CN115164378A - Fresh air handling unit regulation and control method based on digital twins and related device - Google Patents
Fresh air handling unit regulation and control method based on digital twins and related device Download PDFInfo
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- CN115164378A CN115164378A CN202210648784.3A CN202210648784A CN115164378A CN 115164378 A CN115164378 A CN 115164378A CN 202210648784 A CN202210648784 A CN 202210648784A CN 115164378 A CN115164378 A CN 115164378A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F7/00—Ventilation
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Abstract
The application relates to the technical field of heating ventilation air conditioners, in particular to a fresh air handling unit regulation and control method and a related device based on digital twinborn, and aims to solve the problem that regulation and control of a fresh air handling unit in related technologies mainly depend on experience regulation and control and are difficult to meet the requirements of energy conservation and refined management and control. According to the method, the physical model of the target fresh air handling unit is constructed, the heat and humidity treatment mechanism model of the twin is further constructed, the control model of the twin is added later, the control instruction is output to the corresponding actuator to be carried out, the requirement of dynamically debugging the fresh air handling unit system from the mechanism model is met, meanwhile, the control parameters are optimized and controlled, the problem that the relevant fresh air handling unit control system is mainly controlled by experience, the dynamic adaptive regulation and control capability of the fresh air handling unit to operate under variable working conditions is lacked is effectively overcome, the control requirements of energy conservation and the like are met, and the working efficiency of the fresh air handling unit is improved.
Description
Technical Field
The application relates to the technical field of heating ventilation air conditioners, in particular to a fresh air handling unit regulation and control method based on digital twins and a related device.
Background
At present, a fresh air handling unit is a fresh air handling device widely applied to the field of heating ventilation air conditioners, and because the fresh air handling unit operates under the annual meteorological condition, the variability of annual climate determines the diversity of handling modes of the fresh air handling unit and also determines the complexity and diversity of handling functional sections. The double-cold-source fresh air handling unit is an emerging energy-saving fresh air handling unit, the unit fully utilizes cold sources with different grades to carry out heat and humidity treatment, and the existing regulation and control method of the double-cold-source fresh air handling unit is generally an empirical debugging method based on the outlet parameters of the fresh air handling unit.
In the related technology, the double-cold-source fresh air unit not only needs to perform complex heat and humidity treatment to meet the requirement of outlet air temperature and humidity, but also needs to adjust different-grade cold sources to exchange sensible heat and latent heat, and in addition, many factors such as difference of design working conditions and operation working conditions, climate variability and the like need to be considered, and strong coupling of heat and humidity, so that the treatment mechanism of the double-cold-source fresh air unit is complex, and the existing regulation and control method mainly depends on experience regulation and control, and the requirements of energy conservation and refined management and control are difficult to meet.
Disclosure of Invention
The application provides a fresh air handling unit regulation and control method and a related device based on digital twins, and aims to at least solve the problem that the fresh air handling unit regulation and control method in related technologies mainly depends on experience regulation and control and is difficult to meet the requirements of energy conservation and refined management and control. The technical scheme of the application is as follows:
according to a first aspect of embodiments of the present application, there is provided a fresh air handling unit regulation method based on digital twinning, the method including:
acquiring geometric data of a target fresh air handling unit, and performing digital twinning on a physical model of the target fresh air handling unit based on the geometric data;
acquiring input parameters and output parameters of different functional sections in the heat and humidity treatment process of the target fresh air handling unit, inputting the input parameters into heat and humidity treatment mechanism models of corresponding functional sections, and debugging the heat and humidity treatment mechanism models to obtain twin heat and humidity treatment mechanism models when the corresponding output parameters are output by the heat and humidity treatment mechanism models;
performing heat and humidity treatment by using the twin heat and humidity treatment mechanism model, debugging control logics of the control model to relevant parts in the heat and humidity treatment mechanism model and the physical model in the heat and humidity treatment process, and obtaining the twin control model when outputting corresponding target control parameters;
and acquiring target control parameters and current state parameters in the operation process of the target fresh air handling unit, performing heat and humidity treatment by using the twin heat and humidity treatment mechanism model, and performing logic control on relevant components in the heat and humidity treatment mechanism model and the physical model by using the control model according to the target control parameters and the current state parameters in the heat and humidity treatment process.
In a possible embodiment, acquiring input parameters and output parameters of different functional segments, inputting the input parameters into a heat and moisture treatment mechanism model of a corresponding functional segment, and obtaining a twin heat and moisture treatment mechanism model when the heat and moisture treatment mechanism model outputs corresponding output parameters, including:
constructing heat and humidity treatment mechanism debugging models corresponding to different functional sections in advance based on the physical model of the target fresh air handling unit;
acquiring actual input parameters and actual output parameters corresponding to each functional section in the heat and humidity treatment process of a target fresh air handling unit;
inputting the acquired actual input parameters of the first function section into a heat and humidity treatment mechanism debugging model of the corresponding function section, performing heat and humidity treatment by the heat and humidity treatment mechanism debugging model according to the actual input parameters and outputting simulation parameters, and inputting the output simulation parameters into the corresponding heat and humidity treatment mechanism debugging model as the input parameters of the next function section;
and determining the difference value between the output simulation parameter and the actual output parameter of each functional section, and debugging the heat and humidity treatment mechanism debugging model according to the difference value until the difference value is smaller than a set threshold value to obtain the heat and humidity treatment mechanism model corresponding to each functional section.
In a possible embodiment, the control model includes a response characteristic model, a control strategy model and an execution mechanism model, the control logic of the control model to relevant components in the thermal-wet processing mechanism model and the physical model is debugged in the process of thermal-wet processing, and when the output obtains a corresponding target control parameter, a twin control model is obtained, which includes:
inputting the setting parameters and the actual state parameters acquired in the running process of the target fresh air handling unit into a control model;
determining control logics of outputting the set parameters to relevant parts in different functional section heat and humidity treatment mechanism models and physical models based on the actual state parameters through the control model;
controlling related components in the heat and humidity treatment mechanism models and the physical models of different functional segments to execute corresponding treatment according to the determined control logic to obtain simulated target fresh air handling unit output parameters;
controlling the fresh air handling unit to perform heat and humidity treatment on different functional sections and corresponding treatment of relevant parts according to the determined control logic, and acquiring actual output parameters of the target fresh air handling unit;
and debugging the control model until the simulated target fresh air handling unit output parameter and the target fresh air handling unit output parameter are smaller than a set value by comparing the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter.
In a possible embodiment, the control model comprises:
a response characteristic model for determining a type of response by outputting the setting parameter based on the actual state parameter;
the control strategy model is used for controlling the response of the corresponding response type to reach the control logic adopted by the set parameters;
and the executing mechanism model is used for controlling related components in the heat and humidity treatment mechanism models and the physical models of different functional sections to execute corresponding treatment according to the control strategy.
In a possible embodiment, the control model further comprises:
and determining a data analysis model of a parameter correction mode of the response characteristic model, the control strategy model and the actuating mechanism model by analyzing the comparison result of the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter.
In a possible embodiment, the control model further comprises:
and the algorithm optimization model is used for analyzing the comparison result of the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter and optimizing the control algorithm adopted by the control strategy model.
In one possible embodiment, the geometric data of the target fresh air handling unit comprises the external dimensions of the target fresh air handling unit, the number of functional segments contained, and the geometric dimensions of the components of each functional segment.
According to a second aspect of embodiments of the present application, there is provided a digital twin-based fresh air handling unit control device, the device including:
a digital twinning module of the physical model configured to obtain geometric data of the target fresh air handling unit, and perform digital twinning of the physical model of the target fresh air handling unit based on the geometric data;
the digital twin module of the heat and humidity treatment mechanism model is configured to acquire input parameters and output parameters of different functional sections in the heat and humidity treatment process of the target fresh air handling unit, input the input parameters into the heat and humidity treatment mechanism model of the corresponding functional section, and obtain the twin heat and humidity treatment mechanism model when the heat and humidity treatment mechanism model is debugged to output the corresponding output parameters;
the digital twin module of the control model is configured to utilize the twin heat and humidity treatment mechanism model to carry out heat and humidity treatment, debug the control model to the control logic of relevant parts in the heat and humidity treatment mechanism model and the physical model in the heat and humidity treatment process, and obtain the twin control model when outputting corresponding target control parameters;
and the logic control module is configured to acquire a target control parameter and a current state parameter in the operation process of the target fresh air handling unit, perform heat and humidity treatment by using the twin heat and humidity treatment mechanism model, and perform logic control on relevant components in the heat and humidity treatment mechanism model and the physical model by using the control model according to the target control parameter and the current state parameter in the heat and humidity treatment process.
According to a third aspect of embodiments of the present application, there is provided an electronic apparatus, including:
a display, a processor, and a memory;
the display is used for displaying information;
the memory to store the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the digital twin-based fresh air handling unit regulation method according to any one of the first aspect of the embodiments of the present application.
According to a fourth aspect of embodiments of the present application, an embodiment of the present application further provides a computer-readable storage medium, where instructions, when executed by a processor of an electronic device, enable the electronic device to perform the digital twin-based fresh air handling unit regulation method according to any one of the first aspect of embodiments of the present application.
According to a fifth aspect of the embodiments of the present application, there is provided a computer program product, which when run on an electronic device, causes the electronic device to execute a method for implementing a digital twin-based fresh air handling unit regulation and control according to any one of the above first aspects of the embodiments of the present application.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects: firstly, acquiring geometric data of a target fresh air handling unit, and performing digital twinning on a physical model of the target fresh air handling unit based on the geometric data; secondly, in the heat and humidity treatment process of the target fresh air handling unit, acquiring input parameters and output parameters of different functional sections, inputting the input parameters into the heat and humidity treatment mechanism models of the corresponding functional sections, and debugging the heat and humidity treatment mechanism models to output the corresponding output parameters to obtain twin heat and humidity treatment mechanism models; secondly, performing heat and humidity treatment by using a twin heat and humidity treatment mechanism model, debugging control logics of the control model to relevant parts in the heat and humidity treatment mechanism model and the physical model in the heat and humidity treatment process, and obtaining the twin control model when outputting corresponding target control parameters; and finally, acquiring target control parameters and current state parameters in the operation process of the target fresh air handling unit, performing heat and humidity treatment by using the twin heat and humidity treatment mechanism model, and performing logic control on relevant components in the heat and humidity treatment mechanism model and the physical model by using the control model according to the target control parameters and the current state parameters in the heat and humidity treatment process. Therefore, according to the method provided by the application, a physical model of the target double-cold-source fresh air unit is constructed, a twin heat and humidity treatment mechanism model is further constructed, the mechanism model is continuously adjusted through data obtained by a field sensor, then a twin control model is added, and a control instruction is output to a corresponding actuator to carry out, so that the requirement of dynamically debugging the fresh air unit system from the mechanism model is met, and meanwhile, the problem that the existing fresh air unit control system is mainly based on experience control and lacks of dynamic adaptive regulation and control capacity for variable working condition operation of the fresh air unit is effectively solved by carrying out optimization control on control parameters, the control requirements of energy conservation and the like are met, and the working efficiency of the fresh air unit is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application and are not to be construed as limiting the application.
FIG. 1 is a flow diagram illustrating a digital twin based fresh air handling unit regulation method according to an exemplary embodiment;
FIG. 2 is a flow diagram illustrating a twin derived thermo-wet processing regime model process according to an exemplary embodiment;
FIG. 3 is a flowchart illustrating step 104 according to an exemplary embodiment;
FIG. 4 is a schematic diagram illustrating relationships between digital twin models of fresh air handling units according to an exemplary embodiment;
FIG. 5 is a diagram illustrating a digital twin model architecture for a dual cold source fresh air handling unit in accordance with an exemplary embodiment;
FIG. 6 is a schematic diagram of an electronic device shown in accordance with an example embodiment.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above 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 data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The application scenario described in the embodiment of the present application is for more clearly illustrating the technical solution of the embodiment of the present application, and does not form a limitation on the technical solution provided in the embodiment of the present application, and it can be known by a person skilled in the art that with the occurrence of a new application scenario, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems. Wherein, in the description of the present application, the meaning of "a plurality" unless otherwise indicated.
The digital twin is a simulation process integrating multidisciplinary, multi-physical quantity, multi-scale and multi-probability by fully utilizing data such as a physical model, sensor updating, operation history and the like, and mapping is completed in a virtual space, so that the full life cycle process of corresponding entity equipment is reflected. Digital twinning is an beyond-realistic concept that can be viewed as a digital mapping system of one or more important, interdependent equipment systems.
The following describes a method for controlling a fresh air handling unit based on a digital twin according to an embodiment.
The inventive concept of the present application can be summarized as follows: firstly, acquiring geometric data of a target fresh air handling unit, and performing digital twinning on a physical model of the target fresh air handling unit based on the geometric data; secondly, in the heat and humidity treatment process of the target fresh air handling unit, acquiring input parameters and output parameters of different functional sections, inputting the input parameters into the heat and humidity treatment mechanism model of the corresponding functional section, and debugging the heat and humidity treatment mechanism model to obtain a twin heat and humidity treatment mechanism model when the heat and humidity treatment mechanism model outputs the corresponding output parameters; secondly, performing heat and humidity treatment by using a twin heat and humidity treatment mechanism model, debugging control logics of the control model to relevant parts in the heat and humidity treatment mechanism model and the physical model in the heat and humidity treatment process, and obtaining the twin control model when outputting corresponding target control parameters; and finally, acquiring target control parameters and current state parameters in the operation process of the target fresh air handling unit, performing heat and humidity treatment by using the twin heat and humidity treatment mechanism model, and performing logic control on relevant components in the heat and humidity treatment mechanism model and the physical model by using the control model according to the target control parameters and the current state parameters in the heat and humidity treatment process. Therefore, according to the method provided by the application, a physical model of the target double-cold-source fresh air unit is constructed, a twin heat and humidity processing mechanism model is further constructed, the mechanism model is continuously adjusted through data obtained by a physical sensor, then a twin control model is added, and a control instruction is output to a corresponding actuator to carry out, so that the requirement of dynamically debugging the fresh air unit system from the mechanism model is met, and meanwhile, the problem that the existing fresh air unit control system mainly controls experience and lacks dynamic adaptive regulation and control capacity for variable-condition operation of the unit is effectively solved by carrying out optimal control on control parameters, the control requirements of energy conservation and the like are met, and the working efficiency of the fresh air unit is improved.
Based on the above description, in order to more accurately regulate and control the fresh air handling unit, and in order to solve the problem that the fresh air handling unit regulation and control method in the related art mainly depends on empirical regulation and control and is difficult to meet the requirements of energy saving and refined management and control, an embodiment of the present application provides a fresh air handling unit regulation and control method based on digital twins, and an overall flow chart of the method is shown in fig. 1 and includes the following contents:
in step 101, geometric data of the target fresh air handling unit is obtained, and digital twinning of a physical model of the target fresh air handling unit is performed based on the geometric data.
The geometric data of the target fresh air handling unit comprises the overall dimension of the target fresh air handling unit, the number of the functional segments and the geometric dimensions of the components of the functional segments.
In step 102, in the heat and humidity processing process of the target fresh air handling unit, input parameters and output parameters of different functional segments are collected, the input parameters are input into the heat and humidity processing mechanism models of the corresponding functional segments, and when the heat and humidity processing mechanism models are debugged to output corresponding output parameters, twin heat and humidity processing mechanism models are obtained.
In a possible embodiment, in step 102, the input parameters and the output parameters of different functional segments are collected, the input parameters are input into the heat and humidity treatment mechanism model of the corresponding functional segment, and when the heat and humidity treatment mechanism model is debugged to output the corresponding output parameters, a twin heat and humidity treatment mechanism model is obtained, the flow of the step is shown in fig. 2, and the method includes the following steps:
in step 201, based on the physical model of the target fresh air handling unit, the thermo-hygrothermal treatment mechanism debugging models corresponding to different functional segments are pre-constructed.
It should be noted that, because the combined air conditioning unit (i.e., the fresh air handling unit) is formed by combining a plurality of functional segments, if the fresh air handling unit includes N functional segments, a thermo-humidity processing mechanism debugging model corresponding to N different functional segments is pre-constructed, and when an application scenario of a specific situation is implemented, relevant functional segments related to the application scenario are called. For example, when the dry scene needs to be humidified, the humidifying function involves 2 functional segments, and then the 2 functional segments are called to realize the analog simulation of the dry scene.
In step 202, in the heat-moisture treatment process of the target fresh air handling unit, the actual input parameters and the actual output parameters corresponding to the functional segments are collected.
In step 203, the collected actual input parameters of the first function segment are input into the debugging model of the heat and humidity treatment mechanism of the corresponding function segment, the debugging model of the heat and humidity treatment mechanism performs heat and humidity treatment according to the actual input parameters and outputs simulation parameters, and the output simulation parameters are used as the input parameters of the next function segment and input into the corresponding debugging model of the heat and humidity treatment mechanism.
In step 204, a difference between the output simulation parameter and the actual output parameter of each functional segment is determined, and the thermo-hygrostat mechanism debugging model is debugged according to the difference until the difference is smaller than a set threshold, so as to obtain the thermo-hygrostat mechanism model corresponding to each functional segment.
For example, the input parameters of the first functional segment are outdoor parameters (including outdoor air state parameters, air flow and the like) except the performance acceptance number of the fresh air handling unit, and the output parameters of the first functional segment are the input parameters of the second functional segment, and so on; and then actual measurement data, namely actual output parameters, acquired according to the sensing devices arranged in each functional section are acquired, output simulation parameters of the heat and humidity treatment mechanism debugging model are acquired, comparison and analysis are carried out after filtering treatment, and relevant parameters of the heat and humidity treatment mechanism debugging model are continuously adjusted, so that the heat and humidity treatment mechanism debugging model gradually approaches an actual fresh air handling unit, digital twinning in the heat and humidity treatment process of the fresh air handling unit is realized, and a twinborn heat and humidity treatment mechanism model is obtained.
In step 103, performing heat and humidity treatment by using the twin heat and humidity treatment mechanism model, debugging control logics of the control model to relevant components in the heat and humidity treatment mechanism model and the physical model in the heat and humidity treatment process, and obtaining the twin control model when outputting corresponding target control parameters.
In one possible embodiment, the control models include a response characteristics model, a control strategy model, and an actuator model. The response characteristic model is used for determining the response type of the response which is output to reach the set parameter based on the actual state parameter; a control strategy model for controlling the control logic adopted for making the response of the corresponding response type to achieve the set parameters; and the executing mechanism model is used for controlling the heat and humidity treatment mechanism models of different functional sections and relevant components in the physical model to execute corresponding treatment according to the control strategy.
In step 104, a target control parameter and a current state parameter are obtained during the operation of the target fresh air handling unit, heat and humidity processing is performed by using the twin heat and humidity processing mechanism model, and related components in the heat and humidity processing mechanism model and the physical model are logically controlled by using the control model according to the target control parameter and the current state parameter during the heat and humidity processing.
The flow chart of step 104 is shown in fig. 3, and includes the following:
in step 301, the setting parameters and actual state parameters obtained in the operation process of the target fresh air handling unit are input into the control model.
It should be added that the setting parameters and actual state parameters obtained in the operation process of the target fresh air handling unit are the setting parameters and actual state parameters given to each functional segment of the heat and humidity treatment mechanism model in the above steps 201 to 204.
In step 302, the control model determines the control logic of the relevant components in the heat and humidity treatment mechanism model and the physical model for outputting the set parameters based on the actual state parameters.
It should be noted that if the actual state parameter is large, the relevant parameter of the heat and moisture treatment mechanism model in the heat and moisture treatment process needs to be adjusted to make the output reach the set parameter, and how to adjust is the control logic for the relevant components in the heat and moisture treatment mechanism model and the physical model of different functional segments. For example, adjusting the spraying angle of the spray head, the rotating speed of the fan, i.e., the angular speed, and if the spraying angle is larger or the angular speed of the fan is larger, the specific process of adjusting the spraying angle or the angular speed of the fan is the control logic.
In step 303, the heat and humidity processing mechanism models of different functional segments and the relevant components in the physical model are controlled to execute corresponding processing according to the determined control logic, so as to obtain the simulated output parameters of the target fresh air handling unit.
In step 304, the fresh air handling unit is controlled according to the determined control logic to perform heat and humidity processing of different functional segments and corresponding processing of relevant components, and actual output parameters of the target fresh air handling unit are acquired.
In order to make the simulation effect of the heat and humidity treatment mechanism model better and make the heat and humidity treatment mechanism model approach to the actual fresh air handling unit, the control logic needs to be determined for multiple times, and each time the control logic is determined, the control logic respectively controls the heat and humidity treatment mechanism models with different functional segments and relevant components in the physical model according to the determined control logic, controls the fresh air handling unit to perform heat and humidity treatment and relevant components with different functional segments, executes corresponding treatment, and respectively obtains the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter.
In step 305, the control model is debugged until the simulated target fresh air handling unit output parameter and the target fresh air handling unit output parameter are less than a set value by comparing the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter.
After the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter are obtained in step 303 and step 304, the control model is debugged by comparing the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter until the simulated target fresh air handling unit output parameter and the target fresh air handling unit output parameter are less than the set value. For example, the set value is 5%, the number of times of debugging the control model is 5, and at this time, the simulated target fresh air handling unit output parameter and the target fresh air handling unit output parameter are smaller than the set value, so that the twin of the physical model, the heat and humidity treatment mechanism model and the control model of the fresh air handling unit is realized in the debugging process.
In a possible embodiment, the control model further comprises:
and determining a data analysis model of a parameter correction mode of the response characteristic model, the control strategy model and the actuating mechanism model by analyzing the comparison result of the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter.
The data analysis model can effectively perform reasonable processing analysis on batch data, further revises parameters of the response characteristic model, the control strategy model and the execution mechanism model according to data analysis results, and well realizes twinning of the physical model, the heat and humidity processing mechanism model and the control model of the fresh air handling unit.
In another possible embodiment, the control model further comprises:
and the algorithm optimization model is used for analyzing the comparison result of the simulated target fresh air handling unit output parameters and the actual target fresh air handling unit output parameters and optimizing the control algorithm adopted by the control strategy model.
The algorithm optimization model optimizes control parameters of all functional sections of the fresh air handling unit, and the algorithm optimization model also continuously adjusts a core algorithm based on comparative analysis of measured data and algorithm prediction data so as to improve the progress of the optimization analysis model. Further, twins among a physical model, a mechanism model, a control model and an algorithm model can be achieved.
In a possible embodiment, the relation between the digital twin models of the fresh air handling units is as shown in fig. 4, the technical scheme provided by the application can realize geometric twin, namely digital twin of physical models of a target fresh air handling unit and a target fresh air handling unit, wherein simulation data is geometric data of the physical models, and actually measured data is geometric data of an actual target fresh air handling unit; the method can also realize air handling mechanism twinning, namely digital twinning of the heat and humidity handling mechanism model and the heat and humidity handling process of the target fresh air handling unit, wherein simulation data are input parameters and output parameters of different functional sections of the heat and humidity handling mechanism model, and actual measurement data are actual input parameters and actual output parameters corresponding to the functional sections acquired by a physical sensor in the heat and humidity handling process of the target fresh air handling unit; the method also comprises a control process twin, namely debugging the control logic of the control model to relevant parts in the heat and humidity treatment mechanism model and the physical model, and obtaining the twin control model when outputting and obtaining corresponding target control parameters; and twins in the optimization process, namely analyzing the comparison result of the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter through the algorithm optimization model, optimizing the control algorithm adopted by the control strategy model, and finally achieving twins among the physical model, the mechanism model, the control model and the algorithm model. The control of the fresh air handling unit is realized by adjusting related parameters of the control model, and the variable working condition accurate control, operation optimization, efficiency improvement, fault analysis and other value-added services of the fresh air handling unit, such as preventive maintenance management, work order management, spare part management and the like, can be realized.
In one possible embodiment, a digital twin model architecture diagram of a dual cold source fresh air handling unit is shown in fig. 5. The digital twin model architecture of the double-cold-source fresh air handling unit comprises a physical layer, a data layer, a model layer and an application layer.
The physical layer comprises a fresh air handling unit complete machine, functional sections of the handling unit, pipelines, accessories, sensors and actuators, the physical layer is the whole physical equipment of the double-cold-source fresh air handling unit, the fresh air handling unit provides geometric data and physical data for an established physical model, the functional sections of the handling unit comprise functional sections of filtering, heating, surface cooling, drying and wetting, spraying and the like in the operation process of the fresh air handling unit, and different functional sections can be adopted for processing aiming at different application scenes and application requirements; pipelines and components, namely related pipelines and components of each functional section of the unit, such as related components of a nozzle, a water pump, a fan and the like during spraying; the sensor is a sensor of the fresh air handling unit and is used for acquiring actual measurement data of the fresh air handling unit in the operation process and transmitting the actual measurement data to the data layer; the actuator is used for executing relevant control logic (namely a regulation and control instruction) from the controller model, so that the fresh air handling unit is controlled to carry out heat and humidity treatment on different functional sections and relevant parts to carry out corresponding treatment.
The data layer includes input conditions, modeling data, measured data, and data analysis. The input conditions comprise motion behaviors and constraint conditions, the motion behaviors are motion states of all motion parts of the current fresh air handling unit, for example, the fan is in a centrifugal rotation state and is the motion behaviors, and the range of the rotation angular speed is the constraint conditions; the modeling data comprises geometric data, physical data, control data and logic data, wherein the geometric data is the geometric data used for building a physical model of the target fresh air handling unit and is not repeated again; the physical data comprises data such as air characteristics and input water temperature, and the control data is that corresponding parts of the fresh air handling unit are controlled to execute different instructions under different conditions, so that different functions are realized, for example, a valve A is closed under a certain condition, a valve B is closed under other conditions, and similar data is the control data; the logic data is corresponding parts for controlling the fresh air handling unit under different conditions, the logic data provides reference for control data, for example, the data of the types such as controlling the air intake amount under different temperature conditions is the logic data, and the established digital twin model controls the fresh air handling unit to perform heat and humidity treatment of different functional sections and corresponding treatment of the corresponding parts according to the related logic data and the control data; the measured data is related data obtained according to a sensor of a physical layer and is divided into historical data and real-time data, and a data analysis model and an algorithm optimization model in the digital twin model compare and analyze the measured data and the simulation data, so that the related model is continuously corrected; and the data analysis is to establish a data analysis model and an algorithm optimization model and compare and analyze the measured data and the simulation data.
The model layer comprises models such as a fresh air handling unit heat and humidity treatment mechanism model, a physical model, a control model and an algorithm model, the models correspond to the mechanism model, the physical model, the control model and the algorithm model, and the algorithm model comprises a vertical data analysis model and an algorithm optimization model. The application realizes the relevant application of the application layer through the twinning of a multidisciplinary joint modeling mechanism model, a physical model, a control model and an algorithm model. For example, the application layer includes other value-added services such as operation optimization, performance improvement, failure analysis, and the like.
In summary, according to the fresh air handling unit regulation and control method based on the digital twin, a physical model of a target double-cold-source fresh air handling unit is constructed, a twin heat and humidity treatment mechanism model is constructed, the mechanism model is continuously adjusted through actually measured data obtained by a physical sensor, then a twin control model is added, a control instruction is output to a corresponding actuator to carry out, the requirement of dynamically debugging a fresh air handling unit system from the mechanism model is met, meanwhile, the control parameter is optimized and controlled, the problems that an existing fresh air handling unit control system is mainly based on experience control and lacks dynamic adaptive regulation and control capacity for unit variable working condition operation are effectively solved, the control requirements of energy conservation and the like are met, and the working efficiency of the fresh air handling unit is improved.
Having described the digital twin-based fresh air handling unit regulation method according to an exemplary embodiment of the present application, an electronic device according to another exemplary embodiment of the present application will be described next.
As will be appreciated by one skilled in the art, aspects of the present application may be embodied as a system, method or program product. Accordingly, various aspects of the present application may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
In some possible implementations, an electronic device according to the present application may include at least one processor, and at least one memory. The memory stores program codes, and when the program codes are executed by the processor, the processor is enabled to execute the digital twin-based fresh air handling unit regulation and control method according to various exemplary embodiments of the present application, which is described above in the specification. For example, the processor may perform steps as in a digital twin based fresh air handling unit regulation method.
The electronic device 130 according to this embodiment of the present application is described below with reference to fig. 6. The electronic device 130 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the electronic device 130 is represented in the form of a general electronic device. The components of the electronic device 130 may include, but are not limited to: the at least one processor 131, the at least one memory 132, and a bus 133 that connects the various system components (including the memory 132 and the processor 131).
The memory 132 may include readable media in the form of volatile memory, such as Random Access Memory (RAM) 1321 and/or cache memory 1322, and may further include Read Only Memory (ROM) 1323.
The electronic device 130 may also communicate with one or more external devices 134 (e.g., keyboard, pointing device, etc.), with one or more devices that enable a user to interact with the electronic device 130, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 130 to communicate with one or more other electronic devices. Such communication may occur via input/output (I/O) interfaces 135. Also, the electronic device 130 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 136. As shown, network adapter 136 communicates with other modules for electronic device 130 over bus 133. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 130, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
In an exemplary embodiment, a computer-readable storage medium comprising instructions, such as the memory 132 comprising instructions, executable by the processor 131 to perform the above-described method of digital twin-based fresh air handling unit regulation is also provided. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, a computer program product is also provided, comprising a computer program which when executed by the processor 131 implements any of the digital twin based fresh air handling unit regulation methods as provided herein.
In exemplary embodiments, various aspects of a digital twin-based fresh air handling unit regulation method provided by the present application may also be implemented in the form of a program product, which includes program code for causing a computer device to perform the steps of the digital twin-based fresh air handling unit regulation method according to various exemplary embodiments of the present application described above in this specification, when the program product is run on the computer device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The fresh air handling unit regulation and control method for the digital twin-based according to the embodiment of the present application may employ a portable compact disc read only memory (CD-ROM) and include program codes, and may be executed on an electronic device. However, the program product of the present application is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the consumer electronic device, partly on the consumer electronic device, as a stand-alone software package, partly on the consumer electronic device and partly on a remote electronic device, or entirely on the remote electronic device or server. In the case of remote electronic devices, the remote electronic devices may be connected to the consumer electronic device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to external electronic devices (e.g., through the internet using an internet service provider).
It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functions of two or more units described above may be embodied in one unit, according to embodiments of the application. Conversely, the features and functions of one unit described above may be further divided into embodiments by a plurality of units.
Further, while the operations of the methods of the present application are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable image scaling apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable image scaling apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable image scaling apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable image scaling device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer implemented process such that the instructions which execute on the computer or other programmable device provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A fresh air handling unit regulation and control method based on digital twinning is characterized by comprising the following steps:
acquiring geometric data of a target fresh air handling unit, and performing digital twinning on a physical model of the target fresh air handling unit based on the geometric data;
acquiring input parameters and output parameters of different functional sections in the heat and humidity treatment process of the target fresh air handling unit, inputting the input parameters into heat and humidity treatment mechanism models of corresponding functional sections, and debugging the heat and humidity treatment mechanism models to obtain twin heat and humidity treatment mechanism models when the corresponding output parameters are output by the heat and humidity treatment mechanism models;
performing heat and humidity treatment by using the twin heat and humidity treatment mechanism model, debugging control logics of the control model to relevant parts in the heat and humidity treatment mechanism model and the physical model in the heat and humidity treatment process, and obtaining the twin control model when outputting corresponding target control parameters;
and acquiring target control parameters and current state parameters in the operation process of the target fresh air handling unit, performing heat and humidity treatment by using the twin heat and humidity treatment mechanism model, and performing logic control on relevant components in the heat and humidity treatment mechanism model and the physical model by using the control model according to the target control parameters and the current state parameters in the heat and humidity treatment process.
2. The method of claim 1, wherein the steps of collecting input parameters and output parameters of different functional segments, inputting the input parameters into the thermo-hygro-mechanical models of the corresponding functional segments, and debugging the thermo-hygro-mechanical models to output the corresponding output parameters to obtain twin thermo-hygro-mechanical models comprise:
constructing heat and humidity treatment mechanism debugging models corresponding to different functional sections in advance based on the physical model of the target fresh air handling unit;
acquiring actual input parameters and actual output parameters corresponding to each functional segment in the heat and humidity treatment process of the target fresh air handling unit;
inputting the acquired actual input parameters of the first function section into a heat and humidity treatment mechanism debugging model of the corresponding function section, performing heat and humidity treatment by the heat and humidity treatment mechanism debugging model according to the actual input parameters and outputting simulation parameters, and inputting the output simulation parameters serving as the input parameters of the next function section into the corresponding heat and humidity treatment mechanism debugging model;
and determining the difference value between the output simulation parameter and the actual output parameter of each functional section, and debugging the heat and humidity treatment mechanism debugging model according to the difference value until the difference value is smaller than a set threshold value to obtain the heat and humidity treatment mechanism model corresponding to each functional section.
3. The method of claim 1, wherein the control model comprises a response characteristic model, a control strategy model and an execution mechanism model, the control logic of the control model for relevant parts in the thermal-wet treatment mechanism model and the physical model is debugged in the thermal-wet treatment process, and when the corresponding target control parameters are obtained through output, the twin control model is obtained, and the method comprises the following steps:
inputting the setting parameters and the actual state parameters acquired in the running process of the target fresh air handling unit into a control model;
determining control logics of outputting the set parameters to relevant parts in different functional section heat and humidity treatment mechanism models and physical models based on the actual state parameters through the control model;
controlling related components in the heat and humidity treatment mechanism models and the physical models of different functional segments to execute corresponding treatment according to the determined control logic to obtain simulated target fresh air handling unit output parameters;
controlling the fresh air handling unit to perform heat and humidity treatment on different functional sections and corresponding treatment of relevant parts according to the determined control logic, and acquiring actual output parameters of the target fresh air handling unit;
and debugging the control model until the simulated target fresh air handling unit output parameter and the target fresh air handling unit output parameter are smaller than a set value by comparing the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter.
4. The method of claim 3, wherein the control model comprises:
a response characteristic model for determining a type of response by outputting the setting parameter based on the actual state parameter;
a control strategy model for controlling the control logic adopted for making the response of the corresponding response type to achieve the set parameters;
and the executing mechanism model is used for controlling related components in the heat and humidity treatment mechanism models and the physical models of different functional sections to execute corresponding treatment according to the control strategy.
5. The method of claim 4, wherein the control model further comprises:
and determining a data analysis model of a parameter correction mode of the response characteristic model, the control strategy model and the actuating mechanism model by analyzing the comparison result of the simulated target fresh air handling unit output parameter and the actual target fresh air handling unit output parameter.
6. The method of claim 4, wherein the control model further comprises:
and the algorithm optimization model is used for analyzing the comparison result of the simulated target fresh air handling unit output parameters and the actual target fresh air handling unit output parameters and optimizing the control algorithm adopted by the control strategy model.
7. The method according to claim 1, wherein the geometric data of the target fresh air handling unit comprises the outer dimensions of the target fresh air handling unit, the number of functional segments included, and the geometric dimensions of the components of each functional segment.
8. A fresh air handling unit regulation and control device based on digit twin, its characterized in that, the device includes:
the digital twinning module of the physical model is configured to acquire geometric data of the target fresh air handling unit and carry out digital twinning on the physical model of the target fresh air handling unit based on the geometric data;
the digital twin module of the heat and humidity treatment mechanism model is configured to acquire input parameters and output parameters of different functional sections in the heat and humidity treatment process of the target fresh air handling unit, input the input parameters into the heat and humidity treatment mechanism model of the corresponding functional section, and obtain the twin heat and humidity treatment mechanism model when the heat and humidity treatment mechanism model is debugged to output the corresponding output parameters;
the digital twin module of the control model is configured to utilize the twin heat and humidity treatment mechanism model to carry out heat and humidity treatment, debug the control model to the control logic of relevant parts in the heat and humidity treatment mechanism model and the physical model in the heat and humidity treatment process, and obtain the twin control model when outputting corresponding target control parameters;
and the logic control module is configured to acquire a target control parameter and a current state parameter in the operation process of the target fresh air handling unit, perform heat and humidity treatment by using the twin heat and humidity treatment mechanism model, and perform logic control on relevant components in the heat and humidity treatment mechanism model and the physical model by using the control model according to the target control parameter and the current state parameter in the heat and humidity treatment process.
9. An electronic device, comprising:
a display, a processor, and a memory;
the display is used for displaying information;
the memory to store the processor-executable instructions;
the processor is configured to execute the instructions to implement the digital twin based fresh air handling unit regulation method of any of claims 1-7.
10. A computer-readable storage medium, comprising:
the instructions in the computer readable storage medium, when executed by the terminal device, enable the terminal device to perform the digital twinning based fresh air handling unit regulation method of any of claims 1-7.
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