Intelligent power regulation method based on temperature stability and regulation device thereof

Abstract

The application relates to an intelligent power regulation method and device based on temperature stability, wherein the intelligent power regulation method comprises the following steps: collecting temperature data of a device to be monitored at equal intervals in real time, calculating a stable temperature data proportion in a detection period, and if the stable temperature data proportion is less than a preset proportion, performing regression calculation on all power-temperature data in the detection period to obtain a power-temperature function F; obtaining a target temperature value T target constructing an iterative function f; according to the current power P N iterative root seeking is performed on the iterative function f to obtain a target power, and the device output power is adjusted according to the target power; based on the iterative idea of the Newton method, the application realizes fast approximation of the target power in the power regulation process, realizes high-precision control of temperature stability and power output, does not need manual intervention, and improves experimental efficiency and result stability.

Description

Technical Field

[0001] This invention relates to the field of intelligent control, and in particular to an intelligent power regulation method and device based on temperature stability. Background Technology

[0002] In scientific experiments and industrial manufacturing, the temperature control accuracy and power management of experimental setups directly affect the reliability and repeatability of experimental results. Traditional setups often rely on manual adjustment of temperature and power output, which is cumbersome and inefficient, and prone to inaccurate results due to human error. In addition, conventional equipment is prone to overshoot or hysteresis in high-temperature environments, further exacerbating system instability.

[0003] Modern experimental setups are increasingly demanding in terms of automation and precision. Although some intelligent devices have incorporated temperature sensors and power regulation functions, they generally suffer from the following shortcomings: incomplete temperature control stability analysis and slow dynamic adjustment response of power output, making it difficult to meet the needs of high-precision experiments.

[0004] Therefore, there is an urgent need for automated power regulation devices to improve the efficiency, accuracy, and reliability of experimental temperature control. Summary of the Invention

[0005] Based on this, the purpose of this invention is to provide an intelligent power regulation method and device based on temperature stability, which can perform temperature difference analysis and intelligent power regulation according to real-time collected data, improve temperature control accuracy and efficiency, and enhance the safety and stability of system operation during the experiment.

[0006] On one hand, the present invention provides an intelligent power regulation method based on temperature stability, which includes:

[0007] S10: Collect temperature data of the monitored device at equal intervals in real time, and calculate the proportion of stable temperature data within a detection cycle. If the proportion of stable temperature data is less than a preset proportion, then execute step S20. The stable temperature data is the data that satisfies the condition that the temperature difference between two adjacent temperature data is less than a first temperature threshold.

[0008] S20: Perform regression calculations on all power-temperature data within the detection period to obtain the power-temperature function F;

[0009] S30: Based on the power-temperature function F and the target temperature value T target Construct the iterative function f;

[0010] S40: Based on the current power P N The target power is obtained by iteratively finding the root of the iterative function f, and the output power of the device is adjusted according to the target power.

[0011] This invention is based on the mathematical thinking of Newton's method. It constructs a function to determine the power-temperature relationship of the device to be monitored, and then constructs an iterative function based on the target temperature. Finally, it iterates and approximates the true target power value based on the iterative function, which enables the target power for temperature adjustment to be found quickly, thereby achieving accurate temperature control precision and rapid temperature control efficiency, and enhancing the safety and stability of the system operation during the experiment.

[0012] Furthermore, the iterative root-finding formula in step S40 includes:

[0013]

[0014] f(x) = F(x) - T target

[0015] Where P target For the target power, P N Let f' be the derivative of the iterative function, f be the iterative function, and F be the power-temperature function.

[0016] Further, step S40 includes:

[0017] S41: Based on the current power P N By iteratively finding the root of the iterative function f, a target power can be obtained;

[0018] S42: Adjust the input voltage of the monitoring device according to the target power so that the device power reaches the target power;

[0019] S43: Detect the current ambient temperature of the device and calculate the temperature difference between it and the target temperature. If the temperature difference is less than the first temperature threshold, stop the adjustment; otherwise, repeat steps S41-S43.

[0020] Further, step S42 includes:

[0021] S421: Match a power-voltage range based on the target power, and find the device input voltage range corresponding to the output power;

[0022] S422: Adjust the input voltage of the device step by step according to the corresponding device input voltage range until the power of the detected device is consistent with the target power.

[0023] Furthermore, the preset weighting for comparison with the amount of stable temperature data is 90%.

[0024] Furthermore, the following is also performed simultaneously during power regulation:

[0025] The temperature data of the monitored device is collected in real time and compared with a safe temperature threshold range. If the temperature data is not within the safe temperature threshold range, an alarm is issued and the device is stopped from operating.

[0026] On the other hand, the present invention also provides an intelligent power regulation device based on temperature stability, comprising:

[0027] The temperature detection unit is used to collect temperature data of the monitored device at equal intervals in real time and calculate the proportion of stable temperature data within a detection cycle. If the proportion of stable temperature data is less than a preset proportion, step S20 is executed. The stable temperature data is the data that satisfies the temperature difference between two adjacent temperature data being less than a first temperature threshold.

[0028] The power-temperature function fitting unit is used to perform regression calculations on all power-temperature data within the detection period to obtain the power-temperature function F.

[0029] Iterative function building unit: based on the power-temperature function F and the target temperature value T target Construct the iterative function f;

[0030] Power regulation unit: Based on the current power P N The target power is obtained by iteratively finding the root of the iterative function f, and the output power of the device is adjusted according to the target power.

[0031] Furthermore, the power regulation unit includes:

[0032] Target power solution sub-unit: based on the current power P N By iteratively finding the root of the iterative function f, a target power can be obtained;

[0033] Voltage regulation subunit: Adjusts the input voltage of the monitoring equipment according to the target power so that the equipment power reaches the target power;

[0034] Power adjustment determination unit: detects the current ambient temperature of the device and calculates the temperature difference between it and the target temperature. If the temperature difference is less than the first temperature threshold, the adjustment is stopped; otherwise, the above instructions are repeated.

[0035] Furthermore, the intelligent power regulation device also includes...

[0036] The safety protection unit is used to compare the temperature data of the monitored equipment collected in real time with a safe temperature threshold range. If the temperature data is not within the safe temperature threshold range, an alarm is issued and the equipment operation is stopped.

[0037] Compared with the prior art, the present invention has the following advantages:

[0038] (1) This invention achieves high-precision control of temperature stability and power output by combining the sliding window algorithm with the fast convergence optimization algorithm, without the need for manual intervention, thus improving experimental efficiency and result stability.

[0039] (2) The device has flexible parameter adjustment capabilities (such as sliding window time range, data acquisition frequency, power adjustment step size, etc.), adapts to a variety of experimental scenarios, and has a wide range of applications.

[0040] (3) The present invention has a built-in multi-layer safety protection mechanism, which can monitor and respond quickly to abnormal temperature conditions in real time, ensuring the safety of the experimental process and the reliability of equipment operation.

[0041] (4) The present invention has a simple structure and modular design, which facilitates integration and expansion. It is suitable for large-scale industrial applications, and is energy-efficient and economical.

[0042] To better understand and implement this invention, the following detailed description is provided in conjunction with the accompanying drawings. Attached Figure Description

[0043] Figure 1 A flowchart of an intelligent power regulation method based on temperature stability provided by the present invention;

[0044] Figure 2 To execute Figure 1 The structural block diagram of the intelligent power regulation device of the method shown is shown.

[0045] Figure 3 This is a flowchart of step S40, the power adjustment step;

[0046] Figure 4 This is a structural block diagram of an exemplary intelligent power regulation device based on temperature stability according to the present invention. Detailed Implementation

[0047] It should be understood that the described embodiments are merely some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of the embodiments of this application.

[0048] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the embodiments of this application. The singular forms “a,” “the,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0049] It should be understood that the embodiments of this application are not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from their scope. The scope of the embodiments of this application is limited only by the appended claims.

[0050] In a laboratory environment, temperature can be influenced by external temperature control methods, such as air conditioning and fans, through heat transfer. However, this is insufficient for high-precision temperature control. Typically, high-precision temperature control involves adjusting the input voltage of the control device to regulate its power, thereby affecting the temperature. However, this relies on manual observation of temperature sensors, making accurate temperature control difficult. To achieve automated temperature control, this invention attempts to construct a power-temperature function F using historical temperature data and corresponding power data. However, in practice, it was found that the solution to the function is complex and difficult to find directly. Therefore, this invention further investigates and constructs an iterative function f using the power-temperature function F and the target temperature Ttarget. Based on the idea of ​​Newton's method, the constructed function is the root of the iterative function f when it is 0. That is, with F(x) - target = f(x), where x is the power parameter, solving for F(x) - Ttarget = 0, and applying Newton's method iteratively to f, yields the power that makes F(x) = Ttarget.

[0051] Newton's method: A classic iterative method primarily used to solve nonlinear equations. Its basic idea is to linearize the nonlinear problem through Taylor expansion and use the derivative information of the function to gradually approximate the true solution. Newton's method can achieve a convergence order of second, meaning it can approach the true solution much faster in each iteration.

[0052] Specifically, please refer to Figure 1 and Figure 2 , Figure 1 The flowchart of an intelligent power regulation method based on temperature stability provided by the present invention is as follows: Figure 2 To execute Figure 1The diagram illustrates the structural block diagram of the intelligent power regulation device. The device includes: a temperature detection unit 10, a power-temperature function fitting unit 20, an iterative function construction unit 30, and a power regulation unit 40. The temperature detection unit 10 collects and processes the temperature data of the monitored device. The power-temperature function fitting unit 20 constructs a power-temperature function for the current state based on the data collected by the temperature detection unit, enabling the iterative function construction unit 30 to construct an iterative equation based on the power-temperature function. Finally, the power regulation unit adjusts the device power according to the target temperature and the iterative equation, thereby automatically regulating the device temperature. Specifically, the execution flow of each unit of the intelligent power regulation device of this invention is as follows:

[0053] First, the user sets the target temperature value Ttarget through the control interface and starts the intelligent power regulation device. All units are initialized. Then, the temperature detection unit 10 executes step S10: it collects temperature data from the monitored device at equal intervals in real time and calculates the proportion of stable temperature data within a detection cycle. If the proportion of stable temperature data is less than a preset proportion, step S20 is executed. The stable temperature data is defined as the data that satisfies the conditions of two adjacent temperature data points.

[0054] The temperature value Tcurrent of the experimental area is collected in real time using a high-precision sensor and recorded at a set frequency. The default collection frequency is once per second, and the frequency range can be adjusted from 0.1 to 10 times per second as needed. The collected data is stored in a buffer of a sliding window, the size of which can be configured from 30 to 120 seconds. The buffer adopts a first-in, first-out (FIFO) structure to ensure real-time performance and priority for the newest data. The buffer capacity is preferably 60 data points, which can be adjusted from 30 to 120 data points according to application requirements. The time window is set to 60 seconds (adjustable from 30 to 120 seconds). The temperature difference |Ti-Ti-1| between every two adjacent points within the sliding window is calculated, and the number of data points with a temperature difference less than a first temperature threshold ATthreshold is recorded. e .

[0055] (1) If nstable reaches or exceeds the set minimum threshold nmin (e.g., 90% of data points or a fixed value, such as 56), then the temperature is considered to have reached a stable state.

[0056] (2) The range of nmin can be configured from 70% to 100%.

[0057] (3) ΔTthreshold can be set from 0.01℃ to 1℃ according to experimental requirements.

[0058] If a stable state is reached, continue collecting data and repeat the above judgment process. Otherwise, proceed to step S20.

[0059] The power-temperature function fitting unit 20 is used to perform step S20: perform regression calculation on all power-temperature data within the detection period to obtain the power-temperature function F;

[0060] Power output is adjusted by regulating voltage. Therefore, to quickly achieve matching between input voltage and output power, the voltage-power range is pre-divided. First, the range from 0 to the maximum power value is divided into n sub-ranges. The power difference between each sub-range should be as uniform as possible (e.g., divided by equal voltage intervals) to ensure that the power value difference between each range is not too large. This ultimately yields a power-voltage range.

[0061] Based on the collected temperature data and the corresponding power output at each moment, a simple regression method (such as a linear or quadratic function) is used to fit the data. For the fitted function, linear regression or polynomial regression can be used to obtain an approximate relationship between temperature and power, thus obtaining the power-temperature function F.

[0062] Iterative function construction unit 30 is used to execute step S30: based on the power-temperature function F and the target temperature value T target Construct the iterative function f.

[0063] Since Newton's method solves for the roots of a function, it is necessary to keep one side of the function equal to 0. Therefore, a function f needs to be constructed beforehand such that:

[0064] f(x) = F(x) - T target

[0065] Where F is the power-temperature function, T target The target temperature.

[0066] The power adjustment unit 40 is used to execute step S40: based on the current power P N The target power is obtained by iteratively finding the root of the iterative function f, and the output power of the device is adjusted according to the target power.

[0067] Specifically, please refer to Figure 3 Step S40 includes:

[0068] S41: Iterate the iterative function f based on the current power PN to find the root and obtain a target power;

[0069] Based on the obtained power-temperature function F, the power is dynamically adjusted using Newton's method, quasi-Newton's method, or other fast iterative optimization algorithms.

[0070] Iterative root-finding formulas include:

[0071]

[0072] Where P target For the target power, P N Let f' be the current power, f' be the derivative of the iterative function, f be the iterative function, and F be the power-temperature function.

[0073] S42: Adjust the input voltage of the monitoring device according to the target power so that the device power reaches the target power.

[0074] Step S42 includes S421: matching a power-voltage range based on the target power to find the device input voltage range corresponding to the output power;

[0075] By creating tables, the voltage range corresponding to the power can be quickly found, narrowing the range of voltage regulation and making power regulation faster.

[0076] S422: Adjust the input voltage of the device step by step according to the corresponding device input voltage range until the power of the detected device is consistent with the target power.

[0077] S43: Detect the current ambient temperature of the device and calculate the temperature difference between it and the target temperature. If the temperature difference is less than the first temperature threshold, stop the adjustment; otherwise, repeat steps S41-S43.

[0078] The output power Poutput is gradually adjusted until the target temperature Ttarget reaches the desired error range. Each optimization reduces the power adjustment range, allowing the power to approach the target more quickly. After each optimization, the difference between the current temperature and the target temperature is used to determine if the stopping condition is met. If the error is less than a preset threshold (e.g., 0.1%), the adjustment stops; otherwise, the optimization iteration continues.

[0079] In addition, please see Figure 4 , Figure 4 This is an exemplary structural block diagram of an intelligent power regulation device based on temperature stability according to the present invention. In order to protect the safety of the device during operation, the intelligent regulation device of the present invention further includes a safety protection unit 50, which is used to compare the temperature data of the monitored device collected in real time with a safe temperature threshold range. If the temperature data is not within the safe temperature threshold range, an alarm is issued and the device operation is stopped.

[0080] The safety protection unit monitors temperature and power status in real time.

[0081] 1. Detection temperature range

[0082] (1) If the temperature is detected to be outside the safe range (Tsafe_min to Tsafe_max) or the power output is abnormal, the protection mechanism will be triggered.

[0083] (2) The default temperature safety range is set to 0℃ to 250℃, and the range can be adjusted according to the application.

[0084] 2. After the protection is triggered, perform the following steps:

[0085] (1) Trigger alarm: When the temperature or power exceeds the preset safety range, an alarm will be triggered in real time and the power output will be stopped;

[0086] (2) Data saving: Save the current experimental data (including temperature, power and equipment status) to the memory;

[0087] (3) Generate anomaly reports: Automatically generate anomaly reports, including the time of anomaly occurrence, temperature value, power value, equipment status, historical data in the sliding window, and analysis results;

[0088] (4) Fault recovery: If the abnormality is resolved, the experimental operation will be automatically restored and the power regulation process will be restarted.

[0089] Compared with the prior art, the present invention has the following advantages:

[0090] (1) This invention achieves high-precision control of temperature stability and power output by combining the sliding window algorithm with the fast convergence optimization algorithm, without the need for manual intervention, thus improving experimental efficiency and result stability.

[0091] (2) The device has flexible parameter adjustment capabilities (such as sliding window time range, data acquisition frequency, power adjustment step size, etc.), adapts to a variety of experimental scenarios, and has a wide range of applications.

[0092] (3) The present invention has a built-in multi-layer safety protection mechanism, which can monitor and respond quickly to abnormal temperature conditions in real time, ensuring the safety of the experimental process and the reliability of equipment operation.

[0093] (4) The present invention has a simple structure and modular design, which facilitates integration and expansion. It is suitable for large-scale industrial applications, and is energy-efficient and economical.

[0094] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and the present invention also intends to include these modifications and variations.

Claims

1. A smart power regulation method based on temperature stability, characterized in that, Including the following steps: S10: Collect temperature data of the monitored device at equal intervals in real time, and calculate the proportion of stable temperature data within a detection cycle. If the proportion of stable temperature data is less than a preset proportion, then execute step S20. The stable temperature data is the data that satisfies the condition that the temperature difference between two adjacent temperature data is less than a first temperature threshold. S20: Perform regression calculation on the power-temperature data of all monitored devices within the detection period to obtain the power-temperature function F; S30: Based on the power-temperature function F and the target temperature value Construct the iterative function f; S40: Based on current power The iterative function f is iterated to find the root to obtain the target power, and the output power of the device is adjusted according to the target power; step S40 includes: S41: Based on current power The root of the iterative function f is obtained by iteratively finding its roots; the iterative root-finding formula includes: in For the target power, For the current power, Let f be the derivative of the iterative function, f be the iterative function, and F be the power-temperature function; S42: Adjust the input voltage of the device to be monitored according to the target power so that the device power reaches the target power; S43: Detect the current ambient temperature of the device and calculate the temperature difference between it and the target temperature. If the temperature difference is less than the first temperature threshold, stop the adjustment; otherwise, repeat steps S41-S43. During power regulation, the following is also performed simultaneously: real-time temperature data of the monitored equipment is collected and compared with a safe temperature threshold range. If the temperature data is not within the safe temperature threshold range, an alarm is issued and the equipment operation is stopped.

2. The intelligent power regulation method based on temperature stability according to claim 1, characterized in that, Step S42 includes the following steps: S421: Match a power-voltage range based on the target power, and find the device input voltage range corresponding to the output power; S422: Adjust the input voltage of the device step by step according to the corresponding device input voltage range until the power of the detected device is consistent with the target power.

3. The intelligent power regulation method based on temperature stability according to claim 2, characterized in that, The preset weighting for comparison with the amount of stable temperature data is 90%.

4. A temperature-stability-based intelligent power regulation device, used to execute the temperature-stability-based intelligent power regulation method according to any one of claims 1-3, characterized in that, include: The temperature detection unit is used to collect temperature data of the monitored device at equal intervals in real time and calculate the proportion of stable temperature data within a detection cycle. If the proportion of stable temperature data is less than a preset proportion, step S20 is executed. The stable temperature data is the data that satisfies the temperature difference between two adjacent temperature data being less than a first temperature threshold. Power-temperature function fitting unit: used to perform regression calculation on the power-temperature data of all monitored devices within the detection period to obtain the power-temperature function F; Iterative function building unit: based on the power-temperature function F and the target temperature value Construct the iterative function f; Power regulation unit: Based on the current power The root of the iterative function f is obtained by iteratively finding the root, and the output power of the device is adjusted according to the target power. The safety protection unit is used to compare the temperature data of the monitored equipment collected in real time with a safe temperature threshold range. If the temperature data is not within the safe temperature threshold range, an alarm is issued and the equipment operation is stopped.

Images