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

Abstract

The invention relates to an intelligent power adjusting method and device based on temperature stability, and the method comprises the steps: collecting the temperature data of to-be-monitored equipment in real time at equal intervals, calculating the proportion of stable temperature data in a detection period, and if the proportion of the number of the stable temperature data is smaller than a preset proportion, determining that the to-be-monitored equipment is in a normal state. If yes, performing regression calculation on all the power-temperature data in the detection period to obtain a power-temperature function F; constructing an iterative function f according to the power-temperature function F and the target temperature value Ttarget; the iteration function f is subjected to iteration rooting according to the current power PN, target power is obtained, and the output power of the equipment is adjusted according to the target power.The method is based on the iteration thought of the Newton method, target power fast approximation in the power adjusting process is achieved, temperature stability and high-precision control over power output are achieved, manual intervention is not needed, and the method is suitable for large-scale popularization and application. And the experiment efficiency and the result stability are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control, and in particular to an intelligent power regulation method based on temperature stability and a regulation device thereof. Background Art

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

[0003] Modern experimental setups are increasingly demanding automation and precision. While some intelligent devices have incorporated temperature sensors and power regulation, they often suffer from incomplete temperature control stability analysis and slow dynamic power output adjustments, making them difficult to meet the demands of high-precision experiments.

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

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

[0006] In one aspect, the present invention provides an intelligent power regulation method based on temperature stability, comprising:

[0007] S10: collecting temperature data of the monitored device in real time at regular intervals, and calculating the proportion of stable temperature data within a detection period. If the proportion of the stable temperature data is less than a preset proportion, executing step S20, wherein the stable temperature data is data that satisfies the temperature difference between two adjacent temperature data is less than a first temperature threshold;

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

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

[0010] S40: According to the current power P N The iterative function f is iterated to obtain the root to obtain the target power, and the output power of the device is adjusted according to the target power.

[0011] The present invention is based on the mathematical thinking of Newton's method. It constructs a function for the power-temperature relationship of the monitored equipment, and then constructs an iterative function in combination with the target temperature. Finally, it continuously iterates and approximates the true target power value according to the iterative function, so that the target power for adjusting the temperature can be quickly found to achieve accurate temperature control accuracy and fast temperature control efficiency, thereby enhancing the safety and stability of the system operation during the experiment.

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

[0013]

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

[0015] Among them, P target is the target power, P N is the current power, f' is the derivative function of the iterative function, f is the iterative function, and F is the power-temperature function.

[0016] Furthermore, step S40 includes:

[0017] S41: According to the current power P N Iterate the iterative function f to find the root and obtain a target power;

[0018] S42: adjusting 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 the current ambient temperature and the target temperature. If the temperature difference is less than the first temperature threshold, stop adjusting. Otherwise, repeat steps S41-S43.

[0020] Furthermore, step S42 includes:

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

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

[0023] Furthermore, the preset proportion compared with the amount of stable temperature data is 90%.

[0024] Furthermore, during the power regulation process, the following operations are also performed simultaneously:

[0025] The real-time temperature data of the monitored device is 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.

[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 configured to collect temperature data of the monitored device in real time at regular intervals and calculate a proportion of stable temperature data within a detection period. If the proportion of stable temperature data is less than a preset proportion, step S20 is executed, wherein the stable temperature data is data satisfying that the temperature difference between two adjacent temperature data is less than a first temperature threshold;

[0028] A power-temperature function fitting unit, configured to perform regression calculation on all power-temperature data within the detection period to obtain a power-temperature function F;

[0029] Iterative function construction unit: according to the power-temperature function F and the target temperature value T target Construct iterative function f;

[0030] Power regulation unit: According to the current power P N The iterative function f is iterated to obtain the root to obtain the target power, 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 subunit: According to the current power P N Iterate the iterative function f to find the root and obtain a target power;

[0033] Voltage regulating subunit: regulating the input voltage of the monitoring device according to the target power so that the device 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 repeatedly executed.

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

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

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

[0038] (1) The present invention achieves high-precision control of temperature stability and power output by combining a sliding window algorithm with a fast convergence optimization algorithm without manual intervention, thereby 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, etc.), which can adapt to various experimental scenarios and has a wide range of applications.

[0040] (3) The present invention has a built-in multi-layer safety protection mechanism that can monitor and quickly respond to temperature anomalies 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, is easy to integrate and expand, is suitable for large-scale industrial applications, and is energy-efficient and highly economical.

[0042] For better understanding and implementation, the present invention is described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0044] Figure 2 To execute Figure 1 A structural block diagram of an intelligent power regulation device according to the method shown;

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

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

[0047] It should be clear that the embodiments described are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the embodiments of the present application.

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

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

[0050] In a laboratory environment, temperature can be influenced through external temperature control methods such as air conditioning, fans, and heat transfer, but high-precision temperature control is difficult to achieve. High-precision temperature control typically involves adjusting the device's power by regulating the input voltage to the control device, thereby affecting the device's temperature. However, in this case, manual adjustment relies on observing the temperature sensor, making accurate temperature control difficult. To achieve automated device temperature control, the present 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 complexity of solving the equation made it difficult to directly find a solution to the function. Based on this, the present invention further investigated constructing an iterative function f using the power-temperature function F and the target temperature Ttarget. Based on the principle of Newton's method, the function constructed here seeks the root when the corresponding iterative function f is 0. Specifically, let F(x) - target = f(x), with x being the power parameter. At this point, the solution F(x) - Ttarget = 0 is obtained. In other words, the Newton method is applied to f, and the power obtained is the device power when F(x) = Ttarget.

[0051] Newton's method: A classic iterative method primarily used to solve roots of nonlinear equations. Its basic idea is to linearize the nonlinear problem using Taylor expansion, using function derivatives to gradually approximate the true solution. Newton's method can converge to second order, meaning it approaches the true solution faster with each iteration.

[0052] Specifically, see Figure 1 and Figure 2 , Figure 1 A flow chart of an intelligent power regulation method based on temperature stability provided by the present invention, Figure 2 To execute Figure 1The structural block diagram of the intelligent power regulation device of the method shown, wherein the intelligent power regulation 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 is used to collect temperature data of the device to be monitored and process the temperature data. The power-temperature function fitting unit 20 completes the construction of the power-temperature function in the current state based on the data collected by the temperature detection unit, so that the iterative function construction unit 30 can construct an iterative equation based on the power-temperature function; finally, the power regulation unit completes the adjustment of the device power according to the target temperature and the iterative equation, thereby automatically adjusting the device temperature. Specifically, the execution process of each unit of the intelligent power regulation device of the present invention is as follows:

[0053] First, the user sets the target temperature value Ttarget through the control interface, starting the intelligent power regulation device. All units are initialized. The temperature detection unit 10 then executes step S10: It collects temperature data of the monitored device in real time at regular intervals and calculates the percentage of stable temperature data within a detection cycle. If the percentage of stable temperature data is less than a preset percentage, step S20 is executed, where the stable temperature data is the percentage of adjacent temperature data.

[0054] The temperature value Tcurrent of the experimental area is collected in real time through a high-precision sensor, and the data is recorded at a set frequency. The default collection frequency is 1 time per second, and the frequency range can be adjusted to 0.1 to 10 times per second according to needs. The collected data is stored in the buffer of the sliding window, and the sliding window size can be configured to be 30 seconds to 120 seconds. The buffer adopts a first-in-first-out (FIFO) structure to ensure real-time performance and priority for the latest data. The buffer capacity is preferably 60 data points, which can be adjusted to 30 to 120 data points according to application requirements. Set the time window to 60 seconds (the range can be adjusted from 30 seconds to 120 seconds). Calculate the temperature difference |Ti-Ti-1| between each two adjacent points in the sliding window, and record the number of data nstabl whose temperature difference is less than a first temperature threshold ATthreshold 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), 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 to 0.01°C to 1°C according to experimental requirements.

[0058] If a stable state is reached, data collection continues and the above judgment process is repeated. Otherwise, step S20 is executed.

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

[0060] Power output is adjusted by adjusting voltage. Therefore, to quickly match input voltage with output power, the voltage-power range is pre-divided into regions. First, the voltage 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 (for example, divided at equal intervals based on voltage) to ensure that the power value difference within each range is not too large. This ultimately results in a power-voltage range.

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

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

[0063] Since Newton's method is to find the root of a function, it is necessary to keep one side of the function equal to 0. Therefore, it is necessary to construct the function f in advance so that:

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

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

[0066] The power adjustment unit 40 is used to perform step S40: according to the current power P N The iterative function f is iterated to obtain the root to obtain the target power, and the output power of the device is adjusted according to the target power.

[0067] Specifically, see Figure 3 , step S40 includes:

[0068] S41: Iterate the iterative function f according to the current power PN to obtain a target power;

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

[0070] The iterative root-finding formula includes:

[0071]

[0072] Among them, P target is the target power, P N is the current power, f′ is the derivative function of the iterative function, f is the iterative function, and F is 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 interval according to the target power, and finding a device input voltage interval corresponding to the output power;

[0075] By building a table, the voltage range corresponding to the power can be quickly found, which narrows the range of voltage regulation and makes power regulation faster.

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

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

[0078] Gradually adjust the output power Poutput until the target temperature Ttarget reaches the desired error range. Each optimization iteration narrows 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 determines whether the stopping condition is met. If the error is less than a preset threshold (such as 0.1%), the adjustment stops; otherwise, the optimization iteration continues.

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

[0083] (2) The temperature safety range is set to 0°C to 250°C by default, 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, the alarm is triggered in real time and the power output is stopped;

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

[0087] (3) Generate exception report: Automatically generate exception report, which includes the time of exception occurrence, temperature value, power value, equipment status, historical data of 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) The present invention achieves high-precision control of temperature stability and power output by combining a sliding window algorithm with a fast convergence optimization algorithm without manual intervention, thereby 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, etc.), which can adapt to various experimental scenarios and has a wide range of applications.

[0092] (3) The present invention has a built-in multi-layer safety protection mechanism that can monitor and quickly respond to temperature anomalies 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, is easy to integrate and expand, is suitable for large-scale industrial applications, and is energy-efficient and highly economical.

[0094] The above-described embodiments merely represent several implementations of the present invention. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous modifications and improvements without departing from the spirit of the present invention, and the present invention is intended to encompass such modifications and variations.

Claims

1. An intelligent power regulation method based on temperature stability, characterized in that: include: S10: collecting temperature data of the monitored device in real time at equal intervals, and calculating the proportion of stable temperature data within a detection period. If the proportion of the stable temperature data is less than a preset proportion, executing step S20, wherein the stable temperature data is data satisfying that the temperature difference between two adjacent temperature data is less than a first temperature threshold; S20: performing regression calculation on all power-temperature data in the detection period to obtain a power-temperature function F; S30: According to the power-temperature function F and the target temperature value T target Construct iterative function f; S40: According to the current power P N The iterative function f is iterated to find the root, the target power is obtained, and the output power of the device is adjusted according to the target power.

2. The intelligent power regulation method based on temperature stability according to claim 1, characterized in that: The iterative root-finding formula of step S40 includes: f(x)=F(x)-T target Where P target is the target power, P N is the current power, f' is the derivative function of the iterative function, f is the iterative function, and F is the power-temperature function.

3. The intelligent power regulation method based on temperature stability according to claim 2, characterized in that: Step S40 includes: S41: According to the current power P N Iterate the iterative function f to find the root and obtain a target power; S42: adjusting the input voltage of the monitoring device 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 the current ambient temperature and the target temperature. If the temperature difference is less than the first temperature threshold, stop adjusting. Otherwise, repeat steps S41-S43.

4. The intelligent power regulation method based on temperature stability according to claim 3, characterized in that: Step S42 includes: S421: Match a power-voltage interval according to the target power, and find a device input voltage interval corresponding to the output power; S422: adjusting the input voltage of the device step by step according to the corresponding device input voltage range until the detected device power is consistent with the target power.

5. The intelligent power regulation method based on temperature stability according to claim 4, characterized in that: The preset proportion compared with the amount of stable temperature data is 90%.

6. An intelligent power regulation method based on temperature stability according to claims 1-5, characterized in that: During the power regulation process, the following are also performed simultaneously: The temperature data of the device to be monitored collected in real time is 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 operation is stopped.

7. An intelligent power regulation device based on temperature stability, characterized in that: include: The temperature detection unit is used to collect temperature data of the monitored device in real time at equal intervals, and calculate the proportion of stable temperature data within a detection period. If the proportion of the stable temperature data is less than a preset proportion, step S20 is executed, wherein the stable temperature data is data satisfying that the temperature difference between two adjacent temperature data is less than a first temperature threshold; A power-temperature function fitting unit, used for performing regression calculation on all power-temperature data in the detection period to obtain a power-temperature function F; Iterative function building unit: according to the power-temperature function F and the target temperature value T target Construct iterative function f; Power adjustment unit: According to the current power P N The iterative function f is iterated to find the root, the target power is obtained, and the output power of the device is adjusted according to the target power.

8. The intelligent power regulation device based on temperature stability according to claim 7, characterized in that: The power regulation unit comprises: Target power solution subunit: According to the current power P N Iterate the iterative function f to find the root and obtain a target power; Voltage regulating subunit: regulating the input voltage of the monitoring device according to the target power so that the device power reaches the target power; 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 repeatedly executed.

9. The intelligent power regulation device based on temperature stability according to any one of claims 7 to 8, characterized in that: Also included. The safety protection unit 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 is stopped.

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