Intelligent temperature control wound tube type heat exchanger operation optimization method and device

Abstract

The invention discloses an intelligent temperature control wound tube type heat exchanger operation optimization method and device, and relates to the data processing related field, and the method comprises the steps: determining a first heat exchange fluid and a second heat exchange fluid of a wound tube type heat exchanger; performing temperature and flow state monitoring to generate a first monitoring data set and a second monitoring data set; judging whether the temperature control of the first heat exchange fluid has dominant abnormity or not based on the first monitoring data set, and if yes, constructing a first flowing terminal temperature based on an actual heat exchange target; calling a dual equilibrium constraint module to perform flow optimization of the first heat exchange fluid and temperature and flow optimization of the second heat exchange fluid to generate optimized heat exchange control parameters; and sending to a control terminal for control optimization. The technical problems of response lag, inaccurate optimization control and unreliable optimization result in operation optimization of the existing wound tube type heat exchanger are solved, and the technical effects of improving the response speed, realizing accurate optimization control and improving the reliability of the optimization result are achieved.

Description

Technical Field

[0001] This application relates to the field of data processing, and particularly to a method and device for optimizing the operation of a shell-and-tube heat exchanger with intelligent temperature control. Background Art

[0002] In many fields such as industrial production, energy utilization, and environmental protection, heat exchange technology plays a crucial role. As an efficient compact heat exchanger, the shell-and-tube heat exchanger has been widely used in industries such as petrochemical, power production, pharmaceutical, food and beverage, and refrigeration and air-conditioning systems due to its advantages of compact structure, large heat transfer area per unit volume, and high heat transfer efficiency. During operation, the actual heat exchange effect of the shell-and-tube heat exchanger often fails to fully meet expectations. In the face of this situation, operators usually manually adjust parameters such as the flow rate and temperature of the heat exchange fluid based on experience or monitoring data for improvement. However, manual parameter adjustment depends on the experience and judgment of the operator, the optimization effect is difficult to guarantee, and the adjustment process takes time, resulting in a response lag and an inability to respond promptly to changes in working conditions.

[0003] In the current related technologies, there are technical problems in the operation optimization of the shell-and-tube heat exchanger, such as response lag, inaccurate optimization control, and unreliable optimization results. Summary of the Invention

[0004] This application provides a method and device for optimizing the operation of a shell-and-tube heat exchanger with intelligent temperature control. By determining the first heat exchange fluid and the second heat exchange fluid of the shell-and-tube heat exchanger, monitoring the temperature and flow state of the first heat exchange fluid and the second heat exchange fluid through a heat exchange monitoring module to generate a first monitoring data set and a second monitoring data set, judging whether there is an obvious abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set. If so, constructing a first flow end temperature based on the actual heat exchange target, and calling a dual equilibrium constraint module to perform flow optimization of the first heat exchange fluid, as well as temperature and flow optimization of the second heat exchange fluid based on the first flow end temperature, the first monitoring data set, and the second monitoring data set to generate optimized heat exchange control parameters, and sending the optimized heat exchange control parameters to the control terminal of the shell-and-tube heat exchanger to perform control optimization on the first heat exchange fluid and the second heat exchange fluid and other technical means, achieving the technical effects of improving the response speed, realizing precise optimization control, and improving the reliability of the optimization results.

[0005] The present application provides an operation optimization method for a shell-and-tube heat exchanger with intelligent temperature control, including: determining a first heat exchange fluid and a second heat exchange fluid of the shell-and-tube heat exchanger, where the first heat exchange fluid is the fluid that needs temperature control, and the second heat exchange fluid is the heat exchange medium; monitoring the temperature and flow state of the first heat exchange fluid and the second heat exchange fluid to generate a first monitoring data set and a second monitoring data set; judging whether there is an obvious abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set, and if so, constructing a first flow end temperature based on the actual heat exchange target; calling a dual equilibrium constraint module to perform flow optimization of the first heat exchange fluid, as well as temperature and flow optimization of the second heat exchange fluid based on the first flow end temperature, the first monitoring data set and the second monitoring data set to generate optimized heat exchange control parameters; sending the optimized heat exchange control parameters to the control terminal of the shell-and-tube heat exchanger to perform control optimization on the first heat exchange fluid and the second heat exchange fluid.

[0006] In a possible implementation manner, when calling the dual equilibrium constraint module to perform flow optimization of the first heat exchange fluid, as well as temperature and flow optimization of the second heat exchange fluid based on the first flow end temperature, the first monitoring data set and the second monitoring data set to generate optimized heat exchange control parameters, the following processing is performed: configuring first flow parameter constraint information of the first heat exchange fluid and second flow parameter constraint information of the second heat exchange fluid; constructing a first flow parameter selection space and a second flow parameter selection space under the constraints of the first flow parameter constraint information and the second flow parameter constraint information; taking the first flow end temperature as the first target and a preset heat exchange efficiency optimization direction as the second target, and performing equilibrium optimization of the first heat exchange fluid and the second heat exchange fluid through the dual equilibrium constraint module in the first flow parameter selection space and the second flow parameter selection space to generate the optimized heat exchange control parameters.

[0007] In a possible implementation manner, when configuring the first flow parameter constraint information of the first heat exchange fluid and the second flow parameter constraint information of the second heat exchange fluid, the following processing is performed: obtaining the heat exchange pipe structure information of the shell-and-tube heat exchanger; determining first material information of the fluid flow space of the first heat exchange fluid and second material information of the fluid flow space of the second heat exchange fluid based on the heat exchange pipe structure information; determining first phase change information of the first heat exchange fluid and second phase change information of the second fluid under the action of heat exchange; combining the first material information and the first phase change information to perform constraints on fluid pressure and flow rate to generate the first flow parameter constraint information; combining the second material information and the second phase change information to perform constraints on fluid temperature, fluid pressure and flow rate to generate the second flow parameter constraint information.

[0008] In a possible implementation, with the first flow end temperature as the first target and the preset heat exchange efficiency optimization direction as the second target, within the first flow parameter selection space and the second flow parameter selection space, the dual equilibrium constraint module performs equilibrium optimization of the first heat exchange fluid and the second heat exchange fluid to generate the optimized heat exchange control parameters, and the following processing is executed: Collect the modeling information of the shell-and-tube heat exchanger, perform digital modeling to generate a digital heat exchanger model; Based on the first flow parameter selection space, initialize the flow parameters, and through the digital heat exchanger model, perform heat exchange simulation based on the second flow parameter selection space to construct multiple sets of heat exchange control parameters that meet the first target and the second target; Select a set of heat exchange control parameters with the maximum heat exchange efficiency from the multiple sets of heat exchange control parameters to generate the optimized heat exchange control parameters.

[0009] In a possible implementation, based on the first flow parameter selection space, initialize the flow parameters, and through the digital heat exchanger model, perform heat exchange simulation based on the second flow parameter selection space to construct multiple sets of heat exchange control parameters that meet the first target and the second target, and the following processing is executed: Randomly generate the first flow parameters within the first flow parameter selection space, and perform heat exchange simulation through the digital heat exchanger model to obtain the second flow parameters within the second flow parameter selection space that meet the first target and the second target; Generate the first set of heat exchange control parameters with the first flow parameters and the second flow parameters, and add them to the multiple sets of heat exchange control parameters.

[0010] In a possible implementation, based on the first monitoring data set, determine whether there is an obvious abnormality in the temperature control of the first heat exchange fluid. If so, construct the first flow end temperature based on the actual heat exchange target, and the following processing is executed: Determine the heat exchange method of the shell-and-tube heat exchanger, where the heat exchange method includes concurrent flow heat exchange and countercurrent flow heat exchange; Locate the outlet temperature of the first heat exchange fluid in the first monitoring data set based on the heat exchange method; Judge whether the outlet temperature meets the actual heat exchange target. If so, there is an obvious abnormality, and generate the first flow end temperature with the actual heat exchange target.

[0011] In a possible implementation, based on the first monitoring data set, determine whether there is an obvious abnormality in the temperature control of the first heat exchange fluid, and the following processing is also executed: If there is no obvious abnormality in the temperature control of the first heat exchange fluid, perform heat exchange efficiency identification based on the first monitoring data set and the second monitoring data set to generate a heat exchange efficiency index; If the heat exchange efficiency index is less than the preset index, call the dual equilibrium constraint module to perform flow optimization of the first heat exchange fluid, as well as temperature and flow optimization of the second heat exchange fluid.

[0012] The present application also provides an operation optimization device for a shell-and-tube heat exchanger with intelligent temperature control, including: a heat exchange fluid determination module for determining a first heat exchange fluid and a second heat exchange fluid of the shell-and-tube heat exchanger, where the first heat exchange fluid is the fluid that needs temperature control, and the second heat exchange fluid is the heat exchange medium; a heat exchange monitoring module for monitoring the temperature and flow state of the first heat exchange fluid and the second heat exchange fluid to generate a first monitoring data set and a second monitoring data set; a first flow end temperature construction module for judging whether there is an obvious abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set. If so, constructing a first flow end temperature based on the actual heat exchange target; a dual equilibrium constraint module for performing flow optimization of the first heat exchange fluid, as well as temperature and flow optimization of the second heat exchange fluid based on the first flow end temperature, the first monitoring data set, and the second monitoring data set to generate optimized heat exchange control parameters; a control optimization module for sending the optimized heat exchange control parameters to the control terminal of the shell-and-tube heat exchanger to perform control optimization on the first heat exchange fluid and the second heat exchange fluid.

[0013] It is intended to propose an operation optimization method and device for a shell-and-tube heat exchanger with intelligent temperature control according to the present application. First, determine the first heat exchange fluid and the second heat exchange fluid of the shell-and-tube heat exchanger, where the first heat exchange fluid is the fluid that needs temperature control, and the second heat exchange fluid is the heat exchange medium. Then, monitor the temperature and flow state of the first heat exchange fluid and the second heat exchange fluid through the heat exchange monitoring module to generate a first monitoring data set and a second monitoring data set. Then, judge whether there is an obvious abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set. If so, construct a first flow end temperature based on the actual heat exchange target. Then, call the dual equilibrium constraint module to perform flow optimization of the first heat exchange fluid, as well as temperature and flow optimization of the second heat exchange fluid based on the first flow end temperature, the first monitoring data set, and the second monitoring data set to generate optimized heat exchange control parameters. Finally, send the optimized heat exchange control parameters to the control terminal of the shell-and-tube heat exchanger to perform control optimization on the second heat exchange fluid, achieving the technical effects of improving the response speed, realizing precise optimization control, and improving the reliability of the optimization result. Brief Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly introduced below. Flowcharts are used in the present application to illustrate the operations performed by the device according to the embodiments of the present application. It should be understood that the operations in the front or below do not necessarily need to be executed precisely in sequence. On the contrary, according to the need, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0015] Figure 1Schematic flowchart of an operation optimization method for a coiled tube heat exchanger with intelligent temperature control provided by an embodiment of the present application.

[0016] Figure 2 Schematic structural diagram of an operation optimization device for a coiled tube heat exchanger with intelligent temperature control provided by an embodiment of the present application.

[0017] Explanation of reference numerals: heat transfer fluid determination module 10, heat transfer monitoring module 20, first flow end temperature construction module 30, dual equilibrium constraint module 40, control optimization module 50. Detailed implementation manners

[0018] The above description is only an overview of the technical solution of the present application. In order to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0019] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0020] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first\second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or server including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0021] An embodiment of the present application provides an operation optimization method for a coiled tube heat exchanger with intelligent temperature control. As Figure 1 shown, the method includes:

[0022] Step S100, determine the first heat transfer fluid and the second heat transfer fluid of the coiled tube heat exchanger, where the first heat transfer fluid is the fluid that needs temperature control, and the second heat transfer fluid is the heat transfer medium.

[0023] Specifically, based on the requirements in the actual industrial or operation process, determine which fluid needs to be temperature-controlled. For example, in a chemical plant, the reaction liquid that needs to be heated or cooled is the first heat exchange fluid. Determine the second heat exchange fluid, which is a heat transfer medium used to transfer heat. According to actual requirements, it can be a heating fluid (such as hot water, steam) or a cooling fluid (such as cold water, coolant).

[0024] Step S200: Monitor the temperatures and flow states of the first heat exchange fluid and the second heat exchange fluid to generate a first monitoring data set and a second monitoring data set.

[0025] Specifically, collect the temperature, flow rate, and flow velocity data of the fluid at multiple positions in the pipeline through sensors to generate a first monitoring data set and a second monitoring data set. That is, the monitoring data set contains fluid temperature and flow state data. The following is a specific example: A certain chemical plant needs to control the temperature of the reaction liquid (target: 80 ± 2 °C) using a shell-and-tube heat exchanger (the reaction liquid flows through the tubes and the cooling water flows through the shell). Among them, the first heat exchange fluid (requiring temperature control): reaction liquid (acrylate mixture, inlet temperature about 95 °C, outlet to be controlled at 80 °C). The second heat exchange fluid (heat transfer medium): cooling water (recycled, inlet temperature 25 °C, outlet temperature ≤ 45 °C). The temperature sensor layout is shown in Table 1:

[0026] Table 1: Temperature Sensor Layout Parameters

[0027]

[0028]

[0029] Table 2 is the temperature example data record table (1-minute average):

[0030] Table 2: Fluid Temperature Data

[0031]

[0032] The flow monitoring sensor layout is shown in Table 3:

[0033] Table 3: Flow Monitoring Sensor Layout Parameters

[0034]

[0035] Table 4 is the flow state example data record table (1-minute average):

[0036] Table 4: Fluid Flow State Data

[0037]

[0038]

[0039] Step S300: Determine whether there is an obvious abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set. If so, construct the first flowing end temperature based on the actual heat exchange target.

[0040] Specifically, by comparing the first monitoring data set with the preset temperature control standard or threshold, determine whether there is an obvious abnormality in the temperature control of the first heat exchange fluid, that is, an abnormality that significantly deviates from the normal or expected state. If there is an obvious abnormality, construct the first flowing end temperature according to the actual heat exchange target (such as the expected temperature range), that is, the expected temperature of the first heat exchange fluid when flowing out of the heat exchanger. After generating the first flowing end temperature, directly enter S400 for optimization (at this time, with the new temperature as the target). If there is no obvious abnormality (the temperature reaches the standard but the efficiency is low), call S400 for optimization through S350 (at this time, with the original temperature as the target to optimize the efficiency). That is, whether there is an obvious abnormality or not, S400 performs multi-objective optimization based on the dual equilibrium constraint module, and the difference lies only in the source of the initial target temperature.

[0041] In a possible implementation manner, to determine whether there is an obvious abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set and construct the first flowing end temperature if so, step S300 further includes step S310: Determine the heat exchange mode of the shell-and-tube heat exchanger, where the heat exchange mode includes concurrent flow heat exchange and countercurrent flow heat exchange. Specifically, based on the design and operation manual of the heat exchanger, clarify the heat exchange mode of the shell-and-tube heat exchanger. The heat exchange mode is divided into concurrent flow heat exchange and countercurrent flow heat exchange. Concurrent flow heat exchange means that the two fluids flow in the same direction in the heat exchanger, and the heat transfer efficiency is relatively low. Countercurrent flow heat exchange means that the two fluids flow in opposite directions in the heat exchanger, and the heat transfer efficiency is relatively high.

[0042] Step S320: Locate the outlet temperature of the first heat exchange fluid in the first monitoring data set based on the heat exchange mode. Specifically, in the first monitoring data set that has been collected, find the outlet temperature data of the first heat exchange fluid according to the heat exchange mode. For concurrent flow heat exchange, the outlet temperature is located at the end of the monitoring data set; for countercurrent flow heat exchange, although the outlet temperature is also located at the end, the temperature distribution characteristics will be different. Accurately extract the outlet temperature value of the first heat exchange fluid from the data set.

[0043] Step S330: Determine whether the outlet temperature meets the actual heat exchange target. If so, there is an obvious abnormality, and the first flowing end temperature is generated based on the actual heat exchange target. Specifically, compare the extracted outlet temperature with the actual heat exchange target. The actual heat exchange target is the expected temperature range set according to the process requirements. If the outlet temperature is not within the actual heat exchange target range, it is determined that there is an obvious abnormality in the temperature control. Based on the actual heat exchange target, the first flowing end temperature is generated, which is the temperature that the first heat exchange fluid is expected to reach when flowing out of the heat exchanger. This implementation method accurately determines whether there is an abnormality in the temperature control by locating the outlet temperature of the first heat exchange fluid and comparing it with the actual heat exchange target. After determining the temperature control abnormality, the first flowing end temperature is generated based on the actual heat exchange target, providing a clear target for the subsequent optimization of the heat exchange control parameters, which helps to intelligently adjust the control parameters and achieve a more efficient heat exchange process.

[0044] In a possible implementation, based on the first monitoring data set, determine whether there is an obvious abnormality in the temperature control of the first heat exchange fluid. The method further includes step S340. If there is no obvious abnormality in the temperature control of the first heat exchange fluid, identify the heat exchange efficiency based on the first monitoring data set and the second monitoring data set, and generate a heat exchange efficiency index. Specifically, use the first monitoring data set and the second monitoring data set to calculate the heat exchange efficiency of the shell-and-tube heat exchanger. The heat exchange efficiency is a proportional value that reflects the relationship between the actually transferred heat and the theoretically maximum transferred heat, and is calculated by comparing the difference between the input heat and the output heat. It can also be estimated based on the temperature change, flow rate of the fluid, and the design parameters of the heat exchanger (such as heat exchange area, thermal conductivity, etc.). Compare the calculated heat exchange efficiency with a preset benchmark or standard to generate a heat exchange efficiency index, which is in percentage form and represents the ratio of the actual heat exchange efficiency to the ideal or expected heat exchange efficiency.

[0045] Step S350: If the heat exchange efficiency index is less than the preset index, call the dual equilibrium constraint module to optimize the flow of the first heat exchange fluid, as well as the temperature and flow of the second heat exchange fluid. Specifically, the heat exchange efficiency index generated in step S340 is used to determine whether the performance of the heat exchanger meets the requirements. If the heat exchange efficiency index is less than the preset index (i.e., lower than the expected performance), optimization measures need to be taken. In this case, call the dual equilibrium constraint module for further optimization. This module is an algorithm or model for finding the optimal solution under multiple constraint conditions, which is used to consider multiple factors such as heat exchange efficiency, fluid flow stability, and energy consumption simultaneously to find the optimal heat exchange control parameters (parameters for controlling the operation of the heat exchanger, such as the flow rate, flow velocity, and temperature of the fluid). Based on the output of the dual equilibrium constraint module, adjust the flow parameters (such as flow rate and flow velocity) of the first heat exchange fluid and the temperature and flow parameters of the second heat exchange fluid to improve the heat exchange efficiency. Even if there is no obvious abnormality in the temperature control of the first heat exchange fluid, there may be potential energy efficiency losses. This implementation method can timely detect and solve these problems by regularly evaluating the heat exchange efficiency, prevent potential failures, and thus ensure that the shell-and-tube heat exchanger operates in a high-efficiency and stable state, improving the overall energy efficiency and reliability.

[0046] Step S400: Call the dual equilibrium constraint module to optimize the flow of the first heat exchange fluid, as well as the temperature and flow of the second heat exchange fluid based on the first flow end temperature, the first monitoring data set, and the second monitoring data set, and generate optimized heat exchange control parameters. Specifically, the dual equilibrium constraint module is a module integrating optimization algorithms and constraint conditions, which is used to achieve the flow and temperature optimization of the first heat exchange fluid and the second heat exchange fluid while ensuring that the first flow end temperature is met. The module will calculate the optimal heat exchange control parameters, including fluid flow velocity, flow direction, and temperature, according to the first flow end temperature, the first monitoring data set, and the second monitoring data set.

[0047] Call the dual equilibrium constraint module to perform flow optimization of the first heat exchange fluid, as well as temperature and flow optimization of the second heat exchange fluid, based on the first flow end temperature, the first monitoring data set, and the second monitoring data set, and generate optimized heat exchange control parameters. Step S400 specifically includes step S410 of configuring the first flow parameter constraint information of the first heat exchange fluid and the second flow parameter constraint information of the second heat exchange fluid. Specifically, the flow parameter constraint information is determined comprehensively based on various factors such as actual operating conditions, equipment limitations, and safety specifications. Among them, the constraint information of the first heat exchange fluid mainly focuses on flow parameters such as flow rate and pressure. The magnitude of the flow rate directly affects the heat exchange rate, while the pressure is related to the conveying energy consumption of the fluid and the safe operation of the equipment. These constraint information are set according to process requirements, equipment design parameters, etc. In addition to flow rate and pressure, the second heat exchange fluid also needs to consider temperature constraints. Because the temperature of the second heat exchange fluid directly determines its heat exchange capacity, too high or too low temperature may lead to a decrease in heat exchange efficiency or equipment damage. These temperature constraints are determined according to the design parameters of the heat exchanger, the physical properties of the medium, and the heat exchange target.

[0048] Step S420, under the constraints of the first flow parameter constraint information and the second flow parameter constraint information, construct the first flow parameter selection space and the second flow parameter selection space. Specifically, based on the constraint information configured in step S410, construct the flow parameter selection spaces of the first heat exchange fluid and the second heat exchange fluid. The flow parameter selection space is a set of all possible flow parameters defined within the flow parameter ranges of the first heat exchange fluid and the second heat exchange fluid. These selection spaces are the basis for the optimization algorithm to search for the optimal solution. According to the constraint information such as the flow rate and pressure of the first heat exchange fluid, determine its possible value range to form the first flow parameter selection space. Similarly, according to the constraint information such as the flow rate, pressure, and temperature of the second heat exchange fluid, determine its possible value range to form the second flow parameter selection space.

[0049] Step S430: With the first flowing end temperature as the first target and the preset heat transfer efficiency optimization direction as the second target, within the first flow parameter selection space and the second flow parameter selection space, perform the equilibrium optimization of the first heat exchange fluid and the second heat exchange fluid through the dual equilibrium constraint module to generate the optimized heat exchange control parameters. Specifically, the first target is to reach the preset first flowing end temperature, which is the core requirement of temperature control; the second target is to improve the heat transfer efficiency as much as possible (such as increasing the heat transfer rate and reducing the pressure drop loss) under the condition of meeting the temperature constraint. That is, the preset heat transfer efficiency optimization direction is the direction in which the heat transfer efficiency increases. Taking the heat transfer efficiency corresponding to the currently used flow parameters as a reference, perform the optimization in the direction of increasing the heat transfer efficiency. Search within the flow parameter selection space constructed in step S420 through the multi-objective optimization algorithm (non-dominated sorting genetic algorithm) in the dual equilibrium constraint module to find the flow parameter combination that can satisfy both targets. This process includes multiple iterations and evaluations until the optimal solution is found or the preset convergence condition is reached. Finally, according to the result of the optimized search, generate the optimized heat exchange control parameters including the optimal flow parameters of the first heat exchange fluid and the second heat exchange fluid.

[0050] With the first flowing end temperature as the first target and the preset heat transfer efficiency optimization direction as the second target, within the first flow parameter selection space and the second flow parameter selection space, perform the equilibrium optimization of the first heat exchange fluid and the second heat exchange fluid through the dual equilibrium constraint module to generate the optimized heat exchange control parameters. Step S430 specifically includes step S431: Collect the modeling information of the shell-and-tube heat exchanger, perform digital modeling, and generate a digital heat exchanger model. Specifically, collect the detailed structural information, material information, fluid characteristics, etc. of the shell-and-tube heat exchanger, which are the basis for modeling. Use professional 3D modeling software (such as SolidWorks, AutoCAD, etc.) or fluid simulation software (such as ANSYS Fluent, COMSOL Multiphysics, etc.) to construct a 3D digital model of the shell-and-tube heat exchanger according to the collected data. In the digital model, accurately simulate the geometric shape of the heat exchanger, the pipeline layout, the fluid flow path, etc., and set the corresponding physical properties (such as material thermal conductivity, fluid heat capacity, etc.). For accurate numerical simulation, perform mesh division on the digital model, that is, divide the model into multiple small calculation units, and the physical processes within each unit can be calculated independently. Export the digital heat exchanger model for simulating the heat exchange process.

[0051] Step S432: Initialize the flow parameters based on the first flow parameter selection space, and perform heat transfer simulation through the digital heat exchanger model based on the second flow parameter selection space to construct multiple sets of heat transfer control parameters that meet the first objective and the second objective. Specifically, use fluid dynamics simulation software to perform heat transfer simulation based on the digital heat exchanger model. By changing the flow parameters (such as flow rate, flow velocity, temperature, etc.) of the first heat transfer fluid and the second heat transfer fluid, simulate the heat transfer process under different working conditions. Randomly or according to certain rules, initialize the flow parameters of the first heat transfer fluid within the first flow parameter selection space. At the same time, corresponding initialization is also performed within the second flow parameter selection space. Adopt a multi-objective optimization algorithm to continuously iterate and optimize the flow parameters on the basis of the simulation to simultaneously meet the objectives of the first flow end temperature and maximizing the heat transfer efficiency, and obtain multiple sets of heat transfer control parameters.

[0052] Step S433: Select a set of heat transfer control parameters with the maximum heat transfer efficiency from the multiple sets of heat transfer control parameters to generate the optimized heat transfer control parameters. Specifically, for each set of heat transfer control parameters, calculate its corresponding heat transfer efficiency. Among the multiple sets of heat transfer control parameters found, select a set with the maximum heat transfer efficiency as the optimal solution, and output the optimal heat transfer control parameters to guide the actual operation of the shell-and-tube heat exchanger.

[0053] In a possible implementation, configure the first flow parameter constraint information of the first heat transfer fluid and the second flow parameter constraint information of the second heat transfer fluid. Step S410 further includes step S411: Obtain the heat exchange pipe structure information of the shell-and-tube heat exchanger. Specifically, use means such as sensors, design drawings, or digital models to obtain the detailed structure information of the shell-and-tube heat exchanger. This information includes, but is not limited to, the diameter, length, bending radius, material type, and pipe layout of the pipes.

[0054] Step S412: Determine the first material information of the fluid flow space of the first heat transfer fluid and the second material information of the fluid flow space of the second heat transfer fluid based on the heat exchange pipe structure information. Specifically, based on the heat exchange pipe structure information obtained in step S411, determine the material information of the pipe spaces where the first heat transfer fluid and the second heat transfer fluid flow respectively. Different materials have different characteristics such as thermal conductivity, corrosion resistance, and pressure-bearing capacity.

[0055] For example, if the first heat exchange fluid (e.g., the process gas to be heated) flows entirely inside a pipe made of stainless steel. In this case, the first material information refers to the material properties of this stainless steel pipe, including but not limited to its thermal conductivity, corrosion resistance, pressure-bearing capacity, etc. These properties are crucial for determining the constraint conditions of fluid pressure and flow rate. The thermal conductivity and pressure-bearing capacity of stainless steel directly affect the heat transfer efficiency and safety of the fluid inside the pipe.

[0056] If the first heat exchange fluid (e.g., the industrial wastewater to be cooled) flows in the annular space between a thick pipe and a thin pipe. The thick pipe and the thin pipe are made of different materials respectively. For example, the thick pipe is made of stainless steel and the thin pipe is made of copper. In this case, the first material information needs to consider the material properties of both the thick pipe and the thin pipe simultaneously. Stainless steel has good corrosion resistance and relatively high pressure-bearing capacity. However, the pressure-bearing capacity of copper is relatively low. When the first heat exchange fluid flows in the annular space between the thick pipe and the thin pipe, it comes into contact with both materials at the same time. When setting the constraint conditions of fluid pressure and flow rate, it is necessary to comprehensively consider the material properties of the thick pipe and the thin pipe. For example, if the fluid pressure is too high, it may exceed the pressure-bearing limit of the thin pipe, resulting in the rupture or leakage of the thin pipe. Similarly, if the fluid flow rate is too large, it may increase the scouring effect of the fluid on the pipe wall, thereby accelerating the wear and corrosion of the pipe.

[0057] Step S413, determine the first phase change information of the first heat exchange fluid and the second phase change information of the second fluid under the heat exchange effect. Specifically, analyze whether the first heat exchange fluid and the second heat exchange fluid will undergo phase changes (such as the transformation from liquid to gas or from gas to liquid) during the heat exchange process. For example, using the principles of thermodynamics, calculate the temperature change and phase change points of the fluid during the heat exchange process, or refer to the heat exchange experimental data of similar fluids to evaluate the conditions for phase change to occur.

[0058] Step S414, combine the first material information and the first phase change information to perform constraints on the fluid pressure and flow rate, and generate the first flow parameter constraint information. Specifically, combine the material information and phase change information of the flow space of the first heat exchange fluid to perform constraints on the fluid pressure and flow rate to ensure the safe and stable flow of the fluid inside the pipe while meeting the requirements of heat exchange efficiency. Specifically, according to the pressure-bearing capacity and corrosion resistance of the material, set the upper and lower limits of the fluid pressure; consider the influence of phase change on the fluid flow characteristics and adjust the constraint conditions of the flow rate. Integrate the analysis results of material properties and phase change effects into the first flow parameter constraint information.

[0059] Step S415: Combine the second material information and the second phase change information to perform constraints on the fluid temperature, fluid pressure, and flow rate, generating second flow parameter constraint information. Specifically, similarly, combine the material information and phase change information of the flow space of the second heat exchange fluid to perform constraints on the fluid temperature, pressure, and flow rate to ensure that the second heat exchange fluid can effectively transfer heat while maintaining the safe operation of the pipeline. Specifically, according to the thermal conductivity and temperature resistance of the material, set the upper and lower limits of the fluid temperature. Similar to step S414, consider the pressure-bearing capacity of the material and the fluid flow characteristics to set the constraint conditions for pressure and flow rate. Integrate the constraint conditions of temperature, pressure, and flow rate into the second flow parameter constraint information. This implementation method can more effectively set the constraint conditions of the flow parameters by accurately analyzing the phase change and material characteristics of the fluid during the heat exchange process, thereby optimizing the heat exchange process and improving the heat exchange efficiency.

[0060] In a possible implementation manner, perform flow parameter initialization based on the first flow parameter selection space, and perform heat exchange simulation through the digital heat exchanger model based on the second flow parameter selection space to construct multiple groups of heat exchange control parameters that meet the first target and the second target. Step S432 further includes step S4321: randomly generate first flow parameters within the first flow parameter selection space, and perform heat exchange simulation through the digital heat exchanger model to obtain second flow parameters that are within the second flow parameter selection space and meet the first target and the second target. Specifically, use a random number generator to randomly generate a set of flow parameters of the first heat exchange fluid within the first flow parameter selection space (such as the value range of parameters such as flow rate and pressure). Input the generated first flow parameters into the digital heat exchanger model, use heat exchange simulation software to perform simulation, simulate the heat exchange process, and find multiple second flow parameters that can meet the first target (i.e., the first flow end temperature) within the second flow parameter selection space (i.e., the possible flow parameter range of the second heat exchange fluid) through heat exchange simulation. For each second flow parameter that meets the first target found, calculate its corresponding heat exchange efficiency based on the simulation results of the digital heat exchanger model. Select the one with the maximum heat exchange efficiency as the final second flow parameter from all the second flow parameters that meet the first target and whose heat exchange efficiency has been calculated.

[0061] Step S4322: Generate a first set of heat exchange control parameters using the first flow parameter and the second flow parameter, and add them to the multiple sets of heat exchange control parameters. Specifically, combine the selected second flow parameter with the corresponding first flow parameter to form a complete set of heat exchange control parameters. Repeat steps S4321 and S4322 multiple times. Each time, randomly generate a new first flow parameter, find the second flow parameter that meets the conditions, and then select the optimal one from them to form multiple sets of heat exchange control parameters, thereby obtaining a set containing multiple sets of potentially optimal heat exchange control parameters. This implementation method can explore various possibilities within the first flow parameter selection space by randomly generating the first flow parameter, increasing the chance of finding more optimal heat exchange control parameters.

[0062] Step S500: Send the optimized heat exchange control parameters to the control terminal of the shell-and-tube heat exchanger to optimize the control of the first heat exchange fluid and the second heat exchange fluid.

[0063] Specifically, send the calculated optimized heat exchange control parameters to the control terminal of the shell-and-tube heat exchanger (a device or system for receiving and executing control instructions) through a communication protocol. The communication protocol uses an industrial standard protocol. The hardware of the control terminal includes a programmable logic controller (PLC), a distributed control system (DCS), a human-machine interface, and actuators. Among them, the programmable logic controller is used to receive the optimized parameters and drive field devices (such as valves, pumps, heaters); the human-machine interface is used to display real-time data, alarm information, and control parameters, and supports manual intervention; the actuators include flow regulating valves (such as electric ball valves, pneumatic butterfly valves), frequency converters (adjust the speed of the pump to change the flow rate), and temperature controllers (such as PID controllers). The control terminal adjusts the flow of the first heat exchange fluid, the flow and temperature of the second heat exchange fluid according to the received optimized parameters to achieve the desired heat exchange effect. The parameter distribution and execution process are as follows: Optimized heat exchange control parameters (flow rate, flow velocity, temperature) → PLC / DCS → Actuators (valves, frequency converters, temperature controllers) → Field device actions. Example: If the optimized heat exchange control parameter requires the cooling water flow velocity to be increased from 0.8 m / s to 0.9 m / s, the DCS will send an instruction to the frequency converter to adjust the speed of the cooling water pump. If the optimized parameter requires the reaction liquid flow rate to be increased from 4.8 m 3 / h to 5.0 m 3 / h, the PLC will open the proportional valve to adjust the opening of the electromagnetic flowmeter. In the embodiment of the present application, the first heat exchange fluid and the second heat exchange fluid of the shell-and-tube heat exchanger are determined, the temperature and flow state of the first heat exchange fluid and the second heat exchange fluid are monitored, the first monitoring data set and the second monitoring data set are generated, and based on the first monitoring data set, it is judged whether there is an obvious abnormality in the temperature control of the first heat exchange fluid. If so, the first flow end temperature is constructed based on the actual heat exchange target, and the dual equilibrium constraint module is called to perform the flow optimization of the first heat exchange fluid, as well as the temperature and flow optimization of the second heat exchange fluid based on the first flow end temperature, the first monitoring data set and the second monitoring data set, generate the optimized heat exchange control parameters, send the optimized heat exchange control parameters to the control terminal of the shell-and-tube heat exchanger, and perform control optimization on the first heat exchange fluid and the second heat exchange fluid and other technical means, achieving the technical effects of improving the response speed, realizing precise optimization control and improving the reliability of the optimization result.

[0064] In the above text, reference is made to Figure 1 A method for optimizing the operation of a shell-and-tube heat exchanger with intelligent temperature control according to an embodiment of the present invention is described in detail. Next, reference will be made to Figure 2 Describe a device for optimizing the operation of a shell-and-tube heat exchanger with intelligent temperature control according to an embodiment of the present invention.

[0065] A device for optimizing the operation of a shell-and-tube heat exchanger with intelligent temperature control according to an embodiment of the present invention is used to solve the technical problems of lagging response, inaccurate optimization control, and unreliable optimization results existing in the operation optimization of the existing shell-and-tube heat exchanger, achieving the technical effects of improving the response speed, realizing precise optimization control, and improving the reliability of the optimization result. A device for optimizing the operation of a shell-and-tube heat exchanger with intelligent temperature control includes: a heat exchange fluid determination module 10, a heat exchange monitoring module 20, a first flow end temperature construction module 30, a dual equilibrium constraint module 40, and a control optimization module 50.

[0066] The heat exchange fluid determination module 10 is configured to determine a first heat exchange fluid and a second heat exchange fluid of the shell-and-tube heat exchanger, wherein the first heat exchange fluid is the fluid that needs temperature control, and the second heat exchange fluid is the heat exchange medium; the heat exchange monitoring module 20 is configured to monitor the temperature and flow state of the first heat exchange fluid and the second heat exchange fluid, and generate a first monitoring data set and a second monitoring data set; the first flow end temperature construction module 30 is configured to determine whether there is an obvious abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set, and if so, construct a first flow end temperature based on the actual heat exchange target; the dual equilibrium constraint module 40 is configured to perform flow optimization of the first heat exchange fluid, and temperature and flow optimization of the second heat exchange fluid based on the first flow end temperature, the first monitoring data set, and the second monitoring data set, and generate optimized heat exchange control parameters; the control optimization module 50 is configured to send the optimized heat exchange control parameters to the control terminal of the shell-and-tube heat exchanger to perform control optimization on the first heat exchange fluid and the second heat exchange fluid.

[0067] Next, the specific configuration of the dual equilibrium constraint module 40 will be described in detail. As described above, based on the first flow end temperature, the first monitoring data set, and the second monitoring data set, flow optimization of the first heat exchange fluid, and temperature and flow optimization of the second heat exchange fluid are performed to generate optimized heat exchange control parameters. The dual equilibrium constraint module 40 may further include: a flow parameter constraint information configuration unit configured to configure first flow parameter constraint information of the first heat exchange fluid and second flow parameter constraint information of the second heat exchange fluid; a flow parameter selection space construction unit configured to construct a first flow parameter selection space and a second flow parameter selection space under the constraints of the first flow parameter constraint information and the second flow parameter constraint information; an equilibrium optimization unit configured to use the first flow end temperature as the first target and a preset heat exchange efficiency optimization direction as the second target, and perform equilibrium optimization of the first heat exchange fluid and the second heat exchange fluid through the dual equilibrium constraint module within the first flow parameter selection space and the second flow parameter selection space to generate the optimized heat exchange control parameters.

[0068] Among them, when configuring the first flow parameter constraint information of the first heat exchange fluid and the second flow parameter constraint information of the second heat exchange fluid, the flow parameter constraint information configuration unit may further include: a heat exchange pipe structure information acquisition subunit for acquiring the heat exchange pipe structure information of the shell-and-tube heat exchanger; a material information determination subunit for determining the first material information of the fluid flow space of the first heat exchange fluid and the second material information of the fluid flow space of the second heat exchange fluid based on the heat exchange pipe structure information; a phase change information determination subunit for determining the first phase change information of the first heat exchange fluid and the second phase change information of the second fluid under the action of heat exchange; a first flow parameter constraint information generation subunit for combining the first material information and the first phase change information to perform constraints on fluid pressure and flow rate, and generating the first flow parameter constraint information; a second flow parameter constraint information generation subunit for combining the second material information and the second phase change information to perform constraints on fluid temperature, fluid pressure and flow rate, and generating the second flow parameter constraint information.

[0069] Among them, with the first flow end temperature as the first target and the preset heat exchange efficiency optimization direction as the second target, in the first flow parameter selection space and the second flow parameter selection space, the dual equilibrium constraint module is used to perform equilibrium optimization on the first heat exchange fluid and the second heat exchange fluid to generate the optimized heat exchange control parameters. The equilibrium optimization unit may further include: a digital modeling subunit for collecting the modeling information of the shell-and-tube heat exchanger, performing digital modeling, and generating a digital heat exchanger model; a heat exchange simulation subunit for initializing the flow parameters based on the first flow parameter selection space, and performing heat exchange simulation through the digital heat exchanger model based on the second flow parameter selection space to construct multiple sets of heat exchange control parameters that meet the first target and the second target; an optimized heat exchange control parameter generation subunit for selecting a set of heat exchange control parameters with the maximum heat exchange efficiency from the multiple sets of heat exchange control parameters and generating the optimized heat exchange control parameters.

[0070] Among them, when initializing the flow parameters based on the first flow parameter selection space and performing heat exchange simulation through the digital heat exchanger model based on the second flow parameter selection space to construct multiple sets of heat exchange control parameters that meet the first target and the second target, the heat exchange simulation subunit may further include: a flow parameter acquisition component for randomly generating first flow parameters within the first flow parameter selection space, and performing heat exchange simulation through the digital heat exchanger model to obtain second flow parameters located within the second flow parameter selection space and meeting the first target and the second target; a first set of heat exchange control parameter generation components for generating a first set of heat exchange control parameters with the first flow parameters and the second flow parameters and adding them to the multiple sets of heat exchange control parameters.

[0071] Next, the specific configuration of the first flow end temperature construction module 30 will be described in detail. As described above, based on the first monitoring data set, it is determined whether there is an obvious abnormality in the temperature control of the first heat exchange fluid. If so, the first flow end temperature is constructed based on the actual heat exchange target. The first flow end temperature construction module 30 may further include: a heat exchange mode determination unit for determining the heat exchange mode of the shell-and-tube heat exchanger, where the heat exchange mode includes concurrent flow heat exchange and countercurrent flow heat exchange; an outlet temperature positioning unit for positioning the outlet temperature of the first heat exchange fluid in the first monitoring data set based on the heat exchange mode; and a first flow end temperature generation unit for determining whether the outlet temperature meets the actual heat exchange target. If so, there is an obvious abnormality, and the first flow end temperature is generated based on the actual heat exchange target.

[0072] Among them, based on the first monitoring data set, it is determined whether there is an obvious abnormality in the temperature control of the first heat exchange fluid. The device may further include: a heat exchange efficiency identification module for, if there is no obvious abnormality in the temperature control of the first heat exchange fluid, performing heat exchange efficiency identification based on the first monitoring data set and the second monitoring data set to generate a heat exchange efficiency index; and an optimization module for, if the heat exchange efficiency index is less than a preset index, calling the double equilibrium constraint module to perform flow optimization of the first heat exchange fluid and temperature and flow optimization of the second heat exchange fluid.

[0073] The operation optimization device of the shell-and-tube heat exchanger with intelligent temperature control provided by the embodiment of the present invention can execute the operation optimization method of the shell-and-tube heat exchanger with intelligent temperature control provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0074] Although the present application makes various references to certain modules in the device according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The included various units and modules are only divided according to the functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0075] The above specific embodiments do not constitute a limitation on the protection scope of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application shall be included within the protection scope of this application. In some cases, the actions or steps recited in this application can be executed in a sequence different from that in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or consecutive order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. An operation optimization method for a coiled tube heat exchanger with intelligent temperature control, characterized in that: include: Determining a first heat exchange fluid and a second heat exchange fluid of a coiled heat exchanger, wherein the first heat exchange fluid is a fluid that needs to be temperature controlled, and the second heat exchange fluid is a heat exchange medium; Monitoring the temperature and flow state of the first heat exchange fluid and the second heat exchange fluid to generate a first monitoring data set and a second monitoring data set; Determining whether there is an apparent abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set, and if so, establishing a first flow endpoint temperature based on an actual heat exchange target; Calling a dual equilibrium constraint module to optimize the flow of the first heat exchange fluid and the temperature and flow of the second heat exchange fluid based on the first flow endpoint temperature, the first monitoring data set, and the second monitoring data set, and generate an optimized heat exchange control parameter; The optimized heat exchange control parameters are sent to a control terminal of the coiled-tube heat exchanger to optimize the control of the first heat exchange fluid and the second heat exchange fluid.

2. The method for optimizing the operation of a coiled heat exchanger with intelligent temperature control according to claim 1, characterized in that: Calling the dual equilibrium constraint module to optimize the flow of the first heat exchange fluid and the temperature and flow of the second heat exchange fluid based on the first flow endpoint temperature, the first monitoring data set, and the second monitoring data set to generate optimized heat exchange control parameters, including: configuring first flow parameter constraint information of the first heat exchange fluid and second flow parameter constraint information of the second heat exchange fluid; Under the constraints of the first flow parameter constraint information and the second flow parameter constraint information, construct a first flow parameter selection space and a second flow parameter selection space; Taking the first flow endpoint temperature as the first target and the preset heat exchange efficiency optimization direction as the second target, within the first flow parameter selection space and the second flow parameter selection space, the dual balance constraint module is used to perform balance optimization of the first heat exchange fluid and the second heat exchange fluid to generate the optimized heat exchange control parameters.

3. The method for optimizing the operation of a coiled heat exchanger with intelligent temperature control according to claim 2, characterized in that: Configuring first flow parameter constraint information of the first heat exchange fluid and second flow parameter constraint information of the second heat exchange fluid includes: Acquiring heat exchange pipe structure information of the coiled-tube heat exchanger; Determining first material information of a fluid flow space of the first heat exchange fluid and second material information of a fluid flow space of the second heat exchange fluid based on the heat exchange pipe structure information; Determining first phase change information of the first heat exchange fluid and second phase change information of the second fluid under heat exchange; Constraining fluid pressure and flow rate by combining the first material information and the first phase change information to generate the first flow parameter constraint information; The second material information and the second phase change information are combined to constrain the fluid temperature, fluid pressure and flow rate to generate second flow parameter constraint information.

4. The method for optimizing the operation of a coiled heat exchanger with intelligent temperature control according to claim 2, characterized in that: Taking the first flow endpoint temperature as the first target and the preset heat exchange efficiency optimization direction as the second target, in the first flow parameter selection space and the second flow parameter selection space, the first heat exchange fluid and the second heat exchange fluid are balanced and optimized by the dual balance constraint module to generate the optimized heat exchange control parameters, including: Collecting modeling information of the coiled-tube heat exchanger, performing digital modeling, and generating a digital heat exchanger model; Initialize flow parameters based on the first flow parameter selection space, perform heat exchange simulation based on the second flow parameter selection space through the digital heat exchanger model, and construct multiple groups of heat exchange control parameters that meet the first goal and the second goal; A group of heat exchange control parameters with the highest heat exchange efficiency is selected from the multiple groups of heat exchange control parameters to generate the optimized heat exchange control parameters.

5. The method for optimizing the operation of a coiled heat exchanger with intelligent temperature control according to claim 4, characterized in that: Initializing flow parameters based on the first flow parameter selection space, performing heat exchange simulation based on the second flow parameter selection space through the digital heat exchanger model, and constructing multiple groups of heat exchange control parameters that meet the first target and the second target, including: Randomly generate a first flow parameter in the first flow parameter selection space, and perform heat exchange simulation through the digital heat exchanger model to obtain a second flow parameter that is in the second flow parameter selection space and meets the first target and the second target; A first set of heat exchange control parameters is generated using the first flow parameter and the second flow parameter, and is added into the plurality of sets of heat exchange control parameters.

6. The method for optimizing the operation of a coiled heat exchanger with intelligent temperature control according to claim 1, characterized in that: Determining whether there is an apparent abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set, and if so, establishing a first flow endpoint temperature based on an actual heat exchange target, including: Determining a heat exchange mode of the coiled heat exchanger, wherein the heat exchange mode includes parallel flow heat exchange and counter flow heat exchange; locating an outlet temperature of the first heat exchange fluid in the first monitoring data set based on the heat exchange mode; It is determined whether the outlet temperature meets the actual heat exchange target. If so, there is an obvious abnormality, and the first flow endpoint temperature is generated based on the actual heat exchange target.

7. The method for optimizing the operation of a coiled heat exchanger with intelligent temperature control according to claim 1, characterized in that: Judging whether there is an obvious abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set also includes: If there is no obvious abnormality in the temperature control of the first heat exchange fluid, heat exchange efficiency identification is performed based on the first monitoring data set and the second monitoring data set to generate a heat exchange efficiency index; If the heat exchange efficiency index is less than a preset index, the dual balance constraint module is called to perform flow optimization of the first heat exchange fluid and temperature and flow optimization of the second heat exchange fluid.

8. An intelligent temperature-controlled coiled-tube heat exchanger operation optimization device, characterized in that: The device is used to implement the operation optimization method of a coiled heat exchanger with intelligent temperature control according to any one of claims 1 to 7, and the device comprises: A heat exchange fluid determination module, used to determine a first heat exchange fluid and a second heat exchange fluid of a coiled heat exchanger, wherein the first heat exchange fluid is a fluid that needs to be temperature controlled, and the second heat exchange fluid is a heat exchange medium; a heat exchange monitoring module, configured to monitor the temperature and flow state of the first heat exchange fluid and the second heat exchange fluid, and generate a first monitoring data set and a second monitoring data set; A first flow endpoint temperature building module, used to determine whether there is an obvious abnormality in the temperature control of the first heat exchange fluid based on the first monitoring data set, and if so, to build the first flow endpoint temperature based on the actual heat exchange target; a dual equilibrium constraint module, configured to optimize the flow of the first heat exchange fluid and the temperature and flow of the second heat exchange fluid based on the first flow endpoint temperature, the first monitoring data set, and the second monitoring data set, and generate an optimized heat exchange control parameter; A control optimization module is used to send the optimized heat exchange control parameters to the control terminal of the coiled-tube heat exchanger to perform control optimization on the first heat exchange fluid and the second heat exchange fluid.

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