CN114611403A - Heat exchanger design method, device, electronic equipment and medium - Google Patents
Heat exchanger design method, device, electronic equipment and mediumDownload PDFInfo
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Abstract
Description
Translated fromChinese技术领域technical field
本发明涉及换热器技术领域，尤其涉及一种换热器设计方法、装置、电子设备及介质。The present invention relates to the technical field of heat exchangers, and in particular, to a heat exchanger design method, device, electronic equipment and medium.
背景技术Background technique
换热器的研发设计基于基准机型，由工程师根据经验对基准机型进行改动，制造样机并通过实验对样机进行验证(能力/型式等实验)，最后凭借基准、测试与经验确定最终的设计方案。设计流程包括方案设计、样机制作、测试验证和产品确认等，整个设计过程存在成本高昂、耗时漫长、设计效率低等问题。The R&D and design of the heat exchanger is based on the benchmark model. Engineers make changes to the benchmark model based on experience, manufacture prototypes and verify the prototypes through experiments (capacity/type experiments), and finally determine the final design based on benchmarks, tests and experience. Program. The design process includes scheme design, prototype production, test verification, and product confirmation. The entire design process has problems such as high cost, long time, and low design efficiency.
发明内容SUMMARY OF THE INVENTION
本发明旨在至少在一定程度上解决相关技术中的技术问题之一。为此，本发明的第一个目的在于提出一种换热器设计方法，该方法能够降低测试成本，提升换热器设计效率。The present invention aims to solve one of the technical problems in the related art at least to a certain extent. Therefore, the first objective of the present invention is to provide a heat exchanger design method, which can reduce the test cost and improve the heat exchanger design efficiency.
本发明的第二个目的在于提出一种计算机可读存储介质。A second object of the present invention is to provide a computer-readable storage medium.
本发明的第三个目的在于提出一种电子设备。The third object of the present invention is to provide an electronic device.
本发明的第四个目的在于提出一种换热器设计装置。The fourth object of the present invention is to provide a heat exchanger design device.
为达上述目的，本发明第一方面实施例提出了一种换热器设计方法，换热器设计方法包括：构建虚拟换热器模型和知识图谱；根据所述虚拟换热器模型和所述知识图谱构建换热器方案库；根据所述换热器方案库和换热器设计需求确定目标换热器的设计方案。In order to achieve the above purpose, the embodiment of the first aspect of the present invention proposes a heat exchanger design method. The heat exchanger design method includes: constructing a virtual heat exchanger model and a knowledge map; according to the virtual heat exchanger model and the The knowledge graph is used to construct a heat exchanger scheme library; the design scheme of the target heat exchanger is determined according to the heat exchanger scheme library and the design requirements of the heat exchanger.
根据本发明实施例的换热器设计方法，能够根据虚拟换热器模型和知识图谱构建换热器方案库，并根据换热器方案库和换热器设计需求自动确定目标换热器的设计方案，从而避免了制造样机以及利用样机反复进行实验测试，降低了测试成本，提升了换热器设计效率。According to the heat exchanger design method of the embodiment of the present invention, a heat exchanger scheme library can be constructed according to the virtual heat exchanger model and knowledge graph, and the design of the target heat exchanger can be automatically determined according to the heat exchanger scheme library and the heat exchanger design requirements. Therefore, the manufacturing of prototypes and repeated experimental tests using the prototypes are avoided, the test cost is reduced, and the design efficiency of the heat exchanger is improved.
在本发明的一些实施例中，构建虚拟换热器模型，包括：初始化预设神经网络模型的参数集；获取训练样本集，所述训练样本集包括相对应的换热器结构数据、换热器入口数据、换热器性能数据和换热器出口数据；将所述换热器结构数据和所述换热器入口数据作为输入，将所述换热器性能数据和所述换热器出口数据作为输出，利用损失函数和优化算法对所述预设神经网络模型进行训练，以优化所述参数集中各个参数的参数值；在训练结果满足预设条件时，根据所述预设神经网络模型确定所述虚拟换热器模型。In some embodiments of the present invention, constructing a virtual heat exchanger model includes: initializing a parameter set of a preset neural network model; acquiring a training sample set, where the training sample set includes corresponding heat exchanger structural data, heat exchange The heat exchanger inlet data, heat exchanger performance data and heat exchanger outlet data; using the heat exchanger structure data and the heat exchanger inlet data as input, the heat exchanger performance data and the heat exchanger outlet The data is used as the output, and the preset neural network model is trained by using a loss function and an optimization algorithm to optimize the parameter values of each parameter in the parameter set; when the training result satisfies the preset conditions, according to the preset neural network model Determine the virtual heat exchanger model.
在本发明的一些实施例中，所述换热器结构数据包括翅片类型、翅片间距/厚度、盘管管间距/列间距、流路组合、换热器管壁类型。In some embodiments of the present invention, the heat exchanger structure data includes fin type, fin spacing/thickness, coil spacing/column spacing, flow path combination, and heat exchanger tube wall type.
在本发明的一些实施例中，所述换热器入口数据包括制冷剂侧入口数据和空气侧入口数据，所述换热器出口数据包括制冷剂侧出口数据和空气侧出口数据。In some embodiments of the present invention, the heat exchanger inlet data includes refrigerant side inlet data and air side inlet data, and the heat exchanger outlet data includes refrigerant side outlet data and air side outlet data.
在本发明的一些实施例中，所述制冷剂侧入口数据包括制冷剂种类、制冷剂侧入口压力、制冷剂侧入口温度和制冷剂侧入口流量，所述空气侧入口数据数据包括空气温湿度、空气侧入口压力和空气侧入口流量。In some embodiments of the present invention, the refrigerant-side inlet data includes refrigerant type, refrigerant-side inlet pressure, refrigerant-side inlet temperature, and refrigerant-side inlet flow rate, and the air-side inlet data includes air temperature and humidity , air side inlet pressure and air side inlet flow.
在本发明的一些实施例中，所述换热器性能数据包括换热量、压降和冷媒充注量。In some embodiments of the present invention, the heat exchanger performance data includes heat exchange, pressure drop and refrigerant charge.
在本发明的一些实施例中，构建知识图谱，包括：对换热器进行功能分解并生成所述知识图谱。In some embodiments of the present invention, constructing a knowledge graph includes: decomposing a heat exchanger function and generating the knowledge graph.
为达上述目的，本发明第二方面实施例提出了一种计算机可读存储介质，其上存储有换热器设计程序，该换热器设计程序被处理器执行时实现上述任一实施例的换热器设计方法。In order to achieve the above purpose, the embodiment of the second aspect of the present invention provides a computer-readable storage medium on which a heat exchanger design program is stored, and when the heat exchanger design program is executed by a processor, any of the above embodiments is implemented Heat Exchanger Design Methods.
根据本发明实施例的计算机可读存储介质，能够根据虚拟换热器模型和知识图谱构建换热器方案库，并根据换热器方案库和换热器设计需求自动确定目标换热器的设计方案，从而避免了制造样机以及利用样机反复进行实验测试，降低了测试成本，提升了换热器设计效率。According to the computer-readable storage medium of the embodiment of the present invention, a heat exchanger scheme library can be constructed according to a virtual heat exchanger model and a knowledge graph, and the design of a target heat exchanger can be automatically determined according to the heat exchanger scheme library and heat exchanger design requirements Therefore, the manufacturing of prototypes and repeated experimental tests using the prototypes are avoided, the test cost is reduced, and the design efficiency of the heat exchanger is improved.
为达上述目的，本发明第三方面实施例提出了一种电子设备，该电子设备包括存储器、处理器及存储在存储器上并可在处理器上运行的换热器设计程序，所述处理器执行所述换热器设计程序时，实现上述任一实施例的换热器设计方法。In order to achieve the above object, an embodiment of the third aspect of the present invention provides an electronic device, the electronic device includes a memory, a processor, and a heat exchanger design program stored in the memory and running on the processor, the processor When the heat exchanger design program is executed, the heat exchanger design method of any one of the above embodiments is implemented.
根据本发明实施例的电子设备，能够根据虚拟换热器模型和知识图谱构建换热器方案库，并根据换热器方案库和换热器设计需求自动确定目标换热器的设计方案，从而避免了制造样机以及利用样机反复进行实验测试，降低了测试成本，提升了换热器设计效率。According to the electronic device of the embodiment of the present invention, a heat exchanger scheme library can be constructed according to the virtual heat exchanger model and the knowledge map, and the design scheme of the target heat exchanger can be automatically determined according to the heat exchanger scheme library and the design requirements of the heat exchanger, thereby It avoids the need to manufacture prototypes and use the prototypes to repeatedly conduct experimental tests, reduce test costs, and improve heat exchanger design efficiency.
为达上述目的，本发明第四方面实施例提出了一种换热器设计装置，该换热器设计装置包括：第一构建模块，用于构建虚拟换热器模型和知识图谱；第二构建模块，用于根据所述虚拟换热器模型和所述知识图谱构建换热器方案库；确定模块，用于根据所述换热器方案库和换热器设计需求确定目标换热器的设计方案。In order to achieve the above purpose, a fourth aspect of the present invention provides a heat exchanger design device. The heat exchanger design device includes: a first building module for building a virtual heat exchanger model and a knowledge map; a second building module a module for constructing a heat exchanger scheme library according to the virtual heat exchanger model and the knowledge map; a determination module for determining the design of a target heat exchanger according to the heat exchanger scheme library and heat exchanger design requirements Program.
根据本发明实施例的换热器设计装置，能够根据虚拟换热器模型和知识图谱构建换热器方案库，并根据换热器方案库和换热器设计需求自动确定目标换热器的设计方案，从而避免了制造样机以及利用样机反复进行实验测试，降低了测试成本，提升了换热器设计效率。According to the heat exchanger design device of the embodiment of the present invention, a heat exchanger scheme library can be constructed according to the virtual heat exchanger model and knowledge graph, and the design of the target heat exchanger can be automatically determined according to the heat exchanger scheme library and the heat exchanger design requirements. Therefore, the manufacturing of prototypes and repeated experimental tests using the prototypes are avoided, the test cost is reduced, and the design efficiency of the heat exchanger is improved.
本发明附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本发明的实践了解到。Additional aspects and advantages of the present invention will be set forth, in part, from the following description, and in part will be apparent from the following description, or may be learned by practice of the invention.
附图说明Description of drawings
本申请的上述和/或附加的方面和优点从结合下面附图对实施例的描述中将变得明显和容易理解，其中：The above and/or additional aspects and advantages of the present application will become apparent and readily understood from the following description of embodiments in conjunction with the accompanying drawings, wherein:
图1是根据本发明一个实施例的换热器设计方法的流程示意图；1 is a schematic flowchart of a method for designing a heat exchanger according to an embodiment of the present invention;
图2是根据本发明另一个实施例的换热器设计方法的流程示意图；FIG. 2 is a schematic flowchart of a heat exchanger design method according to another embodiment of the present invention;
图3是根据本发明另一个实施例的换热器设计方法的流程示意图；3 is a schematic flowchart of a heat exchanger design method according to another embodiment of the present invention;
图4是根据本发明一个实施例的换热器设计方法的场景示意图；Fig. 4 is a scene schematic diagram of a heat exchanger design method according to an embodiment of the present invention;
图5是根据本发明一个实施例的电子设备的结构框图；5 is a structural block diagram of an electronic device according to an embodiment of the present invention;
图6是根据本发明一个实施例的换热器设计装置的结构框图。FIG. 6 is a structural block diagram of an apparatus for designing a heat exchanger according to an embodiment of the present invention.
具体实施方式Detailed ways
下面详细描述本发明的实施例，实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，旨在用于解释本发明，而不能理解为对本发明的限制。Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention and should not be construed as limiting the present invention.
为清楚说明本发明实施例的换热器设计方法、装置、电子设备及介质，下面结合图1所示的换热器设计方法的流程示意图进行描述。如图1所示，本申请实施例的换热器设计方法包括以下步骤：In order to clearly illustrate the heat exchanger design method, device, electronic device and medium according to the embodiments of the present invention, the following description is made with reference to the schematic flowchart of the heat exchanger design method shown in FIG. 1 . As shown in FIG. 1 , the heat exchanger design method of the embodiment of the present application includes the following steps:
S11：构建虚拟换热器模型和知识图谱；S11: Build a virtual heat exchanger model and knowledge map;
S13：根据虚拟换热器模型和知识图谱构建换热器方案库；S13: Build a heat exchanger scheme library according to the virtual heat exchanger model and knowledge map;
S15：根据换热器方案库和换热器设计需求确定目标换热器的设计方案。S15: Determine the design scheme of the target heat exchanger according to the heat exchanger scheme library and the heat exchanger design requirements.
根据本发明实施例的换热器设计方法，能够根据虚拟换热器模型和知识图谱构建换热器方案库，并根据换热器方案库和换热器设计需求自动确定目标换热器的设计方案，从而避免了制造样机以及利用样机反复进行实验测试，降低了测试成本，提升了换热器设计效率。可以理解的是，暖通系统中换热器设计变更环节繁复，各种组合无法穷举，制冷剂种类不同，应用场景多样化，为了在复杂应用中保证换热效率和缩减成本，设计难度较大。According to the heat exchanger design method of the embodiment of the present invention, a heat exchanger scheme library can be constructed according to the virtual heat exchanger model and knowledge graph, and the design of the target heat exchanger can be automatically determined according to the heat exchanger scheme library and the heat exchanger design requirements. Therefore, the manufacturing of prototypes and repeated experimental tests using the prototypes are avoided, the test cost is reduced, and the design efficiency of the heat exchanger is improved. It is understandable that the design changes of the heat exchangers in the HVAC system are complicated, the various combinations cannot be exhausted, the types of refrigerants are different, and the application scenarios are diverse. In order to ensure heat exchange efficiency and reduce costs in complex applications, the design is more difficult. big.
具体地，换热器包括但不限于覆盖管翅换热器、微通道换热器、壳管换热器。可以理解的是，对于不同种类的换热器，其换热器结构数据、换热器入口数据、换热器性能数据和换热器出口数据的种类可以不同，因此，可分别构建管翅换热器、微通道换热器、壳管换热器等换热器的虚拟换热器模型。Specifically, the heat exchangers include, but are not limited to, covered tube-fin heat exchangers, microchannel heat exchangers, and shell-and-tube heat exchangers. It can be understood that for different types of heat exchangers, the types of heat exchanger structure data, heat exchanger inlet data, heat exchanger performance data and heat exchanger outlet data can be different. Therefore, tube-fin heat exchangers can be constructed separately. Virtual heat exchanger models for heat exchangers such as heat exchangers, microchannel heat exchangers, shell and tube heat exchangers, etc.
知识图谱，可以理解为换热器的功能分类。换热器方案库，可以理解为，不同功能对应的最优的设计方案。设计方案包括但不限于换热器结构数据、换热器入口数据、换热器性能数据和换热器出口数据。The knowledge map can be understood as the functional classification of heat exchangers. The heat exchanger scheme library can be understood as the optimal design scheme corresponding to different functions. The design scheme includes but is not limited to heat exchanger structure data, heat exchanger inlet data, heat exchanger performance data and heat exchanger outlet data.
请结合图2，换热器方案库可以设置在云端，也可以设置在终端的本地存储器中。当换热器方案库设置在云端时，终端可将用户输入的换热器设计需求发送至云端，云端在接收到换热器设计需求之后，对接收到的换热器设计需求进行功能分解，确定对应的功能，并根据确定的功能从换热器方案库中寻找对应的设计方案作为目标换热器的设计方案，然后云端将获得的目标换热器的设计方案反馈至终端，以使得用户获得目标换热器的设计方案，如此，充分应用云端的计算能力并降低终端的硬件需求，节约终端的存储空间和节省终端的算力。当换热器方案库设置在终端的本地存储器时，终端在确定用户输入的换热器设计需求之后，对接收到的换热器设计需求进行功能分解，确定对应的功能，然后直接调用本地存储的换热器方案库，并根据确定的功能从换热器方案库中寻找对应的设计方案作为目标换热器的设计方案，以及向用户显示该设计方案，如此，能够稳定、快速地获得目标换热器的设计方案。Please refer to Figure 2, the heat exchanger solution library can be set in the cloud or in the local storage of the terminal. When the heat exchanger solution library is set in the cloud, the terminal can send the heat exchanger design requirements input by the user to the cloud. After receiving the heat exchanger design requirements, the cloud decomposes the received heat exchanger design requirements. Determine the corresponding function, and find the corresponding design scheme from the heat exchanger scheme library as the design scheme of the target heat exchanger according to the determined function, and then the cloud will feed back the obtained design scheme of the target heat exchanger to the terminal, so that the user can The design scheme of the target heat exchanger is obtained. In this way, the computing power of the cloud is fully utilized and the hardware requirements of the terminal are reduced, so as to save the storage space of the terminal and save the computing power of the terminal. When the heat exchanger scheme library is set in the local memory of the terminal, after the terminal determines the heat exchanger design requirements input by the user, it decomposes the received heat exchanger design requirements, determines the corresponding functions, and then directly calls the local storage. The heat exchanger scheme library, and according to the determined function, find the corresponding design scheme from the heat exchanger scheme library as the design scheme of the target heat exchanger, and display the design scheme to the user, so that the target can be obtained stably and quickly. heat exchanger design.
终端包括但不限于智能手机、个人计算机、笔记本电脑、平板电脑等。Terminals include, but are not limited to, smart phones, personal computers, notebook computers, tablet computers, and the like.
请参阅图3，在本发明的一些实施例中，步骤S11包括：Referring to FIG. 3, in some embodiments of the present invention, step S11 includes:
S111：初始化预设神经网络模型的参数集；S111: Initialize the parameter set of the preset neural network model;
S113：获取训练样本集，训练样本集包括相对应的换热器结构数据、换热器入口数据、换热器性能数据和换热器出口数据；S113: Obtain a training sample set, where the training sample set includes corresponding heat exchanger structure data, heat exchanger inlet data, heat exchanger performance data, and heat exchanger outlet data;
S115：将换热器结构数据和换热器入口数据作为输入，将换热器性能数据和换热器出口数据作为输出，利用损失函数和优化算法对预设神经网络模型进行训练，以优化参数集中各个参数的参数值；S115: Take the heat exchanger structure data and the heat exchanger inlet data as input, take the heat exchanger performance data and the heat exchanger outlet data as the output, and use the loss function and the optimization algorithm to train the preset neural network model to optimize the parameters Set the parameter value of each parameter;
S117：在训练结果满足预设条件时，根据预设神经网络模型确定虚拟换热器模型。S117: When the training result satisfies the preset condition, determine the virtual heat exchanger model according to the preset neural network model.
如此，根据包含换热器结构和运行工况条件在内的训练样本集，通过训练可靠的高精度预设神经网络模型，构建虚拟换热器模型，实现仿真计算替代实验测试，降低测试成本、加速换热器开发效率。此外，基于训练样本集进行模型训练，支持自适应调节，即随着训练样本集的补充，可以不断提升模型的精度。可以理解，模型经过训练样本集训练后能准确预测换热器性能，在不同工况下模拟实验测试，改变相关技术中制造样机进行换热器设计验证方法，提升设计效率。In this way, according to the training sample set including the structure and operating conditions of the heat exchanger, by training a reliable high-precision preset neural network model, a virtual heat exchanger model is constructed, and simulation calculation can be used to replace experimental testing, reducing testing costs, Speed up heat exchanger development efficiency. In addition, model training based on the training sample set supports adaptive adjustment, that is, with the addition of the training sample set, the accuracy of the model can be continuously improved. It can be understood that the model can accurately predict the performance of the heat exchanger after being trained by the training sample set, simulate experimental tests under different working conditions, and change the method of manufacturing prototypes in related technologies to verify the design of heat exchangers to improve design efficiency.
具体地，在步骤S111中，预设神经网络模型可包括深层神经网络模型。可以理解，采用深层神经网络模型对虚拟换热器进行建模，能够兼顾多样化换热器设计覆盖度和模型计算精度。预设神经网络模型可包括输入层、输出层和位于输入层与输出层之间的隐藏层。层与层之间全连接，第i层的任意一个神经元基于权重向量与第i+1层的任意一个神经元相连。请结合图4，在一个例子中，预设神经网络模型采用深层神经网络模型，设置深层神经网络模型中输入层神经元的个数为4个，设置深层神经网络模型中与输入层连接的第一隐藏层神经元的个数为5个，设置深层神经网络模型中与输出层连接的第二隐藏层神经元的个数为5个，设置深层神经网络模型中输出层神经元的个数为3个，利用预先获取的训练样本集对深层神经网络模型进行训练。Specifically, in step S111, the preset neural network model may include a deep neural network model. It can be understood that the use of the deep neural network model to model the virtual heat exchanger can take into account the design coverage of diversified heat exchangers and the calculation accuracy of the model. The preset neural network model may include an input layer, an output layer, and a hidden layer between the input layer and the output layer. The layers are fully connected, and any neuron in the i-th layer is connected to any neuron in the i+1-th layer based on the weight vector. Please refer to Figure 4. In an example, the preset neural network model adopts a deep neural network model, the number of neurons in the input layer in the deep neural network model is set to 4, and the number of neurons in the input layer in the deep neural network model is set to 4. The number of neurons in one hidden layer is 5, the number of neurons in the second hidden layer connected to the output layer in the deep neural network model is set to 5, and the number of neurons in the output layer in the deep neural network model is set as 3, using the pre-acquired training sample set to train the deep neural network model.
预设神经网络模型的参数集，可以理解为，每层神经网络的权重向量的集合。初始化预设神经网络模型的参数集，可以理解为，为预设神经网络模型的每层神经网络预先配置权重向量。The parameter set of the preset neural network model can be understood as a set of weight vectors of each layer of neural network. Initializing the parameter set of the preset neural network model can be understood as preconfiguring a weight vector for each layer of the neural network of the preset neural network model.
在步骤S113中，训练样本集可以基于仿真得到的仿真数据获得，也可以基于单体的换热器通过不断地改换热器结构、空气侧入口条件和制冷剂侧入口条件获得，在此不作限定。在某些实施例中，将同一时刻采集到的换热器结构数据、换热器入口数据、换热器性能数据和换热器出口数据建立对应关系，然后根据多组预先建立对应关系的换热器结构数据、换热器入口数据、换热器性能数据和换热器出口数据生成训练样本集，从而保证训练样本集中换热器结构数据、换热器入口数据、换热器性能数据和换热器出口数据一一对应。In step S113, the training sample set can be obtained based on the simulation data obtained by the simulation, or can be obtained based on the single heat exchanger by continuously changing the structure of the heat exchanger, the inlet conditions of the air side and the inlet conditions of the refrigerant side. limited. In some embodiments, a corresponding relationship is established between the structure data of the heat exchanger, the inlet data of the heat exchanger, the performance data of the heat exchanger and the data of the outlet of the heat exchanger collected at the same time. The heat exchanger structure data, heat exchanger inlet data, heat exchanger performance data and heat exchanger outlet data generate a training sample set, thereby ensuring that the training sample sets the heat exchanger structure data, heat exchanger inlet data, heat exchanger performance data and The data of the outlet of the heat exchanger corresponds to each other.
在某些实施例中，可以采用主成分分析法(Principal Component Analysis，PCA)对换热器的结构和运行工况条件进行分析和排序，然后根据分析排序结果挑选出与换热器的性能关联程度较高、对换热器的性能影响程度较大的若干种结构参数和运行参数生成训练样本集，从而在保证预设神经网络模型精度和最大化特征的条件下对数据降维，简化模型结构。In some embodiments, principal component analysis (Principal Component Analysis, PCA) can be used to analyze and rank the structure and operating conditions of the heat exchanger, and then select the performance correlation with the heat exchanger according to the analysis and ranking results A training sample set is generated for several structural parameters and operating parameters that have a relatively high degree and have a large impact on the performance of the heat exchanger, so as to reduce the dimension of the data and simplify the model under the condition of ensuring the accuracy of the preset neural network model and maximizing the characteristics. structure.
在本发明的一些实施例中，换热器结构数据包括翅片类型、翅片间距/厚度、盘管管间距/列间距、流路组合、换热器管壁类型。在本发明的一些实施例中，换热器入口数据包括制冷剂侧入口数据和空气侧入口数据，换热器出口数据包括制冷剂侧出口数据和空气侧出口数据。在本发明的一些实施例中，制冷剂侧入口数据包括制冷剂种类、制冷剂侧入口压力、制冷剂侧入口温度和制冷剂侧入口流量，空气侧入口数据数据包括空气温湿度、空气侧入口压力和空气侧入口流量。可以理解的是，制冷剂种类包括但不限于水、冷媒、冷冻剂等，当制冷剂种类为水时，制冷剂侧即水侧。制冷剂侧出口数据可包括制冷剂侧出口压力、制冷剂侧出口温度和制冷剂侧出口流量，空气侧出口数据数据包括空气温湿度、空气侧出口压力和空气侧出口流量。在本发明的一些实施例中，换热器性能数据包括换热量、压降和冷媒充注量。In some embodiments of the present invention, the heat exchanger structure data includes fin type, fin spacing/thickness, coil spacing/column spacing, flow path combination, and heat exchanger tube wall type. In some embodiments of the present invention, the heat exchanger inlet data includes refrigerant side inlet data and air side inlet data, and the heat exchanger outlet data includes refrigerant side outlet data and air side outlet data. In some embodiments of the present invention, the refrigerant-side inlet data includes refrigerant type, refrigerant-side inlet pressure, refrigerant-side inlet temperature, and refrigerant-side inlet flow rate, and the air-side inlet data includes air temperature and humidity, air-side inlet pressure and air side inlet flow. It can be understood that the type of refrigerant includes but is not limited to water, refrigerant, refrigerant, etc. When the type of refrigerant is water, the refrigerant side is the water side. The refrigerant-side outlet data may include refrigerant-side outlet pressure, refrigerant-side outlet temperature, and refrigerant-side outlet flow, and the air-side outlet data include air temperature and humidity, air-side outlet pressure, and air-side outlet flow. In some embodiments of the invention, the heat exchanger performance data includes heat exchange, pressure drop, and refrigerant charge.
在步骤S115中，将换热器结构数据和换热器入口数据输入预设神经网络模型，预设神经网络模型能够输出预测性能数据和预测出口数据，根据损失函数和优化算法对预设神经网络模型的参数集中各个参数的参数值进行调整，以减小输出预测性能数据与换热器性能数据之间的差异，以及预测出口数据与换热器出口数据之间的差异。在某些实施例中，优化算法包括梯度下降算法。可以理解，采用梯度下降算法对预设神经网络模型进行训练，能够较好地优化预设神经网络模型参数集中各个参数的参数值。In step S115, the heat exchanger structure data and the heat exchanger inlet data are input into a preset neural network model, and the preset neural network model can output predicted performance data and predicted outlet data, and the preset neural network is based on the loss function and optimization algorithm. The parameter values of each parameter in the parameter set of the model are adjusted to reduce the difference between the output predicted performance data and the heat exchanger performance data, and the difference between the predicted outlet data and the heat exchanger outlet data. In some embodiments, the optimization algorithm includes a gradient descent algorithm. It can be understood that using the gradient descent algorithm to train the preset neural network model can better optimize the parameter values of each parameter in the preset neural network model parameter set.
在步骤S117中，在训练结果满足预设条件时，停止训练，保留此时参数集中各个参数的参数值，并根据此时参数集中各个参数的参数值生成虚拟换热器模型。在某些实施例中，预设条件包括训练次数达到设定次数，如此，在采用训练样本集对预设神经网络模型训练时，若训练次数达到设定次数，则确定训练结果满足预设条件，可以停止训练并生成虚拟换热器模型。在某些实施例中，预设条件包括损失函数的函数值最小化或收敛，如此，在采用训练样本集对预设神经网络模型训练时，若损失函数的函数值最小化或收敛，则确定训练结果满足预设条件，可以停止训练并生成虚拟换热器模型。具体地，损失函数的函数值最小化，可以理解为损失函数的函数值达到最小。损失函数的函数值收敛，可以理解为损失函数的函数值在预设区间内波动。In step S117, when the training result meets the preset condition, the training is stopped, the parameter value of each parameter in the parameter set at this time is retained, and a virtual heat exchanger model is generated according to the parameter value of each parameter in the parameter set at this time. In some embodiments, the preset condition includes that the number of training times reaches a set number of times. Thus, when using the training sample set to train the preset neural network model, if the number of training times reaches the set number of times, it is determined that the training result satisfies the preset condition. , you can stop training and generate a virtual heat exchanger model. In some embodiments, the preset condition includes minimizing or converging the function value of the loss function. Thus, when using the training sample set to train the preset neural network model, if the function value of the loss function minimizes or converges, then determine If the training result meets the preset conditions, the training can be stopped and a virtual heat exchanger model can be generated. Specifically, the function value of the loss function is minimized, which can be understood as the function value of the loss function reaching the minimum. The convergence of the function value of the loss function can be understood as the function value of the loss function fluctuates within a preset interval.
在本发明的一些实施例中，步骤S11包括：对换热器进行功能分解并生成知识图谱。In some embodiments of the present invention, step S11 includes: decomposing the function of the heat exchanger and generating a knowledge graph.
如此，将换热器分解生成知识图谱，便于通过知识图谱涉及换热器。In this way, the heat exchanger is decomposed to generate a knowledge graph, which is convenient for involving the heat exchanger through the knowledge graph.
具体地，可以根据制冷、制热、制冷剂种类、内机、外机等对换热器进行功能细分。Specifically, the function of the heat exchanger can be subdivided according to cooling, heating, refrigerant type, indoor unit, and outdoor unit.
为了实现上述实施例，本发明实施例还提出了一种计算机可读存储介质，其上存储有换热器设计程序，该换热器设计程序被处理器执行时实现上述任一实施例的换热器设计方法。In order to implement the above-mentioned embodiments, the embodiments of the present invention further provide a computer-readable storage medium on which a heat exchanger design program is stored, and when the heat exchanger design program is executed by a processor, realizes the exchange of any of the above-mentioned embodiments. Heater design method.
根据本发明实施例的计算机可读存储介质，能够根据虚拟换热器模型和知识图谱构建换热器方案库，并根据换热器方案库和换热器设计需求自动确定目标换热器的设计方案，从而避免了制造样机以及利用样机反复进行实验测试，降低了测试成本，提升了换热器设计效率。According to the computer-readable storage medium of the embodiment of the present invention, a heat exchanger scheme library can be constructed according to a virtual heat exchanger model and a knowledge graph, and the design of a target heat exchanger can be automatically determined according to the heat exchanger scheme library and heat exchanger design requirements Therefore, the manufacturing of prototypes and repeated experimental tests using the prototypes are avoided, the test cost is reduced, and the design efficiency of the heat exchanger is improved.
例如，换热器设计程序被处理器执行的情况下，实现以下换热器设计方法的步骤：For example, where a heat exchanger design program is executed by a processor, the following steps of a heat exchanger design method are implemented:
S11：构建虚拟换热器模型和知识图谱；S11: Build a virtual heat exchanger model and knowledge map;
S13：根据虚拟换热器模型和知识图谱构建换热器方案库；S13: Build a heat exchanger scheme library according to the virtual heat exchanger model and knowledge map;
S15：根据换热器方案库和换热器设计需求确定目标换热器的设计方案。S15: Determine the design scheme of the target heat exchanger according to the heat exchanger scheme library and the heat exchanger design requirements.
需要指出的是，上述对换热器设计方法的实施方式和有益效果的解释说明，也适应本发明的计算机可读存储介质，为避免冗余，在此不作详细展开。It should be noted that the above explanations of the embodiments and beneficial effects of the heat exchanger design method are also applicable to the computer-readable storage medium of the present invention, and are not detailed here to avoid redundancy.
为了实现上述实施例，本发明实施例还提出一种电子设备，该电子设备可实现上述任一实施例的换热器设计方法。图5是根据本发明一个实施例的电子设备的结构示意图。如图5所示，本发明提出的服务器100包括存储器102、处理器104及存储在存储器102上并可在处理器104上运行的换热器设计程序106，处理器104执行换热器设计程序106时，实现上述任一实施例的换热器设计方法。In order to implement the above-mentioned embodiments, the embodiments of the present invention further provide an electronic device, which can implement the heat exchanger design method of any of the above-mentioned embodiments. FIG. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in FIG. 5 , the
根据本发明实施例的电子设备100，能够根据虚拟换热器模型和知识图谱构建换热器方案库，并根据换热器方案库和换热器设计需求自动确定目标换热器的设计方案，从而避免了制造样机以及利用样机反复进行实验测试，降低了测试成本，提升了换热器设计效率。According to the
例如，换热器设计程序106被处理器104执行的情况下，实现以下换热器设计方法的步骤：For example, when the heat
S11：构建虚拟换热器模型和知识图谱；S11: Build a virtual heat exchanger model and knowledge map;
S13：根据虚拟换热器模型和知识图谱构建换热器方案库；S13: Build a heat exchanger scheme library according to the virtual heat exchanger model and knowledge map;
S15：根据换热器方案库和换热器设计需求确定目标换热器的设计方案。S15: Determine the design scheme of the target heat exchanger according to the heat exchanger scheme library and the heat exchanger design requirements.
具体地，电子设备100包括但不限于服务器、智能手机、个人计算机、笔记本电脑、平板电脑等。Specifically, the
需要指出的是，上述对换热器设计方法的实施方式和有益效果的解释说明，也适应本发明的电子设备100，为避免冗余，在此不作详细展开。It should be pointed out that the above explanations of the embodiments and beneficial effects of the heat exchanger design method are also applicable to the
为了实现上述实施例，本发明实施例还提出一种换热器设计装置，该换热器设计装置可实现上述任一实施例的换热器设计方法。图6是根据本发明一个实施例的换热器设计装置的结构示意图。如图6所示，本发明提出的换热器设计装置300包括第一构建模块302、第二构建模块304和确定模块306。第一构建模块302用于构建虚拟换热器模型和知识图谱。第二构建模块304用于根据虚拟换热器模型和知识图谱构建换热器方案库。确定模块306用于根据换热器方案库和换热器设计需求确定目标换热器的设计方案。In order to implement the above embodiments, the embodiments of the present invention further provide a heat exchanger design device, which can implement the heat exchanger design method of any of the above embodiments. FIG. 6 is a schematic structural diagram of a heat exchanger design device according to an embodiment of the present invention. As shown in FIG. 6 , the heat
根据本发明实施例的换热器设计装置，能够根据虚拟换热器模型和知识图谱构建换热器方案库，并根据换热器方案库和换热器设计需求自动确定目标换热器的设计方案，从而避免了制造样机以及利用样机反复进行实验测试，降低了测试成本，提升了换热器设计效率。According to the heat exchanger design device of the embodiment of the present invention, a heat exchanger scheme library can be constructed according to the virtual heat exchanger model and knowledge graph, and the design of the target heat exchanger can be automatically determined according to the heat exchanger scheme library and the heat exchanger design requirements. Therefore, the manufacturing of prototypes and repeated experimental tests using the prototypes are avoided, the test cost is reduced, and the design efficiency of the heat exchanger is improved.
在本发明的一些实施例中，第一构建模块302包括初始化单元、获取单元、训练单元和确定单元。初始化单元用于初始化预设神经网络模型的参数集。获取单元用于获取训练样本集，训练样本集包括相对应的换热器结构数据、换热器入口数据、换热器性能数据和换热器出口数据。训练单元用于将换热器结构数据和换热器入口数据作为输入，将换热器性能数据和换热器出口数据作为输出，利用损失函数和优化算法对预设神经网络模型进行训练，以优化参数集中各个参数的参数值。确定单元用于在训练结果满足预设条件时，根据预设神经网络模型确定虚拟换热器模型。In some embodiments of the present invention, the
在本发明的一些实施例中，换热器结构数据包括翅片类型、翅片间距/厚度、盘管管间距/列间距、流路组合、换热器管壁类型。In some embodiments of the present invention, the heat exchanger structure data includes fin type, fin spacing/thickness, coil spacing/column spacing, flow path combination, and heat exchanger tube wall type.
在本发明的一些实施例中，换热器入口数据包括制冷剂侧入口数据和空气侧入口数据，换热器出口数据包括制冷剂侧出口数据和空气侧出口数据。In some embodiments of the present invention, the heat exchanger inlet data includes refrigerant side inlet data and air side inlet data, and the heat exchanger outlet data includes refrigerant side outlet data and air side outlet data.
在本发明的一些实施例中，制冷剂侧入口数据包括制冷剂种类、制冷剂侧入口压力、制冷剂侧入口温度和制冷剂侧入口流量，空气侧入口数据数据包括空气温湿度、空气侧入口压力和空气侧入口流量。In some embodiments of the present invention, the refrigerant-side inlet data includes refrigerant type, refrigerant-side inlet pressure, refrigerant-side inlet temperature, and refrigerant-side inlet flow rate, and the air-side inlet data includes air temperature and humidity, air-side inlet pressure and air side inlet flow.
在本发明的一些实施例中，换热器性能数据包括换热量、压降和冷媒充注量。In some embodiments of the invention, the heat exchanger performance data includes heat exchange, pressure drop, and refrigerant charge.
在本发明的一些实施例中，第一构建模块302还用于对换热器进行功能分解并生成知识图谱。In some embodiments of the present invention, the
需要指出的是，上述对换热器设计方法的实施方式和有益效果的解释说明，也适应本发明的换热器设计装置300，为避免冗余，在此不作详细展开。It should be pointed out that the above explanations of the embodiments and beneficial effects of the heat exchanger design method are also applicable to the heat
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不一定指的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。In the description of this specification, description with reference to the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples", etc., mean specific features described in connection with the embodiment or example , structure, material or feature is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
此外，本发明实施例中所使用的“第一”、“第二”等术语，仅用于描述目的，而不可以理解为指示或者暗示相对重要性，或者隐含指明本实施例中所指示的技术特征数量。由此，本发明实施例中限定有“第一”、“第二”等术语的特征，可以明确或者隐含地表示该实施例中包括至少一个该特征。在本发明的描述中，词语“多个”的含义是至少两个或者两个及以上，例如两个、三个、四个等，除非实施例中另有明确具体的限定。In addition, terms such as "first" and "second" used in the embodiments of the present invention are only used for the purpose of description, and should not be understood as indicating or implying relative importance, or implicitly indicating the instructions in this embodiment. number of technical features. Therefore, the features defined by terms such as "first" and "second" in the embodiments of the present invention may expressly or implicitly indicate that at least one of the features is included in the embodiment. In the description of the present invention, the word "plurality" means at least two or more than two, such as two, three, four, etc., unless otherwise explicitly and specifically defined in the embodiments.
尽管上面已经示出和描述了本发明的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本发明的限制，本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。Although the embodiments of the present invention have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Embodiments are subject to variations, modifications, substitutions and variations.
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