Heating simulation and effect evaluation method and system and medium

Abstract

The invention provides a heating simulation and effect evaluation method and system and a medium. The method comprises the steps that modeling is carried out according to heating system characteristic data to obtain a heating system physical model, environment position meteorological data are obtained, virtual simulation is carried out in combination with the heating system physical model, a heating operation simulation model is obtained, virtual heating is carried out, and dynamic monitoring data are monitored, wherein the dynamic monitoring data comprise room temperature fluctuation rate data and room humidity fluctuation rate data; a plurality of environmental change monitoring data are collected, a simulation system environmental change factor is obtained, heating efficiency steady-state evaluation is carried out in combination with room temperature fluctuation rate data and room humidity fluctuation rate data, and a virtual heating efficiency steady-state index is obtained; according to the method, the dynamic power consumption evaluation data and the simulation system environment change factor are combined to perform heating benefit evaluation, a virtual heating benefit index is obtained and compared with a preset heating benefit threshold value, and the simulation heating benefit of the heating system is judged according to a comparison result, so that the heating simulation and effect evaluation technology is realized.

Description

Technical Field

[0001] The present application relates to the technical field of simulation and heating systems, and in particular to a heating simulation and effect evaluation method, system and medium. Background Art

[0002] As people's living standards continue to improve, the requirements for indoor environmental comfort are increasing. Heating is an important means to ensure indoor comfortable temperature, and its effect is directly related to people's quality of life and work efficiency.

[0003] However, technological advances have made heating systems more complex and diverse. It is crucial to evaluate the heating effect more efficiently, accurately and cost-effectively, and ultimately achieve the effect of maintaining a constant temperature and humidity in the heating system and providing a more efficient and energy-saving heating environment.

[0004] At present, the technology for using virtual simulation to evaluate the effect of heating is not yet mature, and it is difficult to ensure its intelligence, comprehensiveness and accuracy. The design layout and inspection of heating systems using virtual simulation technology need to be improved, which is a current technology gap in the industry.

[0005] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0006] The purpose of this application is to provide a heating simulation and effect evaluation method, system and medium, which can perform virtual heating operations through a virtual simulation mode and evaluate the heating effect based on the simulation results, so as to discover potential problems, optimize the heating system, improve the performance and efficiency of the heating system, reduce costs and energy consumption, and provide a more efficient and energy-saving heating environment.

[0007] The present application also provides a heating simulation and effect evaluation method, comprising the following steps:

[0008] Acquire characteristic information of the heating system and extract characteristic data of the heating system, and perform modeling based on the characteristic data of the heating system to obtain a physical model of the heating system;

[0009] Acquire the environmental location meteorological data of the heating system, and perform virtual simulation in combination with the physical model of the heating system to obtain a heating operation simulation model and perform virtual heating;

[0010] Collecting multiple corresponding virtual heating dynamic monitoring data of virtual heating within a preset time period according to multiple preset virtual system first monitoring points of the heating operation simulation model, including room temperature fluctuation rate data and room humidity fluctuation rate data;

[0011] Collecting a plurality of environmental change monitoring data within a preset time period according to a plurality of preset virtual system second monitoring points of the heating operation simulation model, and obtaining a simulation system environmental effect change factor according to the plurality of environmental change monitoring data;

[0012] According to the simulation system environmental effect change factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, a heating efficiency steady-state evaluation is performed to obtain a virtual heating efficiency steady-state index;

[0013] Acquire dynamic operation characteristic data of the heating operation simulation model within the preset time period, and process to obtain dynamic power consumption evaluation data of the heating operation simulation model;

[0014] Perform heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index;

[0015] A threshold comparison is performed between the virtual heating benefit index and a preset heating benefit threshold, and the simulated heating benefit of the heating system is determined based on the threshold comparison result.

[0016] Optionally, in the heating simulation and effect evaluation method described in the present application, the step of obtaining heating system characteristic information and extracting heating system characteristic data, and modeling according to the heating system characteristic data to obtain a heating system physical model includes:

[0017] Obtaining heating system characteristic information and extracting heating system characteristic data, including heating system location mark data, system usage data, heating building attribute data, heating system facility data and system pipe size data;

[0018] Modeling is performed according to the characteristic data of the heating system through a preset heating system modeling model to obtain a physical model of the heating system.

[0019] Optionally, in the heating simulation and effect evaluation method described in the present application, the step of obtaining the environmental location meteorological data of the heating system and performing virtual simulation in combination with the physical model of the heating system to obtain the heating operation simulation model and perform virtual heating includes:

[0020] Obtaining environmental location meteorological data of the environment where the heating system is located, including outdoor temperature data, outdoor humidity data, atmospheric pressure data, and weather status data;

[0021] According to the meteorological data of the environmental location combined with the physical model of the heating system, a virtual simulation is performed through a preset system virtual simulation model to obtain an initial model of heating operation simulation;

[0022] Perform virtual operation according to the heating operation simulation initial model and obtain virtual simulation results;

[0023] According to the virtual simulation result, the heating operation simulation initial model is adjusted and optimized to obtain a heating operation simulation model;

[0024] A virtual heating operation is performed according to the heating operation simulation model.

[0025] Optionally, in the heating simulation and effect evaluation method described in the present application, the collecting of multiple environmental change monitoring data within a preset time period according to multiple preset virtual system second monitoring points of the heating operation simulation model, and obtaining the simulation system environmental effect change factor according to the multiple environmental change monitoring data processing include:

[0026] Collecting multiple environmental change monitoring data within a preset time period according to multiple preset virtual system second monitoring points of the heating operation simulation model, including indoor and outdoor temperature difference data, indoor and outdoor humidity difference data, and pressure difference data;

[0027] The plurality of environmental change monitoring data are processed through an environmental effect change evaluation model to obtain a simulation system environmental effect change factor of the heating operation simulation model within the preset time period.

[0028] Optionally, in the heating simulation and effect evaluation method described in the present application, the heating efficiency steady-state evaluation is performed according to the simulation system environmental effect change factor in combination with the room temperature fluctuation rate data and the room humidity fluctuation rate data to obtain a virtual heating efficiency steady-state index, including:

[0029] According to the simulation system environmental effect change factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, a heating efficiency steady-state evaluation is performed through a preset heating efficiency steady-state evaluation model to obtain a virtual heating efficiency steady-state index;

[0030] The calculation formula of the virtual heating efficiency steady-state index is:

[0031]

[0032] Among them, P d is the steady-state index of virtual heating efficiency, n is the number of the first monitoring points of the preset virtual system, X ai , Y bi is the room temperature fluctuation rate data and room humidity fluctuation rate data of the first monitoring point of the i-th preset virtual system, H c is the environmental effect factor of the simulation system, and ω1 and ω2 are the preset characteristic coefficients.

[0033] Optionally, in the heating simulation and effect evaluation method described in the present application, the step of obtaining the dynamic operation characteristic data of the heating operation simulation model within the preset time period, and processing to obtain the dynamic power consumption evaluation data of the heating operation simulation model includes:

[0034] Acquiring dynamic operation characteristic data of the heating operation simulation model within the preset time period, including dynamic energy consumption data of the heating system, dynamic heat load data of the heating system, and heat energy conversion rate data of the heating system;

[0035] The dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system and the heat energy conversion rate data of the heating system are processed by a preset power consumption evaluation model to obtain dynamic power consumption evaluation data of the heating operation simulation model;

[0036] The calculation formula of the dynamic power consumption evaluation data is:

[0037]

[0038] Among them, D r is the dynamic power consumption evaluation data, Q z , W f 、E t They are the dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system, and the heat energy conversion rate data of the heating system, ε, φ, is the preset characteristic coefficient.

[0039] Optionally, in the heating simulation and effect evaluation method described in the present application, the heating benefit evaluation is performed according to the virtual heating efficiency steady-state index in combination with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain the virtual heating benefit index, including:

[0040] Perform heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index;

[0041] The calculation formula of the virtual heating benefit index is:

[0042]

[0043] Among them, K u is the virtual heating benefit index, P d , D r , H c are the virtual heating efficiency steady-state index, dynamic power consumption evaluation data and simulation system environmental effect change factor, and μ, ν and η are the preset characteristic coefficients.

[0044] In a second aspect, the present application provides a heating simulation and effect evaluation system, the system comprising: a memory and a processor, the memory comprising a program of a heating simulation and effect evaluation method, the program of the heating simulation and effect evaluation method being executed by the processor to implement the following steps:

[0045] Acquire characteristic information of the heating system and extract characteristic data of the heating system, and perform modeling based on the characteristic data of the heating system to obtain a physical model of the heating system;

[0046] Acquire the environmental location meteorological data of the heating system, and perform virtual simulation in combination with the physical model of the heating system to obtain a heating operation simulation model and perform virtual heating;

[0047] Collecting multiple corresponding virtual heating dynamic monitoring data of virtual heating within a preset time period according to multiple preset virtual system first monitoring points of the heating operation simulation model, including room temperature fluctuation rate data and room humidity fluctuation rate data;

[0048] Collecting a plurality of environmental change monitoring data within a preset time period according to a plurality of preset virtual system second monitoring points of the heating operation simulation model, and obtaining a simulation system environmental effect change factor according to the plurality of environmental change monitoring data;

[0049] According to the simulation system environmental effect change factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, a heating efficiency steady-state evaluation is performed to obtain a virtual heating efficiency steady-state index;

[0050] Acquire dynamic operation characteristic data of the heating operation simulation model within the preset time period, and process to obtain dynamic power consumption evaluation data of the heating operation simulation model;

[0051] Perform heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index;

[0052] A threshold comparison is performed between the virtual heating benefit index and a preset heating benefit threshold, and the simulated heating benefit of the heating system is determined based on the threshold comparison result.

[0053] Optionally, in the heating simulation and effect evaluation system described in the present application, the step of obtaining characteristic information of the heating system and extracting characteristic data of the heating system, and modeling the heating system physical model according to the characteristic data of the heating system includes:

[0054] Obtaining heating system characteristic information and extracting heating system characteristic data, including heating system location mark data, system usage data, heating building attribute data, heating system facility data and system pipe size data;

[0055] Modeling is performed according to the characteristic data of the heating system through a preset heating system modeling model to obtain a physical model of the heating system.

[0056] In a third aspect, the present application also provides a computer-readable storage medium, in which a heating simulation and effect evaluation method program is stored. When the heating simulation and effect evaluation method program is executed by a processor, the steps of the heating simulation and effect evaluation method as described in any one of the above items are implemented.

[0057] As can be seen from the above, the present application provides a heating simulation and effect evaluation method, system and medium, which obtains a physical model of the heating system by modeling according to the characteristic data of the heating system, obtains the environmental location meteorological data of the heating system, and performs virtual simulation in combination with the physical model of the heating system, obtains a heating operation simulation model and performs virtual heating, monitors virtual heating dynamic monitoring data, including room temperature fluctuation data and room humidity fluctuation data; collects multiple environmental change monitoring data within a preset time period, and obtains the simulation system environmental effect change factor, further combines the room temperature fluctuation data and the room humidity fluctuation data to perform a heating efficiency steady-state evaluation, and obtains a virtual heating efficiency steady-state index; and combines the processed dynamic power consumption evaluation data and the simulation system environmental effect change factor to perform a heating benefit evaluation, obtain a virtual heating benefit index, and perform a threshold comparison with the preset heating benefit threshold, and judge the simulated heating benefit of the heating system according to the threshold comparison result, thereby realizing the technology of heating simulation and effect evaluation.

[0058] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0060] Figure 1 A flowchart of a heating simulation and effect evaluation method provided in an embodiment of the present application;

[0061] Figure 2 A flowchart of obtaining a physical model of a heating system in a heating simulation and effect evaluation method provided in an embodiment of the present application;

[0062] Figure 3A flowchart of obtaining a heating operation simulation model for the heating simulation and effect evaluation method provided in an embodiment of the present application;

[0063] Figure 4 A flow chart of obtaining the environmental effect variation factor of the simulation system in the heating simulation and effect evaluation method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0064] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0065] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0066] Please refer to Figure 1 , Figure 1 1 is a flow chart of a heating simulation and effect evaluation method in some embodiments of the present application. The heating simulation and effect evaluation method is used in a terminal device, such as a computer, a mobile phone terminal, etc. The heating simulation and effect evaluation method comprises the following steps:

[0067] S11, acquiring characteristic information of the heating system and extracting characteristic data of the heating system, and performing modeling according to the characteristic data of the heating system to obtain a physical model of the heating system;

[0068] S12, obtaining the environmental location meteorological data of the heating system, and performing virtual simulation in combination with the physical model of the heating system, obtaining a heating operation simulation model and performing virtual heating;

[0069] S13, collecting multiple corresponding virtual heating dynamic monitoring data of virtual heating within a preset time period according to multiple preset virtual system first monitoring points of the heating operation simulation model, including room temperature fluctuation rate data and room humidity fluctuation rate data;

[0070] S14, collecting a plurality of environmental change monitoring data within a preset time period according to a plurality of preset virtual system second monitoring points of the heating operation simulation model, and obtaining a simulation system environmental effect change factor according to the plurality of environmental change monitoring data;

[0071] S15, evaluating the steady-state property of heating efficiency according to the simulation system environmental effect variation factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, and obtaining a virtual heating efficiency steady-state index;

[0072] S16, obtaining dynamic operation characteristic data of the heating operation simulation model within the preset time period, and processing to obtain dynamic power consumption evaluation data of the heating operation simulation model;

[0073] S17, performing heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index;

[0074] S18, performing a threshold comparison between the virtual heating benefit index and a preset heating benefit threshold, and determining the simulated heating benefit of the heating system according to the threshold comparison result.

[0075] It should be noted that in order to ensure that the heating system can always maintain constant temperature and humidity, and at the same time maintain good energy efficiency and cost-effectiveness, and to realize the effect evaluation based on virtual simulation heating, its performance and effect can be obtained before the actual operation of the heating system. It is necessary to first obtain the characteristic data of the heating system and model it to obtain the physical model of the heating system, and combine the environmental location meteorological data of the heating system to obtain the heating operation simulation model and perform virtual heating. During the virtual heating operation process, a group of monitoring points, namely the first monitoring points, are set to collect multiple environmental change monitoring data within a preset time period, including room temperature fluctuation rate data and room humidity fluctuation rate data. In addition, another group of monitoring points, namely the second monitoring points, are set to collect multiple environmental change monitoring data and process them to obtain the environmental effect change factor of the simulation system. At the same time, the room temperature fluctuation rate data is combined with and room humidity fluctuation rate data to evaluate the steady-state nature of heating efficiency, and obtain a virtual heating efficiency steady-state index that can provide feedback on heating efficiency. Simultaneously, obtain dynamic operation characteristic data of the heating operation simulation model, and process to obtain dynamic power consumption evaluation data. According to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the environmental effect variation factor of the simulation system, evaluate the heating benefit to obtain a virtual heating benefit index. Finally, compare the virtual heating benefit index with the preset heating benefit threshold, and judge the simulated heating benefit of the heating system according to the threshold comparison result, so as to obtain the performance and effect of the heating system before the actual operation. Then, make adjustments according to the comparison results to ensure that when the heating system is put into actual operation, the heating system can always maintain constant temperature and humidity while maintaining good energy efficiency and cost-effectiveness.

[0076] Please refer to Figure 2 , Figure 2 The flowchart of the method for obtaining a physical model of a heating system in a heating simulation and effect evaluation method in some embodiments of the present application. According to an embodiment of the present invention, the method of obtaining characteristic information of the heating system and extracting characteristic data of the heating system, and modeling the physical model of the heating system according to the characteristic data of the heating system includes:

[0077] S21, obtaining characteristic information of the heating system, and extracting characteristic data of the heating system, including location mark data of the heating system, system usage data, heating building attribute data, heating system facility data, and system pipe size data;

[0078] S22. Modeling is performed according to the characteristic data of the heating system by using a preset heating system modeling model to obtain a physical model of the heating system.

[0079] It should be noted that in order to realize the virtual simulation of the heating system, the modeling is first performed according to the relevant data of the heating system. Since the heating system includes different types, such as boiler-type central heating systems, split distributed heating systems such as heat engine air conditioners, heat pump air source heating systems, etc., it is necessary to obtain the characteristic information of the heating system to be simulated and extract the characteristic data of the heating system, including the location positioning data of the heating system, system usage data, attribute data of the building where the heating system is located, configuration data of the heating system facilities, and size data of the system pipes. The system usage data includes usage data such as residential heating, commercial heating, industrial heating, medical and health heating, and cultural relics protection heating. The heating building attribute data includes attribute data such as building type, building scale, building structure, and building thermal insulation. The heating system facility data includes the model, configuration, power, and layout of the pipe network facilities and equipment of the heating facilities and equipment. Then, according to the extracted heating system characteristic data, modeling is performed through the preset heating system modeling model to obtain the physical model of the heating system. The preset heating system modeling model is a third-party modeling software for digital virtual modeling of system data.

[0080] Please refer to Figure 3 , Figure 3 The flowchart of the heating simulation and effect evaluation method in some embodiments of the present application for obtaining a heating operation simulation model. According to an embodiment of the present invention, the method of obtaining the environmental location meteorological data of the heating system, and performing virtual simulation in combination with the physical model of the heating system, obtaining the heating operation simulation model and performing virtual heating includes:

[0081] S31, obtaining meteorological data of the environment where the heating system is located, including outdoor temperature data, outdoor humidity data, atmospheric pressure data, and weather status data;

[0082] S32, performing virtual simulation through a preset system virtual simulation model according to the environmental location meteorological data combined with the physical model of the heating system to obtain an initial model of heating operation simulation;

[0083] S33, performing virtual operation according to the heating operation simulation initial model and obtaining virtual simulation results;

[0084] S34, adjusting and optimizing the heating operation simulation initial model according to the virtual simulation result to obtain a heating operation simulation model;

[0085] S35. Perform virtual heating operation according to the heating operation simulation model.

[0086] It should be noted that after obtaining the physical model of the heating system, it is necessary to further obtain the virtual operation simulation model of the heating system. It is necessary to first obtain the environmental meteorological data of the system location including outdoor temperature data, outdoor humidity data, atmospheric pressure data and weather status data, and then combine the physical model of the heating system to perform virtual simulation through the preset system virtual simulation model to obtain the initial model of the heating operation simulation, and then perform virtual operation to obtain the virtual simulation results. According to the virtual simulation results, the initial model of the heating operation simulation is adjusted and optimized to finally obtain the heating operation simulation model. The preset system virtual simulation model is a preset virtual simulation model of third-party database simulation modeling, which is used to perform simulation tests based on system test data and abstractly modeled system test models to obtain virtual system simulation tests on the object system.

[0087] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of obtaining the environmental effect change factor of the simulation system in the heating simulation and effect evaluation method in some embodiments of the present application. According to the embodiment of the present invention, the plurality of preset virtual system second monitoring points of the heating operation simulation model collect a plurality of environmental change monitoring data within a preset time period, and obtain the environmental effect change factor of the simulation system according to the plurality of environmental change monitoring data, including:

[0088] S41, collecting multiple environmental change monitoring data within a preset time period according to multiple preset virtual system second monitoring points of the heating operation simulation model, including indoor and outdoor temperature difference data, indoor and outdoor humidity difference data, and pressure difference data;

[0089] S42, processing the plurality of environmental change monitoring data through an environmental effect change evaluation model to obtain a simulation system environmental effect change factor of the heating operation simulation model within the preset time period.

[0090] It should be noted that in order to more accurately evaluate the heating effect, the environmental changes in the location of the heating system need to be considered and processed. For example, the heating effects in different scenes with different climates, seasons, pressures, and outdoor temperatures are significantly different. In order to make the evaluation of the influence of the heating environment more accurate, multiple monitoring points are set up indoors and outdoors in the virtual heating system to collect multiple environmental change monitoring data within a preset time period, including indoor and outdoor temperature difference data, indoor and outdoor humidity difference data, and indoor and outdoor pressure difference data. Then, according to the above data, the calculation formula of the heating operation simulation model that has been obtained is input for calculation and processing to obtain the simulation system environmental effect change factor within the preset time period;

[0091] The calculation formula of the simulation system environmental effect factor is:

[0092]

[0093] Among them, H c is the environmental effect factor of the simulation system, r k ,d e , k v They are the indoor and outdoor temperature difference data, indoor and outdoor humidity difference data, and pressure difference data. is the environmental interference coefficient, λ, β, χ are preset characteristic coefficients (the environmental interference coefficient and characteristic coefficient are obtained by querying the preset virtual heating database).

[0094] According to an embodiment of the present invention, the heating efficiency steady-state evaluation is performed according to the simulation system environmental effect change factor in combination with the room temperature fluctuation rate data and the room humidity fluctuation rate data to obtain a virtual heating efficiency steady-state index, including:

[0095] According to the simulation system environmental effect change factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, a heating efficiency steady-state evaluation is performed through a preset heating efficiency steady-state evaluation model to obtain a virtual heating efficiency steady-state index;

[0096] The calculation formula of the virtual heating efficiency steady-state index is:

[0097]

[0098] Among them, P d is the steady-state index of virtual heating efficiency, n is the number of the first monitoring points of the preset virtual system, X ai , Y bi is the room temperature fluctuation rate data and room humidity fluctuation rate data of the first monitoring point of the i-th preset virtual system, H c is the environmental effect factor of the simulation system, ω1 and ω2 are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset virtual heating database).

[0099] It should be noted that in order to obtain the overall heating effectiveness and stability of the virtual heating system within the preset time period, it is necessary to conduct a steady-state evaluation of the heating efficiency based on the environmental effect factor of the simulation system combined with the room temperature fluctuation data and the room humidity fluctuation data, and obtain the virtual heating efficiency steady-state index through a preset heating efficiency steady-state evaluation model.

[0100] According to an embodiment of the present invention, the step of obtaining the dynamic operation characteristic data of the heating operation simulation model within the preset time period and processing to obtain the dynamic power consumption evaluation data of the heating operation simulation model includes:

[0101] Acquiring dynamic operation characteristic data of the heating operation simulation model within the preset time period, including dynamic energy consumption data of the heating system, dynamic heat load data of the heating system, and heat energy conversion rate data of the heating system;

[0102] The dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system and the heat energy conversion rate data of the heating system are processed by a preset power consumption evaluation model to obtain dynamic power consumption evaluation data of the heating operation simulation model;

[0103] The calculation formula of the dynamic power consumption evaluation data is:

[0104]

[0105] Among them, D r is the dynamic power consumption evaluation data, Q z , W f 、E t They are the dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system, and the heat energy conversion rate data of the heating system, ε, φ, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset virtual heating database).

[0106] It should be noted that in order to further obtain the benefit evaluation of the virtual heating system, the dynamic power consumption of the heating system needs to be considered. Therefore, the dynamic operation characteristic data of the heating operation simulation model within the preset time period is first obtained, including the dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system and the thermal energy conversion rate data of the heating system. The above data are processed through a preset power consumption evaluation model to obtain the dynamic power consumption evaluation data of the heating operation simulation model.

[0107] According to an embodiment of the present invention, the heating benefit evaluation is performed according to the virtual heating efficiency steady-state index in combination with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain the virtual heating benefit index, including:

[0108] Perform heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index;

[0109] The calculation formula of the virtual heating benefit index is:

[0110]

[0111] Among them, K u is the virtual heating benefit index, P d , D r , H c are respectively the steady-state index of virtual heating efficiency, the dynamic power consumption evaluation data and the environmental effect change factor of the simulation system; μ, ν and η are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset virtual heating database).

[0112] It should be noted that in order to ultimately obtain the simulated heating benefits of the heating system and thus realize heating simulation and effect evaluation, it is necessary to first obtain a virtual heating benefit index that can provide feedback on the benefits. Therefore, a heating benefit evaluation is performed based on the virtual heating efficiency steady-state index combined with dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain the virtual heating benefit index.

[0113] In a second aspect, the present invention further discloses a heating simulation and effect evaluation system, comprising a memory and a processor, wherein the memory comprises a heating simulation and effect evaluation method program, and when the heating simulation and effect evaluation method program is executed by the processor, the following steps are implemented:

[0114] Acquire characteristic information of the heating system and extract characteristic data of the heating system, and perform modeling based on the characteristic data of the heating system to obtain a physical model of the heating system;

[0115] Acquire the environmental location meteorological data of the heating system, and perform virtual simulation in combination with the physical model of the heating system to obtain a heating operation simulation model and perform virtual heating;

[0116] Collecting multiple corresponding virtual heating dynamic monitoring data of virtual heating within a preset time period according to multiple preset virtual system first monitoring points of the heating operation simulation model, including room temperature fluctuation rate data and room humidity fluctuation rate data;

[0117] Collecting a plurality of environmental change monitoring data within a preset time period according to a plurality of preset virtual system second monitoring points of the heating operation simulation model, and obtaining a simulation system environmental effect change factor according to the plurality of environmental change monitoring data;

[0118] According to the simulation system environmental effect change factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, a heating efficiency steady-state evaluation is performed to obtain a virtual heating efficiency steady-state index;

[0119] Acquire dynamic operation characteristic data of the heating operation simulation model within the preset time period, and process to obtain dynamic power consumption evaluation data of the heating operation simulation model;

[0120] Perform heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index;

[0121] A threshold comparison is performed between the virtual heating benefit index and a preset heating benefit threshold, and the simulated heating benefit of the heating system is determined based on the threshold comparison result.

[0122] It should be noted that in order to ensure that the heating system can always maintain constant temperature and humidity, and at the same time maintain good energy efficiency and cost-effectiveness, and to realize the effect evaluation based on virtual simulation heating, its performance and effect can be obtained before the actual operation of the heating system. It is necessary to first obtain the characteristic data of the heating system and model it to obtain the physical model of the heating system, and combine the environmental location meteorological data of the heating system to obtain the heating operation simulation model and perform virtual heating. During the virtual heating operation process, a group of monitoring points, namely the first monitoring points, are set to collect multiple environmental change monitoring data within a preset time period, including room temperature fluctuation rate data and room humidity fluctuation rate data. In addition, another group of monitoring points, namely the second monitoring points, are set to collect multiple environmental change monitoring data and process them to obtain the environmental effect change factor of the simulation system. At the same time, the room temperature fluctuation rate data is combined with and room humidity fluctuation rate data to evaluate the steady-state nature of heating efficiency, and obtain a virtual heating efficiency steady-state index that can provide feedback on heating efficiency. Simultaneously, obtain dynamic operation characteristic data of the heating operation simulation model, and process to obtain dynamic power consumption evaluation data. According to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the environmental effect variation factor of the simulation system, evaluate the heating benefit to obtain a virtual heating benefit index. Finally, compare the virtual heating benefit index with the preset heating benefit threshold, and judge the simulated heating benefit of the heating system according to the threshold comparison result, so as to obtain the performance and effect of the heating system before the actual operation. Then, make adjustments according to the comparison results to ensure that when the heating system is put into actual operation, the heating system can always maintain constant temperature and humidity while maintaining good energy efficiency and cost-effectiveness.

[0123] According to an embodiment of the present invention, the step of acquiring characteristic information of the heating system and extracting characteristic data of the heating system, and modeling the heating system according to the characteristic data of the heating system to obtain a physical model of the heating system includes:

[0124] Obtaining heating system characteristic information and extracting heating system characteristic data, including heating system location mark data, system usage data, heating building attribute data, heating system facility data and system pipe size data;

[0125] Modeling is performed according to the characteristic data of the heating system through a preset heating system modeling model to obtain a physical model of the heating system.

[0126] It should be noted that in order to realize the virtual simulation of the heating system, the modeling is first performed according to the relevant data of the heating system. Since the heating system includes different types, such as boiler-type central heating systems, split distributed heating systems such as heat engine air conditioners, heat pump air source heating systems, etc., it is necessary to obtain the characteristic information of the heating system to be simulated and extract the characteristic data of the heating system, including the location positioning data of the heating system, system usage data, attribute data of the building where the heating system is located, configuration data of the heating system facilities, and size data of the system pipes. The system usage data includes usage data such as residential heating, commercial heating, industrial heating, medical and health heating, and cultural relics protection heating. The heating building attribute data includes attribute data such as building type, building scale, building structure, and building thermal insulation. The heating system facility data includes the model, configuration, power, and layout of the pipe network facilities and equipment of the heating facilities and equipment. Then, according to the extracted heating system characteristic data, modeling is performed through the preset heating system modeling model to obtain the physical model of the heating system. The preset heating system modeling model is a third-party modeling software for digital virtual modeling of system data.

[0127] According to an embodiment of the present invention, the step of obtaining the environmental location meteorological data of the heating system and performing virtual simulation in combination with the physical model of the heating system to obtain a heating operation simulation model and perform virtual heating includes:

[0128] Obtaining environmental location meteorological data of the environment where the heating system is located, including outdoor temperature data, outdoor humidity data, atmospheric pressure data, and weather status data;

[0129] According to the meteorological data of the environmental location combined with the physical model of the heating system, a virtual simulation is performed through a preset system virtual simulation model to obtain an initial model of heating operation simulation;

[0130] Perform virtual operation according to the heating operation simulation initial model and obtain virtual simulation results;

[0131] According to the virtual simulation result, the heating operation simulation initial model is adjusted and optimized to obtain a heating operation simulation model;

[0132] A virtual heating operation is performed according to the heating operation simulation model.

[0133] It should be noted that after obtaining the physical model of the heating system, it is necessary to further obtain the virtual operation simulation model of the heating system. It is necessary to first obtain the environmental meteorological data of the system location including outdoor temperature data, outdoor humidity data, atmospheric pressure data and weather status data, and then combine the physical model of the heating system to perform virtual simulation through the preset system virtual simulation model to obtain the initial model of the heating operation simulation, and then perform virtual operation to obtain the virtual simulation results. According to the virtual simulation results, the initial model of the heating operation simulation is adjusted and optimized to finally obtain the heating operation simulation model. The preset system virtual simulation model is a preset virtual simulation model of third-party database simulation modeling, which is used to perform simulation tests based on system test data and abstractly modeled system test models to obtain virtual system simulation tests on the object system.

[0134] According to an embodiment of the present invention, the plurality of preset virtual system second monitoring points of the heating operation simulation model collect a plurality of environmental change monitoring data within a preset time period, and obtain the simulation system environmental effect change factor according to the plurality of environmental change monitoring data, including:

[0135] Collecting multiple environmental change monitoring data within a preset time period according to multiple preset virtual system second monitoring points of the heating operation simulation model, including indoor and outdoor temperature difference data, indoor and outdoor humidity difference data, and pressure difference data;

[0136] The plurality of environmental change monitoring data are processed through an environmental effect change evaluation model to obtain a simulation system environmental effect change factor of the heating operation simulation model within the preset time period.

[0137] It should be noted that in order to more accurately evaluate the heating effect, the environmental changes in the location of the heating system need to be considered and processed. For example, the heating effects in different scenes with different climates, seasons, pressures, and outdoor temperatures are significantly different. In order to make the evaluation of the influence of the heating environment more accurate, multiple monitoring points are set up indoors and outdoors in the virtual heating system to collect multiple environmental change monitoring data within a preset time period, including indoor and outdoor temperature difference data, indoor and outdoor humidity difference data, and indoor and outdoor pressure difference data. Then, according to the above data, the calculation formula of the heating operation simulation model that has been obtained is input for calculation and processing to obtain the simulation system environmental effect change factor within the preset time period;

[0138] The calculation formula of the simulation system environmental effect factor is:

[0139]

[0140] Among them, H c is the environmental effect factor of the simulation system, r k ,d e , kv They are the temperature difference between inside and outside, the humidity difference between inside and outside, and the pressure difference. is the environmental interference coefficient, λ, β, χ are preset characteristic coefficients (the environmental interference coefficient and characteristic coefficient are obtained by querying the preset virtual heating database).

[0141] According to an embodiment of the present invention, the heating efficiency steady-state evaluation is performed according to the simulation system environmental effect change factor in combination with the room temperature fluctuation rate data and the room humidity fluctuation rate data to obtain a virtual heating efficiency steady-state index, including:

[0142] According to the simulation system environmental effect change factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, a heating efficiency steady-state evaluation is performed through a preset heating efficiency steady-state evaluation model to obtain a virtual heating efficiency steady-state index;

[0143] The calculation formula of the virtual heating efficiency steady-state index is:

[0144]

[0145] Among them, P d is the steady-state index of virtual heating efficiency, n is the number of the first monitoring points of the preset virtual system, X ai , Y bi is the room temperature fluctuation rate data and room humidity fluctuation rate data of the first monitoring point of the i-th preset virtual system, H c is the environmental effect factor of the simulation system, and ω1 and ω2 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset virtual heating database).

[0146] It should be noted that in order to obtain the overall heating effectiveness and stability of the virtual heating system within the preset time period, it is necessary to conduct a steady-state evaluation of the heating efficiency based on the environmental effect factor of the simulation system combined with the room temperature fluctuation data and the room humidity fluctuation data, and obtain the virtual heating efficiency steady-state index through a preset heating efficiency steady-state evaluation model.

[0147] According to an embodiment of the present invention, the step of obtaining the dynamic operation characteristic data of the heating operation simulation model within the preset time period and processing to obtain the dynamic power consumption evaluation data of the heating operation simulation model includes:

[0148] Acquiring dynamic operation characteristic data of the heating operation simulation model within the preset time period, including dynamic energy consumption data of the heating system, dynamic heat load data of the heating system, and heat energy conversion rate data of the heating system;

[0149] The dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system and the heat energy conversion rate data of the heating system are processed by a preset power consumption evaluation model to obtain dynamic power consumption evaluation data of the heating operation simulation model;

[0150] The calculation formula of the dynamic power consumption evaluation data is:

[0151]

[0152] Among them, D r is the dynamic power consumption evaluation data, Q z , W f 、E t They are the dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system, and the heat energy conversion rate data of the heating system, ε, φ, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset virtual heating database).

[0153] It should be noted that in order to further obtain the benefit evaluation of the virtual heating system, the dynamic power consumption of the heating system needs to be considered. Therefore, the dynamic operation characteristic data of the heating operation simulation model within the preset time period is first obtained, including the dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system and the thermal energy conversion rate data of the heating system. The above data are processed through a preset power consumption evaluation model to obtain the dynamic power consumption evaluation data of the heating operation simulation model.

[0154] According to an embodiment of the present invention, the heating benefit evaluation is performed according to the virtual heating efficiency steady-state index in combination with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain the virtual heating benefit index, including:

[0155] Perform heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index;

[0156] The calculation formula of the virtual heating benefit index is:

[0157]

[0158] Among them, K u is the virtual heating benefit index, P d , D r , H c are respectively the steady-state index of virtual heating efficiency, the dynamic power consumption evaluation data and the environmental effect change factor of the simulation system; μ, ν and η are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset virtual heating database).

[0159] It should be noted that in order to ultimately obtain the simulated heating benefits of the heating system and thus realize heating simulation and effect evaluation, it is necessary to first obtain a virtual heating benefit index that can provide feedback on the benefits. Therefore, a heating benefit evaluation is performed based on the virtual heating efficiency steady-state index combined with dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain the virtual heating benefit index.

[0160] A third aspect of the present invention provides a readable storage medium, which stores a heating simulation and effect evaluation method program. When the heating simulation and effect evaluation method program is executed by a processor, the steps of the heating simulation and effect evaluation method as described in any one of the above items are implemented.

[0161] The present invention discloses a heating simulation and effect evaluation method, system and medium. The method obtains a physical model of the heating system by modeling according to characteristic data of the heating system, obtains environmental location meteorological data of the heating system, and performs virtual simulation in combination with the physical model of the heating system to obtain a heating operation simulation model and perform virtual heating, monitor virtual heating dynamic monitoring data, including room temperature fluctuation rate data and room humidity fluctuation rate data; collects multiple environmental change monitoring data within a preset time period, and obtains the simulation system environmental effect change factor, further combines the room temperature fluctuation rate data and the room humidity fluctuation rate data to perform a heating efficiency steady-state evaluation, and obtains a virtual heating efficiency steady-state index; and combines the obtained dynamic power consumption evaluation data and the simulation system environmental effect change factor to perform a heating benefit evaluation, obtain a virtual heating benefit index, and perform a threshold comparison with a preset heating benefit threshold, and judge the simulated heating benefit of the heating system according to the threshold comparison result, thereby realizing the technology of heating simulation and effect evaluation.

[0162] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0163] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0164] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0165] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0166] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A heating simulation and effect evaluation method, It is characterized in that The following steps are involved: Acquire characteristic information of the heating system and extract characteristic data of the heating system, and perform modeling based on the characteristic data of the heating system to obtain a physical model of the heating system; Acquire the environmental location meteorological data of the heating system, and perform virtual simulation in combination with the physical model of the heating system to obtain a heating operation simulation model and perform virtual heating; Collecting multiple corresponding virtual heating dynamic monitoring data of virtual heating within a preset time period according to multiple preset virtual system first monitoring points of the heating operation simulation model, including room temperature fluctuation rate data and room humidity fluctuation rate data; Collecting a plurality of environmental change monitoring data within a preset time period according to a plurality of preset virtual system second monitoring points of the heating operation simulation model, and obtaining a simulation system environmental effect change factor according to the plurality of environmental change monitoring data; According to the simulation system environmental effect change factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, a heating efficiency steady-state evaluation is performed to obtain a virtual heating efficiency steady-state index; Acquire dynamic operation characteristic data of the heating operation simulation model within the preset time period, and process to obtain dynamic power consumption evaluation data of the heating operation simulation model; Perform heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index; A threshold comparison is performed between the virtual heating benefit index and a preset heating benefit threshold, and the simulated heating benefit of the heating system is determined based on the threshold comparison result.

2. The heating simulation and effect evaluation method according to claim 1, It is characterized in that The step of obtaining characteristic information of the heating system and extracting characteristic data of the heating system, and modeling the heating system according to the characteristic data of the heating system to obtain a physical model of the heating system includes: Obtaining heating system characteristic information and extracting heating system characteristic data, including heating system location mark data, system usage data, heating building attribute data, heating system facility data and system pipe size data; Modeling is performed according to the characteristic data of the heating system through a preset heating system modeling model to obtain a physical model of the heating system.

3. The heating simulation and effect evaluation method according to claim 2, It is characterized in that The step of obtaining the environmental location meteorological data of the heating system and performing virtual simulation in combination with the physical model of the heating system to obtain a heating operation simulation model and perform virtual heating includes: Obtaining environmental location meteorological data of the environment where the heating system is located, including outdoor temperature data, outdoor humidity data, atmospheric pressure data, and weather status data; According to the meteorological data of the environmental location combined with the physical model of the heating system, a virtual simulation is performed through a preset system virtual simulation model to obtain an initial model of heating operation simulation; Perform virtual operation according to the heating operation simulation initial model and obtain virtual simulation results; According to the virtual simulation result, the heating operation simulation initial model is adjusted and optimized to obtain a heating operation simulation model; A virtual heating operation is performed according to the heating operation simulation model.

4. The heating simulation and effect evaluation method according to claim 3, It is characterized in that The method collects a plurality of environmental change monitoring data within a preset time period according to a plurality of preset virtual system second monitoring points of the heating operation simulation model, and obtains a simulation system environmental effect change factor according to the plurality of environmental change monitoring data, including: Collecting multiple environmental change monitoring data within a preset time period according to multiple preset virtual system second monitoring points of the heating operation simulation model, including indoor and outdoor temperature difference data, indoor and outdoor humidity difference data, and pressure difference data; The plurality of environmental change monitoring data are processed through an environmental effect change evaluation model to obtain a simulation system environmental effect change factor of the heating operation simulation model within the preset time period.

5. The heating simulation and effect evaluation method according to claim 4, It is characterized in that The heating efficiency steady-state evaluation is performed according to the simulation system environmental effect change factor in combination with the room temperature fluctuation rate data and the room humidity fluctuation rate data to obtain a virtual heating efficiency steady-state index, including: According to the simulation system environmental effect change factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, a heating efficiency steady-state evaluation is performed through a preset heating efficiency steady-state evaluation model to obtain a virtual heating efficiency steady-state index; The calculation formula of the virtual heating efficiency steady-state index is: Among them, P d is the steady-state index of virtual heating efficiency, n is the number of the first monitoring points of the preset virtual system, X ai , Y bi is the room temperature fluctuation rate data and room humidity fluctuation rate data of the first monitoring point of the i-th preset virtual system, H c is the environmental effect factor of the simulation system, ω 1 ,ω 2 is the preset characteristic coefficient.

6. The heating simulation and effect evaluation method according to claim 5, It is characterized in that The step of obtaining the dynamic operation characteristic data of the heating operation simulation model within the preset time period and processing to obtain the dynamic power consumption evaluation data of the heating operation simulation model includes: Acquiring dynamic operation characteristic data of the heating operation simulation model within the preset time period, including dynamic energy consumption data of the heating system, dynamic heat load data of the heating system, and heat energy conversion rate data of the heating system; The dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system and the heat energy conversion rate data of the heating system are processed by a preset power consumption evaluation model to obtain dynamic power consumption evaluation data of the heating operation simulation model; The calculation formula of the dynamic power consumption evaluation data is: Among them, D r is the dynamic power consumption evaluation data, Q z , W f 、E t They are the dynamic energy consumption data of the heating system, the dynamic heat load data of the heating system, and the heat energy conversion rate data of the heating system, ε, φ, is the preset characteristic coefficient.

7. The heating simulation and effect evaluation method according to claim 6, It is characterized in that The heating benefit evaluation is performed according to the virtual heating efficiency steady-state index in combination with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index, including: Perform heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index; The calculation formula of the virtual heating benefit index is: Among them, K u is the virtual heating benefit index, P d , D r , H c are the virtual heating efficiency steady-state index, dynamic power consumption evaluation data and simulation system environmental effect change factor, and μ, ν and η are the preset characteristic coefficients.

8. A heating simulation and effect evaluation system, It is characterized in that The system includes: a memory and a processor, wherein the memory includes a program of a heating simulation method, and when the program of the heating simulation method is executed by the processor, the following steps are implemented: Acquire characteristic information of the heating system and extract characteristic data of the heating system, and perform modeling based on the characteristic data of the heating system to obtain a physical model of the heating system; Acquire the environmental location meteorological data of the heating system, and perform virtual simulation in combination with the physical model of the heating system to obtain a heating operation simulation model and perform virtual heating; Collecting multiple corresponding virtual heating dynamic monitoring data of virtual heating within a preset time period according to multiple preset virtual system first monitoring points of the heating operation simulation model, including room temperature fluctuation rate data and room humidity fluctuation rate data; Collecting a plurality of environmental change monitoring data within a preset time period according to a plurality of preset virtual system second monitoring points of the heating operation simulation model, and obtaining a simulation system environmental effect change factor according to the plurality of environmental change monitoring data; According to the simulation system environmental effect change factor combined with the room temperature fluctuation rate data and the room humidity fluctuation rate data, a heating efficiency steady-state evaluation is performed to obtain a virtual heating efficiency steady-state index; Acquire dynamic operation characteristic data of the heating operation simulation model within the preset time period, and process to obtain dynamic power consumption evaluation data of the heating operation simulation model; Perform heating benefit evaluation according to the virtual heating efficiency steady-state index combined with the dynamic power consumption evaluation data and the simulation system environmental effect change factor to obtain a virtual heating benefit index; A threshold comparison is performed between the virtual heating benefit index and a preset heating benefit threshold, and the simulated heating benefit of the heating system is determined based on the threshold comparison result.

9. The heating simulation and effect evaluation system according to claim 8, It is characterized in that The step of obtaining characteristic information of the heating system and extracting characteristic data of the heating system, and modeling the heating system according to the characteristic data of the heating system to obtain a physical model of the heating system includes: Obtaining heating system characteristic information and extracting heating system characteristic data, including heating system location mark data, system usage data, heating building attribute data, heating system facility data and system pipe size data; Modeling is performed according to the characteristic data of the heating system through a preset heating system modeling model to obtain a physical model of the heating system.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium includes a heating simulation method program. When the heating simulation and effect evaluation method program is executed by a processor, the steps of the heating and effect evaluation method according to any one of claims 1 to 7 are implemented.

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