Method and device for performance prediction of centrifugal refrigeration machine, electronic equipment and storage medium

Abstract

The embodiment of the application provides a kind of centrifugal refrigeration machine performance prediction method and device, electronic equipment and storage medium, belong to refrigeration machine test technical field.The method comprises: obtaining the compressor basic parameter of target centrifugal refrigeration machine, compressor multi-working condition performance test data and refrigerant thermophysical property parameter;Based on compressor basic parameter and compressor multi-working condition performance test data, carry out dimensionless processing, obtain compressor general characteristic function;Based on refrigerant thermophysical property parameter, carry out data fitting processing, obtain refrigerant thermophysical property model;Obtain the target working condition parameter of target centrifugal refrigeration machine;Based on compressor general characteristic function, refrigerant thermophysical property model and target working condition parameter, determine the target working condition core parameter of target centrifugal refrigeration machine;Based on target working condition core parameter, the performance of target centrifugal refrigeration machine is predicted, and refrigeration machine visual performance data are obtained.The embodiment of the application can improve the performance prediction accuracy of centrifugal refrigeration machine.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of refrigerator testing, in particular to a centrifugal refrigerator performance prediction method and device, electronic equipment and storage medium. BACKGROUND

[0002] The centrifugal refrigerator performance prediction is used to calculate the energy efficiency, total refrigeration capacity and input electric power of the centrifugal refrigerator under the current working condition according to the known refrigerant parameters. For example, for the centrifugal refrigerator running in a shopping mall, the centrifugal refrigerator performance prediction can be performed without configuring an energy meter to measure the refrigeration capacity data, so as to facilitate the operation personnel to quickly understand the state of the centrifugal refrigerator and optimize the system operation parameters.

[0003] At present, many running refrigeration system sites do not install energy meters or do not have conditions to install energy meters, so that the real-time energy efficiency of the refrigeration machine cannot be obtained by measuring the refrigeration capacity. The running refrigeration system with the condition of installing the energy meter usually realizes the performance prediction of the centrifugal refrigerator according to the experience fitting model or the measured data table lookup. However, the experience fitting model will be invalid due to the different configurations or working conditions of the centrifugal refrigerator, thereby reducing the accuracy of the performance prediction of the centrifugal refrigerator. Therefore, how to improve the performance prediction accuracy of the centrifugal refrigerator has become a technical problem to be solved. SUMMARY

[0004] The main purpose of the embodiments of the present application is to provide a centrifugal refrigerator performance prediction method and device, electronic equipment and storage medium, which aims to improve the performance prediction accuracy of the centrifugal refrigerator.

[0005] To achieve the above purpose, a centrifugal refrigerator performance prediction method is provided in the first aspect of the embodiments of the present application. The method comprises:

[0006] Obtaining compressor basic parameters, compressor multi-working condition performance test data and refrigerant thermophysical property parameters of a target centrifugal refrigerator;

[0007] Based on the compressor basic parameters and the compressor multi-working condition performance test data, performing dimensionless processing to obtain a compressor universal characteristic function;

[0008] Based on the refrigerant thermophysical property parameters, performing data fitting processing to obtain a refrigerant thermophysical property model;

[0009] Obtaining target working condition parameters of the target centrifugal refrigerator;

[0010] Based on the compressor universal characteristic function, the refrigerant thermophysical property model and the target working condition parameters, determining target working condition core parameters of the target centrifugal refrigerator;

[0011] Based on the target working condition core parameter, the performance of the target centrifugal refrigeration machine is predicted to obtain refrigeration machine visualized performance data.

[0012] In some embodiments, the target working condition parameters include working condition temperature parameters and inlet guide vane opening, and the target working condition core parameter of the target centrifugal refrigeration machine is determined based on the compressor general characteristic function, the refrigerant thermophysical property model and the target working condition parameters, including:

[0013] Based on the working condition temperature parameters, the inlet guide vane opening and the compressor general characteristic function, mechanical performance parameter prediction of the target centrifugal refrigeration machine is performed to obtain compressor gas dynamics performance parameters;

[0014] Based on the refrigerant thermophysical property model and the working condition temperature parameters, thermodynamic performance parameter prediction of the target centrifugal refrigeration machine is performed to obtain refrigerant thermodynamic process parameters;

[0015] Based on the compressor gas dynamics performance parameters, parameter correction of the refrigerant thermodynamic process parameters is performed to obtain refrigerant thermodynamic process correction parameters;

[0016] The compressor gas dynamics performance parameters and the refrigerant thermodynamic process correction parameters are parameter embedded and combined to obtain the target working condition core parameter.

[0017] In some embodiments, based on the working condition temperature parameters, the inlet guide vane opening and the compressor general characteristic function, mechanical performance parameter prediction of the target centrifugal refrigeration machine is performed to obtain compressor gas dynamics performance parameters, including:

[0018] Based on the refrigerant thermophysical property model and the working condition temperature parameters, compressor pressure ratio data is determined;

[0019] Based on the compressor general characteristic function, the compressor pressure ratio data and the inlet guide vane opening, flow coefficient calculation of the target centrifugal refrigeration machine is performed to obtain a dimensionless flow coefficient;

[0020] Based on the compressor general characteristic function, the compressor pressure ratio data and the inlet guide vane opening, isentropic compression efficiency of the target centrifugal refrigeration machine is determined;

[0021] The dimensionless flow coefficient and the isentropic compression efficiency are parameter combined to obtain the compressor gas dynamics performance parameters.

[0022] In some embodiments, based on the refrigerant thermophysical property model and the working condition temperature parameters, thermodynamic performance parameter prediction of the target centrifugal refrigeration machine is performed to obtain refrigerant thermodynamic process parameters, including:

[0023] based on the working condition temperature parameter, performing parameter prediction on the refrigerant thermodynamic model to obtain an evaporator saturated gaseous specific enthalpy, a compressor outlet isentropic state gaseous specific enthalpy, and a condenser saturated liquid specific enthalpy;

[0024] performing difference calculation on the evaporator saturated gaseous specific enthalpy and the condenser saturated liquid specific enthalpy to obtain a refrigerant unit refrigeration capacity;

[0025] performing difference calculation on the evaporator saturated gaseous specific enthalpy and the compressor outlet isentropic state gaseous specific enthalpy to obtain a refrigerant unit isentropic compression work;

[0026] performing parameter merging on the refrigerant unit refrigeration capacity and the refrigerant unit isentropic compression work to obtain the refrigerant thermodynamic process parameter.

[0027] In some embodiments, the target working condition core parameter includes the dimensionless flow coefficient and the refrigerant thermodynamic process correction parameter, and the performance prediction on the target centrifugal refrigeration machine based on the target working condition core parameter to obtain the refrigeration machine visualized performance data includes:

[0028] performing energy efficiency calculation on the target centrifugal refrigeration machine based on the refrigerant thermodynamic process correction parameter to obtain refrigeration machine actual energy efficiency data;

[0029] performing refrigeration capacity calculation on the target centrifugal refrigeration machine based on the dimensionless flow coefficient, the compressor basic parameter, and the refrigerant unit refrigeration capacity to obtain refrigeration machine total refrigeration data;

[0030] performing input electric power calculation on the target centrifugal refrigeration machine based on the refrigeration machine actual energy efficiency data and the refrigeration machine total refrigeration data to obtain refrigeration machine input electric power;

[0031] performing data visualized processing on the refrigeration machine actual energy efficiency data, the refrigeration machine total refrigeration data, and the refrigeration machine input electric power to obtain the refrigeration machine visualized performance data.

[0032] In some embodiments, the energy efficiency calculation on the target centrifugal refrigeration machine based on the refrigerant thermodynamic process correction parameter to obtain refrigeration machine actual energy efficiency data includes:

[0033] performing theoretical energy consumption calculation on the target centrifugal refrigeration machine based on the refrigerant thermodynamic process correction parameter to obtain refrigeration machine theoretical energy efficiency data;

[0034] performing data optimization on the refrigeration machine theoretical energy consumption data based on preset refrigeration machine machine parameters to obtain the refrigeration machine actual energy efficiency data.

[0035] In some embodiments, the refrigeration capacity of the target centrifugal refrigeration machine is calculated based on the dimensionless flow coefficient, the compressor basic parameters and the refrigerant unit refrigeration capacity to obtain total refrigeration data of the refrigeration machine, including:

[0036] The refrigerant mass flow of the target centrifugal refrigeration machine is calculated based on the dimensionless flow coefficient and the compressor basic parameters to obtain refrigerant mass flow data;

[0037] The total refrigeration data of the refrigeration machine is determined based on the refrigerant mass flow data and the refrigerant unit refrigeration capacity.

[0038] To achieve the above-mentioned purpose, the second aspect of the embodiment of the present application proposes a performance prediction device of a centrifugal refrigeration machine, the device comprising:

[0039] A parameter acquisition module is configured to acquire compressor basic parameters, compressor multi-working condition performance test data and refrigerant thermophysical property parameters of a target centrifugal refrigeration machine;

[0040] A function generation module is configured to perform dimensionless processing based on the compressor basic parameters and the compressor multi-working condition performance test data to obtain a compressor general characteristic function;

[0041] A model construction module is configured to perform data fitting processing based on the refrigerant thermophysical property parameters to obtain a refrigerant thermophysical property model;

[0042] A working condition acquisition module is configured to acquire target working condition parameters of the target centrifugal refrigeration machine;

[0043] A parameter calculation module is configured to determine target working condition core parameters of the target centrifugal refrigeration machine based on the compressor general characteristic function, the refrigerant thermophysical property model and the target working condition parameters;

[0044] A performance prediction module is configured to perform performance prediction on the target centrifugal refrigeration machine based on the target working condition core parameters to obtain visualized performance data of the refrigeration machine.

[0045] To achieve the above-mentioned purpose, the third aspect of the embodiment of the present application proposes an electronic device, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the method of the first aspect when executing the computer program.

[0046] To achieve the above-mentioned purpose, the fourth aspect of the embodiment of the present application proposes a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method of the first aspect.

[0047] The centrifugal refrigerator performance prediction method and device, the electronic equipment and the storage medium provided by the application, by obtaining the compressor basic parameters of the target centrifugal refrigerator, the compressor multi-working condition performance test data and the refrigerant thermophysical property parameters, provide data basis for performance prediction, thereby ensuring the accuracy of performance prediction, then, based on the compressor basic parameters and the compressor multi-working condition performance test data, non-dimensional processing is carried out, the influence of the individual factors such as the equipment size and the specific working condition of the target centrifugal refrigerator on the performance prediction is eliminated, the universality of the obtained compressor universal characteristic function is improved, thereby improving the performance prediction efficiency of the centrifugal refrigerator, then, based on the refrigerant thermophysical property parameters, data fitting processing is carried out, and the refrigerant thermophysical property model is obtained, which can accurately fit the thermodynamic characteristics of the refrigerant under different working conditions, thereby providing accurate parameter basis for the performance prediction of the centrifugal refrigerator, finally, the target working condition parameters of the target centrifugal refrigerator are obtained, and based on the compressor universal characteristic function, the refrigerant thermophysical property model and the target working condition parameters, the target working condition core parameters of the target centrifugal refrigerator are determined, and then based on the target working condition core parameters, the performance of the target centrifugal refrigerator is predicted, and the visual performance data of the refrigerator is obtained, thereby improving the performance prediction efficiency of the centrifugal refrigerator, in addition, since the compressor universal characteristic function and the refrigerant thermophysical property model have universality, the performance prediction accuracy of the centrifugal refrigerator is also improved. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 is a flowchart of the centrifugal refrigerator performance prediction method provided by the application embodiment;

[0049] Figure 2 is Figure 1 a flowchart of step S105 in

[0050] Figure 3 is Figure 2 a flowchart of step S201 in

[0051] Figure 4 is Figure 2 a flowchart of step S202 in

[0052] Figure 5 is Figure 1 a flowchart of step S106 in

[0053] Figure 6 is Figure 5 a flowchart of step S501 in

[0054] Figure 7 is Figure 5 a flowchart of step S502 in

[0055] Figure 8is a structural schematic diagram of a performance prediction device of a centrifugal refrigerator provided by an embodiment of the present application.

[0056] Figure 9 is a hardware structure schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0058] It should be noted that although the functional modules are divided in the device schematic diagram, and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a manner different from the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification and claims and the above-described drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence.

[0059] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0060] First, the meanings of several terms involved in the present application are analyzed:

[0061] Centrifugal refrigerator: a centrifugal refrigerator is a refrigeration device with a centrifugal compressor as the core power component. The working principle of the centrifugal refrigerator is to drive the compressor impeller to rotate at high speed by the motor, and to use the centrifugal force to suck and compress the refrigerant into a high-temperature and high-pressure gas state. After being cooled and condensed into a liquid state by the condenser, the low-temperature and low-pressure wet steam is formed by the throttling device, and then enters the evaporator to absorb the heat of the cooled object to realize refrigeration. Finally, the refrigerant returns to the compressor to complete the cycle. The centrifugal refrigerator has the characteristics of large refrigerating capacity, high running efficiency, small vibration, compact structure, etc., and is widely used in large-scale refrigeration scenes such as large shopping malls, office buildings, industrial plants, etc. The core relies on the synergistic effect of the phase change thermodynamic properties of the refrigerant and the fluid dynamic properties of the compressor to realize the refrigeration function.

[0062] Compressor: The compressor is a kind of fluid machinery that can improve the low pressure gas to high pressure gas, and is also the core power component in the fields of refrigeration system, power system and the like. The core working principle of the compressor is that the internal rotor (such as impeller, piston and the like) is driven to rotate by a motor, an internal combustion engine or the like, the volume of the fluid is compressed by mechanical work, the density of the gas molecules in the unit volume is increased, and thus the pressure and temperature of the gas are increased. According to the structural form, the compressor can be divided into centrifugal type, piston type, screw type and the like. The centrifugal compressor realizes the gas compression by centrifugal force generated by high-speed rotation of the impeller, has the characteristics of large processing capacity and stable operation, and is widely used in centrifugal refrigerators and large industrial power systems. The performance of the compressor directly determines the efficiency, energy consumption and operation stability of the whole system, and is the key equipment for protecting the circulation and energy conversion of the fluid medium.

[0063] The centrifugal refrigerator performance prediction is used to calculate the energy efficiency, total refrigeration capacity and input electric power of the centrifugal refrigerator under the current working condition according to the known refrigerant parameters. For example, for the centrifugal refrigerator running in a shopping mall, the centrifugal refrigerator performance prediction can be performed without configuring an energy meter to measure the refrigeration capacity data, so as to facilitate the operation personnel to quickly understand the state of the centrifugal refrigerator and optimize the system operation parameters.

[0064] At present, many running refrigeration systems do not have an energy meter installed or do not have conditions to install an energy meter, so that the real-time energy efficiency of the refrigeration machine cannot be obtained by measuring the refrigeration capacity. The running refrigeration systems with an energy meter installed or having conditions to install an energy meter usually realize the performance prediction of the centrifugal refrigerator according to an experience fitting model or measured data table lookup. However, the experience fitting model will be invalid due to different configurations or working conditions of the centrifugal refrigerator, thereby reducing the accuracy of the performance prediction of the centrifugal refrigerator. Therefore, how to improve the performance prediction accuracy of the centrifugal refrigerator has become a technical problem to be solved.

[0065] Based on this, the embodiment of the present application provides a centrifugal refrigerator performance prediction method and device, electronic equipment and storage medium, which aims to improve the performance prediction accuracy of the centrifugal refrigerator.

[0066] The centrifugal refrigerator performance prediction method and device, electronic equipment and storage medium provided by the embodiment of the present application are specifically explained by the following embodiment. First, the centrifugal refrigerator performance prediction method in the embodiment of the present application is described.

[0067] The embodiments of the present application can acquire and process related data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system of using digital computers or machine controlled by digital computers to simulate, extend and expand human intelligence, perceive environment, acquire knowledge and use knowledge to obtain the best results.

[0068] The basic technology of artificial intelligence generally includes technologies such as sensors, special artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction system, mechatronics, etc. The software technology of artificial intelligence mainly includes computer vision technology, robot technology, biometric technology, speech processing technology, natural language processing technology, and machine learning / deep learning, etc.

[0069] The performance prediction method of the centrifugal refrigeration machine provided by the embodiments of the present application relates to the technical field of refrigeration machine testing. The performance prediction method of the centrifugal refrigeration machine provided by the embodiments of the present application can be applied in a terminal, can also be applied in a server end, and can also be software running in a terminal or a server end. In some embodiments, the terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc.; the server end can be configured as an independent physical server, can also be configured as a server cluster or a distributed system composed of multiple physical servers, can also be configured as a cloud server providing basic cloud computing services such as cloud service, cloud database, cloud computing, cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, and big data and artificial intelligence platform; and the software can be an application for implementing the performance prediction method of the centrifugal refrigeration machine, etc., but is not limited to the above forms.

[0070] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in a distributed computing environment in which tasks are performed by remote processing devices connected by a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0071] Figure 1is an optional flowchart of the performance prediction method of the centrifugal refrigerator provided by the embodiment of the present application, and the performance prediction method of the centrifugal refrigerator can be applied to the centrifugal refrigerator, Figure 1 The method in the embodiment of the present application can include but is not limited to steps S101 to S106.

[0072] In step S101, the compressor basic parameters, the compressor multi-working condition performance test data and the refrigerant thermophysical property parameters of the target centrifugal refrigerator are obtained.

[0073] In step S102, the dimensionless processing is performed based on the compressor basic parameters and the compressor multi-working condition performance test data to obtain the compressor universal characteristic function.

[0074] In step S103, the data fitting processing is performed based on the refrigerant thermophysical property parameters to obtain the refrigerant thermophysical property model.

[0075] In step S104, the target working condition parameters of the target centrifugal refrigerator are obtained.

[0076] In step S105, the target working condition core parameters of the target centrifugal refrigerator are determined based on the compressor universal characteristic function, the refrigerant thermophysical property model and the target working condition parameters.

[0077] In step S106, the performance prediction of the target centrifugal refrigerator is performed based on the target working condition core parameters to obtain the refrigerant visualized performance data.

[0078] The steps S101 to S105 shown in the embodiment of the present application obtain the compressor basic parameters, the compressor multi-working condition performance test data and the refrigerant thermophysical property parameters of the target centrifugal refrigerator, which provides the data basis for the performance prediction, thereby ensuring the accuracy of the performance prediction. Then, the dimensionless processing is performed based on the compressor basic parameters and the compressor multi-working condition performance test data to eliminate the influence of the equipment size, the specific working condition and other individual factors of the target centrifugal refrigerator on the performance prediction, thereby improving the universality of the obtained compressor universal characteristic function and the performance prediction efficiency of the centrifugal refrigerator. Next, the data fitting processing is performed based on the refrigerant thermophysical property parameters to obtain the refrigerant thermophysical property model, which can accurately fit the thermodynamic characteristics of the refrigerant under different working conditions, thereby providing accurate parameter basis for the performance prediction of the centrifugal refrigerator. Finally, the target working condition parameters of the target centrifugal refrigerator are obtained, and the target working condition core parameters of the target centrifugal refrigerator are determined based on the compressor universal characteristic function, the refrigerant thermophysical property model and the target working condition parameters. Then, the performance prediction of the target centrifugal refrigerator is performed based on the target working condition core parameters to obtain the refrigerant visualized performance data, thereby improving the performance prediction efficiency of the centrifugal refrigerator. In addition, since the compressor universal characteristic function and the refrigerant thermophysical property model have universality, the performance prediction accuracy of the centrifugal refrigerator is also improved.

[0079] In step S101 of some embodiments, the target centrifugal refrigeration machine refers to a centrifugal refrigeration machine that needs to be predicted in performance, and is the exclusive object of the entire performance prediction process. For example, in the performance test and operation and maintenance scene of the centrifugal refrigeration machine, the target centrifugal refrigeration machine can be a certain type of centrifugal refrigeration machine that is running in a shopping mall central air conditioning system, or a newly developed centrifugal refrigeration machine prototype that needs to be tested for performance in a factory.

[0080] The compressor basic parameters refer to a set of core parameters that can reflect the inherent structure and operation control attributes of the compressor in the target centrifugal refrigeration machine, such as the compressor impeller tip diameter, the compressor rated speed, and the inlet guide vane opening adjustment range.

[0081] The compressor multi-working condition performance test data refers to a set of measured data that reflects the working performance of the compressor in the target centrifugal refrigeration machine, which is obtained by on-site testing or provided by the manufacturer under different operating conditions, such as the refrigerant mass flow rate, the compressor pressure ratio, and the single-stage isentropic compression efficiency, which are measured by the compressor evaporator and the compressor evaporator condenser under different temperatures, pressures, densities, and inlet guide vane opening degrees in the compressor characteristic curve calibration scene.

[0082] The refrigerant thermophysical property parameters refer to a set of parameters that reflect the thermodynamic properties of the refrigerant in the target centrifugal refrigeration machine, which can include the corresponding relationship data of temperature and pressure, temperature and specific enthalpy, and pressure and specific entropy, such as the corresponding saturated pressure value, saturated gas specific enthalpy value, and superheated steam specific entropy value of R134a refrigerant in the temperature range of -10℃ to 60℃ in the refrigerant thermodynamic property analysis scene.

[0083] In the embodiments of the present application, the compressor basic parameters can be obtained by querying the equipment technical materials of the target centrifugal refrigeration machine and physically mapping the target centrifugal refrigeration machine. Specifically, the geometric parameters of the compressor, such as the impeller tip diameter, the impeller inlet diameter, and the number of compressor stages, can be directly extracted from the technical manual, the equipment factory nameplate, or the design drawings of the target centrifugal compressor. At the same time, the operating control parameters of the target centrifugal compressor, such as the inlet guide vane opening adjustment range, the compressor rated speed, and the design pressure ratio range, can be obtained from the equipment operation manual or the control system parameter configuration of the target centrifugal compressor. Finally, to ensure the accuracy of the obtained compressor basic parameters, the target centrifugal refrigeration machine can be mapped using mapping tools to supplement or correct the compressor basic parameters.

[0084] Further, the embodiment of the present application can obtain the compressor multi-working condition performance test data through actual measurement collection or manufacturer-provided data conversion. Specifically, the actual measurement collection can simulate different refrigeration working conditions by building a test platform, set test working condition points in combination with different inlet guide vane opening combinations, measure the refrigerant mass flow rate of each test working condition point through a flow meter, measure the compressor inlet and outlet pressure of each test working condition point through a pressure sensor, measure the inlet and outlet temperature of each test working condition point through a temperature sensor, and finally collect all the data to obtain the compressor multi-working condition performance test data. In addition, the manufacturer-provided data conversion can extract discrete data points in the manufacturer-provided data through a curve digitization tool and convert them into a multi-working condition performance test data set to obtain the compressor multi-working condition performance test data.

[0085] In the embodiment of the present application, the basic thermophysical property data of the refrigerant in the target centrifugal refrigeration machine can be directly called from an international authoritative refrigerant thermophysical property database or a refrigerant technical manual to obtain the refrigerant thermophysical property parameters.

[0086] In step S102 of some embodiments, the compressor universal characteristic function refers to a function model reflecting the corresponding relationship between the performance parameters of the compressor.

[0087] In the embodiment of the present application, the compressor multi-working condition performance test data can be extracted to determine the refrigerant mass flow rate, compressor inlet stagnation temperature, compressor inlet stagnation pressure, compressor inlet stagnation density and other data under each working condition. In addition, the compressor impeller tip diameter needs to be extracted from the compressor basic parameters, and the gas constant and isentropic compression coefficient of the refrigerant in the target centrifugal refrigeration machine are also needed. Further, according to the extracted data and the dimensionless mass flow coefficient calculation formula and the dimensionless pressure ratio calculation formula, the dimensionless mass flow coefficient and pressure ratio of the compressor in the target centrifugal refrigeration machine under each working condition can be calculated. In addition, to eliminate the influence of the inlet state of the compressor on the universal characteristic curve and adapt to the scene of refrigeration evaporator temperature and refrigerant type change, the dimensionless data such as mass flow coefficient and pressure ratio calculated can be grouped according to the inlet guide vane opening to form a dimensionless data set under different inlet guide vane openings. Then, a function with mass flow coefficient as independent variable and pressure ratio as dependent variable can be constructed through curve fitting according to the dimensionless data set under different inlet guide vane openings to obtain the pressure ratio universal characteristic function. Finally, the pressure ratio universal characteristic function and other functions are put into the same function set to obtain the compressor universal characteristic function.

[0088] It should be noted that the dimensionless mass flow coefficient calculation formula in the embodiment of the present application is as follows:

[0089]

[0090] wherein, represents a mass flow coefficient, represents a mass flow of refrigerant, represents a compressor inlet stagnation density, represents a compressor inlet stagnation speed, represents an impeller tip diameter, represents a compressor base parameter, represents a compressor inlet stagnation temperature, represents a compressor inlet stagnation pressure.

[0091] The dimensionless pressure ratio calculation formula is as follows:

[0092]

[0093] wherein, represents a pressure ratio of a compressor in a target centrifugal refrigeration machine, represents a saturation pressure data of a condenser, represents a saturation pressure data of an evaporator.

[0094] In step S103 of some embodiments, the refrigerant thermophysical property model refers to a model reflecting the fixed corresponding rules between refrigerant thermophysical property parameters, which is the same as the compressor general characteristic function, and the refrigerant thermophysical property model is only adapted to the same refrigerant. It should be noted that the refrigerant thermophysical property model includes a temperature and pressure correlation sub-model and a specific enthalpy and temperature correlation sub-model.

[0095] In the embodiments of the present application, after obtaining the refrigerant thermophysical property parameters, different functions can be selected as fitting functions according to different parameter relationships such as temperature and pressure, temperature and specific enthalpy, and pressure and specific entropy, for example, different two-element multiple functions. Then, the least square method can be used to calculate the coefficients of the selected fitting functions according to the obtained refrigerant thermophysical property parameters, that is, the fitting coefficients are obtained, and the functional relationship between different parameter relationships such as temperature and pressure, temperature and specific enthalpy, and pressure and specific entropy, that is, the refrigerant thermophysical property model, is determined.

[0096] In step S104 of some embodiments, the target working condition parameter refers to the specific operating boundary condition parameter corresponding to the target centrifugal refrigeration machine during performance prediction. The target working condition parameter includes working condition temperature parameters and compressor operation control parameters, wherein the working condition temperature parameters are related to the evaporator saturation temperature and the condenser saturation temperature of the refrigeration cycle, and the compressor operation control parameters can be the inlet guide vane opening, the evaporator superheat degree and other parameters.

[0097] In the embodiments of the present application, the working condition temperature parameters of the target centrifugal chiller can be directly measured by the temperature sensors installed in the evaporator, the condenser shell or the refrigerant pipeline of the target centrifugal chiller. If only the refrigerant pressures of the evaporator and the condenser of the target centrifugal chiller can be collected under the condition limitation, the corresponding evaporator saturation temperature and condenser saturation temperature can be calculated from the refrigerant pressures of the evaporator and the condenser by using the fitting function of temperature and pressure in the refrigerant thermophysical property model.

[0098] Meanwhile, the opening value of the inlet guide vane at the current time node can be directly read from the control system, the touch screen or the upper computer monitoring system of the target centrifugal chiller, so as to obtain the compressor operation control parameter. In another embodiment of the present application, the actual rotation angle of the inlet guide vane can be collected from the angle sensor installed on the inlet guide vane, and the opening of the inlet guide vane, i.e., the compressor operation control parameter, can be converted by using the conversion formula.

[0099] It should be noted that in addition to the opening of the inlet guide vane, the superheat degree of the evaporator also needs to be obtained. Specifically, the actual temperature of the gaseous refrigerant at the outlet of the evaporator and the saturation temperature of the evaporator can be obtained by using the temperature sensor, and the difference between the actual temperature and the saturation temperature of the evaporator can be calculated, so as to obtain the superheat degree of the evaporator in the compressor operation control parameter.

[0100] In step S105 of some embodiments, the target working condition core parameter refers to a set of key intermediate parameters supporting the performance prediction of the target centrifugal chiller.

[0101] In the embodiments of the present application, the working condition temperature parameters and the opening of the inlet guide vane in the target working condition parameters can be used to predict the compressor gas dynamics performance parameters by using the compressor general characteristic function. Secondly, the refrigeration thermodynamic process parameters can be predicted by using the refrigerant thermophysical property model according to the working condition temperature parameters, and the refrigeration thermodynamic process parameters can be corrected by the compressor gas dynamics performance parameters to obtain the refrigeration thermodynamic process correction parameters. Finally, the compressor gas dynamics performance parameters and the refrigeration thermodynamic process correction parameters can be combined to obtain the target working condition core parameter.

[0102] In detail, please refer to Figure 2 In some embodiments, the target working condition parameters include the working condition temperature parameters and the opening of the inlet guide vane, and step S105 can include but is not limited to steps S201 to S204:

[0103] In step S201, the mechanical performance parameters of the target centrifugal chiller are predicted based on the working condition temperature parameters, the opening of the inlet guide vane and the compressor general characteristic function, so as to obtain the compressor gas dynamics performance parameters.

[0104] In step S202, the thermodynamic performance parameters of the target centrifugal refrigeration machine are predicted based on the refrigerant thermophysical property model and the working condition temperature parameters, and refrigerant thermodynamic process parameters are obtained.

[0105] In step S203, the refrigerant thermodynamic process parameters are corrected based on the compressor gas dynamics performance parameters, and refrigerant thermodynamic process correction parameters are obtained.

[0106] In step S204, the compressor gas dynamics performance parameters and the refrigerant thermodynamic process correction parameters are embedded and combined, and target working condition core parameters are obtained.

[0107] In step S201 of some embodiments, the compressor gas dynamics performance parameters refer to a set of core parameters that can reflect the mechanical operating state of the compressor.

[0108] In the embodiments of the present application, the compression ratio of the compressor can be determined according to the refrigerant thermophysical property model and the working condition temperature parameters. Then, the compression ratio of the compressor is combined with the above-mentioned compressor general characteristic function and the inlet guide vane opening, and the dimensionless flow coefficient and the isentropic compression efficiency of the target centrifugal refrigeration machine can be calculated. Finally, the dimensionless flow coefficient and the isentropic compression efficiency are combined to obtain the compressor gas dynamics performance parameters of the target centrifugal refrigeration machine.

[0109] In detail, please refer to Figure 3 In some embodiments, step S201 can include but is not limited to steps S301 to S304:

[0110] In step S301, the compression ratio data of the compressor is determined based on the refrigerant thermophysical property model and the working condition temperature parameters.

[0111] In step S302, the flow coefficient of the target centrifugal refrigeration machine is calculated based on the compressor general characteristic function, the compression ratio data of the compressor and the inlet guide vane opening, and the dimensionless flow coefficient is obtained.

[0112] In step S303, the isentropic compression efficiency of the target centrifugal refrigeration machine is determined based on the compressor general characteristic function, the compression ratio data of the compressor and the inlet guide vane opening.

[0113] In step S304, the dimensionless flow coefficient and the isentropic compression efficiency are combined to obtain the compressor gas dynamics performance parameters.

[0114] In step S301 of some embodiments, the compression ratio data of the compressor refers to core data that can reflect the ratio of the inlet pressure to the outlet pressure of the compressor. The compression ratio data of the compressor can be obtained by calculating the ratio of the condenser saturation pressure to the evaporator saturation pressure.

[0115] In the embodiments of the present application, the evaporator saturation temperature and the condenser saturation temperature can be extracted from the working condition temperature parameters, and the evaporator saturation temperature and the condenser saturation temperature are respectively converted into the corresponding evaporator saturation pressure and the condenser saturation pressure through the fitting function of temperature and pressure in the refrigerant thermophysical property model. Further, the compressor pressure ratio is calculated according to the above dimensionless pressure ratio calculation formula, and the compressor pressure ratio data can be obtained.

[0116] In step S302 of some embodiments, the dimensionless flow coefficient refers to the ratio of the actual flow of the compressor to the reference flow, wherein the actual flow refers to the actual refrigerant mass flow rate through the compressor per unit time of the target centrifugal compressor under the current working condition, which is a real flow value measured or calculated through the working condition parameters during the operation of the compressor, and the reference flow is a reference flow set artificially, which is usually the theoretical maximum possible flow through the compressor impeller tip channel.

[0117] In the embodiments of the present application, the corresponding compressor general characteristic function can be called according to the inlet guide vane opening in the target working condition parameters, and further, the above compressor pressure ratio data is substituted into the corresponding compressor general characteristic function, so that the dimensionless flow coefficient of the target centrifugal refrigeration machine under the target working condition parameters can be calculated.

[0118] In step S303 of some embodiments, the isentropic compression efficiency refers to a dimensionless index capable of reflecting the degree of approximation of the actual compression process of the compressor to the ideal lossless isentropic process. It needs to be known that the closer the isentropic compression efficiency is to 1, the smaller the energy loss of the compression process of the compressor.

[0119] In the embodiments of the present application, the isentropic efficiency general characteristic function in the above compressor general characteristic function can be called as a function to be used, and the dimensionless flow coefficient calculated above is substituted into the function to be used, so that the isentropic compression efficiency of the target centrifugal refrigeration machine can be obtained.

[0120] In step S304 of some embodiments, the above dimensionless flow coefficient and isentropic compression efficiency are integrated into a unified parameter set, so that the compressor gas dynamics performance parameters containing the core mechanical operation characteristics of the compressor can be obtained.

[0121] The steps S301 to S304 shown in the embodiments of the present application determine the compressor pressure ratio data based on the refrigerant thermodynamic model and the working condition temperature parameters, lay a data foundation for the prediction of the compressor gas dynamics performance parameters, then, calculate the dimensionless flow coefficient of the target centrifugal refrigeration machine in combination with the compressor general characteristic function, the pressure ratio data and the inlet guide vane opening, can accurately determine the actual gas delivery characteristics of the compressor under the target working condition parameters, at the same time, based on the same input parameters, the isentropic compression efficiency of the target centrifugal refrigeration machine can be accurately obtained, finally, the dimensionless flow coefficient and the isentropic compression efficiency are combined to obtain the compressor gas dynamics performance parameters, which provide accurate data support for refrigerant thermodynamic process parameter correction and target working condition core parameter construction, thereby improving the accuracy.

[0122] In step S202 of some embodiments, the refrigerant thermodynamic process parameters refer to a set of core parameters that can reflect the refrigerant thermodynamic characteristics.

[0123] In the embodiments of the present application, the evaporator saturated gas specific enthalpy, the compressor outlet isentropic state gas specific enthalpy and the condenser saturated liquid specific enthalpy can be predicted by the refrigerant thermodynamic model according to the working condition temperature parameters, the refrigerant unit refrigerating capacity and the refrigerant unit isentropic compression work are obtained by difference calculation of the evaporator saturated gas specific enthalpy and the condenser saturated liquid specific enthalpy, and the evaporator saturated gas specific enthalpy and the compressor outlet isentropic state gas specific enthalpy, and further, the refrigerant unit refrigerating capacity and the refrigerant unit isentropic compression work are combined to obtain the refrigerant thermodynamic process parameters.

[0124] In detail, please refer to Figure 4 In some embodiments, step S202 can include but is not limited to steps S401 to S404:

[0125] Step S401, based on the working condition temperature parameters, the refrigerant thermodynamic model is parameter predicted to obtain the evaporator saturated gas specific enthalpy, the compressor outlet isentropic state gas specific enthalpy and the condenser saturated liquid specific enthalpy;

[0126] Step S402, difference calculation is performed on the evaporator saturated gas specific enthalpy and the condenser saturated liquid specific enthalpy to obtain the refrigerant unit refrigerating capacity;

[0127] Step S403, difference calculation is performed on the evaporator saturated gas specific enthalpy and the compressor outlet isentropic state gas specific enthalpy to obtain the refrigerant unit isentropic compression work;

[0128] Step S404, parameter combination is performed on the refrigerant unit refrigerating capacity and the refrigerant unit isentropic compression work to obtain the refrigerant thermodynamic process parameters.

[0129] In step S401 of some embodiments, the evaporator saturated gas specific enthalpy refers to the enthalpy value per unit mass of the refrigerant in the evaporator in the saturated gas state.

[0130] The compressor outlet isentropic state gaseous specific enthalpy refers to the unit mass enthalpy of the refrigerant in the gaseous state at the outlet after the ideal isentropic compression process is completed by the compressor.

[0131] The condenser saturated liquid specific enthalpy refers to the unit mass enthalpy possessed by the refrigerant in the saturated liquid state in the condenser.

[0132] In the implementation of the present application, the evaporator saturated temperature and the condenser saturated temperature can be extracted from the target working condition parameters, and are respectively substituted into the gaseous temperature and specific enthalpy fitting function, the liquid temperature and specific enthalpy fitting function, and the isentropic process calculation sub-model in the refrigerant thermophysical property model, to calculate the evaporator saturated gaseous specific enthalpy, the condenser saturated liquid specific enthalpy, and the compressor outlet isentropic state gaseous specific enthalpy, wherein the isentropic process calculation sub-model can be obtained by combining the condenser saturated pressure and the evaporator saturated gaseous specific enthalpy.

[0133] In step S402 of some embodiments, the refrigerant unit refrigeration capacity refers to the refrigeration capacity that can be provided by the unit mass of refrigerant in the refrigeration cycle.

[0134] In the implementation of the present application, the refrigerant unit refrigeration capacity can be obtained by subtracting the condenser saturated liquid specific enthalpy from the evaporator saturated gaseous specific enthalpy.

[0135] In step S403 of some embodiments, the refrigerant unit isentropic compression work refers to the work consumed by the unit mass of refrigerant in the ideal isentropic compression process.

[0136] In the implementation of the present application, the refrigerant unit isentropic compression work can be obtained by subtracting the compressor outlet isentropic state gaseous specific enthalpy from the evaporator saturated gaseous specific enthalpy.

[0137] In step S404 of some embodiments, the refrigerant unit refrigeration capacity and the refrigerant unit isentropic compression work are embedded in the same set, and the refrigerant thermodynamic process parameters can be obtained.

[0138] The steps S401 to S404 shown in the implementation of the present application are based on the working condition temperature parameters to predict the parameters of the refrigerant thermophysical property model, which can ensure that the evaporator saturated gaseous specific enthalpy, the compressor outlet isentropic state gaseous specific enthalpy, and the condenser saturated liquid specific enthalpy accurately match the real thermodynamic characteristics of the refrigerant under the target working condition parameters, and provide a data basis for the calculation of the target working condition core parameters. Further, the refrigerant unit refrigeration capacity is obtained by calculating the difference between the evaporator saturated gaseous specific enthalpy and the condenser saturated liquid specific enthalpy, and the refrigerant unit isentropic compression work is obtained by calculating the difference between the evaporator saturated gaseous specific enthalpy and the compressor outlet isentropic state gaseous specific enthalpy, which improves the efficiency of obtaining the refrigerant thermodynamic process parameters, and thus accelerates the calculation process of the refrigerant thermodynamic process parameters.

[0139] In step S203 of some embodiments, the refrigerant thermodynamic process correction parameter refers to a refrigerant thermodynamic process parameter close to the actual operating state of the compressor.

[0140] In the embodiments of the present application, the refrigerant unit isosteric compression work in the refrigerant thermodynamic process parameter is calculated by a refrigerant thermophysical property model, and is usually used to represent the work required to compress a unit mass of refrigerant in an ideal isosteric process. However, there is energy loss in the actual compression process, so the work required to compress a unit mass of refrigerant in an ideal isosteric process does not match the actual situation. Therefore, the isosteric compression efficiency reflecting the closeness of the actual compression process of the compressor to the ideal isosteric process can be extracted from the gas dynamics performance parameters of the compressor, and the refrigerant unit isosteric compression work can be adjusted or optimized, so as to obtain the corrected refrigerant unit isosteric compression work, that is, the refrigerant unit actual compression work and the refrigerant unit refrigerating capacity are put into the same set, and the refrigerant thermodynamic process correction parameter is obtained.

[0141] In step S204 of some embodiments, after obtaining the gas dynamics performance parameters of the compressor and the refrigerant thermodynamic process correction parameter, the gas dynamics performance parameters of the compressor and the refrigerant thermodynamic process correction parameter can be put into the same blank set, so as to form a key intermediate parameter set supporting the performance prediction of the target centrifugal refrigeration machine, that is, the target working condition core parameter.

[0142] The steps S201 to S204 shown in the embodiments of the present application can predict the gas dynamics performance parameters of the compressor based on the working condition temperature parameter, the inlet guide vane opening degree and the compressor general characteristic function, can eliminate the interference of the target centrifugal refrigerant inlet state according to the dimensionless attribute, can accurately match the inherent structure and operating characteristics of the compressor, so that the prediction result of the gas dynamics performance parameters of the compressor matches the current working condition of the target centrifugal refrigeration machine, and the accuracy of the mechanical performance prediction is improved. Secondly, the refrigerant thermodynamic process parameter is predicted based on the refrigerant thermophysical property model and the working condition temperature parameter, which improves the calculation efficiency of the refrigerant thermodynamic process parameter. Then, considering the energy loss in the actual operation of the compressor, the refrigerant thermodynamic process parameter is corrected by using the gas dynamics performance parameters of the compressor, which can improve the accuracy of the thermophysical property parameter. Finally, the gas dynamics performance parameters of the compressor and the refrigerant thermodynamic process correction parameter are embedded and combined to obtain the target working condition core parameter, which provides a data basis for the performance prediction of the target centrifugal refrigeration machine.

[0143] In step S106 of some embodiments, the refrigeration machine visualized performance data refers to data that can intuitively present the performance of the target centrifugal refrigeration machine, such as the actual energy efficiency data of the refrigeration machine, the total refrigerating capacity, the input electric power, etc.

[0144] In the embodiments of the present application, the actual energy efficiency data of the target centrifugal refrigeration machine can be calculated through the refrigerant thermodynamic process correction parameter, and the total refrigeration data of the target centrifugal refrigeration machine can be calculated in combination with the dimensionless flow coefficient, the compressor basic parameter and the refrigerant unit refrigeration capacity. Further, the input electric power of the target centrifugal refrigeration machine can be calculated based on the actual energy efficiency data and the total refrigeration data. Finally, the aforementioned three kinds of data can be visualized to obtain the refrigeration machine visualized performance data for the user to view.

[0145] In detail, please refer to Figure 5 In some embodiments, the target working condition core parameters include the dimensionless flow coefficient and the refrigerant thermodynamic process correction parameter, and step S106 can include but is not limited to steps S501 to S504:

[0146] Step S501, based on the refrigerant thermodynamic process correction parameter, performing energy efficiency calculation on the target centrifugal refrigeration machine to obtain refrigeration machine actual energy efficiency data;

[0147] Step S502, based on the dimensionless flow coefficient, the compressor basic parameter and the refrigerant unit refrigeration capacity, performing refrigeration capacity calculation on the target centrifugal refrigeration machine to obtain refrigeration machine total refrigeration data;

[0148] Step S503, based on the refrigeration machine actual energy efficiency data and the refrigeration machine total refrigeration data, performing input electric power calculation on the target centrifugal refrigeration machine to obtain refrigeration machine input electric power;

[0149] Step S504, performing data visualization processing on the refrigeration machine actual energy efficiency data, the refrigeration machine total refrigeration data and the refrigeration machine input electric power to obtain refrigeration machine visualized performance data.

[0150] In step S501 of some embodiments, the refrigeration machine actual energy efficiency data refers to data capable of reflecting the actual operation energy utilization efficiency of the target centrifugal refrigeration machine.

[0151] In the embodiments of the present application, the refrigeration machine theoretical energy efficiency data can be calculated according to the refrigerant thermodynamic process correction parameter, and the refrigeration machine actual energy efficiency data can be obtained by optimizing the theoretical energy efficiency data in combination with the preset refrigeration machine machine parameter.

[0152] In detail, please refer to Figure 6 In some embodiments, step S501 can include but is not limited to steps S601 to S602:

[0153] Step S601, based on the refrigerant thermodynamic process correction parameter, performing theoretical energy consumption calculation on the target centrifugal refrigeration machine to obtain refrigeration machine theoretical energy efficiency data;

[0154] In step S602, the refrigeration machine theoretical energy consumption data is optimized based on the preset refrigeration machine parameter to obtain refrigeration machine actual energy efficiency data.

[0155] In step S601 of some embodiments, the refrigeration machine theoretical energy efficiency data refers to data calculated by theoretical energy consumption, reflecting the energy utilization efficiency of the target centrifugal refrigeration machine in an ideal state without additional machine loss.

[0156] In the embodiments of the present application, the refrigerant unit refrigeration capacity and the refrigerant unit actual compression work can be extracted from the refrigerant thermodynamic process correction parameter, and further, the theoretical energy efficiency data corresponding to the refrigerant unit refrigeration capacity and the refrigerant unit actual compression work can be calculated according to the theoretical energy efficiency calculation formula, so that the refrigeration machine theoretical energy efficiency data of the target centrifugal refrigeration machine can be obtained.

[0157] Specifically, the theoretical energy efficiency calculation formula is as follows,

[0158]

[0159] wherein, represents the refrigeration machine theoretical energy efficiency data, represents the refrigerant unit refrigeration capacity, represents the refrigerant unit actual compression work.

[0160] In step S602 of some embodiments, the refrigeration machine parameter refers to a set of inherent parameters reflecting the structure and operating characteristics of the target centrifugal refrigeration machine, such as compressor mechanical loss coefficient, transmission efficiency, component heat dissipation loss parameter, etc.

[0161] In the embodiments of the present application, the additional loss of the target centrifugal refrigeration machine in actual operation except for the refrigerant thermodynamic loss can be determined according to the refrigeration machine parameter, and further, the additional loss caused by the refrigerant thermodynamic loss can be subtracted from the refrigeration machine theoretical energy efficiency data, so that the refrigeration machine actual energy efficiency data can be obtained, making the predicted performance data of the centrifugal refrigeration machine more accurate.

[0162] The steps S601 to S602 shown in the embodiments of the present application perform theoretical energy consumption calculation on the target centrifugal refrigeration machine based on the refrigerant thermodynamic process correction parameter to obtain the refrigeration machine theoretical energy efficiency data, which provides a theoretical data basis for actual energy efficiency evaluation, and further, the refrigeration machine theoretical energy consumption data is optimized based on the preset refrigeration machine parameter to obtain the refrigeration machine actual energy efficiency data, ensuring the accuracy of the refrigeration machine actual energy efficiency data and improving the accuracy of the performance prediction of the centrifugal refrigeration machine.

[0163] In step S502 of some embodiments, the refrigeration machine total refrigeration data refers to the total refrigeration capacity data that can be provided by the target centrifugal refrigeration machine per unit time.

[0164] In the embodiments of the present application, the refrigerant mass flow data can be calculated according to the dimensionless flow coefficient and the compressor basic parameters, and the total refrigeration data of the refrigeration machine can be determined in combination with the refrigerant unit refrigeration capacity.

[0165] In detail, please refer to Figure 7 In some embodiments, step S502 can include but is not limited to steps S701 to S702:

[0166] Step S701, based on the dimensionless flow coefficient and the compressor basic parameters, the refrigerant mass flow of the target centrifugal refrigeration machine is calculated to obtain the refrigerant mass flow data;

[0167] Step S702, based on the refrigerant mass flow data and the refrigerant unit refrigeration capacity, the total refrigeration data of the refrigeration machine is determined.

[0168] In step S701 of some embodiments, the refrigerant mass flow data refers to the data that can reflect how much refrigerant mass flows through the compressor in the target centrifugal refrigeration machine per unit time.

[0169] In the embodiments of the present application, the above dimensionless flow coefficient calculation formula can be converted into a refrigerant mass flow calculation formula, and then the compressor basic parameters and the compressor inlet stagnation pressure, compressor impeller outer diameter, compressor inlet stagnation temperature in the target working condition parameters, and the dimensionless flow coefficient are input into the refrigerant mass flow calculation formula, so that the refrigerant mass flow data can be obtained.

[0170] In step S702 of some embodiments, the total refrigeration data of the target centrifugal refrigeration machine is equivalent to the product of the refrigerant unit refrigeration capacity and the refrigerant mass flow data, so that the total refrigeration data of the refrigeration machine can be obtained by calculating the product of the refrigerant mass flow data and the refrigerant unit refrigeration capacity.

[0171] In step S503 of some embodiments, the refrigeration machine input electric power refers to the total electric power data consumed by the target centrifugal refrigeration machine during operation.

[0172] In the embodiments of the present application, the refrigeration machine actual energy efficiency data and the refrigeration machine total refrigeration data obtained in the foregoing steps can be input into the refrigeration machine input electric power calculation formula to obtain the refrigeration machine input electric power.

[0173] Specifically, the refrigeration machine input electric power calculation formula is as follows:

[0174]

[0175] wherein, represents the refrigeration machine input electric power, represents the refrigeration machine total refrigeration data, The actual energy efficiency data of the chiller is represented.

[0176] In step S504 of some embodiments, the calculated actual energy efficiency data of the chiller, the total refrigeration data of the chiller and the input electric power of the chiller are displayed to the user in the form of intuitive charts through professional visualization tools such as Matplotlib and Origin, so as to realize the acquisition of the visual performance data of the chiller and complete the performance prediction of the centrifugal chiller.

[0177] The steps S501 to S504 shown in the embodiments of the present application perform energy efficiency calculation on the target centrifugal chiller based on the refrigerant thermodynamic process correction parameters, which can ensure that the calculated actual energy efficiency data of the chiller accurately reflects the actual energy utilization level of the target centrifugal chiller, avoids the errors caused by ideal models and improves the data accuracy. Then, the total refrigeration data of the chiller is obtained by performing refrigeration capacity calculation on the target centrifugal chiller based on the dimensionless flow coefficient, the compressor basic parameters and the refrigerant unit refrigeration capacity. The input electric power of the chiller is obtained by performing input electric power calculation on the target centrifugal chiller according to the actual energy efficiency data of the chiller and the total refrigeration data of the chiller, which also ensures the data accuracy. Finally, the accurate actual energy efficiency data of the chiller, the total refrigeration data of the chiller and the input electric power of the chiller are converted into the visual performance data of the chiller, which can ensure the accuracy and reliability of the centrifugal chiller performance prediction data seen by the user.

[0178] The present application provides a data basis for performance prediction by obtaining the compressor basic parameters, the compressor multi-working condition performance test data and the refrigerant thermophysical property parameters of the target centrifugal chiller, thereby ensuring the accuracy of performance prediction. Then, the dimensionless processing is performed based on the compressor basic parameters and the compressor multi-working condition performance test data, which eliminates the influence of individual factors such as equipment size and specific working conditions of the target centrifugal chiller on performance prediction, improves the universality of the obtained compressor general characteristic function and thus improves the performance prediction efficiency of the centrifugal chiller. Next, the data fitting processing is performed based on the refrigerant thermophysical property parameters to obtain a refrigerant thermophysical property model, which can accurately fit the thermodynamic characteristics of the refrigerant under different working conditions, thereby providing an accurate parameter basis for performance prediction of the centrifugal chiller. Finally, the target working condition parameters of the target centrifugal chiller are obtained, and the target working condition core parameters of the target centrifugal chiller are determined based on the compressor general characteristic function, the refrigerant thermophysical property model and the target working condition parameters. Then, the performance prediction of the target centrifugal chiller is performed based on the target working condition core parameters to obtain the visual performance data of the chiller, which improves the performance prediction efficiency of the centrifugal chiller. In addition, since the compressor general characteristic function and the refrigerant thermophysical property model have universality, the performance prediction accuracy of the centrifugal chiller is also improved.

[0179] Please refer to Figure 8The embodiment of the present application further provides a performance prediction device of a centrifugal refrigerator, which can realize the performance prediction method of the centrifugal refrigerator, and the device comprises:

[0180] The parameter acquisition module 801 is configured to acquire the compressor basic parameter, the compressor multi-working condition performance test data and the refrigerant thermophysical parameter of the target centrifugal refrigerator.

[0181] The function generation module 802 is configured to perform dimensionless processing based on the compressor basic parameter and the compressor multi-working condition performance test data, and obtain a compressor universal characteristic function.

[0182] The model construction module 803 is configured to perform data fitting processing based on the refrigerant thermophysical parameter, and obtain a refrigerant thermophysical model.

[0183] The working condition acquisition module 804 is configured to acquire target working condition parameters of the target centrifugal refrigerator.

[0184] The parameter calculation module 805 is configured to determine target working condition core parameters of the target centrifugal refrigerator based on the compressor universal characteristic function, the refrigerant thermophysical model and the target working condition parameters.

[0185] The performance prediction module 806 is configured to perform performance prediction on the target centrifugal refrigerator based on the target working condition core parameters, and obtain visual performance data of the refrigerator.

[0186] The specific implementation of the performance prediction device of the centrifugal refrigerator is basically the same as that of the above-mentioned specific embodiment of the performance prediction method of the centrifugal refrigerator, and will not be repeated here.

[0187] The embodiment of the present application further provides an electronic device, which comprises a memory and a processor, the memory stores a computer program, and the processor realizes the performance prediction method of the centrifugal refrigerator when executing the computer program. The electronic device can be any intelligent terminal including a tablet computer, a vehicle-mounted computer and the like.

[0188] Please refer to Figure 9 , Figure 9 The hardware structure of the electronic device of another embodiment is illustrated, which comprises:

[0189] The processor 901 can be realized in the mode of a general CPU (Central Processing Unit), a microprocessor, an ASIC (Application Specific Integrated Circuit) or one or more integrated circuits, and is used to execute a related program to realize the technical solutions provided by the embodiment of the present application.

[0190] The memory 902 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM), etc. The memory 902 can store an operating system and other application programs. When the technical solutions provided by the embodiments of the present specification are implemented by software or firmware, the related program codes are stored in the memory 902 and are called and executed by the processor 901 to implement the performance prediction method of the centrifugal refrigeration machine according to the embodiments of the present application.

[0191] The input / output interface 903 is configured to realize information input and output.

[0192] The communication interface 904 is configured to realize the communication interaction between the device and other devices. The communication can be realized by a wired manner (for example, a USB, a network cable, etc.) or a wireless manner (for example, a mobile network, WIFI, Bluetooth, etc.).

[0193] The bus 905 is configured to transmit information between various components (for example, the processor 901, the memory 902, the input / output interface 903, and the communication interface 904) of the device.

[0194] The processor 901, the memory 902, the input / output interface 903, and the communication interface 904 are connected to each other through the bus 905 to realize the communication connection between the device.

[0195] The embodiments of the present application also provide a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the performance prediction method of the centrifugal refrigeration machine.

[0196] The memory is a non-transitory computer readable storage medium, which can be used to store non-transitory software programs and non-transitory computer executable programs. In addition, the memory can include a high-speed random access memory and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some embodiments, the memory can optionally include a memory remotely arranged relative to the processor. These remote memories can be connected to the processor through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0197] The performance prediction method of the centrifugal refrigerator, the performance prediction device of the centrifugal refrigerator, the electronic equipment and the storage medium provided by the embodiments of the present application obtain the compressor basic parameters, the compressor multi-working condition performance test data and the refrigerant thermophysical property parameters of a target centrifugal refrigerator, perform dimensionless processing based on the compressor basic parameters and the compressor multi-working condition performance test data to obtain a compressor general characteristic function, perform data fitting processing based on the refrigerant thermophysical property parameters to obtain a refrigerant thermophysical property model, obtain target working condition parameters of the target centrifugal refrigerator, determine target working condition core parameters of the target centrifugal refrigerator based on the compressor general characteristic function, the refrigerant thermophysical property model and the target working condition parameters, perform performance prediction on the target centrifugal refrigerator based on the target working condition core parameters, and obtain refrigerator visualized performance data.

[0198] The embodiments described in the embodiments of the present application are used to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. It can be understood by those skilled in the art that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0199] It can be understood by those skilled in the art that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and can include more or fewer steps than those shown in the figures, or combine certain steps or different steps.

[0200] The device embodiments described above are only schematic, and the units described as separate components can or can not be physically separate, that is, can be located in one place or distributed on multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0201] It can be understood by those skilled in the art that all or some steps in the above disclosed method, the function modules / units in the system and the device can be implemented as software, firmware, hardware and their appropriate combinations.

[0202] The terms "first", "second", "third", "fourth", and the like in the description of this application and in the claims hereof, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the use of the terms so termed herein is solely for the convenience of the reader and does not limit the scope of the application. It is also to be understood that the description and examples in this application are intended to cover all possible combinations where any of the several elements can represent one or more elements.

[0203] It should be understood that, in the application, "at least one" refers to one or more, and "multiple" refers to two or more. "And / or" is used to describe the relationship between associated objects, which means that there can be three relationships, for example, "A and / or B" can represent three cases: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0204] In several embodiments provided in the application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of the above-mentioned units is only a logical functional division, and actual implementation can have another division manner, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. The coupling or direct coupling or communication connection between the displayed or discussed each other can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0205] The units described above as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed on multiple network units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment of the present application.

[0206] In addition, each function unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit.

[0207] When the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, essentially or in part, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes multiple instructions used to cause a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various other media that can store programs.

[0208] The preferred embodiments of the embodiments of the present application are described above with reference to the accompanying drawings, and are not limited to the scope of the embodiments of the present application. Any modifications, equivalent replacements and improvements made by those skilled in the art without departing from the scope and essence of the embodiments of the present application shall be within the scope of the embodiments of the present application.

Claims

1. A method of performance prediction of a centrifugal chiller characterized by, The method comprises: acquiring compressor basic parameters, compressor multi-working condition performance test data and refrigerant thermophysical property parameters of a target centrifugal refrigeration machine; based on the compressor basic parameters and the compressor multi-working condition performance test data, performing dimensionless processing to obtain compressor general characteristic functions; based on the refrigerant thermophysical property parameters, performing data fitting processing to obtain a refrigerant thermophysical property model; acquiring target working condition parameters of the target centrifugal refrigeration machine, wherein the target working condition parameters comprise working condition temperature parameters and inlet guide vane opening degrees; based on the refrigerant thermophysical property model and the working condition temperature parameters, determining compressor pressure ratio data; based on the compressor general characteristic functions, the compressor pressure ratio data and the inlet guide vane opening degrees, performing flow coefficient calculation on the target centrifugal refrigeration machine to obtain dimensionless flow coefficients; based on the compressor general characteristic functions, the compressor pressure ratio data and the inlet guide vane opening degrees, determining isentropic compression efficiency of the target centrifugal refrigeration machine; performing parameter merging on the dimensionless flow coefficients and the isentropic compression efficiency to obtain compressor gas dynamics performance parameters; based on the refrigerant thermophysical property model and the working condition temperature parameters, performing thermodynamic performance parameter prediction on the target centrifugal refrigeration machine to obtain refrigerant thermodynamic process parameters; based on the compressor gas dynamics performance parameters, performing parameter correction on the refrigerant thermodynamic process parameters to obtain refrigerant thermodynamic process correction parameters; performing parameter embedding and merging on the compressor gas dynamics performance parameters and the refrigerant thermodynamic process correction parameters to obtain target working condition core parameters, wherein the target working condition core parameters comprise the dimensionless flow coefficients and the refrigerant thermodynamic process correction parameters; based on the refrigerant thermodynamic process correction parameters, performing energy efficiency calculation on the target centrifugal refrigeration machine to obtain actual energy efficiency data of the refrigeration machine; based on the dimensionless flow coefficients, the compressor basic parameters and refrigerant unit refrigerating capacity, performing refrigerating capacity calculation on the target centrifugal refrigeration machine to obtain total refrigerating data of the refrigeration machine; based on the actual energy efficiency data of the refrigeration machine and the total refrigerating data of the refrigeration machine, performing input electric power calculation on the target centrifugal refrigeration machine to obtain input electric power of the refrigeration machine; performing data visualization processing on the actual energy efficiency data of the refrigeration machine, the total refrigerating data of the refrigeration machine and the input electric power of the refrigeration machine to obtain refrigeration machine visualized performance data.

2. The method of claim 1, wherein, The method comprises: based on the working condition temperature parameters, performing parameter prediction on the refrigerant thermophysical property model to obtain evaporator saturated gaseous specific enthalpy, compressor outlet isentropic state gaseous specific enthalpy and condenser saturated liquid specific enthalpy; performing difference calculation on the evaporator saturated gaseous specific enthalpy and the condenser saturated liquid specific enthalpy to obtain refrigerant unit refrigerating capacity; performing difference calculation on the evaporator saturated gaseous specific enthalpy and the compressor outlet isentropic state gaseous specific enthalpy to obtain refrigerant unit isentropic compression work; The refrigerant unit refrigeration capacity and the refrigerant unit isentropic compression work are combined to obtain the refrigerant thermodynamic process parameter.

3. The method of claim 1, wherein, The refrigerant thermodynamic process correction parameter is used to calculate the energy efficiency of the target centrifugal refrigeration machine to obtain actual refrigeration machine energy efficiency data, including: The refrigerant thermodynamic process correction parameter is used to calculate the theoretical energy efficiency of the target centrifugal refrigeration machine to obtain refrigeration machine theoretical energy efficiency data. The refrigeration machine theoretical energy efficiency data is optimized based on preset refrigeration machine parameters to obtain the refrigeration machine actual energy efficiency data.

4. The method according to any one of claims 1 to 3, characterized in that, The refrigeration capacity of the target centrifugal refrigeration machine is calculated based on the dimensionless flow coefficient, the compressor basic parameter and the refrigerant unit refrigeration capacity to obtain refrigeration machine total refrigeration data, including: The refrigerant mass flow of the target centrifugal refrigeration machine is calculated based on the dimensionless flow coefficient and the compressor basic parameter to obtain refrigerant mass flow data. The refrigeration machine total refrigeration data is determined based on the refrigerant mass flow data and the refrigerant unit refrigeration capacity.

5. A performance prediction device for a centrifugal chiller characterized by, The device comprises: A parameter acquisition module is configured to acquire compressor basic parameters, compressor multi-working condition performance test data and refrigerant thermophysical property parameters of a target centrifugal refrigeration machine. A function generation module is configured to perform dimensionless processing based on the compressor basic parameters and the compressor multi-working condition performance test data to obtain a compressor universal characteristic function. A model construction module is configured to perform data fitting processing based on the refrigerant thermophysical property parameters to obtain a refrigerant thermophysical property model. A working condition acquisition module is configured to acquire target working condition parameters of the target centrifugal refrigeration machine, wherein the target working condition parameters include working condition temperature parameters and inlet guide vane opening degrees. A parameter calculation module is configured to determine compressor pressure ratio data based on the refrigerant thermophysical property model and the working condition temperature parameters, to calculate a dimensionless flow coefficient based on the compressor universal characteristic function, the compressor pressure ratio data and the inlet guide vane opening degrees, to determine isentropic compression efficiency of the target centrifugal refrigeration machine based on the compressor universal characteristic function, the compressor pressure ratio data and the inlet guide vane opening degrees, to combine the dimensionless flow coefficient and the isentropic compression efficiency to obtain compressor gas dynamics performance parameters, to predict thermodynamic performance parameters of the target centrifugal refrigeration machine based on the refrigerant thermophysical property model and the working condition temperature parameters to obtain refrigerant thermodynamic process parameters, to correct the refrigerant thermodynamic process parameters based on the compressor gas dynamics performance parameters to obtain refrigerant thermodynamic process correction parameters, and to combine and embed the compressor gas dynamics performance parameters and the refrigerant thermodynamic process correction parameters to obtain target working condition core parameters, wherein the target working condition core parameters include the dimensionless flow coefficient and the refrigerant thermodynamic process correction parameters. The performance prediction module is configured to perform energy efficiency calculation on the target centrifugal refrigeration machine based on the refrigerant thermodynamic process correction parameter to obtain actual energy efficiency data of the refrigeration machine, perform refrigeration capacity calculation on the target centrifugal refrigeration machine based on the dimensionless flow coefficient, the compressor basic parameter and refrigerant unit refrigeration capacity to obtain total refrigeration capacity data of the refrigeration machine, perform input electric power calculation on the target centrifugal refrigeration machine based on the actual energy efficiency data of the refrigeration machine and the total refrigeration capacity data of the refrigeration machine to obtain input electric power of the refrigeration machine, and perform data visual processing on the actual energy efficiency data of the refrigeration machine, the total refrigeration capacity data of the refrigeration machine and the input electric power of the refrigeration machine to obtain visual performance data of the refrigeration machine.

6. An electronic device, comprising: The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor implements the performance prediction method of the centrifugal refrigeration machine according to any one of claims 1 to 4 when executing the computer program.

7. A computer-readable storage medium storing a computer program, wherein the computer program comprises the following steps of: receiving a request for a resource from a client; determining whether the client is authorized to access the resource; and if the client is authorized to access the resource, providing the resource to the client. The computer program is executed by the processor to implement the performance prediction method of the centrifugal refrigeration machine according to any one of claims 1 to 4.

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