Laboratory dynamic self-adaptive temperature control method and device based on phase change material, and storage medium

Abstract

The invention provides a laboratory dynamic adaptive temperature control method and device based on a phase change material, and a storage medium, and the method comprises the steps: obtaining temperature data in a laboratory, and predicting a future temperature through a laboratory temperature prediction model; the temperature data comprises current temperature data and types of temperature control equipment and phase change materials in a laboratory; calculating a temperature deviation according to the target temperature and the current temperature data; and in combination with the temperature deviation and the target temperature, the usage amount of the phase-change material and the state of the temperature control equipment are adjusted through a self-adaptive control algorithm, so that the laboratory temperature is within the target range. The energy consumption is reduced, the temperature control precision is improved, and it is ensured that the laboratory temperature is always in the optimal range.

Description

Technical Field

[0001] The present application relates to the field of intelligent control technology, and specifically to a laboratory dynamic adaptive temperature control method, equipment, and storage medium based on phase change materials. Background Art

[0002] In a laboratory environment, the stability and accuracy of the temperature control system are critical to the reliability of experimental results. Many experiments require to be carried out within a specific temperature range to ensure the accuracy of the reaction and the validity of the data. However, traditional temperature control systems usually use constant heating or cooling equipment, which is prone to temperature instability when dealing with ambient temperature fluctuations, resulting in affected experimental results. In addition, traditional systems are inefficient in terms of energy consumption and slow to respond to rapidly changing temperature requirements, which cannot meet the needs of modern laboratories for precise temperature control.

[0003] Phase change material (PCM), as a new type of heat storage medium, has significant potential to optimize laboratory temperature control systems. By absorbing or releasing a large amount of heat during the solid-liquid phase change process, PCM can stabilize temperature fluctuations and provide more precise temperature control. Although existing PCM technology has been applied to many fields, its low thermal conductivity, supercooling and high cost are still bottlenecks restricting its widespread application. Therefore, how to combine phase change materials with intelligent control technology to achieve fast, accurate and energy-saving laboratory temperature control has become the key to improving the effect of laboratory environmental control. Summary of the invention

[0004] In order to solve the above problems, the embodiments of the present application provide a laboratory dynamic adaptive temperature control method, equipment, and storage medium based on phase change materials to reduce energy consumption while improving temperature control accuracy to ensure that the laboratory temperature is always within the optimal range.

[0005] To this end, the present application provides a laboratory dynamic adaptive temperature control method based on phase change materials, comprising:

[0006] Obtain temperature data in the laboratory and predict future temperature using a laboratory temperature prediction model; the temperature data includes current temperature data and the types of temperature control equipment and phase change materials in the laboratory;

[0007] Calculate the temperature deviation based on the target temperature and current temperature data;

[0008] In combination with the temperature deviation and the target temperature, the amount of phase change material used and the state of the temperature control device are adjusted through an adaptive control algorithm so that the laboratory temperature is within the target range.

[0009] In some embodiments, the adjustment mode of the phase change material and the state of the temperature control device are determined by an adaptive control algorithm in combination with the temperature deviation and the target temperature, including:

[0010] Determine the amount of phase change material to be used based on the temperature deviation;

[0011] According to the current temperature and the target temperature, dynamically adjust the output power of the temperature control device based on the control strategy;

[0012] Adjust the power of the temperature control equipment according to the temperature deviation and future temperature to meet the cold and hot balance formula.

[0013] In some embodiments, the control strategy uses a PID control algorithm to adjust the output power of the temperature control device according to the following formula:

[0014]

[0015] Among them, K p , K i , K d are the proportional, integral and differential gain coefficients of the controller respectively; ΔT(t) is the temperature deviation, and ΔT(τ) is the change of temperature deviation from the initial moment to the current moment.

[0016] In some embodiments, determining the amount of phase change material to be used according to the temperature deviation includes:

[0017] Calculate the thermal response of the phase change material at the current moment according to the temperature deviation;

[0018] When the temperature deviation is greater than a preset range, the usage volume of the phase change material is adjusted according to the latent heat of the phase change material.

[0019] In some embodiments, the thermal response of the phase change material at the current moment is calculated by the following formula:

[0020]

[0021] Among them, Q PCM (t) is the thermal response of the phase change material, ρ is the density of the phase change material, V is the volume of the phase change material, is the specific heat capacity of the phase change material, δ is the adjustment parameter, ΔT bias (t) is the temperature deviation.

[0022] In some embodiments, the future temperature is predicted by a laboratory temperature prediction model, specifically:

[0023] The future temperature is predicted by the following formula:

[0024]

[0025] Where, T(t) is the current temperature, Q i(t) is the input of the ith heat source, α, β, λ are dynamic coefficients, and n is the number of heat sources.

[0026] In some embodiments, the volume of phase change material used is adjusted by the following formula:

[0027]

[0028] Where L is the latent heat, ρ PCM is the density of the phase change material, Q total =m lab ·c air ΔT bias (t) is the heat that needs to be adjusted, V lab is the laboratory volume, ρ air is the air density.

[0029] In a second aspect, the present application provides an electronic device comprising multiple processors, a memory, and a computer program stored in the memory and executable on the processor, wherein the multiple processors, when executing the computer program, implement a laboratory dynamic adaptive temperature control method based on phase change materials as described in any one of the above.

[0030] In a third aspect, the present application provides a storage medium having a computer program stored thereon, and when the computer program is executed, the laboratory dynamic adaptive temperature control method based on phase change materials as described in any one of the above items is implemented.

[0031] In another aspect of the present application, an electronic device is provided, comprising multiple processors, a memory, and a computer program stored in the memory and executable on the processor, wherein the multiple processors implement the laboratory dynamic adaptive temperature control method based on phase change materials as described in any one of the above when executing the computer program.

[0032] In another aspect of the present application, a storage medium is provided, on which a computer program is stored, and when the computer program is executed, the laboratory dynamic adaptive temperature control method based on phase change materials as described in any one of the above is implemented.

[0033] As described above, this application combines the collaborative work of phase change materials and temperature control equipment, and uses a dynamic adaptive control algorithm to adjust the laboratory temperature according to real-time temperature data and predicted temperature, which can effectively reduce temperature fluctuations and improve energy efficiency. By predicting future temperatures and adjusting the adjustment mode of phase change materials and the state of temperature control equipment in real time, this method can quickly respond to temperature changes, maintain stable temperature in the laboratory, avoid excessive heating or cooling, and thus reduce energy consumption, extend the service life of equipment, and improve the overall performance and economy of the laboratory temperature control system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can also be obtained based on these drawings without paying creative labor. These drawings and text descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application for those skilled in the art by referring to specific embodiments.

[0035] Figure 1 It is a schematic flow chart of a laboratory dynamic adaptive temperature control method based on phase change materials provided by the present invention;

[0036] Figure 2 This is a schematic flow chart of step S3 of the laboratory dynamic adaptive temperature control method based on phase change materials provided by the present invention. DETAILED DESCRIPTION

[0037] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0038] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0039] It should be understood that, although the terms first, second, third, etc. may be used to describe various information in this article, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this article, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination". Furthermore, as used in this article, the singular forms "one", "one" and "the" are intended to also include plural forms, unless there is an opposite indication in the context. It should be further understood that the terms "comprising" and "including" indicate that there are the described features, steps, operations, elements, components, projects, kinds, and / or groups, but do not exclude the existence, occurrence or addition of one or more other features, steps, operations, elements, components, projects, kinds, and / or groups. The terms "or", "and / or", "including at least one of the following" etc. used in this application can be interpreted as inclusive, or mean any one or any combination. An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some manner.

[0040] It should be understood that, although the various steps in the flowchart in the embodiment of the present application are displayed in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and it can be performed in other orders. Moreover, at least a portion of the steps in the figure may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and their execution order is not necessarily performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0041] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0042] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0043] See also Figure 1, the present application provides a laboratory dynamic adaptive temperature control method based on phase change materials, which reduces energy consumption while improving temperature control accuracy to ensure that the laboratory temperature is always within the optimal range.

[0044] This application includes the following steps:

[0045] Step S1, obtain the temperature data in the laboratory, and predict the future temperature through the laboratory temperature prediction model; the temperature data includes the current temperature data and the temperature control equipment and phase change material in the laboratory.

[0046] Generally, the laboratory is equipped with temperature sensors to collect the current temperature data T(t) in real time, as well as the working status of temperature control equipment such as air conditioners and heaters and the temperature data of phase change materials. The laboratory temperature prediction model is used to predict the temperature in the future.

[0047] The future temperature is predicted by the laboratory temperature prediction model, specifically:

[0048] The future temperature is predicted by the following formula:

[0049]

[0050] Where, T(t) is the current temperature, Q i (t) is the input of the ith heat source, α, β, λ are dynamic coefficients, and n is the number of heat sources.

[0051] Step S2: Calculate the temperature deviation according to the target temperature and the current temperature data.

[0052] Each laboratory has its target temperature to meet the needs of the experiment and ensure the smooth progress of the experiment. Therefore, the temperature deviation is calculated through the output of the temperature deviation and the laboratory prediction model, so as to further determine the direction of the next adjustment. For example, the adjustment requirements of the phase change material and the control strategy of the temperature control equipment are determined.

[0053] Step S3: In combination with the temperature deviation and the target temperature, the amount of phase change material used and the state of the temperature control device are adjusted through an adaptive control algorithm so that the laboratory temperature is within the target range.

[0054] Specifically, step S3 also includes:

[0055] Step S31, determining the usage amount of phase change material according to the temperature deviation, comprising:

[0056] The thermal response of the phase change material at the current moment is calculated according to the temperature deviation. When the temperature deviation is greater than a preset range, the use volume of the phase change material is adjusted according to the latent heat of the phase change material.

[0057] The thermal response calculation formula of phase change material is:

[0058]

[0059] Among them, Q PCM (t) is the thermal response of the phase change material, ρ is the density of the phase change material, V is the volume of the phase change material, is the specific heat capacity of the phase change material, δ is the adjustment parameter, ΔT bias (t) is the temperature deviation.

[0060] According to the laboratory volume V lab , air density ρ air And the temperature deviation ΔT bias (t), calculate the heat that needs to be adjusted:

[0061] Q total =m lab ·c air ΔT bias (t)

[0062] Among them, m lab =ρ air ·V lab .

[0063] The volume of phase change material required is:

[0064]

[0065] Where L is the latent heat, ρ PCM is the density of the phase change material.

[0066] When the temperature deviation is large, the temperature adjustment process is accelerated by increasing the volume of the phase change material or increasing its thermal response rate. Specifically, assuming that the temperature fluctuation in the laboratory is large, the heat absorption or heat release capacity of the phase change material is enhanced by increasing the volume of the phase change material or adjusting the thermal response coefficient δ of the phase change material. When the temperature gradually approaches the target temperature, the system slows down the thermal response of the phase change material and reduces its heat absorption or heat release to avoid over-adjustment.

[0067] Furthermore, if the thermal response of the phase change material needs to be increased, its heat storage capacity can be increased by increasing the volume of the phase change material. For example, if the current volume of the phase change material is not enough to cope with temperature fluctuations, it can be further adjusted by increasing the total capacity of the phase change material. If a large temperature deviation is detected, or if the amount of heat absorption needs to be increased during a specific time period, such as when the equipment is running at high load, the volume of the phase change material can be increased. For example, the heat absorption and release capacity can be increased by adding more phase change material plates or modules.

[0068] Step S32: dynamically adjust the output power of the temperature control device based on the control strategy according to the current temperature and the target temperature.

[0069] While adjusting the phase change material, the temperature control device works together to adjust the working state of the temperature control device according to the PID control algorithm. The heating or cooling device will adjust the output power according to the PID control algorithm to supplement or subtract the remaining temperature deviation. For example, if the phase change material has absorbed 100,661J / s of heat and the current temperature has not reached the target temperature, the heating or cooling device needs to continue working and adjust the output power P(t) through the control strategy to fine-tune the temperature.

[0070] The output power of the temperature control device is adjusted according to the following formula:

[0071]

[0072] Among them, K p , K i , K d are the proportional, integral and differential gain coefficients of the controller respectively; ΔT(t) is the temperature deviation, and ΔT(τ) is the change of temperature deviation from the initial moment to the current moment.

[0073] Specifically, K p is the proportional gain coefficient, which is used to control the current temperature deviation; K i is the integral gain coefficient, which is used to control the historical accumulated error; is the differential gain coefficient, which controls the rate of change of temperature deviation.

[0074] Based on the PID output, the controller will adjust the working state of the temperature control device (such as an air conditioner or heater). For example, if it is a heating device, the PID controller may increase the heating power; if it is a cooling device, the controller may increase the cooling capacity. The purpose of the adjustment is to reduce the temperature of the laboratory to the target temperature. The output of the PID controller will be used in conjunction with the adjustment of the phase change material. According to the current temperature deviation and temperature change trend, the system will adjust the volume or thermal response coefficient of the phase change material so that it can assist in controlling the temperature change during the heating or cooling process. The rate at which the phase change material absorbs or releases heat will match the output of the PID controller to keep the temperature stable.

[0075] Step S33, further adjusting the output power of the temperature control device according to the temperature deviation and the future temperature to satisfy the cold and heat balance formula;

[0076] The heat balance formula is:

[0077]

[0078] Among them, Q i (t) Heat source input is the heat generated by external or internal equipment, Q PCM(t) is the heat stored or released by the phase change material, C is the heat capacity of the laboratory, and ΔT(t) is the deviation between the current temperature and the target temperature. The power output of the heating / cooling equipment and the amount of phase change material used will be automatically adjusted according to the temperature trend and thermal balance of the laboratory. The changes in temperature deviation are monitored in real time, and the thermal response of the phase change material is automatically adjusted. For example, if the temperature deviation is reduced to 1°C, the thermal response of the phase change material will be slowed down, reducing its heat absorption, thereby avoiding over-regulation. The temperature adjustment process is balanced by factors such as heat source input, phase change material and environmental specific heat capacity to ensure the stable operation of the laboratory's temperature control system.

[0079] This application uses an adaptive control algorithm, combined with temperature data and laboratory temperature prediction models, to dynamically calculate the required heat and adjust the amount of phase change material used to ensure that the temperature in the laboratory is always kept within the target range. Phase change materials work with temperature control equipment by absorbing or releasing heat to quickly respond to temperature changes and optimize energy efficiency. This method not only improves temperature control accuracy, but also effectively reduces energy consumption and enhances the flexibility and reliability of the system.

[0080] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0081] In the present application, the same or similar terminology concepts, technical solutions and / or application scenario descriptions are generally described in detail only the first time they appear. When they appear again later, they are generally not repeated for the sake of brevity. When understanding the technical solutions and other contents of the present application, for the same or similar terminology concepts, technical solutions and / or application scenario descriptions that are not described in detail later, reference can be made to the previous related detailed descriptions.

[0082] In the present application, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0083] The various technical features of the technical solution of the present application can be arbitrarily combined. In order to make the description concise, not all possible combinations of the various technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of the present application.

[0084] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as above, and includes a number of instructions for a terminal device (which can be an electrical device or a network device, etc.) to execute the method of each embodiment of the present application.

[0085] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A laboratory dynamic adaptive temperature control method based on phase change materials, characterized in that: include: Obtain temperature data in the laboratory and predict future temperature using a laboratory temperature prediction model; the temperature data includes current temperature data and the types of temperature control equipment and phase change materials in the laboratory; Calculate the temperature deviation based on the target temperature and current temperature data; In combination with the temperature deviation and the target temperature, the amount of phase change material used and the state of the temperature control device are adjusted through an adaptive control algorithm so that the laboratory temperature is within the target range.

2. The laboratory dynamic adaptive temperature control method based on phase change material according to claim 1, characterized in that: Combining the temperature deviation and the target temperature, the adjustment mode of the phase change material and the state of the temperature control device are determined by an adaptive control algorithm, including: Determine the amount of phase change material to be used based on the temperature deviation; According to the current temperature and the target temperature, dynamically adjust the output power of the temperature control device based on the control strategy; Adjust the output power of the temperature control equipment according to the temperature deviation and future temperature to meet the cold and heat balance formula.

3. The laboratory dynamic adaptive temperature control method based on phase change material according to claim 2, characterized in that: The control strategy adopts the PID control algorithm and adjusts the output power of the temperature control device according to the following formula: Among them, K p , K i , K d are the proportional, integral and differential gain coefficients of the controller respectively; ΔT(t) is the temperature deviation, and ΔT(τ) is the change of temperature deviation from the initial moment to the current moment.

4. The laboratory dynamic adaptive temperature control method based on phase change material according to claim 3, characterized in that: Determine the amount of phase change material to be used based on the temperature deviation, including: Calculate the thermal response of the phase change material at the current moment according to the temperature deviation; When the temperature deviation is greater than a preset range, the usage volume of the phase change material is adjusted according to the latent heat of the phase change material.

5. The laboratory dynamic adaptive temperature control method based on phase change material according to claim 4, characterized in that: The thermal response of the phase change material at the current moment is calculated by the following formula; Among them, Q PCM (t) is the thermal response of the phase change material, ρ is the density of the phase change material, V is the volume of the phase change material, is the specific heat capacity of the phase change material, δ is the adjustment parameter, ΔT bias (t) is the temperature deviation.

6. The laboratory dynamic adaptive temperature control method based on phase change material according to claim 2, characterized in that: The future temperature is predicted by the laboratory temperature prediction model, specifically: The future temperature is predicted by the following formula: Where, T(t) is the current temperature, Q i (t) is the input of the ith heat source, α, β, λ are dynamic coefficients, and n is the number of heat sources.

7. The laboratory dynamic adaptive temperature control method based on phase change material according to claim 5, characterized in that: The volume of phase change material used is adjusted by the following formula: Where L is the latent heat, ρ PCM is the density of the phase change material, Q total =m lab ·c air ΔT bias (t) is the heat that needs to be adjusted, V lab is the laboratory volume, ρ air is the air density.

8. An electronic device, characterized in that: The method comprises a plurality of processors, a memory and a computer program stored in the memory and executable on the processor. When the plurality of processors execute the computer program, the method for dynamic adaptive temperature control in a laboratory based on phase change material as claimed in any one of claims 1 to 7 is implemented.

9. A storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the laboratory dynamic adaptive temperature control method based on phase change material according to any one of claims 1 to 7 is implemented.

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