Fan control system and method for fan control signal state

Abstract

The invention discloses a fan control system and method for a fan control signal state, and relates to the technical field of fan control, the difference between figure infrared imaging data and environment infrared imaging data is analyzed, and the content of water vapor released by a human body is determined by combining a preset infrared imaging and humidity relation model. Whether a demand signal for starting the fan is transmitted or not is judged; determining the rotating speed required by the fan by utilizing the relation model between the humidity and the rotating speed and combining the current human body release water vapor content; and the internal mechanical heat value of the fan is monitored in real time, whether overheating early warning is sent out or not is judged, then the overheating degree is recognized, and the rotating speed of the fan is adjusted according to the figure infrared imaging data and the overheating degree. Accurate positioning, intelligent humidity adjustment, demand drive starting and rotating speed self-adaptive adjustment, overheating early warning and intelligent rotating speed adjustment of the fan are achieved, so that the user experience is improved, the energy utilization efficiency is improved, and the safety and reliability of the fan are enhanced.

Description

Technical Field

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

[0002] With the improvement of people's living standards and the continuous development of technology, the demand for the intelligentization of traditional household appliances such as fans is increasing day by day. People hope that fans can be more intelligent, convenient, comfortable and safe. At the same time, the rise of the smart home concept has promoted the development of various household appliances towards the direction of intelligentization and interconnection. As a common household device, the fan also needs 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 single, and only operate through simple switches or fixed speed settings, unable to flexibly adjust according to the real-time state of the environment and the human body. In addition, existing fans lack a real-time monitoring and protection mechanism for their own operating states, and are prone to problems such as overheating due to long-term operation or faults, posing safety hazards, and rarely considering the demand of the water vapor content released by the human body for fan control during operation.

[0004] Therefore, in view of the above problems, there is an urgent need for a fan control system and method for the state of a fan control signal. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a fan control system and method for the state of a fan control signal, which solves the problems that traditional fan control methods lack personalization and intelligentization, cannot adaptively adjust according to the actual needs of the human body and the environmental state, and lack an overheat warning and protection mechanism.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A fan control system for the state of the fan control signal, comprising: a data acquisition module, configured to locate the position of a person based on a built-in positioning device of the fan, and acquire infrared imaging data and ambient humidity values by using a built-in infrared detection instrument and a humidity sensor, where the infrared imaging data includes human infrared imaging data and ambient infrared imaging data; a human body water vapor release content determination module, configured to analyze the difference between the human infrared imaging data and the ambient infrared imaging data, combine a preset relationship model between infrared imaging and humidity, calculate the contribution value of the person to the ambient humidity value, and then determine the human body water vapor release content based on the ambient humidity value and the contribution value of the person to the ambient humidity value; a fan start demand signal judgment module, configured to compare the human body water vapor release content with a preset water vapor release threshold to judge whether to transmit a demand signal for starting the fan; a start signal reception and speed control module, configured to, when receiving a demand signal for starting the fan, use a relationship model between humidity and speed, combine the current human body water vapor release content, determine the required speed of the fan, and then receive a fan speed adjustment demand signal and start the fan; an overheat warning module, configured to monitor the internal mechanical heat value of the fan in real time, and then perform a relationship deviation analysis between the determined required speed of the fan and the internal mechanical heat value of the fan to judge whether to issue an overheat warning; a speed adjustment module, configured to, when receiving an overheat warning, identify the degree of overheating, and then adjust the fan speed according to the human infrared imaging data and the degree of overheating.

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

[0008] Further, the specific steps of the human body water vapor release content determination module are analyzed as follows: identifying the difference between the thermal radiation energy of the person and the thermal radiation energy of the environment, where the specific difference is the proportion of the thermal radiation energy of the person and the thermal radiation energy of the environment in the total thermal radiation energy; substituting the proportion of the thermal radiation energy of the person in the total thermal radiation energy into the relationship model between infrared imaging and humidity, outputting the contribution value of the person to the ambient humidity value, and then obtaining the human body water vapor release content by taking the product of the contribution value of the person to the ambient humidity value and the ambient humidity value.

[0009] Further, the preset method of the relationship model between infrared imaging and humidity is analyzed as follows: obtaining the data for constructing the relationship model between infrared imaging and humidity, where the data for constructing the relationship model between infrared imaging and humidity is specifically the thermal radiation energy and ambient humidity values measured by an infrared imager under different ambient humidity conditions; using the obtained data for constructing the relationship model between infrared imaging and humidity to fit the relationship between infrared imaging and humidity, obtaining the relationship coefficient between infrared imaging and humidity, and then establishing a relationship model between the thermal radiation energy and the ambient humidity value.

[0010] Further, the specific analysis of determining whether to transmit a demand signal for starting the fan is as follows: Based on the fan control requirement, 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 demand signal for starting the fan needs to be transmitted; when the water vapor content released by the human body does not exceed 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.

[0011] Further, the specific steps of the start signal receiving and speed control module are analyzed as follows: Using the relationship model between humidity and speed, data pairs are constructed to fit the relationship between humidity and speed, and a relationship model between humidity and speed is obtained. The data for constructing the relationship model between humidity and speed are specifically the fan speeds determined through experimental adjustment and verification under different water vapor contents released by the human body; the current water vapor content released by the human body 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 output. According to the required fan speed, a fan speed adjustment demand signal is generated, and this signal is sent to the fan drive module to start the fan and adjust it to the required fan speed.

[0012] Further, the specific steps of the overheat warning module are analyzed as follows: By fitting the measured internal mechanical heat values of the fan at different speeds, a relationship model between the required fan speed and the internal mechanical heat value of the fan is determined; the determined required fan speed of the fan 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 then the deviation value is compared with the deviation threshold. When the deviation value is greater than the deviation threshold, it is determined that there is an overheat problem, and an overheat warning signal is transmitted using the alarm mechanism.

[0013] Further, the specific steps of the speed adjustment module are analyzed as follows: The internal mechanical heat value of the fan is divided into different levels according to the preset temperature range, and different levels are used to determine the degree of overheat; an internal infrared detection instrument is used to detect 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 different levels of the degree of overheat; 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 the degree of overheat to ensure that the fan speed is always lower than the maximum safe speed.

[0014] A fan control method for the state of a fan control signal, which applies the above-mentioned fan control system for the state of a fan control signal, includes the following steps: Locating the position of a person based on a built-in positioning device of the fan, and obtaining infrared imaging data and ambient humidity values by using a built-in infrared detection instrument and a humidity sensor, where the infrared imaging data includes human infrared imaging data and ambient infrared imaging data; Analyzing the difference between the human infrared imaging data and the ambient infrared imaging data, combining with a preset relationship model between infrared imaging and humidity, calculating the contribution value of the person to the ambient humidity value, 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; Comparing 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; When receiving the demand signal to start the fan, using the relationship model between humidity and rotational speed, combining with the current water vapor content released by the human body, determining the required rotational speed of the fan, and then receiving the fan rotational speed adjustment demand signal and starting the fan; Real-time monitoring the mechanical heat value inside the fan, and then performing relationship deviation analysis using the determined required rotational speed of the fan and the mechanical heat value inside the fan to determine whether to issue an overheat warning; When receiving the overheat warning, identifying the degree of overheating, and then adjusting the fan rotational speed according to the human infrared imaging data and the degree of overheating.

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

[0016] The fan control system and method for the state of a fan control signal can accurately locate the position of a person through a built-in positioning device and an infrared detection instrument, and obtain relevant data of the person and the environment, realizing personalized fan control based on the position and state of the person, and improving the user experience; Combining the infrared imaging data and the ambient humidity value, the system can analyze the contribution value of the person to the ambient humidity, and then 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, it is determined whether to start the fan, and this demand-driven fan start method avoids unnecessary energy consumption and improves energy utilization efficiency; Using the relationship model between humidity and rotational speed, combining with the current water vapor content released by the human body, determining the required rotational speed of the fan, and the adaptive adjustment method can ensure that the fan can provide a suitable wind speed in different humidity environments to meet the user's needs; Real-time monitoring the mechanical heat value inside the fan, and judging whether to issue an overheat warning through relationship deviation analysis, which helps to detect and handle the fan overheat problem in time, protects the fan from damage, and extends its service life; When receiving the overheat warning, it can identify the degree of overheating, and adjust the fan rotational speed according to the human infrared imaging data and the degree of overheating. The intelligent rotational speed adjustment method not only ensures the safe operation of the fan, but also minimizes the impact on the user's comfort.

[0017] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. Description of the Drawings

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

[0019] Figure 2 This is a flowchart of a method for a fan control system for the state of a fan control signal according to the present invention. Detailed Embodiment

[0020] In the embodiments of the present application, through a fan control system and method for the state of a fan control signal, accurate positioning of the fan, intelligent humidity adjustment, demand-driven start and adaptive speed adjustment, overheat warning and intelligent speed adjustment are realized, thereby improving the user experience, enhancing the energy utilization efficiency, and enhancing the safety and reliability of the fan.

[0021] The general idea of the embodiments of the present application is as follows:

[0022] Utilize the positioning device, infrared detection instrument and humidity sensor built in the fan to obtain multi-source information such as the position of the person, infrared imaging data and environmental humidity value; by analyzing the difference between the person's infrared imaging data and the environmental infrared imaging data, and combining with a preset model to calculate the water vapor content released by the human body, so as to judge whether to start the fan and determine the initial speed of the fan; monitor the internal mechanical heat value of the fan in real time, perform a relationship deviation analysis with the required speed of the fan, and judge whether to issue an overheat warning; when receiving the overheat warning, adjust the fan speed 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] Please refer to Figure 1, an embodiment of the present invention provides a technical solution: a fan control system for the state of a fan control signal, including: a data acquisition module, configured to locate the position of a person based on a built-in positioning device of the fan, and acquire infrared imaging data and ambient humidity value by using a built-in infrared detection instrument and a humidity sensor, where the infrared imaging data includes human infrared imaging data and ambient infrared imaging data; a human body water vapor release amount determination module, configured to analyze the difference between the human infrared imaging data and the ambient infrared imaging data, combine a preset relationship model between infrared imaging and humidity, calculate the contribution value of the person to the ambient humidity value, and further determine the human body water vapor release amount 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, configured to compare the human body water vapor release amount with a preset water vapor release threshold to judge whether to transmit a demand signal for starting the fan; a start signal reception and speed control module, configured to, when receiving a demand signal for starting the fan, determine the required speed of the fan by using a relationship model between humidity and speed and combining the current human body water vapor release amount, and further receive a fan speed adjustment demand signal and start the fan; an overheat warning module, configured to monitor the internal mechanical heat value of the fan in real time, and further perform a relationship deviation analysis between the determined required speed of the fan and the internal mechanical heat value of the fan to judge whether to issue an overheat warning; a speed adjustment module, configured to, when receiving an overheat warning, identify the degree of overheat, and further adjust the fan speed according to the human infrared imaging data and the degree of overheat.

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

[0025] The specific steps of the human body water vapor release amount determination module are analyzed as follows: identifying the difference between the human thermal radiation energy and the ambient thermal radiation energy, where the specific difference is the proportion of the human thermal radiation energy and the ambient thermal radiation energy in the total thermal radiation energy respectively; substituting the proportion of the human thermal radiation energy in the total thermal radiation energy into the relationship model between infrared imaging and humidity, and outputting the contribution value of the person to the ambient humidity value, and further obtaining the human body water vapor release amount by taking the product of the contribution value of the person to the ambient humidity value and the ambient humidity value.

[0026] The preset method of the relationship model between infrared imaging and humidity is analyzed as follows: obtaining the data for constructing the relationship model between infrared imaging and humidity, where the data for constructing the relationship model between infrared imaging and humidity is specifically the thermal radiation energy and the ambient humidity value measured by an infrared imager under different ambient humidity conditions; using the obtained data for constructing the relationship model between infrared imaging and humidity to fit the relationship between infrared imaging and humidity, obtaining the relationship coefficient between infrared imaging and humidity, and further establishing a relationship model between the thermal radiation energy and the ambient humidity value.

[0027] In this implementation, the built-in positioning device of the fan is used to determine the position of a person in space, so that the fan can make targeted adjustments according to the person's position. For example, the fan can blow air towards the position where the person is located, improving the comfort and effectiveness of use. The built-in infrared detection instrument can detect the thermal radiation energy of the person and the environment, convert it into infrared imaging data, and provide data support for analyzing the thermal state of the human body and the environment. Furthermore, it can be used to judge the influence of the human body on the environmental humidity and adjust the fan speed according to the heat condition of the human body in the future. The humidity sensor is used to measure the environmental humidity value in real time. Combined with the data obtained by the infrared detection instrument, they jointly provide a basis for calculating the water vapor content released by the human body and judging the operating state of the fan. The information obtained by these three devices is an important basis for the fan control signal state. The positioning device determines the person's position and helps the fan adjust the blowing direction. The data obtained by the infrared detection instrument and the humidity sensor are used to calculate the water vapor content released by the human body, and then judge whether to transmit a demand signal to start the fan and determine the fan speed. At the same time, the infrared imaging data of the person obtained by the infrared detection instrument is also used to adjust the fan speed when the fan issues an overheat warning, so as to achieve comprehensive intelligent control of the fan.

[0028] The thermal radiation energy of a person is the energy carried by the thermal radiation emitted by the human body due to its own temperature. The human body is a thermal radiation source, and its thermal radiation energy is related to factors such as the human body's temperature and surface area, reflecting the heat situation emitted by the human body to the surrounding environment. The environmental thermal radiation energy refers to the energy carried by the thermal radiation emitted by the surrounding environment (including objects, air, etc.) due to its own temperature. All kinds of objects in the environment have their own temperatures and will emit thermal radiation. The environmental thermal radiation energy reflects the thermal state of the environment.

[0029] The thermal radiation energy of a person is detected by the built-in infrared detection instrument of the fan. The infrared detection instrument can sense the infrared radiation emitted by different objects and convert it into an electrical signal or a digital signal, and then form infrared imaging data, which contains information on the thermal radiation energy of the person and the environmental thermal radiation energy. Generally speaking, the infrared detection instrument will convert the detected thermal radiation energy into a gray value or a digital value. For example, in some infrared imaging systems, the higher the thermal radiation energy, the higher the corresponding gray value or the larger the digital value. By analyzing and processing the infrared imaging data, these gray values or digital values can be calibrated and converted with the actual thermal radiation energy, so as to achieve the quantification of the thermal radiation energy of the person and the environmental thermal radiation energy. 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 relationship model between infrared imaging and humidity are as follows: Record the thermal radiation energy measured by an infrared imager and the corresponding environmental humidity values under different environmental humidity conditions to obtain a large amount of data for constructing the relationship model between infrared imaging and humidity; perform preprocessing operations such as cleaning and denoising on the collected data to improve the data quality; select an appropriate fitting algorithm, such as the least squares method, etc., to fit the preprocessed data and find the relationship coefficient between infrared imaging (thermal radiation energy) and humidity; based on the obtained relationship coefficient, establish a relationship model between the thermal radiation energy and the environmental humidity value. An example of the expression of the relationship model between infrared imaging and humidity is: , where represents the thermal radiation energy, represents the environmental humidity value, , , represent the model coefficients.

[0031] The reasons and benefits for judging whether to turn on the fan by analyzing the water vapor content released by the human body are as follows: The water vapor content released by the human body reflects to a certain extent the heat dissipation demand and comfort of the human body. When the water vapor content released by the human body is high, it indicates that the human body may be in a relatively hot or humid state and needs to accelerate air flow through devices such as fans to promote sweat evaporation, so as to achieve the purpose of heat dissipation and improve comfort; this judgment method is more scientific and intelligent, and can control the start of the fan according to the actual physiological state and needs of the human body, avoiding the blindness of starting the fan only based on subjective feelings or fixed time settings in the traditional fan control method, and improving the comfort and energy efficiency of fan use.

[0032] By analyzing the difference between the thermal radiation energy of the person and the environmental thermal radiation energy and combining the relationship model between infrared imaging and humidity, it is possible to calculate more accurately the contribution value of the person to the environmental humidity value, and then obtain the water vapor content released by the human body, providing a more accurate basis for the subsequent intelligent control of the fan.

[0033] Specifically, the specific analysis for judging whether to transmit the demand signal to start the fan is as follows: Based on the fan control requirement, preset the water vapor release threshold, and then compare the water vapor content released by the human body with the water vapor release threshold. When the water vapor content released by the human body exceeds the water vapor release threshold, it is judged that a demand signal to start the fan needs to be transmitted; when the water vapor content released by the human body does not exceed the water vapor release threshold, there is no need to transmit the demand signal to start the fan, and the water vapor content released by the human body is continuously detected.

[0034] In this implementation, the steps for setting the water vapor release threshold are as follows: Consider various factors such as environmental temperature, human activity level, and different seasons that affect human sweating (release of water vapor). For example, in a high-temperature environment or after intense human exercise, the amount of water vapor released by the human body will increase. Also, the perception and demand for humidity by the human body vary in different seasons. Under different typical environmental conditions (different temperatures, humidities, human activity states, etc.), collect a large amount of data on the water vapor content released by the human body. This can be done through experiments where different people perform different levels of activities in various set environments, and then measure the water vapor content they release. Analyze the collected data to find the approximate range of the water vapor content released by the human body when most people feel comfortable or need a fan for ventilation to improve the environment. Based on the data analysis results, set a preliminary water vapor release threshold that can accurately trigger the fan to start in common situations where the fan is needed to run, while avoiding false starts when not necessary. Apply the set threshold to the actual scenario for testing, observe whether the startup frequency of the fan is reasonable, whether it can effectively meet people's ventilation needs, and at the same time not start overly frequently. Fine-tune and optimize the threshold according to 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 the threshold to determine whether to start the fan, intelligent automatic control of the fan is achieved, avoiding frequent manual operations, being able to provide ventilation in a timely manner according to the actual human needs, and improving the convenience and comfort of use. The fan is only started when the water vapor content released by the human body exceeds the threshold, avoiding unnecessary operation of the fan, thus saving energy and reducing energy consumption costs.

[0036] Specifically, the analysis of the specific steps of the start signal receiving and speed control module is 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 the fan speed determined through experimental adjustment and verification under different water vapor contents released by the human body. Substitute the currently determined water vapor content released by the human body based on the water vapor content determination module for the human body into the relationship model between humidity and speed, output the required fan speed, generate a fan speed adjustment demand signal according to the required fan speed, and send this signal to the fan drive module to start the fan and adjust it to the required fan speed.

[0037] In this implementation scheme, the specific steps for constructing the relationship model between humidity and rotational speed are as follows: Record the fan rotational speeds determined through experimental adjustment and verification under different water vapor contents released by the human body. Conduct experiments under various different environmental conditions and human activity states to simulate various possible situations of water vapor contents released by the human body, and measure and record the corresponding fan rotational speeds in each experiment; Clean and preprocess the collected data, remove outliers and incorrect data, and perform standardization or normalization processing on the data to ensure the quality and consistency of the data, facilitating subsequent analysis and modeling; According to the characteristics and distribution of the data, select an appropriate fitting method, such as linear regression, polynomial regression, non - linear regression, etc. If the data shows a relatively complex non - linear relationship, a non - linear regression method may be required to better fit; Use the selected fitting method to fit the preprocessed data. By adjusting the parameters of the model, make the model best describe the relationship between humidity (water vapor content released by the human body) and fan rotational speed. During the fitting process, continuously optimize the parameters of the model to minimize the fitting error; Use evaluation metrics, such as mean squared error (MSE), mean absolute error (MAE), coefficient of determination (R²), etc., to evaluate the fitted model, and judge the fitting effect and prediction ability of the model. If the evaluation result of the model is not satisfactory, re - adjust the fitting method or further process the data, and then perform fitting and evaluation again until a satisfactory model is obtained; Use an independent validation data set to validate the constructed model to ensure that the model can also exhibit good prediction performance on new data and avoid overfitting of the model. If the model performs well on the validation set, it indicates that the model has good generalization ability and can be used for actual fan rotational speed control. An example of the expression of the relationship model between humidity and rotational speed is: ; In the formula represents the fan rotational speed, m represents the water vapor content released by the human body, and k, d represent the model coefficients.

[0038] Precisely adjust the fan rotational speed according to the water vapor content released by the human body, making the operating state of the fan match the actual needs of the human body, providing the most suitable ventilation effect, and enhancing comfort; Achieve automatic adjustment of the fan rotational speed without manual intervention, improve the intelligent level of fan control, and facilitate user use; Avoid problems of energy waste and poor ventilation effect caused by too high or too low fan rotational speed. While meeting the needs of users, maximize energy conservation and improve energy utilization efficiency.

[0039] Specifically, the specific steps of the overheat warning module are analyzed as follows: Fit by measuring the mechanical heat value inside the fan at different rotational speeds to determine the relationship model between the required rotational speed of the fan and the mechanical heat value inside the fan; Substitute the determined required rotational speed of the fan into the relationship model between the required rotational speed of the fan and the mechanical heat value inside the fan to obtain the theoretical value of the mechanical heat inside the fan; Take the deviation value between the theoretical value of the mechanical heat inside the fan and the real-time monitored mechanical heat value inside the fan, and then compare the deviation value with the deviation threshold. When the deviation value is greater than the deviation threshold, it is judged that there is an overheat problem, and an overheat warning signal is transmitted using the alarm mechanism.

[0040] In this implementation plan, the specific construction steps of the relationship model between the required rotational speed of the fan and the mechanical heat value inside the fan are as follows: At different rotational speeds of the fan, use appropriate temperature measurement devices (such as thermocouples, thermistors, etc.) to measure the heat value of the mechanical components inside the fan. To ensure the accuracy and comprehensiveness of the data, measurements need to be carried out under a variety of different environmental conditions (such as different environmental temperatures, humidities, etc.) and fan operating times, and record the corresponding rotational speed and heat value data; Clean the collected data, remove obvious error or abnormal data points, and then normalize or standardize the data to eliminate the influence of different dimensions on the data and make the data more suitable for model fitting; According to the distribution characteristics and preliminary analysis of the data, select an appropriate function form to fit the relationship between the required rotational speed of the fan and the mechanical heat value inside the fan. Common function forms include linear functions, polynomial functions, exponential functions, logarithmic functions, etc. If the data shows a relatively complex non-linear relationship, multiple function forms need to be tried or a more complex non-linear model, such as a neural network model, etc., needs to be adopted; Use the selected fitting function to fit the preprocessed data. By adjusting the parameters of the function, make the model best describe the relationship between the rotational speed and the heat value. Specifically, use numerical optimization algorithms, such as the least squares method, gradient descent method, etc., to minimize the error between the model prediction value and the actual measurement value; Adopt 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 fitting degree 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 selection of the fitting function or further process the data, and then perform fitting and evaluation again until a satisfactory model is obtained.

[0041] The deviation threshold is set as follows: Refer to the design specifications and safe operating parameters of the fan to understand the maximum heat value that the fan can withstand during normal operation and the corresponding reasonable heat ranges at different speeds. Based on this information, combined with the heat dissipation capacity and material characteristics of the fan, determine a deviation threshold such that when the internal mechanical heat value of the fan exceeds this threshold, it indicates that the fan may be in an overheated state and a warning needs to be issued. A series of experiments can also be conducted to operate the fan under different working conditions, observe the heat changes of the fan in various situations and the deviation values when overheating occurs. At the same time, combined with past experience and the operating data of similar fans, comprehensively determine a suitable deviation threshold. This threshold should be able to detect potential overheating problems in a timely manner and not be overly sensitive to avoid excessive false alarms. To ensure the safe operation of the fan, a certain safety margin is usually considered when setting the deviation threshold, that is, on the basis of the maximum heat value that the fan can withstand, appropriately reduce the deviation threshold to issue an overheating warning in advance, providing sufficient time to take corresponding measures (such as reducing the fan speed, stopping the fan operation, etc.) to avoid serious damage to the fan due to overheating.

[0042] Monitor the internal mechanical heat condition of the fan in real time. By establishing a relationship model between the required fan speed and the mechanical heat value, timely detect whether there is an overheating problem with the fan. Once overheating is detected, immediately issue a warning signal, which helps prevent the fan from being damaged due to overheating, extends the service life of the fan, and also avoids potential safety hazards caused by fan overheating, such as fires. Through the analysis of the relationship between the required fan speed and the mechanical heat value, the fan speed can be reasonably adjusted according to the actual operating conditions, enabling the fan to operate in a state that not only meets the heat dissipation requirements but also avoids overheating, improving the stability and efficiency of the fan operation.

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

[0044] In this implementation plan, the temperature range is preset as follows: Preset the temperature range according to factors such as the material characteristics, heat dissipation capacity, and safe operating range of the fan. It can also be divided non-equidistantly according to the performance changes of the fan at different temperatures. The interval is wider at lower temperatures and gradually narrows as the temperature approaches an increase, in order to more accurately monitor and control the overheating situation of the fan.

[0045] The method for setting the thermal radiation energy threshold is as follows: It can be set through experiments and statistical analysis. Under different environmental conditions, measure the thermal radiation energy values of different people when they feel comfortable and uncomfortable, and collect a large amount of data; conduct statistical analysis on these data, such as taking the average value, median, or determining a reasonable value as the thermal radiation energy threshold according to a certain confidence interval. It is also possible to adjust this threshold in combination with the heat dissipation capacity of the fan and the 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 users while not overresponding to some minor thermal radiation changes.

[0046] The method for obtaining the maximum safe speed is as follows: It is determined by the fan manufacturer based on factors such as the fan's structural design, motor performance, heat dissipation capacity, and the tolerance of the materials. During the product R & D and testing stages, the manufacturer will conduct various extreme tests on the fan, including running at different speeds and monitoring various performance indicators and safety indicators of the fan, such as motor temperature, component wear, vibration conditions, etc. Through these tests, find the highest speed at which the fan can operate stably for a long time without safety problems (such as motor burnout, component damage and flying out, etc.). This speed is the maximum safe speed and will be clearly given in the product specification manual.

[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 , ), , ), , ), where , , are preset temperature values, and < < . When the thermal radiation energy of the person is lower than the thermal radiation energy threshold: If the internal mechanical heat value of the fan is at the mild overheating level, that is, , the fan speed can be reduced by a small amplitude, such as 10%; if it is at the moderate overheating level, that is, , the fan speed is reduced by a large amplitude, such as 30%; if it is at the severe overheating level, that is, , the fan speed is reduced to a lower safe speed.

[0048] By adjusting the fan speed according to the degree of overheating and the human body's heat radiation energy, it is possible to avoid damage to the fan caused by overheating, extend the service life of the fan, and ensure safety during use. Considering the human body's heat radiation energy, when the human body's heat radiation energy is low, the fan speed can be adjusted more precisely according to the degree of overheating, reducing the noise and energy consumption caused by unnecessary high-speed operation of the fan. When the human body's heat radiation energy is high, ensure that the fan operates at a speed that can provide effective heat dissipation to guarantee the user's comfort.

[0049] Please refer to Figure 2 , a fan control method for the fan control signal state, applying the above-mentioned fan control system for the fan control signal state, including the following steps: Locating the human position based on the built-in positioning device of the fan, and obtaining infrared imaging data and ambient humidity value by using the built-in infrared detection instrument and humidity sensor. The infrared imaging data includes human infrared imaging data and ambient infrared imaging data; Analyzing the difference between the human infrared imaging data and the ambient infrared imaging data, combining the preset relationship model between infrared imaging and humidity, calculating the contribution value of the human body to the ambient humidity value, and then determining the water vapor content released by the human body based on the ambient humidity value and the contribution value of the human body to the ambient humidity value; Comparing the water vapor content released by the human body with the preset water vapor release threshold to determine whether to transmit a demand signal to start the fan; When receiving the demand signal to start the fan, using the relationship model between humidity and speed, combining the current water vapor content released by the human body, determining the required speed of the fan, and then receiving the fan speed adjustment demand signal and starting the fan; Real-time monitoring of the mechanical heat value inside the fan, and then using the determined required speed of the fan and the mechanical heat value inside the fan for relationship deviation analysis to determine whether to issue an overheating warning; When receiving the overheating warning, identifying the degree of overheating, and then adjusting the fan speed according to the human infrared imaging data and the degree of overheating.

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

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

[0052] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods and systems. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0053] The present invention is described with reference to the flowcharts and structural diagrams of methods and systems according to the embodiments of the present invention. It should be understood that each process and module combination in the flowcharts and structural diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, so that the instructions executed by the processors of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one process or multiple processes and structures Figure 1 one module or multiple modules.

[0054] These computer program instructions can 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 generate a manufactured article including instruction means, and the instruction means implement the functions specified in Figure 1 one process or multiple processes and structures Figure 1 one module or multiple modules.

[0055] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one process or multiple processes and structures Figure 1 one module or multiple modules.

[0056] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0057] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A fan control system for a fan control signal state, characterized in that: include: A data acquisition module, 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 environmental 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 environment; The water vapor content determination module 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 value of the human body to the environmental humidity value in combination with the preset infrared imaging and humidity relationship model, and then determine the water vapor content released by the human body based on the environmental humidity value and the contribution value of the human body to the environmental 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 for starting the fan; The start signal receiving and speed control module is used to determine the required speed of the fan when receiving a signal for starting 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 signal for adjusting the fan speed and starting the fan; The overheat warning module is used to monitor the mechanical heat value inside the fan in real time, and then use the determined fan required speed and the mechanical heat value inside the fan to perform a relationship deviation analysis to determine whether to issue an overheat warning; 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 a fan control signal state 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 a fan control signal state 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: Identify the difference between the thermal radiation energy of the person and the thermal radiation energy of the environment, specifically the proportion of the thermal radiation energy of the person and the thermal radiation energy of the environment to the total thermal radiation energy; The proportion of the thermal radiation energy of the person to the total thermal radiation energy is substituted into the infrared imaging and humidity relationship model, and the contribution value of the person to the ambient humidity value is output, and then the product of the contribution value of the person to the ambient humidity value and the ambient humidity value is taken to obtain the water vapor content released by the human body.

4. A fan control system for fan control signal status according to claim 2, characterized in that: The preset mode 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 environmental humidity values ​​measured by the infrared imager under different environmental 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 the relationship model between thermal radiation energy and ambient humidity value is established.

5. A 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: 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 a demand signal for starting the fan, and the water vapor content released by the human body is continuously detected.

6. A 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 by using the data of the relationship model between humidity and speed to obtain the relationship model between humidity and speed. The data of the relationship model between humidity and speed is specifically the fan speed determined by experimental adjustment and verification under different water vapor contents released by human body. 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 driving module to start the fan and adjust it to the required speed of the fan.

7. A fan control system for fan control signal status according to claim 1, characterized in that: The specific steps of the overheat warning module are analyzed as follows: The relationship model between the required fan speed and the fan internal mechanical heat value is determined by fitting the measured fan 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 internal mechanical heat value to obtain the fan internal mechanical heat theoretical value; The deviation between the theoretical value of the fan's internal mechanical heat and the real-time monitored value of the fan's internal mechanical heat is taken, and then the deviation value is compared with the deviation threshold. When the deviation value is greater than the deviation threshold, it is determined that there is an overheating problem, and the alarm mechanism is used to transmit an overheating warning signal.

8. A 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 detection instrument is used to detect 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 character 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.

9. A fan control method for a fan control signal state, using a fan control system for a fan control signal state according to any one of claims 1 to 8, characterized in that: The following steps are involved: The fan locates the position of the person based on the built-in positioning device of the fan, and uses the built-in infrared detection instrument and the humidity sensor to obtain infrared imaging data and the environmental humidity value, 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, calculate the contribution of the person to the ambient humidity value by combining 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 person to the ambient humidity value; The water vapor content released by the human body is compared with the preset water vapor release threshold to determine whether to transmit a signal for starting the fan; When a signal for starting the fan is received, the required speed of the fan is determined by using the relationship model between humidity and speed, combined with the current water vapor content released by the human body, and then the fan speed adjustment signal is received and the fan is started; Monitor the mechanical heat value inside the fan in real time, and then use the determined fan required speed and the mechanical heat value inside the fan to perform relationship 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.

Images