Radiator thermostatic valve and data processing method thereof

Abstract

The present invention relates to the field of electronic digital processing technology, and discloses a radiator thermostatic valve and a data processing method thereof, the method comprising: data acquisition, collecting ambient temperature data, and the ambient temperature data is used as an input signal of a control center; the control center processes the collected ambient temperature data, calculates the processed ambient temperature data and a preset target temperature value, and controls the driving part of the radiator thermostatic valve to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data; feedback regulation, recording the adjustment result, calculating the deviation between the actual temperature and the target temperature value in real time, and correcting the valve opening during the second temperature adjustment according to the calculation result. Through data acquisition, processing and feedback regulation, the automatic adjustment of the radiator thermostatic valve is realized, and the valve opening can be automatically adjusted according to the change of ambient temperature to keep the indoor temperature constant.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital processing, in particular to a radiator thermostatic valve and a data processing method thereof. Background Art

[0002] As one of the key components in the HVAC system, the radiator thermostatic valve is mainly used to adjust the flow of hot water through the radiator, thereby controlling the indoor temperature. Traditional thermostatic valves mainly rely on mechanical structures for temperature regulation. Although the structure is simple and the cost is low, the accuracy is low and the response speed is slow. It is difficult to adapt to the higher requirements of temperature control accuracy and efficiency in modern smart homes.

[0003] With the development of intelligent control technology, more and more thermostatic valves are beginning to adopt electronic control, which can achieve more accurate temperature control and can automatically adjust the valve opening according to real-time changes in the environment. However, existing electronic thermostatic valves still face some problems in practical applications: for example, the signal of the temperature sensor is easily interfered by the outside world, resulting in volatility and abnormal values ​​in the collected data, which will directly affect the adjustment accuracy of the valve opening; in addition, the existing thermostatic valves mostly use simple linear control algorithms, which fail to fully consider the trend of temperature changes and historical data, resulting in unsatisfactory control effects and unstable temperature regulation.

[0004] In view of the above problems, a new data processing method for radiator thermostatic valve is proposed to improve the control accuracy and response speed of the thermostatic valve and provide users with a more comfortable indoor environment. Summary of the invention

[0005] In view of this, the present invention proposes a radiator thermostatic valve and a data processing method thereof, aiming to solve the problem that the thermostatic valves in the current technology mostly adopt a simple linear control algorithm, fail to fully consider the trend of temperature change and historical data, resulting in unsatisfactory control effect and unstable temperature regulation.

[0006] On the one hand, the present invention provides a radiator thermostatic valve data processing method, comprising:

[0007] Data collection, collecting ambient temperature data, and the ambient temperature data is used as an input signal of the control center;

[0008] The control center processes the collected ambient temperature data, calculates the processed ambient temperature data and a preset target temperature value, and controls the driving component of the radiator thermostatic valve to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data;

[0009] Feedback regulation, recording the results of the adjustment, calculating the deviation between the actual temperature and the target temperature value in real time, and correcting the valve opening during the second temperature adjustment according to the calculation result.

[0010] Optionally, the data processing includes eliminating outliers and reducing data volatility.

[0011] Optionally, the processing ambient temperature data is calculated with a preset target temperature value, and a driving component of the radiator thermostatic valve is controlled to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data, including:

[0012] The fuzzy set NL of the preset temperature difference E E NS E , Z E ,PS E , PL E ;

[0013] Fuzzy set NL of preset temperature change trend iE iE NS iE , Z iE ,PS iE , PL iE ;

[0014] The fuzzy set NL of the preset valve opening C C NS C , Z C ,PS C , PL C ;

[0015] The heating power C is determined by the temperature difference E and the temperature change trend iE; the temperature change trend is the difference between the ambient temperature of the previous minute and the current ambient temperature;

[0016] Setting NL E -10~-5℃, NS E -7.5~-2.5℃, Z E -2.5~2.5℃, PS E 2.5~7.5℃, PL E 5~10℃;

[0017] Setting NL iE -2~-1.5℃, NS iE -1.75~-1.25℃, Z iE -1.25~1.25℃, PS iE 1.25~1.75℃, PL iE 1.5~2℃;

[0018] Setting NL C 0~25%, NS C 15~40%, Z C 35~65%, PS C 60~85%, PL C It is 75~100%.

[0019] Optionally, the processed ambient temperature data is calculated with a preset target temperature value, and a driving component of the radiator thermostatic valve is controlled to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data, further comprising: determining the valve opening C by defuzzification using a centroid method;

[0020] The centroid defuzzification method includes: each fuzzy set Ai corresponds to a membership function ųAi(x), where x represents the specific value of the output variable, and ųAi(x) represents the membership of x on the set Ai, and the set Ai includes the fuzzy set NL of the temperature difference E E NS E , Z E ,PS E , PL E and the fuzzy set NL of temperature change trend iE iE NS iE , Z iE ,PS iE , PL iE and the fuzzy set NL of valve opening C C NS C , Z C ,PS C , PL C ;

[0021] The centroid of the membership function of all fuzzy output sets is calculated to obtain the final output value. The formula for calculating the centroid Yc is:

[0022] ;

[0023] Where x is the value of the output variable, is the membership degree of the fuzzy set Ai at x, and n is the total number of fuzzy sets involved in defuzzification.

[0024] Optionally, the center of gravity Yc is used as an output signal of the valve opening C to control a specific value of the valve opening.

[0025] Optionally, the deviation between the actual temperature and the target temperature value is calculated in real time, and the valve opening during the second temperature adjustment is corrected according to the calculation result, specifically including: recording the temperature adjustment time actually required to adjust to the target temperature, judging the relationship between the temperature adjustment time and the preset temperature adjustment time, and correcting the valve opening during the second temperature adjustment.

[0026] Optionally, the determining the relationship between the temperature adjustment time and the preset temperature adjustment time and correcting the valve opening during the second temperature adjustment specifically includes:

[0027] A first temperature adjustment time C1, a second temperature adjustment time C2, a third temperature adjustment time C3, a fourth temperature adjustment time C4 and a fifth temperature adjustment time C5 are preset, and C1 is smaller than C2, smaller than C3, smaller than C4 and smaller than C5; the correction coefficient is yi, i=1, 2, 3, 4, 5, a first correction coefficient y1, a second correction coefficient y2, a third correction coefficient y3, a fourth correction coefficient y4 and a fifth correction coefficient y5 are preset, and 0.9 is smaller than y1, smaller than y2, smaller than y3, smaller than y4, smaller than y5 and smaller than 1.1;

[0028] Determine a correction coefficient according to the relationship between the temperature adjustment time C and each preset temperature adjustment time;

[0029] .

[0030] On the other hand, the present invention also proposes a radiator thermostatic valve, the device includes a shell, a temperature control mechanism and a driving member, the temperature control mechanism and the driving member are arranged in the shell, a connecting port is provided under the shell, the shell is connected to the valve through the connecting port, the temperature control mechanism is electrically connected to the driving member, the driving member is connected to the valve, and the driving member adjusts the valve opening under the control of the temperature control mechanism.

[0031] Optionally, the temperature control mechanism includes a collection component and a control component, the collection component is configured to collect the ambient temperature and record the temperature adjustment time, and the control component is configured to calculate the valve opening and control the driving component to adjust the valve opening;

[0032] The driving component includes a battery and a driving motor, the battery and the driving motor are electrically connected, the driving motor is connected to the valve, and the driving motor is configured to adjust the valve opening under the control of the control component.

[0033] Optionally, a display panel is further provided on the outside of the shell, and the display panel is electrically connected to the control component.

[0034] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention proposes a radiator thermostatic valve and a data processing method thereof, which realizes automatic adjustment of the radiator thermostatic valve through data acquisition, processing and feedback adjustment, and can automatically adjust the valve opening according to the change of ambient temperature, keep the indoor temperature constant, and improve the living comfort. By eliminating abnormal values ​​and reducing data volatility, the accuracy of temperature data is improved, the adjustment of valve opening is more accurate, and it helps to reduce energy waste. The fuzzy logic control algorithm is adopted, which can better adapt to the nonlinear change of ambient temperature, make temperature control smoother, and avoid the frequent oscillation problem in traditional control methods. The valve opening is determined by defuzzification by the center of gravity method, so that the output signal is clearer and the control effect is improved. According to the deviation between the actual temperature and the target temperature, the valve opening is calculated and corrected in real time, so that the temperature control is more stable. By recording the temperature adjustment time and comparing it with the preset temperature adjustment time, the valve opening is corrected, which further optimizes the temperature adjustment effect and improves the system response speed. The radiator thermostatic valve device has a simple structure, is easy to install, and is easy to maintain. A display panel is arranged on the outside of the shell, which is convenient for users to view and adjust the temperature setting in real time, thereby improving the user experience. Through precise temperature control and automatic adjustment, energy consumption is reduced, which helps to save energy and reduce emissions, and is in line with the concept of green environmental protection. By eliminating outliers and reducing volatility in ambient temperature data, the interference of noise on the system is reduced, making temperature control more stable and accurate, and being able to better maintain the constant indoor temperature. The adjustment method based on fuzzy control can respond more sensitively to changes in ambient temperature through a combined analysis of temperature difference and temperature change trend, thereby improving the response speed of the system. By comparing the temperature adjustment time with the preset temperature adjustment time, the valve opening is dynamically corrected, effectively avoiding over-adjustment, optimizing energy efficiency, reducing energy waste, and improving the overall energy-saving effect. Moreover, the method integrates multi-level processing of ambient temperature data and fuzzy control algorithms, realizes intelligent adjustment under complex environmental conditions, can better adapt to the needs of modern smart homes, and provide users with a more comfortable and energy-saving living environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0036] Figure 1 A flow chart of a radiator thermostatic valve data processing method provided by an embodiment of the present invention;

[0037] Figure 2 An overall schematic diagram of a radiator thermostatic valve provided by an embodiment of the present invention;

[0038] Figure 3 For along Figure 2 Cross-sectional view of the radiator thermostatic valve taken along line AA'.

[0039] In the figure, 100 is a housing; 110 is a display panel; 210 is a driving motor; 220 is a battery; 310 is a collection component; and 320 is a control component. DETAILED DESCRIPTION

[0040] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0041] As one of the key components in the HVAC system, the radiator thermostatic valve is mainly used to adjust the flow of hot water through the radiator, thereby controlling the indoor temperature. Traditional thermostatic valves mainly rely on mechanical structures for temperature regulation. Although the structure is simple and the cost is low, the accuracy is low and the response speed is slow. It is difficult to adapt to the higher requirements of temperature control accuracy and efficiency in modern smart homes.

[0042] With the development of intelligent control technology, more and more thermostatic valves are beginning to adopt electronic control, which can achieve more accurate temperature control and can automatically adjust the valve opening according to real-time changes in the environment. However, existing electronic thermostatic valves still face some problems in practical applications: for example, the signal of the temperature sensor is easily interfered by the outside world, resulting in volatility and abnormal values ​​in the collected data, which will directly affect the adjustment accuracy of the valve opening; in addition, the existing thermostatic valves mostly use simple linear control algorithms, which fail to fully consider the trend of temperature changes and historical data, resulting in unsatisfactory control effects and unstable temperature regulation.

[0043] In view of the above problems, a new data processing method for radiator thermostatic valve is proposed to improve the control accuracy and response speed of the thermostatic valve and provide users with a more comfortable indoor environment.

[0044] like Figure 1 As shown, an embodiment of the present invention provides a radiator thermostatic valve data processing method, comprising:

[0045] Data collection, collecting ambient temperature data, and the ambient temperature data is used as an input signal of the control center;

[0046] The control center processes the collected ambient temperature data, calculates the processed ambient temperature data and a preset target temperature value, and controls the driving component of the radiator thermostatic valve to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data;

[0047] Feedback regulation, recording the results of the adjustment, calculating the deviation between the actual temperature and the target temperature value in real time, and correcting the valve opening during the second temperature adjustment according to the calculation result.

[0048] It can be understood that the first step of this method is to collect ambient temperature data in order to obtain the actual temperature information of the current environment. Ambient temperature data is collected through devices such as temperature sensors. These data will be used as input signals for subsequent control processes, that is, as the basis for the decision of the control center; after the control center receives the collected ambient temperature data, it first processes the data. This may include filtering, denoising, outlier detection, etc. to ensure the accuracy and reliability of the data. The processed data is compared with the preset target temperature value. The preset target temperature value here is the expected indoor temperature set by the user. According to the difference between the ambient temperature and the target temperature (i.e., the temperature difference) and the temperature change trend, the control center will decide how to adjust the valve opening. This usually involves certain algorithms or logical judgments, such as PID control, fuzzy logic control, etc. The adjustment results of the valve opening are recorded for subsequent analysis and adjustment. The deviation between the actual temperature and the target temperature is calculated in real time to evaluate the control effect. According to the calculated deviation, the valve opening is corrected for the next temperature adjustment. This correction can be based on a certain algorithm, the purpose of which is to make the actual temperature closer to the target temperature, improve the accuracy of temperature control and the stability of the system.

[0049] It can be seen that this process is a closed-loop control system, which maintains a constant indoor temperature by continuously collecting data, processing data, comparing decisions, executing adjustments and feedback corrections.

[0050] In this preferred embodiment, the data processing includes eliminating outliers and reducing the volatility of the data.

[0051] It can be understood that, in this preferred embodiment, the specific content of data processing can be understood as follows:

[0052] Eliminate outliers: During the data collection process, outliers may appear in the collected data due to sensor failure, environmental interference or other reasons. If these outliers are not excluded, they may have a negative impact on the accuracy and reliability of temperature control. By statistically analyzing the collected ambient temperature data, identify those values ​​that are obviously inconsistent with the normal data distribution. These values ​​may be extremely large or extremely small values, or points that do not match the trend of the previous and subsequent data changes. After excluding these outliers, it can be ensured that the data used for control decisions are more real and effective, thereby improving the performance and stability of the entire thermostatic valve system. Reduce data volatility: Ambient temperature data may fluctuate due to various factors (such as the activities of people in the room, changes in the external climate, etc.). Excessive volatility will affect the smoothness and accuracy of temperature control. Use filtering algorithms (such as moving average filtering, low-pass filtering, etc.) to smooth the data to reduce random fluctuations in the short term. Reducing data volatility helps reduce malfunctions and unnecessary frequent adjustments of the control system, making the adjustment of valve opening more stable, thereby improving the comfort and energy efficiency of indoor temperature control. In this way, by eliminating abnormal values ​​and reducing data volatility, this preferred embodiment improves the accuracy and stability of data processing, thereby enabling the radiator thermostatic valve to control the indoor temperature more accurately and effectively.

[0053] Other methods can also be used to process data, such as data acquisition and initial preprocessing: Get raw measurement data from sensors or other data acquisition devices. This data may contain noise, mutation values ​​or other interference factors, and direct use may affect the control accuracy of the system. Perform a preliminary check on the raw data to identify and remove obvious outliers or invalid data. This step ensures that subsequent processing is based on valid data. Filtering: Use filtering algorithms (such as low-pass filtering, high-pass filtering, band-pass filtering, etc.) to smooth the data and reduce the impact of high-frequency noise. The parameter selection of the filter is based on the target application scenario to ensure that the filtered data retains useful information and removes noise to the maximum extent. Data smoothing: Use smoothing algorithms such as moving average or weighted average to further reduce the volatility of the data. Smoothing can eliminate short-term fluctuations or spikes, making the data curve smoother and more stable, which is conducive to the subsequent control algorithm to identify and respond to trends. Data standardization and normalization: Standardize the data according to certain rules so that data of different dimensions can be compared or calculated on a unified scale. Normalization maps the data to a fixed range (such as between 0 and 1), improving the efficiency of data processing and the convergence of the algorithm. Anomaly detection and processing: Use preset rules or statistical methods to identify possible anomalies in the data, such as sudden changes, drastic jumps, or values ​​beyond the expected range. For detected abnormal values, they can be processed by elimination, replacement, or correction to ensure the continuity and validity of the data. Data fusion and comprehensive processing: In a multi-sensor system or multi-data source environment, the measurement data from different sensors or data sources are fused. Multi-source data is integrated through weighted averaging, Bayesian estimation, or Kalman filtering to obtain more accurate and reliable results. Feature extraction and dimensionality reduction: Extract key features or variables from the processed data for further control or analysis. Dimensionality reduction processing uses techniques such as principal component analysis (PCA) or linear discriminant analysis (LDA) to reduce data dimensions to simplify subsequent calculations and improve processing efficiency; Data storage and recording: Store the processed data in a specified storage medium to ensure data integrity and traceability. The format and structure of data storage should meet the needs of subsequent analysis, control, or diagnosis.

[0054] Through the above data processing steps, the quality and reliability of the data can be significantly improved, providing a solid foundation for subsequent control, analysis or decision-making.

[0055] The processed ambient temperature data is calculated with a preset target temperature value, and a driving component of the radiator thermostatic valve is controlled to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data, including:

[0056] The fuzzy set NL of the preset temperature difference E E NSE , Z E ,PS E , PL E ;

[0057] Fuzzy set NL of preset temperature change trend iE iE NS i E. Z iE ,PS iE , PL iE ;

[0058] The fuzzy set NL of the preset valve opening C C NS C , Z C ,PS C , PL C ;

[0059] The heating power C is determined by the temperature difference E and the temperature change trend iE; the temperature change trend is the difference between the ambient temperature of the previous minute and the current ambient temperature;

[0060] Setting NL E -10~-5℃, NS E -7.5~-2.5℃, Z E -2.5~2.5℃, PS E 2.5~7.5℃, PL E 5~10℃;

[0061] Setting NL iE -2~-1.5℃, NS iE -1.75~-1.25℃, Z iE -1.25~1.25℃, PS iE 1.25~1.75℃, PL iE 1.5~2℃;

[0062] Setting NL C 0~25%, NS C 15~40%, Z C 35~65%, PS C 60~85%, PL C It is 75~100%.

[0063] The processed ambient temperature data is calculated with a preset target temperature value, and a driving component of the radiator thermostatic valve is controlled to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data, and further includes: determining the valve opening C by defuzzification using a centroid method;

[0064] Since fuzzy control does not rely on precise mathematical models, it can adapt well to the nonlinearity, time-varying and uncertainty of ambient temperature, making temperature control more flexible and effective. Since the design of fuzzy control system takes into account the uncertainty of input variables, the system can still maintain good control performance even if there are model errors or external interference in practical applications. Fuzzy control does not require complex mathematical modeling process. It designs control strategies through expert experience or heuristic rules, which greatly simplifies the complexity of system design. Compared with traditional PID control, the parameter adjustment of fuzzy control system is more intuitive and simple. Usually, only a small number of fuzzy rules and membership functions need to be adjusted to achieve satisfactory control effect. Fuzzy control can effectively reduce the frequent switching of control actions, avoid the oscillation phenomenon that may occur in traditional control methods, make the adjustment of valve opening smoother, and improve the comfort of indoor temperature. Fuzzy control rules are usually expressed in natural language, such as "if the temperature is high, reduce the valve opening", which makes the system behavior easier for non-professionals to understand and accept, and also facilitates system maintenance and troubleshooting. By accurately adjusting the valve opening, fuzzy control can more effectively maintain indoor temperature, reduce energy waste, and achieve energy conservation and emission reduction. The fuzzy control system responds quickly to temperature changes and can adjust the valve opening in time to quickly reach the target temperature, thus improving the dynamic performance of the system.

[0065] The centroid defuzzification method includes: each fuzzy set Ai corresponds to a membership function ųAi(x), where x represents the specific value of the output variable, and ųAi(x) represents the membership of x on the set Ai, and the set Ai includes the fuzzy set NL of the temperature difference E E NS E , Z E ,PS E , PL E and the fuzzy set NL of temperature change trend iE iE NS iE , Z iE ,PS iE , PL iE and the fuzzy set NL of valve opening C C NS C , Z C ,PS C , PL C ;

[0066] The centroid of the membership function of all fuzzy output sets is calculated to obtain the final output value. The formula for calculating the centroid Yc is:

[0067] ;

[0068] Where x is the value of the output variable, is the membership degree of the fuzzy set Ai at x, and n is the total number of fuzzy sets involved in defuzzification.

[0069] Optionally, the center of gravity Yc is used as an output signal of the valve opening C to control a specific value of the valve opening.

[0070] Thus, according to the above fuzzy set, a fuzzy rule table can be set, and the fuzzy rule table is shown in Table 1:

[0071] Table 1 Fuzzy rule table

[0072]

[0073] The fuzzy rule table can be divided into multiple modules, each module handles a specific control situation, which is easy to manage and maintain. For example, a separate set of rules can be designed to handle situations when the temperature difference is large. Fuzzy rules are able to handle uncertainty and ambiguity in the input data. For example, when the temperature difference is close to zero or the temperature change trend is small, the system can still give a reasonable control output. This ability allows the system to provide smooth control output under different input conditions by using multiple fuzzy sets and rules, avoiding sudden or discontinuous outputs, which is critical to maintaining the stability of the system. As control requirements change, fuzzy rules can be easily added, deleted, or modified without completely rewriting the control algorithm. This makes the fuzzy logic controller highly flexible and adaptable when faced with new operating conditions or goals.

[0074] It can be understood that the temperature difference E = 3 ° C, the corresponding membership is:

[0075] For Z, the membership is 0.5.

[0076] For PS, the membership is 0.5.

[0077] The membership degree corresponding to the temperature change trend iE=−1℃ is:

[0078] For NS, the membership is 0.2.

[0079] For Z, the membership is 0.8.

[0080] After fuzzy reasoning, the final fuzzy control output is Z, and the membership of this result is mainly based on the reasoning result of the rule table.

[0081] Assuming that the fuzzy control output is Z and its membership is a high value, we consider the range of Z fuzzy sets (35% to 65%) and calculate the central value of the membership function.

[0082] For the Z fuzzy set (35% to 65%), its center value can be simply calculated as:

[0083] Center value of Z = (35% + 65%) / 2 = 50%

[0084] Therefore, the control output value after defuzzification is 50%, which means that the controller will set the valve to open 50%.

[0085] It is understandable that fuzzy logic controllers can handle multiple-input multiple-output (MIMO) systems by simply expanding the fuzzy rule table appropriately. For example, in complex environmental control systems, multiple sensors and actuators may be involved, and fuzzy rules can be easily expanded to cover these requirements. Fuzzy logic controllers are insensitive to noise in the input data and perform well in nonlinear systems. For example, when sensor data fluctuates or is noisy, fuzzy rules can effectively filter these anomalies and provide stable control outputs. Since the fuzzy rule table usually covers most of the possible input conditions, even if individual sensors or input data are abnormal, the system can still provide reasonable control measures through other rules, increasing the fault tolerance of the system. Fuzzy logic controllers usually have low computational complexity, especially systems based on simple rule tables and triangular membership functions. Therefore, they can operate efficiently in real-time control systems, such as industrial automation systems and consumer electronic devices. Due to the low computational requirements of fuzzy logic controllers, they are suitable for running in resource-limited embedded systems or real-time operating systems, reducing hardware and development costs. Combination with traditional control methods: Fuzzy logic controllers can be combined with other control methods (such as PID control) to enhance the control performance of the system. For example, in a temperature control system, fuzzy logic can be used for preliminary adjustments, and then combined with PID control for fine-tuning. Because the mathematical basis of fuzzy rules is relatively simple and universal, the controller can be easily ported to different hardware platforms or operating systems, improving development efficiency and system portability.

[0086] In this preferred embodiment, the calculated center of gravity Yc is used as the output signal of the valve opening C to control the specific value of the valve opening.

[0087] It is understood that the calculated centroid value Yc is used as the output signal of the valve opening C to control the specific opening of the valve. It is understood that this means that in the control system, by calculating the centroid of the membership function of the fuzzy set, a value Yc is obtained, which represents the optimal valve opening after fuzzy logic processing. This output signal Yc is directly used to adjust the valve opening to achieve precise control of the ambient temperature.

[0088] In simple terms, the calculated center of gravity value Yc is actually the valve opening size recommended by the system, which is based on the difference between the current ambient temperature and the target temperature and the temperature change trend. This value will be directly used to adjust the valve opening, thereby affecting the water flow through the radiator, and ultimately achieving the purpose of adjusting the indoor temperature.

[0089] In this preferred embodiment, the determining the relationship between the temperature control time and the preset temperature control time and correcting the valve opening during the second temperature control specifically includes recording the temperature control time actually required to adjust to the target temperature, determining the relationship between the temperature control time and the preset temperature control time, and correcting the valve opening during the second temperature control.

[0090] It can be understood that the key to this step is to correct the valve opening during the second temperature adjustment by comparing the actual temperature adjustment time with the preset temperature adjustment time, including recording the actual temperature adjustment time: During the first temperature adjustment, the system will record the actual time taken to adjust from the initial temperature to the target temperature. This period of time is called the actual temperature adjustment time. Comparing the actual temperature adjustment time with the preset temperature adjustment time: The system will compare this actual temperature adjustment time with the preset temperature adjustment time. The preset temperature adjustment time is the ideal time or expected time set inside the system. Correcting the valve opening during the second temperature adjustment: Based on the comparison result of the actual temperature adjustment time with the preset temperature adjustment time, the system will correct the valve opening during the second temperature adjustment. If the actual temperature adjustment time is longer or shorter than the preset time, the system will adjust the valve opening accordingly so that the target temperature can be reached faster or more robustly during the next temperature adjustment process. The system optimizes the control strategy during the second temperature adjustment by recording and analyzing the performance of the first temperature adjustment, with the aim of improving the efficiency and accuracy of the temperature adjustment.

[0091] In this preferred embodiment, the deviation between the actual temperature and the target temperature value is calculated in real time, and the valve opening during the second temperature adjustment is corrected according to the calculation result, which specifically includes: recording the temperature adjustment time actually required to adjust to the target temperature, judging the relationship between the temperature adjustment time and the preset temperature adjustment time, and correcting the valve opening during the second temperature adjustment.

[0092] Optionally, the determining the relationship between the temperature adjustment time and the preset temperature adjustment time and correcting the valve opening during the second temperature adjustment specifically includes:

[0093] Preset the first temperature adjustment time C1, the second temperature adjustment time C2, the third temperature adjustment time C3, the fourth temperature adjustment time C4, and the fifth temperature adjustment time C5, and C1 < C2 < C3 < C4 < C5; the correction coefficient is yi, i = 1, 2, 3, 4, 5, and preset the first correction coefficient y1, the second correction coefficient y2, the third correction coefficient y3, the fourth correction coefficient y4, and the fifth correction coefficient y5, and 0.9 < y1 < y2 < y3 < y4 < y5 < 1.1;

[0094] Determine the correction coefficient according to the magnitude relationship between the temperature adjustment time C and each preset temperature adjustment time;

[0095]

[0096] It can be understood that this embodiment describes how to correct the valve opening according to the relationship between the actual temperature adjustment time and the preset temperature adjustment time. The specific steps are as follows: Preset temperature adjustment time and correction coefficient: The system presets five different temperature adjustment times C1, C2, C3, C4, C5, and these times increase gradually, that is, C1 < C2 < C3 < C4 < C5. At the same time, the system presets five corresponding correction coefficients y1, y2, y3, y4, y5. These coefficients are between 0.9 and 1.1, and y1 < y2 < y3 < y4 < y5. These correction coefficients are used to adjust the valve opening to ensure a more accurate temperature adjustment process. Determine the correction coefficient according to the actual temperature adjustment time. First, the system records the actual temperature adjustment time C0. Then, according to the magnitude relationship between C0 and the preset temperature adjustment times C1 to C5, the system determines a corresponding correction coefficient. Apply the correction coefficient to adjust the valve opening: If C0 is less than or equal to C1, the correction coefficient is the first-level correction coefficient y1, and the valve opening at this time is C * y1; if C1 < C0 ≤ C2, the correction coefficient is the second-level correction coefficient y2, and the valve opening at this time is C * y2. If C2 < C0 ≤ C3, the correction coefficient is the third-level correction coefficient y3, and the valve opening at this time is C * y3. If C3 < C0 ≤ C4, the correction coefficient is the fourth-level correction coefficient y4, and the valve opening at this time is C * y4. If C4 < C0 ≤ C5, the correction coefficient is the fifth-level correction coefficient y5, and the valve opening at this time is C * y5. The core idea of this process is to fine-tune the valve opening using the corresponding correction coefficient by comparing the magnitude relationship between the actual temperature adjustment time and the preset temperature adjustment time, so as to optimize the temperature adjustment process. This method can make the system respond more accurately to the actual situation, avoid over-adjustment or under-adjustment, and thus improve the control effect and energy utilization efficiency of the system.

[0097] In summary, the present invention proposes a radiator thermostatic valve and a data processing method thereof. The method realizes automatic adjustment of the radiator thermostatic valve through data acquisition, processing and feedback adjustment, and can automatically adjust the valve opening according to the change of ambient temperature, keep the indoor temperature constant, and improve the living comfort. By eliminating abnormal values ​​and reducing data volatility, the accuracy of temperature data is improved, the adjustment of valve opening is more accurate, and it helps to reduce energy waste. The fuzzy logic control algorithm is adopted, which can better adapt to the nonlinear change of ambient temperature, make temperature control smoother, and avoid the frequent oscillation problem in traditional control methods. The valve opening is determined by defuzzification by the center of gravity method, so that the output signal is clearer and the control effect is improved. According to the deviation between the actual temperature and the target temperature, the valve opening is calculated and corrected in real time, so that the temperature control is more stable. By recording the temperature adjustment time and comparing it with the preset temperature adjustment time, the valve opening is corrected, which further optimizes the temperature adjustment effect and improves the system response speed. The radiator thermostatic valve device has a simple structure, is easy to install, and is easy to maintain. A display panel is set on the outside of the shell to facilitate users to view and adjust the temperature settings in real time, thereby improving the user experience. Through precise temperature control and automatic adjustment, energy consumption is reduced, which helps to save energy and reduce emissions, and is in line with the concept of green environmental protection. By eliminating outliers and reducing volatility in ambient temperature data, the interference of noise on the system is reduced, making temperature control more stable and accurate, and being able to better maintain the constant indoor temperature. The adjustment method based on fuzzy control can respond more sensitively to changes in ambient temperature through a combined analysis of temperature difference and temperature change trend, thereby improving the response speed of the system. By comparing the temperature adjustment time with the preset temperature adjustment time, the valve opening is dynamically corrected, effectively avoiding over-adjustment, optimizing energy efficiency, reducing energy waste, and improving the overall energy-saving effect. Moreover, the method integrates multi-level processing of ambient temperature data and fuzzy control algorithms, realizes intelligent adjustment under complex environmental conditions, can better adapt to the needs of modern smart homes, and provide users with a more comfortable and energy-saving living environment.

[0098] On the other hand, as shown in Figures 2-3, the present invention also proposes a radiator thermostatic valve, the device includes a shell 100, a temperature control mechanism and a driving member, the temperature control mechanism and the driving member are arranged in the shell 100, a connecting port is provided below the shell 100, the shell 100 is connected to the valve through the connecting port, the temperature control mechanism is electrically connected to the driving member, the driving member is connected to the valve, and the driving member adjusts the valve opening under the control of the temperature control mechanism.

[0099] It is understandable that the housing 100 is the external structure of the radiator thermostatic valve, providing protection and support for the entire device. The housing 100 is located above the temperature control mechanism and the driving member, and plays the role of encapsulating and fixing the internal components.

[0100] The temperature control mechanism includes a collection component 310 and a control component 320. The collection component 310 is responsible for collecting ambient temperature data and recording the temperature adjustment time, while the control component 320 is responsible for processing the collected data, calculating the valve opening, and issuing control instructions. The temperature control mechanism is the core part of the radiator thermostatic valve. It determines the valve opening according to the collected ambient temperature data and the control algorithm to maintain the set target temperature. The drive component includes a battery 220 and a drive motor 210. The battery 220 provides power for the entire device, and the drive motor 210 is responsible for executing the instructions issued by the control component 320 to adjust the valve opening. Under the control of the temperature control mechanism, the drive component physically adjusts the valve opening by rotating the motor, thereby controlling the water flow of the radiator and adjusting the indoor temperature. The connection port is located below the housing 100 and is used to connect the radiator thermostatic valve to the valve of the radiator system. Through the connection port, the radiator thermostatic valve can be connected to the water flow pipeline in the radiator system to achieve control of the water flow. The temperature control mechanism and the drive are electrically connected so that the control signal can be transmitted from the temperature control mechanism to the drive. The temperature control mechanism controls the motor in the drive through electrical signals based on the processed ambient temperature data to adjust the opening of the valve and realize automatic regulation of the indoor temperature.

[0101] It can be seen that the radiator thermostatic valve of the present invention forms an intelligent system capable of automatically adjusting the indoor temperature through the temperature control mechanism and the driving member in the housing 100 and the connection port connected to the valve. The system collects ambient temperature data, processes the data, and automatically adjusts the valve opening according to the processing results to keep the indoor temperature constant.

[0102] In this preferred embodiment, the temperature control mechanism includes a collection component 310 and a control component 320, wherein the collection component 310 is configured to collect the ambient temperature and record the temperature adjustment time, and the control component 320 is configured to calculate the valve opening and control the driving component to adjust the valve opening;

[0103] The driving component includes a battery 220 and a driving motor 210 , the battery 220 and the driving motor 210 are electrically connected, the driving motor 210 is connected to the valve, and the driving motor 210 is configured to adjust the valve opening under the control of the control component 320 .

[0104] It can be understood that the acquisition component 310 is a part of the temperature control mechanism, which is responsible for real-time monitoring and acquisition of ambient temperature data, and records the time required from the start of temperature adjustment to reaching the target temperature, that is, the temperature adjustment time. The control component 320 is another part of the temperature control mechanism. Its function is to calculate the opening that the valve should reach through a preset control algorithm based on the ambient temperature data and temperature adjustment time provided by the acquisition component 310, and output a corresponding control signal. The acquisition component 310 can sense the current ambient temperature through devices such as temperature sensors, and transmit these data to the control component 320. The acquisition component 310 is also responsible for recording the length of time of each temperature adjustment operation, which is necessary for subsequent adjustment of the valve opening to optimize the temperature control effect. The control component 320 calculates the optimal valve opening based on the difference between the ambient temperature and the target temperature, as well as the temperature change trend. The control component 320 sends instructions to the drive component to tell the drive motor 210 how to adjust the valve opening. The battery 220 provides power for the entire radiator thermostatic valve to ensure that the drive motor 210 and other electronic components can work properly. The drive motor 210 is the core part of the drive component. It receives the control signal from the control component 320 and adjusts the opening of the valve through mechanical movement. The battery 220 and the drive motor 210 are connected by a circuit to ensure that the motor can receive power and perform operations. The drive motor 210 is directly connected to the valve mechanically so that it can physically adjust the opening of the valve. Under the control of the control component 320, the drive motor 210 accurately adjusts the opening of the valve through rotation or linear movement according to the calculated optimal opening value to achieve the purpose of controlling the indoor temperature.

[0105] It can be seen that the radiator thermostatic valve in the present invention collects the ambient temperature and the temperature adjustment time, and the control unit 320 calculates and issues instructions, and the driving motor 210 adjusts the valve opening according to the instructions, thereby realizing intelligent temperature control. Such a design improves the automation of the system and the accuracy of temperature control.

[0106] In this preferred embodiment, a display panel 110 is further disposed on the outer side of the housing 100 , and the display panel 110 is electrically connected to the control component 320 .

[0107] It is understood that the display panel 110 is located outside the housing 100, which means that the user can directly access and view the display panel 110 from the outside of the radiator thermostatic valve. The display panel 110 is used to display relevant information, such as the current ambient temperature, the set target temperature, the percentage of the valve opening, the system status, etc. This provides the user with intuitive system operation feedback. The display panel 110 is connected to the control component 320 through a circuit, so that the control component 320 can send the processed data or system status information to the display panel 110 for display. This electrical connection ensures that the display panel 110 can update and accurately reflect the working status of the radiator thermostatic valve in real time, so that the user can immediately understand and adjust the system settings. The user can obtain the working status of the radiator thermostatic valve by observing the display panel 110 without the help of other tools or equipment. In some designs, the display panel 110 may also have a touch function or button, allowing the user to operate directly on the panel, such as setting the target temperature, adjusting the temperature control mode, etc. The information on the display panel 110 can help the user monitor the operation of the system and find out any abnormalities in time. During maintenance or troubleshooting, the data on the display panel 110 can provide technicians with diagnostic information to help them locate the problem more quickly.

[0108] It can be seen that the display panel 110 disposed outside the housing 100 enhances the user-friendliness and interactivity of the radiator thermostatic valve, allowing the user to monitor and operate the device more conveniently, while also providing convenience for system maintenance.

[0109] In summary, the present invention proposes a radiator thermostatic valve and a data processing method thereof. The method realizes automatic adjustment of the radiator thermostatic valve through data acquisition, processing and feedback adjustment, and can automatically adjust the valve opening according to the change of ambient temperature, keep the indoor temperature constant, and improve the living comfort. By eliminating abnormal values ​​and reducing data volatility, the accuracy of temperature data is improved, the adjustment of valve opening is more accurate, and it helps to reduce energy waste. The fuzzy logic control algorithm is adopted, which can better adapt to the nonlinear change of ambient temperature, make temperature control smoother, and avoid the frequent oscillation problem in traditional control methods. The valve opening is determined by defuzzification by the center of gravity method, so that the output signal is clearer and the control effect is improved. According to the deviation between the actual temperature and the target temperature, the valve opening is calculated and corrected in real time, so that the temperature control is more stable. By recording the temperature adjustment time and comparing it with the preset temperature adjustment time, the valve opening is corrected, which further optimizes the temperature adjustment effect and improves the system response speed. The radiator thermostatic valve device has a simple structure, is easy to install, and is easy to maintain. A display panel is set on the outside of the shell to facilitate users to view and adjust the temperature settings in real time, thereby improving the user experience. Through precise temperature control and automatic adjustment, energy consumption is reduced, which helps to save energy and reduce emissions, and is in line with the concept of green environmental protection. By eliminating outliers and reducing volatility in ambient temperature data, the interference of noise on the system is reduced, making temperature control more stable and accurate, and being able to better maintain the constant indoor temperature. The adjustment method based on fuzzy control can respond more sensitively to changes in ambient temperature through a combined analysis of temperature difference and temperature change trend, thereby improving the response speed of the system. By comparing the temperature adjustment time with the preset temperature adjustment time, the valve opening is dynamically corrected, effectively avoiding over-adjustment, optimizing energy efficiency, reducing energy waste, and improving the overall energy-saving effect. Moreover, the method integrates multi-level processing of ambient temperature data and fuzzy control algorithms, realizes intelligent adjustment under complex environmental conditions, can better adapt to the needs of modern smart homes, and provide users with a more comfortable and energy-saving living environment.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

[0111] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0112] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, 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 instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0113] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0114] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A radiator thermostatic valve data processing method, characterized in that: include: Data collection, collecting ambient temperature data, and the ambient temperature data is used as an input signal of the control center; The control center processes the collected ambient temperature data, calculates the processed ambient temperature data and a preset target temperature value, and controls the driving component of the radiator thermostatic valve to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data; Feedback regulation, recording the adjustment results, calculating the deviation between the actual temperature and the target temperature value in real time, and correcting the valve opening during the second temperature adjustment according to the calculation result; wherein the data processing includes excluding abnormal values ​​and reducing the volatility of the data; the processed ambient temperature data is calculated with the preset target temperature value, and the driving part of the radiator thermostatic valve is controlled to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data, including: The fuzzy set NL of the preset temperature difference E E NS E , Z E ,PS E , PL E ; Fuzzy set NL of preset temperature change trend iE iE NS iE , Z iE ,PS iE , PL iE ; The fuzzy set NL of the preset valve opening C C NS C , Z C ,PS C , PL C ; The heating power C is determined by the temperature difference E and the temperature change trend iE; the temperature change trend is the difference between the ambient temperature of the previous minute and the current ambient temperature; Setting NL E -10~-5°C, NS E -7.5~-2.5°C, Z E -2.5~2.5°C, PS E 2.5~7.5°C, PL E 5~10°C; Setting NL iE -2~-1.5°C, NS iE -1.75~-1.25°C, Z iE -1.25~1.25°C, PS iE 1.25~1.75°C, PL iE 1.5~2°C; Setting NL C 0~25%, NS C 15~40%, Z C 35~65%, PS C 60~85%, PL C 75~100%; The processed ambient temperature data is calculated with a preset target temperature value, and a driving component of the radiator thermostatic valve is controlled to adjust the valve opening according to the difference between the ambient temperature data and the target temperature value and the change trend of the ambient temperature data, and further includes: determining the valve opening C by defuzzification using a centroid method; The centroid defuzzification method includes: each fuzzy set Ai corresponds to a membership function ųAi (x), and the set Ai includes the fuzzy set NL of the temperature difference E E NS E , Z E ,PS E , PL E and the fuzzy set NL of temperature change trend iE iE NS iE , Z iE ,PS iE , PL iE and the fuzzy set NL of valve opening C C NS C , Z C ,PS C , PL C ; The centroid of the membership function of all fuzzy output sets is calculated to obtain the final output value. The formula for calculating the centroid Yc is: ； Among them, x is the value of the output variable, uAi(x) is the membership degree of the fuzzy set Ai at x, and n is the total number of fuzzy sets involved in defuzzification; The real-time calculation of the deviation between the actual temperature and the target temperature value and the correction of the valve opening during the second temperature adjustment according to the calculation result specifically include: recording the temperature adjustment time actually required to adjust to the target temperature, judging the relationship between the temperature adjustment time and the preset temperature adjustment time, and correcting the valve opening during the second temperature adjustment; When judging the relationship between the temperature adjustment time and the preset temperature adjustment time, and correcting the valve opening during the second temperature adjustment, the first temperature adjustment time C1, the second temperature adjustment time C2, the third temperature adjustment time C3, the fourth temperature adjustment time C4 and the fifth temperature adjustment time C5 are preset, and C1<C2<C3<C4<C5; the correction coefficient is yi, i=1, 2, 3, 4, 5, the first correction coefficient y1, the second correction coefficient y2, the third correction coefficient y3, the fourth correction coefficient y4 and the fifth correction coefficient y5 are preset, and 0.9<y1<y2<y3<y4<y5 is less than 1.1; the correction coefficient is determined according to the relationship between the temperature adjustment time C and each preset temperature adjustment time; 。 2. A radiator thermostatic valve data processing method according to claim 1, characterized in that: The center of gravity Yc is used as an output signal of the valve opening C to control the specific value of the valve opening.

3. A radiator thermostatic valve, applied to a radiator thermostatic valve data processing method according to claim 1 or 2, characterized in that: It includes a shell, a temperature control mechanism and a driving member, wherein the temperature control mechanism and the driving member are arranged in the shell, a connecting port is arranged below the shell, the shell is connected to the valve through the connecting port, the temperature control mechanism is electrically connected to the driving member, the driving member is connected to the valve, and the driving member adjusts the valve opening under the control of the temperature control mechanism.

4. A radiator thermostatic valve according to claim 3, characterized in that: The temperature control mechanism includes a collecting component and a control component, the collecting component is configured to collect ambient temperature and record temperature adjustment time, the control component is configured to calculate the valve opening and control the driving component to adjust the valve opening; the driving component includes a battery and a driving motor, the battery and the driving motor are electrically connected, the driving motor is connected to the valve, and the driving motor is configured to adjust the valve opening under the control of the control component.

5. A radiator thermostatic valve according to claim 4, characterized in that: A display panel is also disposed outside the shell, and the display panel is electrically connected to the control component.

Images