CN117824224B - Control method of low-temperature system for enhancing stability - Google Patents
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- 230000033228 biological regulation Effects 0.000 claims abstract description 24
- 238000005057 refrigeration Methods 0.000 claims abstract description 15
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
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Abstract
The invention relates to the technical field of digital data processing, in particular to a control method of a low-temperature system for enhancing stability. The method specifically comprises the following steps: firstly, introducing a temperature stabilization intelligent regulation algorithm and an environment adaptation dynamic regulation algorithm to process the temperature of a low-temperature system to obtain control parameters of the low-temperature system, and regulating the control parameters; and then, based on the implementation of the temperature stabilization intelligent regulation algorithm and the environment adaptation dynamic regulation algorithm, recovering heat energy generated in the refrigeration process by using a heat energy recovery technology, constructing an optimal recovery model, and adjusting the operation parameters of the low-temperature system. Solves the technical problems of inaccurate control and poor stability of the low-temperature system in the prior art.
Description
Technical Field
The invention relates to the technical field of digital data processing, in particular to a control method of a low-temperature system for enhancing stability.
Background
Stability is a critical factor in the design and operation of cryogenic systems. Such systems are commonly used in superconducting technology, quantum computing, cryopreservation, and certain industrial processes. Their core challenge is to maintain and control extremely low temperatures while preventing disturbances of the external environment and instability of the internal thermodynamic process; conventional cryogenic system control methods rely on passive thermal insulation and mechanical refrigeration techniques. While these techniques have made significant advances over the past decades, their efficiency and reliability remain challenging in extremely low temperature environments. The limitations of these approaches become more apparent in applications requiring long term stable operation, such as quantum computers.
There are many control methods for low temperature systems, and our country invents a "self-adaptive temperature control method for improving system temperature stability", application number: "CN20201193353. X", publication date: 2021.03.09, mainly comprising: according to the invention, the temperature stability of the controlled object, namely the temperature fluctuation value within a period of time, rather than the actual measured temperature of the controlled object, is used as the input basis and the control target for the heating power control of the temperature control system, and the target temperature can be automatically adjusted along with the change of the thermal environment on the premise of ensuring that the temperature stability requirement of the controlled object is met, so that the system efficiency is optimal, the adaptability of a temperature control strategy is greatly improved, and the energy consumption of the temperature control system is remarkably saved.
However, the above technology has at least the following technical problems: the control of the low-temperature system is not accurate enough and the stability is poor.
Disclosure of Invention
The invention provides a control method of a low-temperature system for enhancing stability, which solves the technical problems of inaccurate control and poor stability of the low-temperature system in the prior art and realizes the technical effects of high accuracy and high stability control of the low-temperature system.
The invention relates to a control method of a low-temperature system for enhancing stability, which specifically comprises the following technical scheme:
a method of controlling a cryogenic system for enhanced stability, comprising the steps of:
S1, introducing a temperature stabilization intelligent regulation algorithm and an environment adaptation dynamic regulation algorithm to process the temperature of a low-temperature system to obtain control parameters, and regulating the control parameters;
s2, based on the implementation of the temperature stabilization intelligent regulation algorithm and the environment adaptation dynamic regulation algorithm, recovering heat energy generated in the refrigeration process by using a heat energy recovery technology, constructing an optimal recovery model, and adjusting the operation parameters of the low-temperature system.
Preferably, the S1 specifically includes:
Aiming at temperature control of a low-temperature system, a temperature stabilization intelligent regulation algorithm is introduced to collect temperature data, and noise reduction treatment is carried out on the temperature data through a moving average filter.
Preferably, in the step S1, the method further includes:
in the process of controlling the low-temperature system, an environment adaptation dynamic adjustment algorithm is introduced, and the control parameters of the low-temperature system are adjusted according to the deviation of the actual temperature and the target temperature.
Preferably, in the step S1, the method further includes:
when the control parameters are adjusted, the control parameters are converted into equipment control signals so as to control the low-temperature system.
Preferably, the S2 specifically includes:
In the process of implementing the temperature stabilization intelligent regulation algorithm and the environment adaptation dynamic regulation algorithm, the heat energy generated in the refrigeration process is recovered by utilizing a heat energy recovery technology.
Preferably, in the step S2, the method further includes:
And in the implementation process of the optimal recovery model, collecting heat energy generated by each component, and analyzing the influence of environmental factors to obtain the parameter characteristics of the construction of the optimal recovery model.
Preferably, in the step S2, the method further includes:
In the implementation process of the optimal recovery model, constructing an objective function of the optimal recovery model, and defining constraint conditions; the constraints include system stability constraints, thermal energy load limitations, and operational safety ranges.
Preferably, in the step S2, the method further includes:
in the implementation process of the optimal recovery model, an optimal solution of the objective function is obtained by adopting mixed integer nonlinear programming, and the operation parameters of the low-temperature system are adjusted according to the optimal solution.
The technical scheme of the invention has the beneficial effects that:
1. According to the invention, the high-precision filter is combined by the temperature stabilization intelligent regulation algorithm, so that the data noise is reduced, and the monitoring and control precision of the temperature of the low-temperature system is enhanced; the system parameters can be quickly adjusted according to the deviation between the actual temperature and the target temperature by using an environment-adaptive dynamic adjustment algorithm, so that the temperature fluctuation caused by environment change is effectively reduced.
2. According to the invention, through a heat energy recovery technology, heat energy generated in the refrigeration process is effectively recovered, and the total energy loss is reduced; the recovered heat energy is utilized to preheat the fluid entering the refrigeration system, so that the requirement on external energy is reduced, and the energy efficiency and the stability of the system are enhanced; the recovered heat energy is converted into electric energy through the thermoelectric conversion device, so that the energy utilization rate is improved; by constructing an optimal recovery model and a mixed integer nonlinear programming, the operation parameters of the low-temperature system are accurately adjusted so as to maintain the optimal operation state and stability of the system.
Drawings
FIG. 1 is a schematic diagram of a planar distribution structure of a low temperature system with enhanced stability according to an embodiment of the present invention;
FIG. 2 is an enlarged schematic view of the area A of the cryogenic system with enhanced stability according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method of controlling a cryogenic system for enhanced stability according to an embodiment of the present invention;
In the figure: 1-load release valve, 2-liquid storage tank, 3-angle valve, 4-oil filling low-pressure gauge, 5-high-low pressure controller, 6-compressor, 7-oil filling high-pressure gauge, 8-oil separator, 9-forced air cooling condenser, 10-drier filter, 11-first gas-liquid separator, 12-first expansion valve, 13-second intermediate heat exchanger, 14-second expansion valve, 15-first ball valve, 16-second storage tank, 17-vacuum pump, 18-second ball valve, 19-first evaporator, 20-second evaporator, 21-subcooler, 22-first intermediate heat exchanger, 23-second gas-liquid separator, 24-copper ball valve.
Detailed Description
In order to further illustrate the technical means and effects adopted by the present invention to achieve the preset purpose, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of a control method of a low-temperature system for enhancing stability provided by the invention with reference to the accompanying drawings.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Referring to fig. 1, there is shown a schematic planar distribution structure of a low temperature system for enhancing stability according to an embodiment of the present invention, the system includes the following parts:
The oil storage device comprises a liquid storage tank 2 and an angle valve 3, wherein the angle valve 3 is fixedly arranged at two sides of the lower end of the liquid storage tank 2, an oil-filled low-pressure gauge 4 is arranged at the outer end of the left angle valve 3, a compressor 6 is arranged at the outer end of the oil-filled low-pressure gauge 4, a high-low pressure controller 5 is arranged at the joint of the oil-filled low-pressure gauge 4 and the compressor 6, an oil-filled high-pressure gauge 7 is arranged at the outer end of the compressor 6, an oil separator 8 is arranged at the outer end of the oil-filled high-pressure gauge 7, an air-cooled condenser 9 is arranged at the outer end of the oil separator 8, a drying filter 10 is arranged at the outer end of the air-cooled condenser 9, and a load release valve 1 is arranged at the outer end of the drying filter 10; the outer side of the second storage tank 16 is provided with a liquid level meter, and the interior of the second storage tank 16 is in a hollow state; because the inside of the second storage tank 16 is in a hollow state, the storage medium is convenient to use, and the liquid level meter is arranged on the outer side of the second storage tank 16, so that the liquid level state of the medium is convenient to check for use; the liquid storage tank 2 and the angle valve 3 are fixedly connected through the flange, and the liquid storage tank 2 and the angle valve 3 are communicated, so that the liquid storage tank 2 and the angle valve 3 are conveniently installed and used, and the liquid storage tank 2 and the angle valve 3 are communicated, so that the control and the transportation are convenient; the second storage tank 16 is cylindrical, and a connecting pipe is arranged at the lower end of the second storage tank 16, so that the second storage tank 16 is cylindrical and convenient to place, and a connecting pipe is arranged at the lower end of the second storage tank 16 and convenient to fixedly connect with the outside for use; the second ball valve 18 is connected with the second storage tank 16 through a one-way valve, and the second ball valve 18 is fixedly connected with the vacuum pump 17 through a flange, so that the one-way conveying is convenient, and the second ball valve 18 is fixedly connected with the vacuum pump 17 through the flange, so that the installation and the use are convenient;
Working principle: the liquid storage tank 2 is convenient to control and convey through the angle valve 3 at the lower end, and is convenient to convey into the oil separator 8 through the compression of the compressor 6 when in use, so that the liquid storage tank is convenient to cool through the air-cooled condenser 9, and after the liquid storage tank is cooled, the liquid storage tank is effectively dried and conveyed through the drying filter 10, and the liquid storage tank is convenient to control and convey through the load release valve 1;
Referring to fig. 2, an enlarged structural schematic diagram of an area a of a low temperature system for enhancing stability provided by an embodiment of the present invention is shown, and referring to fig. 1, the area a of the low temperature system includes a subcooler 21 disposed at a connection between a load release valve 1 and a dry filter 10, a first intermediate heat exchanger 22 disposed at an outer end of the subcooler 21, a second gas-liquid separator 23 disposed at a connection between the subcooler 21 and the first intermediate heat exchanger 22, a copper ball valve 24 disposed at a lower end of the second gas-liquid separator 23, a second intermediate heat exchanger 13 disposed at an outer end of the first intermediate heat exchanger 22 and the copper ball valve 24, a first gas-liquid separator 11 disposed at an outer end of the second intermediate heat exchanger 13, a first expansion valve 12 disposed at a lower end of the first gas-liquid separator 11, a second expansion valve 14 disposed at an outer end of the second intermediate heat exchanger 13 and the first expansion valve 12, a first evaporator 19 disposed at an outer end of the second expansion valve 14, a second evaporator 20 disposed at a left end of the first evaporator 19, a second ball valve 18 disposed at an outer end of the second evaporator 19 and a second ball valve 16 disposed at an outer end of the second expansion valve 16 disposed at a second end of the second expansion valve 16, and a vacuum reservoir 18 disposed at an outer end of the second ball valve 18 disposed at the second intermediate heat exchanger 16.
Working principle: in use, the first expansion valve 12 between the first gas-liquid separator 11 and the second intermediate heat exchanger 13 facilitates operation control, so that the second intermediate heat exchanger 13 facilitates heat exchange and separation, the first intermediate heat exchanger 22 and the second intermediate heat exchanger 13 effectively control through the second expansion valve 14, so that the temperature control is more stable through the operation of two heat exchanges, the first evaporator 19 and the second evaporator 20 control, evaporation is facilitated, and the added second storage tank 16 is used for effective storage medium and stable use.
Referring to fig. 3, a flow chart of a method for controlling a cryogenic system for enhanced stability according to an embodiment of the invention is shown, the method comprising the steps of:
S1, introducing a temperature stabilization intelligent regulation algorithm and an environment adaptation dynamic regulation algorithm to process the temperature of a low-temperature system to obtain control parameters, and regulating the control parameters;
in the process of stabilizing and controlling the low-temperature system, aiming at the temperature control of the low-temperature system, the invention firstly introduces a temperature stabilizing intelligent regulating algorithm, collects the temperature of the low-temperature system through a high-precision filter, and the temperature stabilizing intelligent regulating algorithm provides accurate and stable temperature information data, which is the basis of the subsequent algorithm processing; the specific implementation process is as follows:
When real-time temperature data in a low-temperature system are collected, an optimized high-precision moving average filter is used for reducing data noise, improving the accuracy of the data, and obtaining the actual temperature:
，
Wherein, Representative at time point/>Processed temperature data; /(I)Is at the time point/>Is a raw temperature data of (1); is a smoothing parameter, controlling the influence of historical data on the current estimation; /(I) Is a weighting coefficient for adjusting the contribution of the historical data to the current estimate; /(I)Is a weighting coefficient used for enhancing the accuracy of integration of historical temperature data on the current estimation; /(I)Representing the number of historical data; /(I)A time interval representing two consecutive data; /(I)Represents an exponentially weighted integration for smoothing the raw temperature data/>The integral represents the cumulative effect, while the exponential fraction/>Giving more weight to recent data; /(I)Representing a weighted sum for integrating past/>Temperature data of each time point, so that estimation accuracy is improved;
further, aiming at temperature fluctuation caused by environmental change, an environmental adaptation dynamic adjustment algorithm is introduced to rapidly adjust system parameters according to the deviation of the actual temperature and the target temperature so as to cope with short-term fluctuation; the environment adaptation dynamic adjustment algorithm is specifically realized as follows:
，
Wherein, Is at the time point/>For adjusting the cryogenic system in response to temperature changes; /(I)Is the target temperature; /(I)Is an adjustment coefficient for adjusting the response strength to the temperature deviation; /(I)Is an adjustment coefficient for adjusting the influence of the temperature change rate on the control; /(I)A time interval representing the actual temperature and the target temperature for calculating a temperature change rate; for measuring the current temperature/> And target temperature/>A ratio deviation between; /(I)Is the current temperature and previous time/>The difference of the temperatures is used for measuring the temperature change rate;
For the following Is at the time point/>The control parameter may represent a variety of adjustable parameters in the cryogenic system, such as the operating frequency of the compressor, the flow rate of the refrigeration cycle, or other temperature-affecting operating parameters; based on/>The specific adjustment steps are as follows: will/>By converting the preset control strategy according to expert experience method into specific equipment control signals, namely/>Mapping the values of (2) into a specific range to meet the requirements of equipment operation; for the operating frequency of the compressor: if/>Indicating that more cooling is required, increasing the operating frequency of the compressor; if/>Indicating a need to reduce cooling, the operating frequency of the compressor may be reduced; for the flow rate of the refrigeration cycle, according to/>The flow rate of the refrigerant is adjusted to change the efficiency of the refrigeration system.
S2, based on the implementation of a temperature stabilization intelligent regulation algorithm and an environment adaptation dynamic regulation algorithm, recovering heat energy generated in the refrigeration process by using a heat energy recovery technology, constructing an optimal recovery model, and adjusting the operation parameters of a low-temperature system;
Based on the problem of increased energy loss of the refrigerant caused in the implementation process of the temperature stabilization intelligent regulation algorithm and the environment adaptation dynamic regulation algorithm, firstly, heat energy generated in the refrigeration process is recovered by utilizing a heat energy recovery technology, the energy loss is reduced, the recovered heat energy is used for preheating fluid entering a refrigeration system, the demand of the refrigeration system on external energy can be reduced, the energy efficiency is improved, and the heat energy can be converted into electric energy through a thermoelectric conversion device and is used for other parts of the system or fed back to a power grid;
in the heat recovery process, an optimal recovery model is built, and a recovery strategy is formulated so as to reduce energy loss and further ensure the stability of a low-temperature system; the specific implementation process is as follows:
Collecting the individual components for a period of time And analyzing the generated heat energy by considering the influence of environmental factors to obtain the parameter characteristics of the model construction:
，
Wherein, Is/>Time/>, individual components after consideration of environmental adjustmentsTo/>Average thermal energy output within; Represents the/> Individual component at time/>The instantaneous heat energy generated; /(I)Is ambient temperature; /(I)Is the ambient humidity; /(I)Expressed in time window/>Carrying out averaging treatment on heat energy output; /(I)For calculating a total heat energy output over a continuous period of time; /(I)Is a function based on a physical model:
，
Wherein, And/>Is a standard reference value for temperature and humidity,/>And/>The adjustment coefficient is determined according to actual conditions and used for adjusting the influence of ambient temperature and humidity on efficiency; considering the influence of the ambient temperature and humidity on the heat recovery efficiency, when the ambient temperature is higher or lower than the standard temperature, the heat recovery efficiency is reduced; when the ambient humidity is far from the standard value, the heat energy recovery efficiency is also reduced;
further, an objective function of an optimal recovery model is constructed:
，
Wherein, Is an objective function that attempts to find the best balance between maximizing thermal energy recovery benefits and maintaining system stability and safety; /(I)Is an efficiency coefficient representing the/>Efficiency of individual component heat recovery; /(I)Is a punishment factor, and considers the adjustment parameters of the system stability; /(I)Is a penalty term for balancing the relationship between system stability and heat recovery:
，
Wherein, Represents the/>Individual component at time/>Operating parameters such as pressure, flow; /(I)Is/>A maximum safe operating parameter limit set for each component; /(I)Expressed as/>With its maximum value/>The square of the euclidean norm of the vector ratio between, measuring the relative difference of the actual operating parameter from the maximum safety limit; is/> Individual component at time/>Is a change in thermal energy output; /(I)Is/>Maximum heat output capability of individual components; /(I)Is a weighting factor representing the sum of the values for the/>Sensitivity to deviations in individual component operating parameters; /(I)Is a weighting factor reflecting the impact of thermal energy output changes on system stability for adjusting the relative importance in penalty terms;
Defining constraint conditions:
，
Wherein, the system stability constraint: ，/> Representing a system stability index; /(I) Is the maximum allowable value of system stability; thermal energy load limitation: /(I) ，/>Is at time/>Is set at the maximum thermal energy load; operation safety range: /(I) ，/>Is/>Operating parameters of individual Components,/>And/>Minimum and maximum safe ranges of operating parameters, respectively;
and further adopting mixed integer nonlinear programming to solve the optimization problem, obtaining an optimal solution, and adjusting the operation parameters of the low-temperature system according to the optimal solution so as to realize stable control of the low-temperature system.
In summary, a method for controlling a low temperature system with enhanced stability is achieved.
The sequence of the embodiments of the invention is merely for description and does not represent the advantages or disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and the same or similar parts of each embodiment are referred to each other, and each embodiment mainly describes differences from other embodiments.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (6)
1. A method of controlling a cryogenic system for enhanced stability comprising the steps of:
S1, introducing a temperature stabilization intelligent regulation algorithm to collect temperature data, wherein the specific implementation process is as follows:
noise reduction treatment is carried out on the temperature data through a moving average filter, so that the actual temperature is obtained:
，
Wherein, Representative at time point/>Processed temperature data; /(I)Is at the time point/>Is a raw temperature data of (1); /(I)Is a smoothing parameter; /(I)Is a weighting coefficient for adjusting the contribution of the historical data to the current estimate; /(I)Is a weighting coefficient used for enhancing the accuracy of integration of historical temperature data on the current estimation; /(I)Representing the number of historical data; /(I)A time interval representing two consecutive data;
an environment adaptation dynamic regulation algorithm is introduced, and control parameters of a low-temperature system are regulated according to the deviation of the actual temperature and the target temperature, and the method is specifically realized as follows:
，
Wherein, Is at the time point/>Control parameters of (2); /(I)Is the target temperature; /(I)Is an adjustment coefficient for adjusting the response strength to the temperature deviation; /(I)Is an adjustment coefficient for adjusting the influence of the temperature change rate on the control; /(I)A time interval representing an actual temperature and a target temperature;
S2, based on the implementation of a temperature stabilization intelligent regulation algorithm and an environment adaptation dynamic regulation algorithm, recovering heat energy generated in the refrigeration process by using a heat energy recovery technology, constructing an optimal recovery model, and constructing an objective function of the optimal recovery model in the implementation process of the optimal recovery model, wherein the objective function specifically comprises the following steps:
，
Wherein, Is an objective function for finding an optimal balance between maximizing thermal energy recovery benefits and maintaining system stability and safety; /(I)Is an efficiency coefficient representing the/>Efficiency of individual component heat recovery; /(I)Is a punishment factor, and considers the adjustment parameters of the system stability; /(I)Is a penalty term for balancing the relationship between system stability and thermal energy recovery; and further obtaining an optimal solution of the objective function, and further adjusting the operation parameters of the low-temperature system.
2. The method of controlling a low temperature system for enhancing stability according to claim 1, further comprising, at S1:
when the control parameters are adjusted, the control parameters are converted into equipment control signals so as to control the low-temperature system.
3. The method for controlling a low temperature system for enhancing stability according to claim 1, wherein S2 specifically comprises:
In the process of implementing the temperature stabilization intelligent regulation algorithm and the environment adaptation dynamic regulation algorithm, the heat energy generated in the refrigeration process is recovered by utilizing a heat energy recovery technology.
4. The method of controlling a low temperature system for enhancing stability according to claim 1, further comprising, at S2:
in the implementation process of the optimal recovery model, collecting heat energy generated by each component, and simultaneously analyzing the influence of environmental factors to obtain the parameter characteristics of the construction of the optimal recovery model, wherein the specific implementation process is as follows:
，
Wherein, Is/>Time/>, of individual components after context-based adjustmentTo/>Average thermal energy output within; /(I)Represents the/>Individual component at time/>The instantaneous heat energy generated; /(I)Is ambient temperature; /(I)Is the ambient humidity; /(I)Expressed in time window/>Carrying out averaging treatment on heat energy output; /(I)For calculating a total heat energy output over a continuous period of time; /(I)Is a function based on a physical model;
，
Wherein, And/>Is a standard reference value for temperature and humidity,/>And/>Is an adjustment factor for adjusting the effect of ambient temperature and humidity on efficiency.
5. The method of controlling a low temperature system for enhancing stability according to claim 4, further comprising, at S2:
Defining constraint conditions in the implementation process of the optimal recovery model; the constraints include system stability constraints, thermal energy load limitations, and operational safety ranges.
6. The method of controlling a low temperature system for enhancing stability according to claim 1, further comprising, at S2:
in the implementation process of the optimal recovery model, an optimal solution of the objective function is obtained by adopting mixed integer nonlinear programming, and the operation parameters of the low-temperature system are adjusted according to the optimal solution.
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