Simulation method, modeling equipment, heat exchanger and air conditioner

Abstract

The invention provides a simulation method, modeling equipment, a heat exchanger and an air conditioner. The simulation method comprises the steps that information of the heat exchanger of a product is collected; parameters of a heat exchange pipeline are set; according to the set parameters of the heat exchange pipeline, a model of the product is generated; according to the simulation method, the problems that in the prior art, when a large system is constructed, basic parts are forced to be spliced one by one, the process is tedious, efficiency is low, and the error rate is high are solved; the technical problem that the simulation efficiency of the module of the air conditioner is low in the related technology is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioners, and in particular to a simulation method, a modeling device, a heat exchanger and an air conditioner. Background Art

[0002] At present, although the simulation software used in the industry has powerful simulation functions and can finely control every detail of the simulation process, they are not capable of being applied in the field of air-conditioning design due to the lack of modular processing of air-conditioning components. When designers build large systems, they are forced to use basic components to assemble one by one. This construction method is not only cumbersome, but also significantly increases the possibility of errors.

[0003] In actual operation, when designers simulate and model the air-conditioning system, they often need to repeatedly debug the parameters of key components, and restart the simulation operation after each adjustment. This process may take hours or even longer, and the results obtained are sometimes not satisfactory or even not the best solution. Designers have to repeat this long and tedious cycle, continuously adjusting and waiting for new simulation results. Such an operation process is not only extremely time-consuming, but also fails to fully utilize the intelligent features of the simulation software, fails to provide users with an efficient and pleasant user experience, and instead highlights the shortcomings in user experience and efficiency. This highlights the gap in user interaction design and simulation efficiency optimization of existing software.

[0004] Therefore, although the simulation software has outstanding accuracy and detail control capabilities in air-conditioning system design, it still has obvious shortcomings in modular integration of components, intelligent feedback of parameter adjustment, and simulation efficiency, which limits the practicality of the software and user operating efficiency. Summary of the invention

[0005] The purpose of the present invention is to overcome the above technical deficiencies and provide a simulation method, a modeling device, a heat exchanger and an air conditioner to solve the technical problem of low efficiency in simulating air conditioner modules in the related art.

[0006] In order to achieve the above technical objectives, the present invention adopts the following technical solutions: providing a simulation method, comprising: Collect information about the product's heat exchanger; Set the parameters of the heat exchange pipeline; Generate a product model based on the set parameters of the heat exchange pipeline; An optimization operation is performed based on the product model to find data for preferred products.

[0007] Furthermore, the method of collecting metadata of products includes: The client is set up so that the user can input the information of the product into the client according to the demand to obtain the metadata of the heat exchange pipeline.

[0008] Furthermore, the product information input includes: The dimensions of the heat exchanger for the product; and / or, the flow rate of the refrigerant in the heat exchanger of the product; and / or, The number of rows of heat exchange pipes arranged on the heat exchanger of the product.

[0009] Furthermore, the method for performing optimization operation based on the product model includes: Perform calculation according to the length of the heat exchange pipeline; and / or, The calculation is performed according to the inner diameter of the heat exchange pipeline.

[0010] Furthermore, the method for performing optimization operation based on the product model includes: Acquire the superheat at the outlet of the heat exchange pipeline according to the collected metadata of the product; According to the collected metadata of the product, the total superheat of the heat exchange system in which the heat exchange pipeline is located is obtained; The superheat at the outlet of the heat exchange pipeline and the total superheat of the heat exchange system in which the heat exchange pipeline is located are calculated to adjust the parameters of the heat exchange pipeline.

[0011] Furthermore, the method for calculating the superheat at the outlet of the heat exchange pipeline and the total superheat of the heat exchange system in which the heat exchange pipeline is located includes: Set thresholds; When the difference between the superheat at the outlet of the heat exchange pipeline and the total superheat of the heat exchange system in which the heat exchange pipeline is located is less than or equal to a threshold value, it is judged that the superheat of the heat exchange pipeline is low; When the difference between the superheat at the outlet of the heat exchange pipeline and the total superheat of the heat exchange system in which the heat exchange pipeline is located is greater than a threshold, it is determined that the superheat of the heat exchange pipeline is too high.

[0012] Furthermore, the method for adjusting the parameters of the heat exchange pipeline includes: Determining the superheat at the outlet of the heat exchange pipeline; When it is judged that the superheat at the outlet of the heat exchange pipeline is low, increasing the length of the corresponding heat exchange pipeline; When it is determined that the superheat at the outlet of the heat exchange pipeline is too high, reducing the length of the corresponding heat exchange pipeline; The product data is adjusted according to the adjusted length of the heat exchange pipeline.

[0013] Furthermore, the metadata includes: The type of refrigerant provided in the product; and / or, The refrigerant inlet dryness of the product; and / or, The refrigerant inlet pressure of the product; and / or, The air volume of the fan that dissipates heat for the product.

[0014] A modeling device is used to run the above simulation method.

[0015] Furthermore, the modeling device comprises: A client, which is used to collect product data input by a customer; A simulation computing device, the simulation computing device is connected to the client to receive metadata of the product; performs calculations based on the metadata, and feeds back the calculation results to the client; A scheduling queuing device is connected to the client to arrange the metadata of the product.

[0016] A heat exchanger, the parameters of which are calculated using the above-mentioned simulation method.

[0017] An air conditioner, the parameters of which are calculated using the above-mentioned simulation method.

[0018] Beneficial effects: 1. The simulation method of the present invention includes: collecting information about the heat exchanger of the product; setting parameters of the heat exchange pipeline; generating a model of the product according to the set parameters of the heat exchange pipeline; and performing optimization operations based on the model of the product to find data for the preferred product. With the above settings, a preliminary model is first built according to the customer's requirements, and the data of the heat exchange pipeline is calculated based on the model. When it is calculated that the parameters of a certain heat exchange pipeline are not suitable for the customer's requirements, the parameters of the heat exchange pipeline are changed to complete the simulation of the heat exchange pipeline. It overcomes the problem in the prior art that when building a large system, basic components are forced to be assembled one by one, the process is cumbersome, inefficient, and the error rate is high, and the technical problem of low efficiency in simulating air-conditioning modules in the related art is solved.

[0019] 2. The simulation method of the present invention enhances modularization and integration capabilities, allowing designers to quickly build complex air conditioning system models, reducing the time and error rate of manual splicing. The design cycle will be greatly shortened, and the accuracy and reliability of system design will be significantly improved.

[0020] 3. The simulation method of the present invention introduces intelligent parameter adjustment and instant feedback mechanisms, which can significantly reduce the time designers spend on parameter optimization. Designers no longer need to wait for hours to see the results, and instant feedback will help them quickly understand the impact of parameter changes on system performance, which will greatly improve the efficiency and iteration speed of the design process.

[0021] 4. The simulation method of the present invention simplifies the user interface and enhances the interactive design, allowing designers to operate the software more intuitively and quickly, significantly improving the user experience. At the same time, the enhanced intelligent and automated functions will greatly improve the professionalism and reliability of the software. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flowchart of an embodiment of a simulation method adopted in an embodiment of the present invention; Figure 2 is a flow chart of another embodiment of the simulation method adopted in the embodiment of the present invention; Figure 3 It is a flowchart of an optimization method of a simulation method adopted in an embodiment of the present invention; Figure 4 is a schematic diagram of the structure of a modeling device used in an embodiment of the present invention; Figure 5 It is a structural schematic diagram of a heat exchanger generated by the simulation method of this example provided by an embodiment of the present invention.

[0023] Figure 6 It is a system diagram of a modeling device provided in an embodiment of the present invention.

[0024] The above drawings include the following reference numerals: 1. Heat exchange pipeline; 2. Heat exchanger; 10. Client; 20. Simulation computing device; 30. Scheduling and queuing device. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0026] According to an embodiment of the present invention, a simulation method is provided. Figures 1 to 6, including: collecting information about the heat exchanger of the product; setting parameters of the heat exchange pipeline 1; generating a model of the product according to the set parameters of the heat exchange pipeline 1; and performing an optimization operation based on the product model to find data of the preferred product.

[0027] With the above settings, a preliminary model is first built according to the customer's requirements, and the data of the heat exchange pipeline 1 is calculated based on the model. When it is calculated that the parameters of a certain heat exchange pipeline 1 are not suitable for the customer's requirements, the parameters of the heat exchange pipeline 1 are changed to complete the simulation of the heat exchange pipeline 1. This overcomes the problem that in the prior art, when building a large system, the basic components are forced to be spliced ​​one by one, the process is cumbersome, inefficient, and the error rate is high, and the technical problem of low efficiency in simulating the air conditioner module in the related technology is solved.

[0028] In the simulation method of this embodiment, see Figure 2 The method for collecting metadata of a product includes: setting a client 10 so that a user inputs information of the product to the client 10 according to needs to obtain metadata of the heat exchange pipeline 1.

[0029] With the above configuration, data is collected at the user's location using the client 10, so that it is convenient for the user to feedback and receive the data. By setting up multiple clients 10, one-to-one correspondence is performed with the client, thereby improving the efficiency of information collection.

[0030] In the simulation method of this embodiment, the input information of the product includes: the size of the heat exchanger 2 of the product; and / or the flow rate of the refrigerant in the heat exchanger 2 of the product; and / or the number of rows of heat exchange pipelines 1 arranged on the heat exchanger 2 of the product.

[0031] Specifically, according to the needs of users, heat exchangers 2 of different sizes are arranged according to different space sizes, so as to conveniently adjust the arrangement density of the heat exchange pipelines 1 on the heat exchanger.

[0032] According to the heat exchange efficiency requirements of different products, the flow rate of the refrigerant of the heat exchanger 2 and the number of rows of the heat exchange pipeline 1 are set in a targeted manner to meet the needs of different users.

[0033] In the simulation method of this embodiment, the method of performing optimization calculation based on the model of the product includes: performing calculation according to the length of the heat exchange pipeline 1; and / or performing calculation according to the inner diameter of the heat exchange pipeline 1.

[0034] Specifically, the length of the heat exchange pipeline 1 and the inner diameter of the heat exchange pipeline 1 can generally bring different heat exchange efficiencies, so that different solutions can be provided more directly to meet customer needs.

[0035] In the simulation method of this embodiment, the method for performing optimization calculation based on the model of the product includes: obtaining the superheat at the outlet of the heat exchange pipeline 1 according to the collected metadata of the product; obtaining the total superheat of the heat exchange system in which the heat exchange pipeline 1 is located according to the collected metadata of the product; calculating the superheat at the outlet of the heat exchange pipeline 1 and the total superheat of the heat exchange system in which the heat exchange pipeline 1 is located, so as to adjust the parameters of the heat exchange pipeline 1.

[0036] By adopting the above settings, the heat exchange efficiency of the heat exchange pipeline 1 is simulated by calculating the important index of superheat, so that the specific settings of the heat exchange pipeline 1 are adjusted according to the superheat, thereby meeting the needs of users.

[0037] In the simulation method of the present embodiment, the method for calculating the superheat at the outlet of the heat exchange pipeline 1 and the total superheat of the heat exchange system in which the heat exchange pipeline 1 is located includes: setting a threshold; when the difference between the superheat at the outlet of the heat exchange pipeline 1 and the total superheat of the heat exchange system in which the heat exchange pipeline 1 is located is less than or equal to the threshold, it is judged that the superheat of the heat exchange pipeline 1 is low; when the difference between the superheat at the outlet of the heat exchange pipeline 1 and the total superheat of the heat exchange system in which the heat exchange pipeline 1 is located is greater than the threshold, it is judged that the superheat of the heat exchange pipeline 1 is high.

[0038] By adopting the above-mentioned setting, the superheat at the outlet of the heat exchange pipeline 1 is compared with the total superheat of the heat exchange system in which the heat exchange pipeline 1 is located, so as to reflect whether the setting of the heat exchange pipeline 1 cannot meet the demand or whether it is economical and applicable, so that the setting of the heat exchange pipeline 1 meets the dual standards of economy and reliability, saving production costs.

[0039] In the simulation method of this embodiment, see Figure 2 , Figure 3 The method for adjusting the parameters of the heat exchange pipeline 1 includes: judging the superheat at the outlet of the heat exchange pipeline 1; when it is judged that the superheat at the outlet of the heat exchange pipeline 1 is low, increasing the length of the corresponding heat exchange pipeline 1; when it is judged that the superheat at the outlet of the heat exchange pipeline 1 is high, reducing the length of the corresponding heat exchange pipeline 1; and adjusting the product data according to the adjusted length of the heat exchange pipeline 1.

[0040] Specifically, when it is determined that the superheat at the outlet of the heat exchange pipeline 1 is low, the length of the corresponding heat exchange pipeline 1 is increased, and the flow distance of the refrigerant in the heat exchange pipeline 1 is increased, thereby increasing the heat exchange efficiency to better meet the needs of users.

[0041] Specifically, when it is determined that the superheat at the outlet of the heat exchange pipeline 1 is too high, the length of the corresponding heat exchange pipeline 1 is increased, thereby reducing the size of the product, saving the occupied space, and reducing the production cost.

[0042] In the simulation method of this embodiment, the metadata includes: the type of refrigerant set in the product; and / or the dryness of the refrigerant inlet of the product; and / or the pressure of the refrigerant inlet of the product; and / or the air volume of the fan for dissipating heat for the product.

[0043] By adopting the above settings, the superheat is calculated according to the above indicators, so that the simulation of the heat exchange pipeline 1 is more accurate.

[0044] The modeling device of this embodiment is used to run the above-mentioned simulation method.

[0045] By using the above modeling equipment and setting up a modular design platform, complex air-conditioning systems can be quickly built, efficiency can be improved, errors can be reduced, and the design efficiency can be significantly improved. The instant intelligent feedback system can be implemented to adjust the heat exchanger capillary parameters in real time, quickly obtain the optimal value, and greatly save simulation calculation time.

[0046] like Figure 4 In the modeling device of this embodiment, the modeling device includes: a client 10, the client 10 is used to collect product data input by a customer; a simulation operation device 20, the simulation operation device 20 is connected to the client 10 to receive the metadata of the product; and performs calculations based on the metadata, and feeds the calculation results back to the client 10; a scheduling queuing device 30, the scheduling queuing device 30 is connected to the client 10 to arrange the metadata of the product.

[0047] With the above settings, the modeling equipment of the heat exchanger adopts an innovative cross-platform separated three-tier architecture design, which is designed to support the concurrent computing needs of multiple clients and ensure efficient and stable service provision. By realizing multi-user unattended concurrent simulation computing, the efficiency bottleneck of traditional queuing is solved, and the speed and throughput of air conditioning simulation computing are significantly improved. In addition, the system's precise control of the simulation time progress further optimizes the accuracy of the computing time consumption, which not only enhances the practicality of the technology, but also greatly improves the user experience, making the simulation process smoother and more efficient. This architectural design effectively solves the problem of computing efficiency in high-concurrency scenarios, and also provides users with more accurate and convenient simulation services.

[0048] The parameters of the heat exchanger of this embodiment are calculated by using the above-mentioned simulation method, thus providing users with more accurate and convenient simulation services, increasing the production rate of product models, and reducing the production cost of heat exchangers.

[0049] The parameters of the air conditioner of this embodiment are calculated by using the above-mentioned simulation method, thus providing users with more accurate and convenient simulation services, increasing the production rate of product models, and reducing the production cost of air conditioners.

[0050] The simulation method of this embodiment is described as follows: like Figure 2 The simulation operation takes time to obtain the flow chart. The designer first starts the modeling process of the heat exchange pipeline 1 on the client. The specific diagram is as follows Figure 3 Heat exchanger modular design: according to simulation requirements, input the number of rows and the number of pipes in each row. For example, a small heat exchanger has 2 rows and 5 pipes, while some large heat exchangers have 3 to 5 rows and 15 pipes.

[0051] Then, the parameters of the capillary tube of heat exchanger 2 (i.e., heat exchange pipeline 1 in this embodiment) and other key parameters are set. The designer clicks the "Start" button to formally initiate the instruction for modeling calculation. The metadata of the heat exchanger (including refrigerant type, refrigerant inlet dryness, refrigerant inlet pressure, total air volume, etc.) is securely submitted to the cloud storage for further processing. At this time, the scheduling system responds quickly, queuing the modeling tasks as needed or requesting instant computing resources.

[0052] Then, the computing device receives the modeling operation request from the scheduling system and starts to build an accurate model based on the heat exchanger metadata stored in the cloud. During the modeling process, the device deeply considers the capillary parameters (including capillary length, capillary inner diameter, etc.) and performs efficient optimization to ensure the accuracy and effectiveness of the model.

[0053] After the calculation is completed, the modular model of the heat exchanger and its optimization results are immediately returned to the designer's client, successfully completing the entire modeling and calculation process. This series of steps demonstrates an efficient collaborative process from the initiation of modeling instructions to the feedback of calculation results, reflecting the intelligence and efficiency of system design. Through the entire rapid modeling process, the modular design of the heat exchanger is realized, and complex air-conditioning systems are quickly built, efficiency is improved, errors are reduced, and ultimately a significant improvement in design efficiency is achieved.

[0054] The optimization calculation method for this embodiment is as follows: like Figure 3 , Capillary operation optimization process, based on the initial parameters of the capillary, we first determine the initial lengths of the capillary as L1, L2, and L3. Then, as shown in the system diagram, the metadata submitted by the client is integrated and operated by the simulation operation device 20, and the branch superheat at the capillary outlet is obtained, which are marked as T1, T2, and T3 respectively. After obtaining these initial data, we compare the numerical difference between each branch superheat Ti (i=1,2,3) and the total superheat Ta, and conduct a detailed analysis of each link.

[0055] Next, for each branch superheat Ti, we set the comparison condition: Is Ti greater than Ta minus 2? If Ti<=Ta-2, it means that the superheat is low, and the corresponding capillary length Li needs to be fine-tuned by increasing the length by 0.05 units to improve efficiency; on the contrary, if Ti>Ta+2, the superheat is high, and a more precise adjustment strategy is adopted, reducing the length by only 0.01 units to avoid excessive adjustment.

[0056] After completing the length adjustment, we use the updated capillary lengths L1, L2, and L3 as parameters to recalculate and obtain the updated outlet branch superheat. Comparing the new branch superheat with Ta, we look for the superheat Ti with the largest difference from Ta as an important reference for the next step of optimization. The superheat Ti with the largest difference from Ta is selected as the input value, and the system performs further optimization operations to improve the accuracy of the calculation.

[0057] Finally, after completing multiple optimization operations, the system outputs the optimal capillary length after adjustment, and the entire optimization process ends. Through this device, an instant intelligent feedback system is realized, the heat exchanger capillary parameters are adjusted in real time, the optimal value is quickly obtained, and the simulation operation time is greatly saved.

[0058] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0059] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment will not be described in detail here.

[0060] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0061] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0062] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A simulation method, characterized in that: include: Collect information about the product's heat exchanger; Set the parameters of the heat exchange pipeline (1); Generate a product model according to the set parameters of the heat exchange pipeline (1); An optimization operation is performed based on the product model to find data for preferred products.

2. The simulation method according to claim 1, characterized in that: Methods for collecting product metadata include: A client (10) is provided so that a user can input information of the product into the client (10) according to needs, so as to obtain metadata of the heat exchange pipeline (1).

3. The simulation method according to claim 2, characterized in that: The product information entered includes: the size of the heat exchanger (2) of the product; and / or, the flow rate of the refrigerant in the heat exchanger (2) of the product; and / or, The number of rows of heat exchange pipelines (1) provided on the heat exchanger (2) of the product.

4. The simulation method according to claim 1, characterized in that: The method for performing optimization operation based on the model of the product includes: performing calculations based on the length of the heat exchange pipeline (1); and / or, The calculation is performed according to the inner diameter of the heat exchange pipeline (1).

5. The simulation method according to claim 1, characterized in that: The method for performing optimization operation based on the model of the product includes: Obtaining the superheat at the outlet of the heat exchange pipeline (1) according to the collected product metadata; Obtaining, based on the collected product metadata, a total superheat of the heat exchange system in which the heat exchange pipeline (1) is located; The superheat at the outlet of the heat exchange pipeline (1) and the total superheat of the heat exchange system in which the heat exchange pipeline (1) is located are calculated to adjust the parameters of the heat exchange pipeline (1).

6. The simulation method according to claim 5, characterized in that: The method for calculating the superheat at the outlet of the heat exchange pipeline (1) and the total superheat of the heat exchange system in which the heat exchange pipeline (1) is located comprises: Set thresholds; When the difference between the superheat at the outlet of the heat exchange pipeline (1) and the total superheat of the heat exchange system in which the heat exchange pipeline (1) is located is less than or equal to a threshold value, it is judged that the superheat of the heat exchange pipeline (1) is low; When the difference between the superheat at the outlet of the heat exchange pipeline (1) and the total superheat of the heat exchange system in which the heat exchange pipeline (1) is located is greater than a threshold value, it is determined that the superheat of the heat exchange pipeline (1) is too high.

7. The simulation method according to claim 6, characterized in that: The method for adjusting the parameters of the heat exchange pipeline (1) comprises: Determining the degree of superheat at the outlet of the heat exchange pipeline (1); When it is determined that the degree of superheat at the outlet of the heat exchange pipeline (1) is too low, increasing the length of the corresponding heat exchange pipeline (1); When it is determined that the degree of superheat at the outlet of the heat exchange pipeline (1) is too high, reducing the length of the corresponding heat exchange pipeline (1); The product data is adjusted according to the adjusted length of the heat exchange pipeline (1).

8. The simulation method according to claim 7, characterized in that: The metadata includes: The type of refrigerant provided in the product; and / or, The refrigerant inlet dryness of the product; and / or, The refrigerant inlet pressure of the product; and / or, The air volume of the fan that dissipates heat for the product.

9. A modeling device, characterized in that: The modeling device is used to run the simulation method according to any one of claims 1 to 8.

10. The modeling device according to claim 9, characterized in that The modeling device comprises: A client (10), the client (10) being used to collect product data input by a customer; A simulation computing device (20), the simulation computing device (20) being connected to the client (10) to receive metadata of the product; performing calculations based on the metadata, and feeding back the calculation results to the client (10); A scheduling queuing device (30) is connected to the client (10) to arrange the metadata of the product.

11. A heat exchanger, characterized in that: The parameters of the heat exchanger are calculated using the simulation method described in any one of claims 1 to 8.

12. An air conditioner, characterized in that: The parameters of the air conditioner are calculated using the simulation method described in any one of claims 1 to 8.

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