A fan control system and method for fan control signal status

Abstract

The present invention discloses a fan control system and method for fan control signal status, which relates to the field of fan control technology. The system analyzes the difference between infrared imaging data of a person and infrared imaging data of the environment, and determines the water vapor content released by the human body in combination with a preset infrared imaging and humidity relationship model, thereby determining whether to transmit a signal to start the fan. The system also uses the relationship model between humidity and speed, combined with the current water vapor content released by the human body, to determine the required fan speed. The system monitors the internal mechanical heat value of the fan in real time to determine whether to issue an overheating warning, thereby identifying the degree of overheating and adjusting the fan speed based on the infrared imaging data of the person and the degree of overheating. The system achieves precise positioning of the fan, intelligent humidity adjustment, demand-driven startup and adaptive speed adjustment, overheating warning and intelligent speed adjustment, thereby improving user experience, increasing energy efficiency, and enhancing the safety and reliability of the fan.

Description

Technical Field

[0001] The present invention relates to the technical field of fan control, and in particular to a fan control system and method for fan control signal status. Background Art

[0002] With the improvement of people's living standards and the continuous development of science and technology, the demand for intelligentization of traditional household appliances such as fans is increasing. People hope that fans can be more intelligent, convenient, comfortable and safe. At the same time, the rise of the concept of smart home has prompted all kinds of household appliances to develop in the direction of intelligence and interconnection. Fans, as common household appliances, also need to be integrated into the smart home system to achieve collaborative work and intelligent control with other devices.

[0003] Traditional fan control methods are often relatively simple, operating only through simple switches or fixed speed settings, and cannot be flexibly adjusted according to the real-time status of the environment and the human body. In addition, existing fans lack real-time monitoring and protection mechanisms for their own operating status, and are prone to overheating due to long-term operation or failures, posing safety hazards. During operation, they rarely consider the fan control needs of the water vapor content released by the human body.

[0004] Therefore, in order to solve the above problems, a fan control system and method targeting the fan control signal state are urgently needed. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a fan control system and method for the fan control signal status, which solves the problems of traditional fan control methods lacking personalization and intelligence, being unable to adaptively adjust according to the actual needs of the human body and environmental conditions, and lacking overheating warning and protection mechanisms.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a fan control system for the fan control signal state, comprising: a data acquisition module, for locating the position of a person based on a built-in positioning device of the fan, and using a built-in infrared detection instrument and a humidity sensor to obtain infrared imaging data and an ambient humidity value, wherein the infrared imaging data includes infrared imaging data of the person and infrared imaging data of the environment; a module for determining the water vapor content released by the human body, for analyzing the difference between the infrared imaging data of the person and the infrared imaging data of the environment, and calculating the contribution value of the person to the ambient humidity value based on a preset infrared imaging and humidity relationship model, and then determining the water vapor content released by the human body based on the ambient humidity value and the contribution value of the person to the ambient humidity value; a module for judging the signal for determining the need for starting a fan , used to compare the water vapor content released by the human body with the preset water vapor release threshold to determine whether to transmit the demand signal for starting the fan; the start signal receiving and speed control module is used to, when receiving the demand signal for starting the fan, use the relationship model between humidity and speed, combined with the current water vapor content released by the human body, to determine the required fan speed, and then receive the fan speed adjustment demand signal and start the fan; the overheating warning module is used to monitor the mechanical heat value inside the fan in real time, and then use the determined required fan speed and the mechanical heat value inside the fan to perform relationship deviation analysis to determine whether to issue an overheating warning; the speed adjustment module is used to identify the degree of overheating when receiving the overheating warning, and then adjust the fan speed according to the infrared imaging data of the person and the degree of overheating.

[0007] Furthermore, the infrared imaging data of the person is specifically the thermal radiation energy of the person, and the infrared imaging data of the environment is specifically the thermal radiation energy of the environment.

[0008] Furthermore, the specific steps of the module for determining the water vapor content released by the human body are analyzed as follows: identifying the difference between the thermal radiation energy of the person and the thermal radiation energy of the environment, the specific difference being the proportion of the thermal radiation energy of the person and the thermal radiation energy of the environment to the total thermal radiation energy respectively; substituting the proportion of the thermal radiation energy of the person to the total thermal radiation energy into the infrared imaging and humidity relationship model, and outputting the contribution value of the person to the ambient humidity value, and then taking the product of the contribution value of the person to the ambient humidity value and the ambient humidity value to obtain the water vapor content released by the human body.

[0009] Furthermore, the preset method of the infrared imaging and humidity relationship model is analyzed as follows: obtaining infrared imaging and humidity relationship model construction data, and the infrared imaging and humidity relationship model construction data specifically records the thermal radiation energy and ambient humidity values ​​measured by the infrared imager under different ambient humidity conditions; using the obtained infrared imaging and humidity relationship model construction data to fit the relationship between infrared imaging and humidity, obtain the relationship coefficient between infrared imaging and humidity, and then establish a relationship model between thermal radiation energy and ambient humidity values.

[0010] Furthermore, the specific analysis of determining whether to transmit the demand signal for starting the fan is as follows: a water vapor release threshold is preset based on the fan control demand, and then the water vapor content released by the human body is compared with the water vapor release threshold; when the water vapor content released by the human body exceeds the water vapor release threshold, it is determined that a demand signal for starting the fan needs to be transmitted; when the water vapor content released by the human body has not exceeded the water vapor release threshold, there is no need to transmit the demand signal for starting the fan, and the water vapor content released by the human body is continuously detected.

[0011] Furthermore, the specific steps of starting the signal receiving and speed control module are analyzed as follows: using the relationship model between humidity and speed to construct data to fit the relationship between humidity and speed, and obtain the relationship model between humidity and speed. The data for constructing the relationship model between humidity and speed is specifically recorded under different water vapor content released by the human body, and the fan speed is determined through experimental adjustment and verification; the current water vapor content released by the human body determined by the module for determining the water vapor content released by the human body is substituted into the relationship model between humidity and speed, and the required speed of the fan is obtained as the output. A fan speed adjustment demand signal is generated according to the required speed of the fan, and the signal is sent to the fan drive module to start the fan and adjust it to the required speed of the fan.

[0012] Furthermore, the specific steps of the overheating warning module are analyzed as follows: by fitting the internal mechanical heat value of the fan at different speeds, the relationship model between the required fan speed and the internal mechanical heat value of the fan is determined; the determined required fan speed is substituted into the relationship model between the required fan speed and the internal mechanical heat value of the fan to obtain the theoretical value of the internal mechanical heat of the fan; the deviation value between the theoretical value of the internal mechanical heat of the fan and the real-time monitored internal mechanical heat value of the fan is taken, and the deviation value is compared with the deviation threshold. When the deviation value is greater than the deviation threshold, it is judged that there is an overheating problem, and an overheating warning signal is transmitted using the alarm mechanism.

[0013] Furthermore, the specific steps of the speed adjustment module are analyzed as follows: the mechanical heat value inside the fan is divided into different levels according to the preset temperature range, and different levels are used to determine the degree of overheating; the built-in infrared detection instrument is used to detect the thermal radiation energy of the person, and when the thermal radiation energy of the person is lower than the thermal radiation energy threshold, the fan speed is adjusted according to the different levels of overheating; when the thermal radiation energy of the person is greater than the thermal radiation energy threshold, the fan speed is adjusted to the maximum safe speed, and then the fan speed is adjusted according to the different levels of overheating to ensure that the fan speed is always lower than the maximum safe speed.

[0014] A fan control method for a fan control signal state, applying the above-mentioned fan control system for a fan control signal state, comprises the following steps: locating a person's position based on a built-in positioning device of the fan, and acquiring infrared imaging data and an ambient humidity value using a built-in infrared detection instrument and a humidity sensor, wherein the infrared imaging data includes infrared imaging data of the person and infrared imaging data of the ambient; analyzing the difference between the infrared imaging data of the person and the infrared imaging data of the ambient, calculating the contribution value of the person to the ambient humidity value in combination with a preset infrared imaging and humidity relationship model, and then determining the release of water vapor by the human body based on the ambient humidity value and the contribution value of the person to the ambient humidity value. content; compare the water vapor content released by the human body with the preset water vapor release threshold to determine whether to transmit a signal to start the fan; when the signal to start the fan is received, the relationship model between humidity and speed is used, combined with the current water vapor content released by the human body, to determine the required fan speed, and then receive the fan speed adjustment demand signal and start the fan; monitor the internal mechanical heat value of the fan in real time, and then use the determined required fan speed and the internal mechanical heat value of the fan to perform a relationship deviation analysis to determine whether to issue an overheating warning; when an overheating warning is received, identify the degree of overheating, and then adjust the fan speed according to the infrared imaging data of the person and the degree of overheating.

[0015] The present invention has the following beneficial effects:

[0016] The present invention relates to a fan control system and method for fan control signal status. Through a built-in positioning device and infrared detection instrument, the system can accurately locate a person's position and obtain relevant data about the person and the environment, thereby realizing personalized fan control based on the person's position and status and improving the user experience. Combining infrared imaging data and ambient humidity values, the system can analyze the person's contribution to ambient humidity and determine the water vapor content released by the human body. By comparing the water vapor content released by the human body with a preset water vapor release threshold, the system determines whether the fan needs to be started. This demand-driven fan start-up method avoids unnecessary energy consumption and improves energy efficiency. A relationship model between humidity and speed is used, combined with the current water vapor content released by the human body, to determine the required fan speed. An adaptive adjustment method ensures that the fan can provide appropriate wind speeds in different humidity environments to meet user needs. The fan's internal mechanical heat value is monitored in real time, and relationship deviation analysis is used to determine whether an overheating warning is issued. This helps to promptly detect and address fan overheating problems, protect the fan from damage, and extend its service life. When an overheating warning is received, the system can identify the degree of overheating and adjust the fan speed based on the person's infrared imaging data and the degree of overheating. This intelligent speed adjustment method ensures the safe operation of the fan while minimizing the impact on user comfort.

[0017] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a structural diagram of a fan control system for fan control signal status according to the present invention.

[0019] Figure 2 The present invention is a flowchart of a method for controlling a fan control system based on a fan control signal state. DETAILED DESCRIPTION

[0020] The embodiments of the present application implement precise fan positioning, intelligent humidity regulation, demand-driven startup and adaptive speed regulation, overheating warning and intelligent speed adjustment through a fan control system and method based on the fan control signal status, thereby improving user experience, increasing energy utilization efficiency, and enhancing the safety and reliability of the fan.

[0021] The overall idea of ​​the embodiments of this application is:

[0022] The fan's built-in positioning device, infrared detection instrument and humidity sensor are used to obtain multi-source information such as the person's position, infrared imaging data and ambient humidity value; by analyzing the differences between the person's infrared imaging data and the ambient infrared imaging data, combined with a preset model, the water vapor content released by the human body is calculated to determine whether the fan needs to be started and the initial speed of the fan; the fan's internal mechanical heat value is monitored in real time, and the deviation between it and the required fan speed is analyzed to determine whether an overheating warning is issued; when an overheating warning is received, the fan speed is adjusted according to the person's infrared imaging data and the degree of overheating, forming a complete fan intelligent control system based on multi-parameter feedback.

[0023] See also Figure 1The embodiment of the present invention provides a technical solution: a fan control system for the fan control signal state, comprising: a data acquisition module, for locating the position of a person based on a built-in positioning device of the fan, and using a built-in infrared detection instrument and a humidity sensor to acquire infrared imaging data and an ambient humidity value, wherein the infrared imaging data includes infrared imaging data of the person and infrared imaging data of the ambient; a module for determining the water vapor content released by the human body, for analyzing the difference between the infrared imaging data of the person and the infrared imaging data of the ambient, and calculating the contribution value of the person to the ambient humidity value based on a preset infrared imaging and humidity relationship model, and then determining the water vapor content released by the human body based on the ambient humidity value and the contribution value of the person to the ambient humidity value; a fan start-up demand signal judgment module, for using The water vapor content released by the human body is compared with the preset water vapor release threshold to determine whether a signal for starting the fan is transmitted; the start signal receiving and speed control module is used to use the relationship model between humidity and speed, combined with the current water vapor content released by the human body, to determine the required fan speed when receiving the signal for starting the fan, and then receive the fan speed adjustment demand signal and start the fan; the overheating warning module is used to monitor the mechanical heat value inside the fan in real time, and then use the determined required fan speed and the mechanical heat value inside the fan to perform a relationship deviation analysis to determine whether to issue an overheating warning; the speed adjustment module is used to identify the degree of overheating when receiving the overheating warning, and then adjust the fan speed according to the infrared imaging data of the person and the degree of overheating.

[0024] Specifically, the infrared imaging data of the person is specifically the thermal radiation energy of the person, and the infrared imaging data of the environment is specifically the thermal radiation energy of the environment.

[0025] The specific steps of the module for determining the water vapor content released by the human body are analyzed as follows: identifying the difference between the thermal radiation energy of the person and the thermal radiation energy of the environment, the specific difference is the proportion of the thermal radiation energy of the person and the thermal radiation energy of the environment to the total thermal radiation energy; substituting the proportion of the thermal radiation energy of the person to the total thermal radiation energy into the infrared imaging and humidity relationship model, and outputting the contribution value of the person to the ambient humidity value, and then taking the product of the contribution value of the person to the ambient humidity value and the ambient humidity value to obtain the water vapor content released by the human body.

[0026] The preset method of the infrared imaging and humidity relationship model is analyzed as follows: obtaining the infrared imaging and humidity relationship model construction data, which specifically records the thermal radiation energy and ambient humidity values ​​measured by the infrared imager under different ambient humidity conditions; using the obtained infrared imaging and humidity relationship model construction data to fit the relationship between infrared imaging and humidity, and obtain the relationship coefficient between infrared imaging and humidity, and then establish a relationship model between thermal radiation energy and ambient humidity values.

[0027] In this embodiment, the fan has a built-in positioning device for determining the position of a person in space, allowing the fan to be adjusted accordingly, for example, by directing airflow toward the person's location, improving user comfort and effectiveness. A built-in infrared detector can detect the thermal radiation energy of the person and the environment, converting it into infrared imaging data to provide data support for analyzing the thermal state of the human body and the environment, thereby determining the impact of the human body on environmental humidity and subsequently adjusting the fan speed based on the human body's heat status. A humidity sensor measures the ambient humidity in real time, which, combined with the data obtained by the infrared detector, provides a basis for calculating the water vapor content released by the human body and determining the fan's operating status. The information obtained by these three devices is an important basis for the fan control signal status. The positioning device determines the person's position and helps the fan adjust the blowing direction. The data obtained by the infrared detector and humidity sensor is used to calculate the water vapor content released by the human body, thereby determining whether to transmit a request signal to start the fan and determining the fan speed. Furthermore, the infrared imaging data of the person obtained by the infrared detector is also used to adjust the fan speed when the fan issues an overheating warning, thus achieving comprehensive intelligent control of the fan.

[0028] Human thermal radiation energy is the energy carried by the thermal radiation emitted by the human body due to its own temperature. The human body is a source of thermal radiation, and its thermal radiation energy is related to factors such as its temperature and surface area, reflecting the amount of heat dissipated by the human body into the surrounding environment. Ambient thermal radiation energy refers to the energy carried by the thermal radiation emitted by the surrounding environment (including objects and air) due to its own temperature. Since various objects in the environment have their own temperature and emit thermal radiation, ambient thermal radiation energy reflects the thermal state of the environment.

[0029] The thermal radiation energy of the person is detected by the infrared detection instrument built into the fan. The infrared detection instrument can sense the infrared radiation emitted by different objects and convert it into electrical signals or digital signals, thereby forming infrared imaging data, which contains information on the thermal radiation energy of the person and the thermal radiation energy of the environment. Generally speaking, the infrared detection instrument will convert the detected thermal radiation energy into grayscale values ​​or digital values. For example, in some infrared imaging systems, the higher the thermal radiation energy, the higher the corresponding grayscale value or the larger the digital value. By analyzing and processing the infrared imaging data, these grayscale values ​​or digital values ​​can be calibrated and converted with the actual thermal radiation energy, thereby realizing the quantification of the thermal radiation energy of the person and the thermal radiation energy of the environment. The specific quantification method needs to be determined according to the model and characteristics of the infrared detection instrument and the calibration algorithm adopted.

[0030] The specific steps for constructing the infrared imaging and humidity relationship model are as follows: record the thermal radiation energy and corresponding ambient humidity values ​​measured by an infrared imager under different ambient humidity conditions to obtain a large amount of data for constructing the infrared imaging and humidity relationship model; perform preprocessing operations such as cleaning and denoising on the collected data to improve data quality; select a suitable fitting algorithm, such as the least squares method, to fit the preprocessed data to find the relationship coefficient between infrared imaging (thermal radiation energy) and humidity; and establish a relationship model between thermal radiation energy and ambient humidity values ​​based on the relationship coefficient obtained by fitting. An example expression of the infrared imaging and humidity relationship model is as follows: , where represents the thermal radiation energy, Indicates the ambient humidity value. 、 、 Represents the model coefficients.

[0031] The reasons and benefits of judging whether to turn on the fan based on the water vapor content released by the human body are as follows: the water vapor content released by the human body reflects the human body's heat dissipation needs and comfort to a certain extent. When the water vapor content released by the human body is high, it means that the human body may be in a hotter or more humid state, and it is necessary to use fans and other equipment to accelerate air flow and promote sweat evaporation, thereby achieving the purpose of heat dissipation and improving comfort. This judgment method is more scientific and intelligent, and can control the start-up of the fan according to the actual physiological state and needs of the human body, avoiding the blindness of the traditional fan control method of starting the fan based solely on subjective feelings or fixed time settings, thereby improving the comfort and energy saving of fan use.

[0032] By analyzing the difference between the thermal radiation energy of the person and the ambient thermal radiation energy, and combining infrared imaging with the humidity relationship model, the contribution of the person to the ambient humidity value can be calculated more accurately, and then the water vapor content released by the human body can be obtained, providing a more accurate basis for the subsequent intelligent control of the fan.

[0033] Specifically, the specific analysis for determining whether to transmit the demand signal for starting the fan is as follows: a water vapor release threshold is preset based on the fan control demand, and then the water vapor content released by the human body is compared with the water vapor release threshold. When the water vapor content released by the human body exceeds the water vapor release threshold, it is determined that the demand signal for starting the fan needs to be transmitted; when the water vapor content released by the human body has not exceeded the water vapor release threshold, there is no need to transmit the demand signal for starting the fan, and the water vapor content released by the human body is continuously detected.

[0034] In this embodiment, the water vapor release threshold setting step includes: considering the effects of various factors, such as ambient temperature, human activity level, and different seasons, on human sweating (water vapor release). For example, in high-temperature environments or after strenuous exercise, the amount of water vapor released by the human body increases, and the human body's perception and demand for humidity also vary in different seasons. A large amount of data on human water vapor release is collected under different typical environmental conditions (different temperatures, humidity, human activity states, etc.). Experiments can be conducted by having different people perform different levels of activity in various set environments, and then measuring the water vapor content released. The collected data is analyzed to determine the approximate range of human water vapor release when most people feel comfortable or require fan ventilation to improve the environment. Based on the data analysis results, a preliminary water vapor release threshold is set. This threshold is sufficient to accurately trigger fan operation in common situations where fan operation is required, while avoiding false activation when it is not necessary. The set threshold is applied to actual scenarios for testing to observe whether the fan activation frequency is reasonable and whether it can effectively meet people's ventilation needs without excessive activation. The threshold is fine-tuned and optimized based on the actual test results until a relatively ideal control effect is achieved.

[0035] By comparing the water vapor content released by the human body with a threshold value to decide whether to start the fan, intelligent automatic control of the fan is achieved, avoiding frequent manual operation, and providing ventilation in a timely manner according to actual human needs, thereby improving convenience and comfort of use; the fan is only started when the water vapor content released by the human body exceeds the threshold value, avoiding unnecessary operation of the fan, thereby saving energy and reducing energy consumption costs.

[0036] Specifically, the specific steps of the start-up signal receiving and speed control module are analyzed as follows: use the relationship model between humidity and speed to construct data to fit the relationship between humidity and speed, and obtain the relationship model between humidity and speed. The data for constructing the relationship model between humidity and speed is specifically recorded under different water vapor content released by the human body, and the fan speed is determined through experimental adjustment and verification; the current human body water vapor content determined by the human body water vapor content determination module is substituted into the relationship model between humidity and speed, and the required fan speed is obtained as the output. A fan speed adjustment demand signal is generated according to the required fan speed, and the signal is sent to the fan drive module to start the fan and adjust it to the required fan speed.

[0037] In this embodiment, the specific steps for constructing the relationship model between humidity and speed are as follows: record the fan speed determined by experimental adjustment and verification under different water vapor content released by the human body, conduct experiments under a variety of different environmental conditions and human activity states, simulate various possible situations of water vapor content released by the human body, and measure and record the corresponding fan speed in each experiment; clean and preprocess the collected data, remove outliers and erroneous data, and standardize or normalize the data to ensure the quality and consistency of the data, so as to facilitate subsequent analysis and modeling; select an appropriate fitting method according to the characteristics and distribution of the data, such as linear regression, polynomial regression, nonlinear regression, etc. If the data presents a more complex nonlinear relationship, a nonlinear regression method may be required to better fit it; use the selected fitting method to fit the preprocessed data, and adjust the parameters of the model so that The model can best describe the relationship between humidity (the amount of water vapor released by the human body) and fan speed. During the fitting process, the model parameters need to be continuously optimized to minimize the fitting error. Evaluation indicators such as mean square error (MSE), mean absolute error (MAE), and coefficient of determination (R²) are used to evaluate the fitted model to determine the model's fitting effect and predictive ability. If the model evaluation results are not ideal, it is necessary to readjust the fitting method or further process the data, and then fit and evaluate again until a satisfactory model is obtained. An independent validation dataset is used to validate the constructed model to ensure that the model can also show good predictive performance on new data and avoid model overfitting. If the model performs well on the validation dataset, it means that the model has good generalization ability and can be used for actual fan speed control. An example of the relationship model expression between humidity and speed is: Where represents the fan speed, m represents the water vapor content released by the human body, and k and d represent the model coefficients.

[0038] The fan speed is precisely adjusted according to the water vapor content released by the human body, so that the fan's operating status matches the actual needs of the human body, providing the most appropriate ventilation effect and improving comfort; the fan speed is automatically adjusted without manual intervention, which improves the intelligence level of fan control and is convenient for users; it avoids energy waste and poor ventilation caused by excessively high or low fan speeds, while meeting user needs, saving energy to the greatest extent and improving energy utilization efficiency.

[0039] Specifically, the specific steps of the overheating warning module are analyzed as follows: by fitting the internal mechanical heat value of the fan at different speeds, the relationship model between the required fan speed and the internal mechanical heat value of the fan is determined; the determined required fan speed is substituted into the relationship model between the required fan speed and the internal mechanical heat value of the fan to obtain the theoretical value of the internal mechanical heat of the fan; the deviation value between the theoretical value of the internal mechanical heat of the fan and the real-time monitored internal mechanical heat value of the fan is taken, and the deviation value is compared with the deviation threshold. When the deviation value is greater than the deviation threshold, it is judged that there is an overheating problem, and an overheating warning signal is transmitted using the alarm mechanism.

[0040] In this implementation scheme, the specific steps for constructing the relationship model between the required fan speed and the mechanical heat value inside the fan are as follows: at different fan speeds, use appropriate temperature measuring equipment (such as thermocouples, thermistors, etc.) to measure the heat value of the mechanical components inside the fan. In order to ensure the accuracy and comprehensiveness of the data, it is necessary to measure under a variety of different environmental conditions (such as different ambient temperatures, humidity, etc.) and fan running time, and record the corresponding speed and heat value data; clean the collected data, remove obviously erroneous or abnormal data points, and then normalize or standardize the data to eliminate the influence of different dimensions on the data, so that the data is more suitable for model fitting; according to the distribution characteristics and preliminary analysis of the data, select a suitable function form to fit the relationship between the required fan speed and the mechanical heat value inside the fan. Common function forms include linear function, polynomial function, exponential function, etc. If the data presents a more complex nonlinear relationship, it is necessary to try multiple function forms or adopt more complex nonlinear models, such as neural network models; use the selected fitting function to fit the preprocessed data, and adjust the parameters of the function so that the model can best describe the relationship between the speed and the heat value. Specifically, use numerical optimization algorithms, such as least squares method and gradient descent method, to minimize the error between the model prediction value and the actual measurement value; use appropriate evaluation indicators, such as mean square error (MSE), mean absolute error (MAE), coefficient of determination (R²), etc., to evaluate the performance of the fitting model, judge the degree of fit of the model to the data and the accuracy of the prediction. If the evaluation result of the model is not ideal, it is necessary to reconsider the choice of fitting function or further process the data, and then fit and evaluate again until a satisfactory model is obtained.

[0041] The deviation threshold is set by referring to the fan's design specifications and safe operating parameters to understand the maximum heat value the fan can withstand during normal operation and the corresponding acceptable heat range at different speeds. Based on this information, combined with the fan's heat dissipation capacity and material properties, a deviation threshold is determined. When the fan's internal mechanical heat value exceeds this threshold, it indicates that the fan may be overheating and requires an alarm. A series of experiments can also be conducted to operate the fan under different operating conditions, observing the changes in heat value under various conditions and the deviation value when overheating occurs. At the same time, based on previous experience and operating data of similar fans, an appropriate deviation threshold is comprehensively determined. This threshold should be able to detect potential overheating problems in a timely manner, but not too sensitive to avoid excessive false alarms. To ensure safe operation of the fan, a certain safety margin is usually considered when setting the deviation threshold. That is, based on the maximum heat value the fan can withstand, the deviation threshold is appropriately lowered to issue an overheating warning in advance, providing sufficient time to take appropriate measures (such as reducing the fan speed or stopping the fan) to prevent serious damage caused by overheating.

[0042] Real-time monitoring of the mechanical heat situation inside the fan. By establishing a relationship model between the fan's required speed and the mechanical heat value, it is possible to promptly detect whether the fan has an overheating problem. Once overheating is detected, an early warning signal is immediately issued, which helps prevent the fan from being damaged due to overheating and extends the fan's service life. It can also avoid safety hazards caused by fan overheating, such as fire. By analyzing the relationship between the fan's required speed and the mechanical heat value, the fan speed can be reasonably adjusted according to the actual operating conditions, so that the fan can operate in a state that meets the heat dissipation requirements while avoiding overheating, thereby improving the stability and efficiency of the fan operation.

[0043] Specifically, the specific steps of the speed adjustment module are analyzed as follows: the mechanical heat value inside the fan is divided into different levels according to the preset temperature range, and different levels are used to determine the degree of overheating; the built-in infrared detection instrument is used to detect the thermal radiation energy of the person, and when the thermal radiation energy of the person is lower than the thermal radiation energy threshold, the fan speed is adjusted according to the different levels of overheating; when the thermal radiation energy of the person is greater than the thermal radiation energy threshold, the fan speed is adjusted to the maximum safe speed, and then the fan speed is adjusted according to the different levels of overheating to ensure that the fan speed is always lower than the maximum safe speed.

[0044] In this embodiment, the temperature interval is preset in the following manner: the temperature interval is preset according to factors such as the material properties, heat dissipation capacity and safe operating range of the fan. The temperature interval can also be divided into non-equal intervals according to the performance changes of the fan at different temperatures. When the temperature is low, the interval division is wider. As the temperature approaches to rise, the interval division gradually becomes narrower, so as to more accurately monitor and control the overheating of the fan.

[0045] The thermal radiation energy threshold can be set through experiments and statistical analysis. Under different environmental conditions, the thermal radiation energy values ​​of different groups of people when they feel comfortable and uncomfortable are measured to collect a large amount of data. Statistical analysis is performed on these data, such as taking the average, median, or determining a reasonable value based on a certain confidence interval as the thermal radiation energy threshold. The threshold can also be adjusted based on the fan's heat dissipation capacity and target usage scenario. For example, in a relatively hot environment, the threshold can be appropriately increased to ensure that the fan can effectively dissipate heat for the user while not over-responding to some smaller thermal radiation changes.

[0046] The maximum safe speed is determined by the fan manufacturer based on factors such as the fan's structural design, motor performance, heat dissipation capacity, and material tolerance. During the product development and testing phase, the manufacturer will conduct various extreme tests on the fan, including operating it at different speeds and monitoring various performance and safety indicators of the fan, such as motor temperature, component wear, and vibration. Through these tests, the manufacturer finds the maximum speed at which the fan can operate stably for a long time without causing safety issues (such as motor burnout or damaged components flying out). This speed is the maximum safe speed and will be clearly stated in the product specification.

[0047] A specific analysis example of adjusting the fan speed according to different levels of overheating is as follows: Assume that the internal mechanical heat value of the fan is divided into three levels: mild overheating, moderate overheating and severe overheating, and the corresponding temperature ranges are [ , ),[ , ),[ , ),in 、 、 is the preset temperature value, and < < ,When the thermal radiation energy of the character is lower than the thermal radiation energy threshold: if the internal mechanical heat value of the fan is at a slightly overheated level, that is, , you can reduce the fan speed by a smaller amount, such as 10%; if it is in a moderate overheating level, that is, , reduce the fan speed by a large margin, such as by 30%; if it is in a severe overheating level, that is, , reduce the fan speed to a lower safe speed.

[0048] By adjusting the fan speed according to the degree of overheating and the thermal radiation energy of the person, the fan can be prevented from being damaged by overheating, the fan's service life can be extended, and safe use can be guaranteed. Taking into account the thermal radiation energy of the person, when the thermal radiation energy of the person is low, the speed can be adjusted more finely according to the degree of overheating, reducing the noise and energy consumption caused by unnecessary high-speed fan operation. When the thermal radiation energy of the person is high, the fan is ensured to run at a speed that can provide effective heat dissipation to ensure user comfort.

[0049] See also Figure 2 A fan control method for a fan control signal state is applied to the above-mentioned fan control system for a fan control signal state, comprising the following steps: locating a person's position based on a built-in positioning device of the fan, and obtaining infrared imaging data and an ambient humidity value using a built-in infrared detection instrument and a humidity sensor, wherein the infrared imaging data includes infrared imaging data of the person and infrared imaging data of the ambient; analyzing the difference between the infrared imaging data of the person and the infrared imaging data of the ambient, and calculating the contribution value of the person to the ambient humidity value based on a preset infrared imaging and humidity relationship model, and then determining the water vapor content released by the human body based on the ambient humidity value and the contribution value of the person to the ambient humidity value. The system compares the water vapor content released by the human body with the preset water vapor release threshold to determine whether to transmit a signal to start the fan; when a signal to start the fan is received, the relationship model between humidity and speed is used in combination with the current water vapor content released by the human body to determine the required fan speed, and then receives a fan speed adjustment signal to start the fan; the fan's internal mechanical heat value is monitored in real time, and then the relationship deviation between the determined required fan speed and the fan's internal mechanical heat value is analyzed to determine whether to issue an overheating warning; when an overheating warning is received, the degree of overheating is identified, and then the fan speed is adjusted according to the infrared imaging data of the person and the degree of overheating.

[0050] In summary, this application has at least the following effects:

[0051] By comprehensively considering multi-dimensional information such as the person's position, infrared imaging data, ambient humidity, and the internal heat of the fan, precise intelligent control of the fan is achieved. The fan startup requirements and speed are determined according to the water vapor content released by the human body, which can better meet the actual needs of the human body and provide a more comfortable user experience; the overheating warning module and speed adjustment module can monitor the mechanical heat inside the fan in real time, issue a warning when overheating occurs, and adjust the speed according to the person's situation, which not only protects the fan equipment but also ensures the safety of the user; the fan speed is controlled based on the actual environment and human needs, avoiding unnecessary high-speed operation of the fan, thereby achieving the purpose of energy saving and improving energy utilization efficiency.

[0052] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods or systems. Therefore, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0053] The present invention is described with reference to the flowcharts and structure diagrams of the methods and systems according to the embodiments of the present invention. It should be understood that each process and combination of modules in the flowcharts and structure diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate the instructions for implementing the processes in the flowcharts. Figure 1 process or processes and structures Figure 1 A device that specifies functionality within a module or modules.

[0054] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 process or processes and structures Figure 1 Functionality specified in a module or modules.

[0055] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 process or processes and structures Figure 1 Steps for specifying functionality in a module or multiple modules.

[0056] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0057] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A fan control system for a fan control signal state, characterized in that: include: A data acquisition module is used to locate the position of a person based on the built-in positioning device of the fan, and to acquire infrared imaging data and ambient humidity value using the built-in infrared detection instrument and humidity sensor, wherein the infrared imaging data includes infrared imaging data of the person and infrared imaging data of the environment; A module for determining the water vapor content released by the human body is used to analyze the difference between the infrared imaging data of the human body and the infrared imaging data of the environment, calculate the contribution of the human body to the ambient humidity value based on the preset infrared imaging and humidity relationship model, and then determine the water vapor content released by the human body based on the ambient humidity value and the contribution of the human body to the ambient humidity value; A fan start demand signal judgment module is used to compare the water vapor content released by the human body with a preset water vapor release threshold to determine whether to transmit a demand signal to start the fan; The start signal receiving and speed control module is used to determine the required fan speed when receiving a request signal to start the fan, using the relationship model between humidity and speed, combined with the current water vapor content released by the human body, and then receiving a fan speed adjustment request signal and starting the fan; The overheat warning module is used to monitor the fan's internal mechanical heat value in real time, and then use the determined fan's required speed and the fan's internal mechanical heat value to perform a deviation analysis to determine whether to issue an overheat warning; The relationship model between the required fan speed and the fan's internal mechanical heat value is determined by fitting the measured fan's internal mechanical heat value at different speeds. Substituting the determined required fan speed into the relationship model between the required fan speed and the fan's internal mechanical heat value to obtain the fan's internal mechanical heat theoretical value; The deviation between the theoretical value of the fan's internal mechanical heat and the real-time monitored value is calculated and then compared with a deviation threshold. When the deviation is greater than the deviation threshold, an overheating problem is determined and an overheating warning signal is transmitted using an alarm mechanism. The speed adjustment module is used to identify the degree of overheating when an overheating warning is received, and then adjust the fan speed according to the infrared imaging data of the person and the degree of overheating.

2. A fan control system for fan control signal status according to claim 1, characterized in that: The infrared imaging data of the person is specifically the thermal radiation energy of the person, and the infrared imaging data of the environment is specifically the thermal radiation energy of the environment.

3. A fan control system for fan control signal status according to claim 2, characterized in that: The specific steps of the module for determining the water vapor content released by the human body are analyzed as follows: identifying the difference between the thermal radiation energy of the human body and the thermal radiation energy of the environment, specifically the proportion of the thermal radiation energy of the human body and the thermal radiation energy of the environment to the total thermal radiation energy; The proportion of the person's thermal radiation energy to the total thermal radiation energy is substituted into the infrared imaging and humidity relationship model, and the output is the person's contribution to the ambient humidity value. Then, the product of the person's contribution to the ambient humidity value and the ambient humidity value is taken to obtain the water vapor content released by the human body.

4. The fan control system for fan control signal status according to claim 2, characterized in that: The preset method of the infrared imaging and humidity relationship model is analyzed as follows: Acquire infrared imaging and humidity relationship model construction data, wherein the infrared imaging and humidity relationship model construction data specifically records the thermal radiation energy and ambient humidity values ​​measured by the infrared imager under different ambient humidity conditions; The acquired infrared imaging and humidity relationship model is used to construct data to fit the relationship between infrared imaging and humidity, and the relationship coefficient between infrared imaging and humidity is obtained, and then a relationship model between thermal radiation energy and ambient humidity value is established.

5. The fan control system for fan control signal status according to claim 1, characterized in that: The specific analysis of determining whether to transmit the request signal for starting the fan is as follows: Based on the fan control demand, a water vapor release threshold is preset, and then the water vapor content released by the human body is compared with the water vapor release threshold. When the water vapor content released by the human body exceeds the water vapor release threshold, it is determined that a signal for starting the fan needs to be transmitted; When the water vapor content released by the human body has not exceeded the water vapor release threshold, there is no need to transmit a demand signal for starting the fan, and the water vapor content released by the human body is continuously detected.

6. The fan control system for fan control signal status according to claim 1, characterized in that: The specific steps of starting the signal receiving and speed control module are analyzed as follows: The relationship between humidity and speed is fitted using data from a model of the relationship between humidity and speed to obtain a model of the relationship between humidity and speed. The data for constructing the model of the relationship between humidity and speed is specifically recorded under different water vapor levels released by the human body and the fan speed is determined through experimental adjustment and verification. The current water vapor content released by the human body, determined by the module for determining the water vapor content released by the human body, is substituted into the relationship model between humidity and speed, and the required fan speed is output. A fan speed adjustment demand signal is generated based on the required fan speed, and the signal is sent to the fan drive module to start the fan and adjust it to the required fan speed.

7. The fan control system for fan control signal status according to claim 2, characterized in that: The specific steps of the speed adjustment module are analyzed as follows: The fan's internal mechanical heat value is divided into different levels according to the preset temperature range, and the different levels are used to determine the degree of overheating; The built-in infrared detector detects the thermal radiation energy of the person. When the thermal radiation energy of the person is lower than the thermal radiation energy threshold, the fan speed is adjusted according to the different levels of overheating. When the thermal radiation energy of the person is greater than the thermal radiation energy threshold, the fan speed is adjusted to the maximum safe speed, and then the fan speed is adjusted according to different levels of overheating to ensure that the fan speed is always lower than the maximum safe speed.

8. A fan control method for fan control signal status, applying the fan control system for fan control signal status according to any one of claims 1 to 7, characterized in that: The following steps are involved: Locating the person's position based on the fan's built-in positioning device, and acquiring infrared imaging data and ambient humidity values ​​using a built-in infrared detection instrument and a humidity sensor, wherein the infrared imaging data includes infrared imaging data of the person and infrared imaging data of the environment; Analyze the difference between the infrared imaging data of the person and the infrared imaging data of the environment, and calculate the contribution of the person to the ambient humidity value based on the preset infrared imaging and humidity relationship model. Then, based on the ambient humidity value and the contribution of the person to the ambient humidity value, determine the water vapor content released by the human body. The water vapor content released by the human body is compared with the preset water vapor release threshold to determine whether to transmit the signal for starting the fan; When a signal to start the fan is received, the relationship between humidity and speed is used, combined with the current water vapor content released by the human body, to determine the required fan speed. Then, a signal to adjust the fan speed is received and the fan is started. Monitor the fan's internal mechanical heat value in real time, and then use the determined fan's required speed and the fan's internal mechanical heat value to perform a deviation analysis to determine whether to issue an overheating warning; When an overheating warning is received, the degree of overheating is identified and the fan speed is adjusted based on the infrared imaging data of the person and the degree of overheating.

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