively low energy efficiency; The present invention obtains indoor real-time environmental information and set operating status information of the heater through the Internet of Things monitoring module, wherein 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 the 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, it has significant advantages. On the one hand, it greatly reduces the cumbersome procedures and possible errors caused 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 a family bedroom scene, 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 the indoor temperature is found to be too low, the heater can be turned on in advance, and the wind speed and heating power can be adjusted to appropriate values ​​according to the information provided by the module to ensure that a comfortable warm environment can be enjoyed immediately after getting home from get off work. Then, multiple divided areas are obtained according to the indoor real-time environmental information, and the regional air resistance value and temperature diffusion value of each divided area are obtained. Different areas have significant differences in air resistance and temperature diffusion due to factors such as their location, spatial layout, and surrounding objects. Through this refined regional 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 the heat is difficult to reach, while the area close to the heater may be overheated. However, with the help of this technology, the living room can be reasonably divided into areas according to the furniture layout and space size, and sensors can be set at key positions in each area to accurately measure data such as air humidity and initial temperature. Combined with factors such as the air flow speed of the area and the distance to the heat source of the heater, the regional air resistance and temperature diffusion values ​​are scientifically calculated, thereby achieving precise heating control of different areas and improving the comfort of the entire indoor space. Then, the regional airflow resistance value corresponding to each divided area is obtained based on the regional air resistance value, and the indoor airflow attenuation is calculated based on the air outlet speed value and the regional airflow resistance value corresponding to all divided areas. It can accurately quantify the energy loss and speed change of airflow during indoor propagation. Traditional air heaters, due to the lack of in-depth analysis of the airflow propagation process in the room, often lead to weak airflow in some areas and ineffective heat transfer, while other areas may have too strong airflow, which not only wastes energy but also gives users an uncomfortable blowing feeling. For example, in rooms connected by narrow corridors, the airflow tends to decay too quickly during the corridor transmission process, making it difficult to get enough hot air in the room. With this technology, in rooms near stairwells in multi-story residential buildings, considering the impact of air flow in the stairwell on airflow obstruction in the room, the airflow attenuation can be accurately calculated, and then the wind speed and angle of the heater can be reasonably adjusted to ensure good air 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.

[0022] In one embodiment, the step of obtaining a plurality of divided areas according to the indoor real-time environmental information, and obtaining the regional air resistance value and the temperature diffusion value of each divided area includes: S201, acquiring indoor space information according to the indoor real-time environment information, wherein the indoor space information includes indoor length, indoor width and indoor height; S202, establishing a three-dimensional coordinate system according to the indoor length, indoor width and indoor height; S203, obtaining the position coordinates of the heater in the three-dimensional coordinate system; S204, obtaining the farthest distance from the position coordinate to the edge of the three-dimensional coordinate system; S205, dividing the farthest distance into equal distances to obtain a plurality of equally divided distance values; S206, generating a divided area based on each of the average distance values; S207, obtaining the air humidity value and the air initial temperature value of each of the divided areas; S208, obtaining the regional air resistance value corresponding to each of the divided regions according to the air humidity value and the air initial temperature value; S209, obtaining the air flow velocity of each divided area; S210, obtaining the heat source distance from each divided area to the heater; S211. Obtain a temperature diffusion value according to the air flow velocity and the heat source distance.

[0023] As described in the above steps S201-S211, the present invention obtains indoor space information, including indoor length, width and height, which lays an important foundation for the entire subsequent process. Its beneficial effect is that it provides an indispensable framework for accurately analyzing the indoor environment and reasonably dividing the area. When operating, traditional air heaters often ignore the overall cognition of the indoor space, and simply place the equipment without considering the specific size of the room, which leads to uneven heat distribution and affects the heating efficiency and comfort. For example, in a narrow and long storage room scene, if the spatial information of its long length is not obtained in advance, the heat generated by the air heater may only be concentrated in the area near the entrance, while the temperature in the depth of the storage room is low and cannot meet the use requirements. The steps to solve this problem are to use professional measuring tools such as laser rangefinders to accurately measure the length, width and height of the room, and accurately input these data into the control system. Then, a three-dimensional coordinate system is established based on the acquired indoor length, width and height. The advantage of this step is that it can give each point in the indoor environment an accurate location identifier, so that the position relationship between the air heater and each area of ​​the room can be clearly quantified. Due to the lack of such a coordinate system, traditional air heaters are difficult to determine the specific direction and distribution of heat and airflow in space, which leads to blindness and uneven heating. In the living room scene, the lower left corner near the window is taken as the origin, and the horizontal, vertical and vertical coordinate axis directions and scales are determined respectively to establish a three-dimensional coordinate system, and the position of the air heater is accurately marked in it. Through such an operation, the positional association between the air heater and the sofa, TV area, etc. can be clearly seen, which provides an important reference for subsequent heating optimization. To obtain the position coordinates of the air heater in the three-dimensional coordinate system, a camera can be used to obtain the visual image of the room. Using image recognition technology and related algorithms, and based on the known indoor space information, the position information of the air heater in the image can be identified and sent to the IoT monitoring module. Due to the unclear position of the traditional air heater, it is impossible to accurately determine which areas are close to the heat source and which areas are far away, and it is difficult to effectively optimize heating based on the distance difference. In an office environment, after the heater is installed, the installer enters its coordinate information in the established three-dimensional coordinate system into the IoT monitoring system through positioning sensors or manual input, and then adjusts the wind speed or sets the wind direction according to the actual situation to ensure that the heat can be better diffused to the key areas of each room. After that, determine the farthest distance from the heater position coordinates to the edge of the three-dimensional coordinate system. Traditional heaters are often blind in regional division, without considering the actual coverage capacity of the heater, resulting in unreasonable regional division and affecting the precise control of the heating effect. In a rectangular room, by calculating the distance between the heater coordinates and the four corners of the room, find the maximum value as the farthest distance.Therefore, according to the distance between different areas and the heater, the heat and airflow are reasonably distributed to ensure the temperature uniformity of the entire conference room and meet the comfort needs of people during the meeting. The longest distance is equally divided to obtain multiple average 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, which is convenient for subsequent unified parameter measurement and analysis of each area. The uneven division of traditional heater areas increases the difficulty of data analysis and control, making it difficult to accurately judge the heating needs and effect differences in each area, which is not conducive to effective heating adjustment. In a small gym scenario, if the farthest distance is 10 meters and it is planned to be divided into 5 areas, then each average distance value is 2 meters. Through such an equidistant division, the different areas where fitness equipment is distributed can be clearly divided, and each area has its relatively independent temperature and airflow requirements, which provides convenience for accurately adjusting the heating parameters of the heater. The average distance value obtained generates the divided area. This realizes the orderly division of the indoor space, so that each area has a clear boundary and range, which is conducive to the refined management of the indoor environment. Traditional heaters cannot make detailed distinctions and targeted controls on the indoor environment, resulting in insufficient or excessive heating in some areas, affecting the user experience. In the bedroom scene, according to the results of equidistant division, the bedroom can be divided into areas near the window, the bed, the door area, etc. Each area has its own unique environmental characteristics and heating needs. For example, in a child's bedroom, by dividing the area, the children's play area and the sleeping area can be separated. According to the children's activity time and temperature sensitivity in different areas, a relatively low temperature and high wind speed are provided for the play area to maintain air circulation; a warmer and quieter environment is provided for the sleeping area to ensure that children can feel comfortable in different areas. To obtain the air humidity value and the initial air temperature value of each divided area, you can rely on temperature and humidity sensors and air flow rate sensors. The temperature and humidity sensors can measure the air humidity and temperature values ​​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 high, the air is "sticky" and the air flow will be subject to greater air resistance. When the air temperature is high, the air is drier, the air flow is easier to flow, and the air resistance of the air flow will become smaller. This can fully understand the initial environmental conditions of different indoor areas, which is the basis for the subsequent calculation of regional air resistance and temperature diffusion values. Traditional heaters lack understanding of the initial environmental conditions of different indoor areas during operation. Without understanding the initial temperature and humidity, it is impossible to accurately judge how much heat is needed in each area to reach a comfortable temperature, and it is 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 IoT monitoring system.Next, the regional air resistance value corresponding to each divided area is obtained according to the air humidity value and the initial air temperature value. This step can quantify the degree of obstruction of each area to airflow and heat propagation, and provide a key parameter basis for the subsequent optimization of heating strategies. Traditional air heaters cannot accurately evaluate the obstruction of heat and airflow in different areas. Without understanding the air resistance value, targeted measures cannot be taken to overcome the obstruction, which may make it difficult for heat to be transmitted in some areas, affecting the overall heating effect. In a room with a large number of green plants, the green plants may increase the air humidity and obstruction to airflow. By calculating the regional air resistance value, the wind speed of the air heater can be appropriately increased to ensure that heat can be effectively transmitted 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 world. By calculating the air resistance value of the area, the heating power and wind direction of the air heater can be adjusted to make the heat spread better near the bay window and maintain the uniformity of the overall temperature of the living room. The air flow velocity of each divided area is obtained. It is of great significance for analyzing the speed and direction of heat propagation in the air. Traditional air heaters lack real-time monitoring and analysis of indoor air flow. Without understanding the air flow rate, it is impossible to determine whether the heat can be effectively diffused to various areas with the air flow, which may lead to heat accumulation or insufficient heat in some areas. Air flow rate sensors can use hot wire or impeller sensors. Hot wire sensors use the relationship between the heat dissipation characteristics of the heating wire and the air flow rate to measure the flow rate, and the temperature diffusion value of each area is affected by the distance from the heat source and the air flow rate. The farther the area is from the heater, the slower the temperature diffusion efficiency. For example, in an office with an air-conditioning outlet, the air flow rate near the air-conditioning outlet is large, the temperature diffusion near the air-conditioning outlet is fast, and the temperature diffusion in the area far away from the air-conditioning outlet is slow. When heating, the wind speed and direction of the heater can be adjusted according to this situation so that the heat can be more evenly distributed throughout the office, avoiding the problem of uneven temperature caused by differences in air flow speed. Obtain the distance from each divided area to the heat source of the heater. Traditional heaters cannot take into account the difference in distance between different areas and the heat source during the heating process. If the distance factor is not considered, the area close to the heat source may be overheated, while the area far away may not be heated enough, affecting the indoor comfort. In a rectangular bedroom, the coordinate information in the three-dimensional coordinate system is used to obtain the distance from each area to the heater through mathematical calculation methods. Finally, the temperature diffusion value is obtained based on the air flow velocity and the distance from the heat source. This can comprehensively consider multiple factors and accurately evaluate the diffusion of heat in each area, providing important data support for achieving precise heating control. Traditional heaters are single and inaccurate in evaluating heat diffusion. In the past, they may only consider one aspect of the heat source distance or air flow velocity, and cannot fully and accurately judge the heat diffusion effect in the room, resulting in unsatisfactory heating effect.

[0024] In one embodiment, the step of obtaining the regional airflow resistance value corresponding to each divided area according to the regional air resistance value, and calculating the indoor airflow attenuation according to the air outlet speed value and the regional airflow resistance value includes: S301, obtaining the highest position coordinates of each divided area and the position coordinates of the heater; S302, obtaining a height difference corresponding to each divided area according to the highest position and the lowest position; S303, obtaining the air viscosity value corresponding to each divided area according to the height difference; S304, obtaining a regional airflow resistance value according to the air viscosity value and the regional air resistance value; S305, obtaining an airflow loss coefficient according to the airflow resistance value of the area; S306, obtaining the air outlet speed value of the heater; S307, calculating the remaining air flow velocity value passing through the first divided area according to the air outlet velocity value, wherein the calculation formula is: ; in, Indicates the remaining airflow velocity value of the first divided area, represents the wind speed value, k represents the airflow loss coefficient, and R represents the regional airflow resistance value; S308, calculating the airflow attenuation corresponding to the divided area according to the remaining airflow velocity value, wherein the calculation formula is: ; in, represents the airflow attenuation of the ith partition area, represents the residual airflow velocity value of the i-th divided area, represents the residual airflow velocity value of the i-1th divided area; S309, calculating the indoor air flow attenuation according to the air flow attenuation corresponding to all divided areas, wherein the calculation formula is: ; Where X represents the indoor air flow attenuation, w represents the air flow attenuation weight coefficient, represents the airflow attenuation value of the i-th divided area, and n represents the total number of divided areas.

[0025] 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 these position information, this effectively solves the problem of uneven heating caused by the inability of traditional heaters to accurately grasp the relationship between different areas and heat sources in spatial positions during the heating process. For example, during heating, the wind speed and angle of the heater can be adjusted in a targeted manner based on this information to ensure that the hot air flow can fully cover the area, effectively avoiding the situation where the upper and lower temperature differences are too large due to unclear positional relationships, and greatly improving the uniformity of heating. Then, the height difference corresponding to each divided area is obtained according to the highest position and the lowest position. 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 differences of the airflow in different height areas. During the operation of traditional heaters, the differences in airflow and heat transfer in different height areas of the room are often ignored, and this step just overcomes this defect. The air viscosity value corresponding to each divided area is obtained according to the height difference. This operation takes into account the changes in the physical properties of air at different heights and spatial conditions, making the analysis of air flow movement more accurate and scientific. In the actual heating process, there are differences in air viscosity at different heights and regions, and this difference will significantly affect the flow speed and heat transfer efficiency of the airflow. Traditional heaters often lead to poor heating effects because they cannot take this factor into account. Obtain the regional airflow resistance value based on the air viscosity value and the regional air resistance value. This step comprehensively considers a variety of key factors that affect the flow of airflow, and can accurately quantify the degree of resistance to airflow in each area. In previous heating systems, traditional heaters often simply consider some factors and cannot fully and accurately evaluate the resistance of the region to airflow, resulting in unreasonable air outlet settings of the heater, causing energy waste and unsatisfactory heating effects. Obtain the airflow loss coefficient based on the regional airflow resistance value. In the operation of traditional heaters, due to the lack of a unified quantitative indicator to measure the airflow energy loss, it is difficult to intuitively compare the airflow attenuation degree in different areas, which brings great difficulties to the formulation of scientific and reasonable heating adjustment plans. In a heater control system that has undergone multiple experimental verifications and data analysis, the corresponding airflow loss coefficients are determined according to the range of airflow obstruction values ​​in different regions through pre-set correspondences, and these coefficients are 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 capacity and range of hot air in the room. During operation, traditional heaters often lack effective monitoring and utilization of their own air outlet speeds, which leads to a lack of key data support when adjusting heating parameters, making it difficult to achieve precise heating. Next, the remaining airflow speed value passing through the first divided area is calculated based on the air outlet speed value.In the traditional heating process of the heater, it is difficult to determine whether the heat can be effectively transferred to each area because it is impossible to track the speed change of the airflow during the indoor propagation process. This often leads to insufficient or excessive heating in some areas, which seriously affects the indoor comfort. In the house scenario where there are corridors connecting multiple rooms, the residual airflow velocity value in the corridor area is first calculated. Through this data, we can preliminarily understand the attenuation of the airflow before entering the room, laying the foundation for further analysis of the airflow conditions in subsequent rooms. For example, in a factory with air outlets facing different directions, when the hot air blows out from the heater and passes through the first working area, by calculating the residual airflow velocity value, if it is found that the speed drops rapidly, this may be due to the presence of more equipment in the area that hinders the airflow. 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 the area smoothly and effectively reach other areas that need heating, thereby ensuring the heating effect of the entire factory. The airflow attenuation corresponding to the divided area is calculated according to the residual airflow velocity value. This step can accurately quantify the attenuation effect of each area on the airflow, so that the airflow attenuation of different areas can be clearly compared during the heating process, providing an important basis for targeted adjustment of the heater operation parameters. Since traditional air heaters cannot accurately evaluate the degree of airflow attenuation in different areas, it is difficult to determine which areas need more airflow supply and which areas need to adjust the wind speed or wind direction during the heating process, resulting in unsatisfactory heating effects. In a large shopping mall environment with multiple functional areas, different product display areas and channel areas have different airflow requirements and attenuation conditions. By calculating the airflow attenuation of each area separately and storing these data in the system, when the heater is running, different areas can be set differently based on these data to meet the heating needs of different areas. Finally, the indoor airflow attenuation is calculated based on the airflow attenuation corresponding to all divided areas. In the traditional air heater heating system, since only the airflow conditions in the local area are concerned, it is difficult to comprehensively evaluate and optimize the heating effect of the entire room, which often leads to overheating or overcooling in some areas and serious energy waste.

[0026] In one embodiment, the step of obtaining the heater outlet temperature value according to the heating power value and the air outlet speed value, and obtaining the indoor heating attenuation according to the heater outlet temperature value and the temperature diffusion values ​​of all divided areas includes: S401, obtaining an air heating value according to the heating power value; S402, obtaining a heat loss value of the heater; S403, obtaining the air outlet temperature value of the heater according to the air heating degree, the heat loss value and the air outlet speed value; S404, using the outlet temperature of the heater as the initial temperature of the first divided area; S405, obtaining a remaining heating temperature value according to the temperature diffusion value and the initial temperature corresponding to the first divided area; S406, obtaining a heating attenuation degree corresponding to the first divided area according to the remaining heating temperature value and the initial temperature; S407: Obtain indoor heating attenuation according to the heating attenuation corresponding to all the divided areas.

[0027] As described in the above steps S401-S407, the present invention obtains the air heating value based on the heating power value. Through precise calculation, the heating power of the heater can be closely linked to the actual amount of heat absorbed by the air, and the thermal changes in the air under the action of a specific heating power can be solved. The problem that the traditional heater only relies on the user's approximate power adjustment, but has no understanding of its actual effect on air heating. This uncertainty often leads to uneven heating effects, either insufficient heat supply; or excessive heating, resulting in a huge waste of energy. For example, in a small bedroom scene, when the user sets the heater heating power to 1200W, the air heating value is calculated through step S401. If it is found that this value cannot meet the expected heating needs of the bedroom, the user can promptly and reasonably increase the heating power, thereby ensuring that the bedroom can quickly reach a comfortable and pleasant temperature environment, 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 important 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 loss, a large amount of energy is wasted unknowingly in traditional heaters, and the user's electricity costs continue to rise. In order 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 the air inlet. These sensors can monitor the temperature difference between the air inlet and the air outlet in real time and accurately. Combined with relevant parameters such as air flow, professional heat transfer formulas are used for rigorous calculations to obtain accurate heat loss values. The outlet temperature value of the heater is obtained based on the air heating degree, heat loss value and air outlet speed value. This step takes into account multiple key factors. During the heating process, it is directly related to whether the heat can be effectively transferred to every corner of the room, thereby affecting the accuracy and stability of the entire heating. Traditional air heaters often get into trouble during the heating process because they cannot accurately determine the outlet temperature. It is difficult to flexibly adjust the parameters of the air heater according to actual needs, resulting in the temperature in some areas of the room being too high, making people feel hot and uncomfortable; while the temperature in some areas is too low, making people shiver with cold. In order to overcome this problem, in step S403, a professional calculation formula containing parameters such as air heating degree, heat loss value and air outlet speed value is used to substitute these accurately measured and calculated data for calculation. In step S404, the outlet temperature value of the air heater is used as the initial temperature of the first divided area. When studying heat propagation, traditional air heaters cannot take targeted heating measures due to the lack of this clear initial temperature. In step S404, when the air heater is started, the calculated outlet temperature value will be automatically recorded and set as the initial temperature of the first divided area, stored in the monitoring system, and provide basic data for a series of subsequent calculations and analyses.For example, when an IoT-monitored heater system is applied to a residence with multiple rooms, the heater starts working and calculates the outlet temperature to be 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 means that the heat encounters obstacles or energy loss during the transfer process. 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 to other rooms through the corridor, ensure that the heating effect of the entire residence is uniform and stable, and obtain the residual heating temperature value according to the temperature diffusion value and initial temperature corresponding to the first divided area. This step can accurately quantify the transfer and loss of heat in the first divided area. In traditional heating methods, due to the lack of such quantitative means, it is often difficult to judge the specific loss and remaining situation of heat in an area. This may cause the problem of insufficient heating in some areas to exist for a long time without being noticed, seriously affecting the overall heating quality. In step S405, the initial temperature and the corresponding temperature diffusion value of the first divided area are substituted into the temperature diffusion model that has been verified by a large number of experiments and theories for calculation, so as to obtain an accurate residual heating temperature value. For example, in a classroom scene, the first divided area is usually the front row seating area near the podium. By calculating the residual heating temperature value, if it is found that the temperature in the area drops significantly, this may be due to the excessive heat loss caused by cold air infiltration near the doors and windows. The heating attenuation corresponding to the first divided area is obtained according to the residual heating temperature value and the initial temperature. This step can intuitively reflect the degree of heat attenuation in the first divided area, and provides an important indicator for comparing the heating effects of different areas and further optimizing the heating strategy. Since traditional heaters cannot quantify the degree of heat attenuation in the area, the ratio of the residual heating temperature value to the initial temperature is calculated to obtain the heating attenuation 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 of the two areas separately, it may be found that the heating attenuation of the office area is larger. After analysis, this may be due to the frequent activities of personnel in the office area and the high heat dissipation of equipment, which leads to faster heat consumption. The intelligent control system can be used to specifically increase the heating power of the office area, or adjust the wind direction of the heater so that the hot air can be blown to the office area more concentratedly, thereby making the temperature of the two areas more balanced and improving the work comfort and efficiency of employees. Finally, the indoor heating attenuation is obtained based on the corresponding heating attenuation of all divided areas.This step can comprehensively evaluate the transfer and attenuation of heat indoors. Traditional heaters can only focus on the heating conditions of local areas, but cannot grasp the heating attenuation as a whole. It is difficult to optimize the entire heating system according to the overall heating effect, which often leads to overheating in some areas, making people feel stuffy and unbearable; while some areas are too cold, making people feel freezing, which seriously affects indoor comfort and energy efficiency. By calculating the indoor heating attenuation, it may be found that the heating attenuation in some corridors and corners is 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.

[0028] In one embodiment, the step of calculating the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree comprises: S501, obtaining the indoor airflow attenuation degree; S502, obtaining the heating attenuation degree; S503, calculating the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree, wherein the calculation formula is: ; Among them, Q represents the indoor air heating degree, X represents the indoor air flow attenuation degree, and Y represents the heating attenuation degree.

[0029] As described in the above steps S501-S503, the present invention obtains the indoor air flow attenuation in the heater monitoring process based on the Internet of Things. It can accurately quantify the energy loss and speed change of the air flow during the indoor propagation process. By obtaining the indoor air flow attenuation, we can clearly find the serious 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, the heating attenuation is obtained. It is used to accurately understand the transmission and loss of heating in the room. It plays a key supporting role in evaluating the heating performance and heat distribution effect of the heater. In the previous heating process, traditional heaters often lacked the ability to accurately analyze the indoor propagation process of heating, which often led to insufficient heat supply in some areas and excess heat in other areas, making the indoor temperature seriously uneven, greatly affecting the user's comfort and energy efficiency. In order to obtain the heating attenuation, we first need to accurately calculate the heater outlet temperature value based on the heating power value and the air outlet speed value. Then, using this outlet temperature value as the starting point, combined with the temperature diffusion value carefully measured in each divided area, we can obtain the residual heating temperature value and heating attenuation of each area through rigorous calculation, and finally summarize the indoor heating attenuation. For example, in a room with poorly insulated walls, we installed highly sensitive temperature sensors in different areas such as near the wall and the center of the room. Through these sensors, we continuously measured and calculated the heating attenuation of each area. Finally, the indoor air heating degree is calculated based on the indoor air flow attenuation and heating attenuation. This step closely combines the first two steps and is of great significance. It can comprehensively consider the propagation of airflow and heating in the room, so as to comprehensively and accurately evaluate the heating effect of the heater on the indoor air. This provides users with an intuitive and clear quantitative indicator, allowing 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 to effectively reduce energy consumption while ensuring good heating effects. In actual operation, a specific calculation formula is used: (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). The indoor air flow attenuation degree and heating attenuation degree obtained in the previous steps are accurately substituted into the formula for calculation. By timely calculating the indoor air heating degree, once it is found that the heating effect is not good, we can quickly adjust the operating status of the heater, such as appropriately increasing the wind speed to speed up heat diffusion, or reasonably increasing the heating power to ensure that the classroom can maintain a suitable temperature in different time periods, while avoiding unnecessary waste of energy and achieving the goal of efficient and energy-saving heating.

[0030] In one embodiment, the step of calculating the indoor heating efficiency value according to the air heating degree includes: S504, obtaining air specific heat capacity according to the real-time environmental information; S505, obtaining air heating degree; S506, obtaining indoor volume according to the indoor space information; S507, obtaining the heating time of the heater; S508, obtaining a heating power value; S509, calculating the indoor heating efficiency value according to the air specific heat capacity, air heating degree, indoor volume, heating time and heating power value, wherein the calculation formula is: ; Among them, 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.

[0031] 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 consider various factors of indoor air. The composition of indoor air is not static, and may be affected by factors such as outdoor air exchange, indoor personnel activities, indoor pollution sources, etc., which may cause its specific heat capacity to change. At the same time, fluctuations in temperature and humidity will also have a significant impact on the specific heat capacity of air. By adopting high-precision sensors and advanced detection technology, the air heating degree is then obtained. It is closely connected with the heating behavior of the heater and the actual heating effect of the indoor air. The acquisition of air heating depends on the accurate calculation of the indoor air flow attenuation and heating attenuation, as well as the real-time monitoring of the temperature of the heater outlet and the temperature changes of various indoor areas. It reflects the actual heating effect of the heater on the indoor air in a complex indoor environment after the process of air flow propagation and heat loss. Combined with step S504, the parameter system required for calculation is further improved. In different indoor environments, the indoor volume is then obtained according to the indoor space information. Whether it is by using professional measuring tools such as laser rangefinders to accurately measure the length, width, and height of the room and make accurate calculations, or by using existing architectural drawing data for verification and correction, ensuring the reliability of indoor volume data is the key. Indoor volume interacts with parameters such as air specific heat capacity and air heating degree, and together affects the heating effect. In a larger indoor space, even if the heating power of the heater is higher, it may take longer and more energy to achieve the same temperature increase due to the large amount of air. On the contrary, in a smaller space, heat is easy to accumulate, 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 solve the problem of calculation deviation caused by spatial factors, and enable us to have a clearer understanding of the performance of the heater in different spatial environments. Obtaining the heating time of the heater, this parameter introduces the consideration of the time dimension to the entire evaluation process. It records the operating time of the heater from startup to the current moment, and has a close internal connection with other parameters. During the long heating process, the temperature change of the indoor air is not linear, and will be affected by multiple factors such as heat accumulation, loss, and indoor and outdoor heat exchange. Obtain the heating power value, which is a key indicator to measure the heat output capacity of the heater. The size of the heating power value directly determines how much heat the heater can provide to the room per unit time. Combined with the heating time, we can clearly understand the total heat output of the heater over a period of time. Collaborative calculation with parameters such as air heating degree and indoor volume can accurately determine the energy conversion and utilization efficiency of the heater. Finally, the indoor heating efficiency value is calculated using a specific calculation formula using the air specific heat capacity, air heating degree, indoor volume, heating time and heating power value. This process organically combines the parameters obtained in the previous steps for comprehensive and integrated calculations.

[0032] like Figure 2 As shown, the present invention also provides a heater monitoring system based on the Internet of Things, which is applied to the Internet of Things monitoring module, including: The first acquisition module 1 is used to acquire indoor real-time 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 acquiring the air outlet speed value of the fan and the heating power value of the heating component; A second acquisition module 2 is used to acquire a plurality of divided areas according to the indoor real-time environmental information, and acquire a regional air resistance value and a temperature diffusion value of each divided area; A first calculation module 3 is used to obtain a regional airflow resistance value corresponding to each divided area according to the regional air resistance value, and calculate the indoor airflow attenuation degree according to the air outlet speed value and the regional airflow resistance values ​​corresponding to all the divided areas; A third acquisition module 4 is used to obtain the heater outlet temperature value according to the heating power value and the air outlet speed value, and to obtain the indoor heating attenuation degree according to the heater outlet temperature value and the temperature diffusion values ​​of all divided areas; A second calculation module 5 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; A judgment module 6 is 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 status information needs to be adjusted, and the 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.

[0033] In one embodiment, the second acquisition module 2 includes: A first acquisition unit is used to acquire indoor space information according to the indoor real-time environment information, wherein the indoor space information includes indoor length, indoor width and indoor height; A second acquisition unit is used to establish a three-dimensional coordinate system according to the indoor length, indoor width and indoor height; A third acquisition unit is used to acquire the position coordinates of the heater in the three-dimensional coordinate system; A fourth acquisition unit, used for acquiring the farthest distance from the position coordinate to the edge of the three-dimensional coordinate system; A division unit, used for equally dividing the farthest distance to obtain a plurality of equally divided distance values; A fifth acquisition unit, configured to generate a divided area based on each of the average distance values; A sixth acquisition unit, used for acquiring the air humidity value and the air initial temperature value of each of the divided areas; A seventh acquisition unit, configured to acquire a regional air resistance value corresponding to each of the divided regions according to the air humidity value and the air initial temperature value; an eighth acquisition unit, configured to acquire the air flow velocity of each divided area; A ninth acquisition unit, used for acquiring a heat source distance from each divided area to the heater; The tenth acquisition unit is used to acquire the temperature diffusion value according to the air flow speed and the heat source distance.

[0034] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method for monitoring a heater based on the Internet of Things when executing the computer program.

[0035] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for monitoring a heater based on the Internet of Things are implemented.

[0036] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to memory, storage, value library or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0037] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0038] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent results or equivalent process changes made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for monitoring a heater based on the Internet of Things, wherein the heater comprises a fan and a heating component and is applied to an Internet of Things monitoring module, characterized in that: include: Based on the Internet of Things monitoring module, the real-time indoor environment information and the set operation status information of the heater are obtained, wherein the set operation status information includes obtaining the air outlet speed value of the fan and the heating power value of the heating component; Acquire multiple 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; Obtaining a regional airflow resistance value corresponding to each divided area according to the regional air resistance value, and calculating the indoor airflow attenuation according to the air outlet speed value and the regional airflow resistance values ​​corresponding to all divided areas; Acquire the outlet temperature value of the heater according to the heating power value and the outlet air speed value, and acquire the indoor heating attenuation degree according to the outlet 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 calculating the indoor heating efficiency value according to the air heating degree; Determining 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 status information needs to be adjusted, and the 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 a heater based on the Internet of Things according to claim 1, characterized in that: The step of obtaining a plurality of divided areas according to the indoor real-time environmental information, and obtaining the regional air resistance value and the temperature diffusion value of each divided area comprises: Acquire indoor space information according to the indoor real-time environment information, wherein the indoor space information includes indoor length, indoor width and indoor height; Establishing a three-dimensional coordinate system according to the indoor length, indoor width and indoor height; Obtain the position coordinates of the heater in the three-dimensional coordinate system; Obtain the farthest distance from the position coordinate to the edge of the stereo coordinate system; Dividing the farthest distance into equal intervals to obtain a plurality of equally divided distance values; Generate a divided area based on each of the average distance values; Obtaining the air humidity value and the air initial temperature value of each of the divided areas; Obtaining the regional air resistance value corresponding to each of the divided regions according to the air humidity value and the air initial temperature value; Obtain the air flow velocity of each divided area; Get the heat source distance from each divided area to the heater; The temperature diffusion value is obtained according to the air flow velocity and the heat source distance.

3. The method for monitoring a heater based on the Internet of Things according to claim 1 is characterized in that: 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 according to the air outlet speed value and the regional air flow resistance value includes: Obtain the highest position coordinates of each divided area and the position coordinates of the heater; Acquire the height difference corresponding to each divided area according to the highest position and the lowest position; Acquire the air viscosity value corresponding to each divided area according to the height difference; Obtaining a regional airflow resistance value according to the air viscosity value and the regional air resistance value; Obtaining an airflow loss coefficient according to the airflow resistance value of the area; Get the air outlet speed value of the heater; The remaining air flow velocity value passing through the first divided area is calculated according to the air outlet velocity value, wherein the calculation formula is: ； in, Indicates the remaining airflow velocity value of the first divided area, represents the wind speed value, k represents the airflow loss coefficient, and R represents the regional airflow resistance value; The airflow attenuation corresponding to the divided area is calculated according to the remaining airflow velocity value, wherein the calculation formula is: ； in, represents the airflow attenuation of the i-th partition area, represents the residual airflow velocity value of the i-th divided area, represents the residual airflow velocity value of the i-1th divided area; The indoor air flow attenuation is calculated according to the air flow attenuation corresponding to all divided areas, where the calculation formula is: ； Where X represents the indoor air flow attenuation, w represents the air flow attenuation weight coefficient, represents the airflow attenuation value of the i-th divided area, and n represents the total number of divided areas.

4. The method for monitoring a heater based on the Internet of Things according to claim 1 is characterized in that: The step of obtaining the heater outlet temperature value according to the heating power value and the air outlet speed value, and obtaining the indoor heating attenuation degree according to the heater outlet temperature value and the temperature diffusion values ​​of all divided areas includes: Acquire an air heating value according to the heating power value; Get the heat loss value of the heater; Obtaining the air outlet temperature value of the heater according to the air heating degree, heat loss value and air outlet speed value; Using the outlet temperature of the heater as the initial temperature of the first divided area; Obtaining a remaining heating temperature value according to the temperature diffusion value and the initial temperature corresponding to the first divided area; Obtaining a heating attenuation degree corresponding to the first divided area according to the remaining heating temperature value and the initial temperature; The indoor heating attenuation is obtained according to the heating attenuation corresponding to all the divided areas.

5. The method for monitoring a heater based on the Internet of Things according to claim 1 is characterized in that: The step of calculating the indoor air heating degree according to the indoor air flow attenuation degree and the heating attenuation degree comprises: Obtaining the indoor airflow attenuation degree; Obtaining the heating attenuation degree; The indoor air heating degree is calculated according to the indoor air flow attenuation degree and the heating attenuation degree, wherein the calculation formula is: ； Among them, Q represents the indoor air heating degree, X represents the indoor air flow attenuation degree, and Y represents the heating attenuation degree.

6. The method for monitoring a heater based on the Internet of Things according to claim 1, characterized in that: The step of calculating the indoor heating efficiency value according to the air heating degree comprises: Acquire the specific heat capacity of air according to the real-time environmental information; Get the air heating degree; Acquire the indoor volume according to the indoor space information; Get the heating time of the heater; Get the heating power value; The indoor heating efficiency value is calculated according to the air specific heat capacity, air heating degree, indoor volume, heating time and heating power value, wherein the calculation formula is: ； Among them, 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.

7. A heater monitoring system based on the Internet of Things, applied to the Internet of Things monitoring module, characterized in that: include: A first acquisition module, used to acquire indoor real-time 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 acquiring an air outlet speed value of the fan and a heating power value of the heating component; A second acquisition module is used to acquire a plurality of divided areas according to the indoor real-time environmental information, and acquire a regional air resistance value and a temperature diffusion value of each divided area; A first calculation module, configured to obtain a regional airflow resistance value corresponding to each divided area according to the regional air resistance value, and calculate an indoor airflow attenuation degree according to the air outlet speed value and the regional airflow resistance values ​​corresponding to all divided areas; A third acquisition module is used to obtain the heater outlet temperature value according to the heating power value and the air outlet speed value, and to obtain the indoor heating attenuation degree according to the heater outlet temperature value and the temperature diffusion values ​​of all divided areas; a second calculation module, configured to calculate an indoor air heating degree according to the indoor air flow attenuation degree and the heating air attenuation degree, and calculate an indoor heating efficiency value according to the air heating degree; A judging 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 status information needs to be adjusted, and the 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.

8. The monitoring system for heater based on Internet of Things according to claim 7 is characterized in that: The second acquisition module includes: A first acquisition unit is used to acquire indoor space information according to the indoor real-time environment information, wherein the indoor space information includes indoor length, indoor width and indoor height; A second acquisition unit is used to establish a three-dimensional coordinate system according to the indoor length, indoor width and indoor height; A third acquisition unit is used to acquire the position coordinates of the heater in the three-dimensional coordinate system; A fourth acquisition unit, used for acquiring the farthest distance from the position coordinate to the edge of the three-dimensional coordinate system; A division unit, used for equally dividing the farthest distance to obtain a plurality of equally divided distance values; A fifth acquisition unit, configured to generate a divided area based on each of the average distance values; A sixth acquisition unit, used for acquiring the air humidity value and the air initial temperature value of each of the divided areas; A seventh acquisition unit, configured to acquire a regional air resistance value corresponding to each of the divided regions according to the air humidity value and the air initial temperature value; an eighth acquisition unit, configured to acquire the air flow velocity of each divided area; A ninth acquisition unit, used for acquiring a heat source distance from each divided area to the heater; The tenth acquisition unit is used to acquire the temperature diffusion value according to the air flow speed and the heat source distance.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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