Method for processing thermal energy data of a heating system and heating system

Abstract

The application discloses a heat energy data processing method of a heat supply system and the heat supply system. The method comprises the following steps: based on a construction target, acquiring first flow information of at least one heat supply branch in the heat supply system, and first head temperature information and first tail temperature information of the heat supply branch; in the case where it is determined that a plurality of preset constraint condition groups all meet a first requirement, determining an energy storage model of the heat supply system based on at least the first flow information, the first head temperature information and the first tail temperature information; based on a detection target, acquiring second flow information of the heat supply branch, and second head temperature information and second tail temperature information of the heat supply branch; and based on at least the second flow information, the second head temperature information and the second tail temperature information, determining target energy storage information of the heat supply system by using the energy storage model, so as to control the heat supply system based on the target energy storage information. The method can acquire the energy storage model, and then control the heat supply system by using the energy storage model.

Description

Technical Field

[0001] This application relates to the field of heating systems, and in particular to a method for processing thermal energy data of a heating system and a heating system thereof. Background Technology

[0002] In heating systems, especially district heating systems, heat transport uses a working medium as the carrier, and the transmission speed is limited by the flow rate of the working medium, resulting in a significant time delay in heat energy delivery. This time delay characteristic means that the generation, transmission, and consumption stages of a district heating system do not need to be completed simultaneously or adjusted in equal amounts, giving the heating system energy storage characteristics. This energy storage characteristic provides potential flexibility resources for the power system. However, current research has failed to systematically establish an energy storage model for district heating systems, and therefore cannot express the energy storage information in the heating system based on the energy storage model, thus failing to flexibly control and process heat energy resources based on this energy storage information. Summary of the Invention

[0003] The purpose of this application is to provide a method for processing thermal energy data of a heating system and a heating system in general. This method can obtain an energy storage model that is compatible with the heating system, and then use the energy storage model to accurately obtain the target energy storage information of the heating system. Thus, the thermal energy stored in the heating system can be accurately controlled and flexibly utilized based on the target energy storage information.

[0004] To achieve the above objectives, this application provides a method for processing thermal energy data of a heating system, characterized by comprising:

[0005] Based on the construction objective, the first flow information of at least one heating branch in the heating system, as well as the first head temperature information and the first tail temperature information of the heating branch are obtained.

[0006] If it is determined that all preset sets of constraints meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head temperature information and the first tail temperature information, wherein the energy storage model represents the system energy storage information of the heating system under the first usage scenario.

[0007] Based on the detection target, the second flow information of the heating branch, as well as the second head temperature information and the second tail temperature information of the heating branch are obtained.

[0008] Based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, the target energy storage information of the heating system is determined using the energy storage model, so as to control the heating system based on the target energy storage information, wherein the target energy storage information includes at least: steady-state energy storage information and regulating energy storage information.

[0009] Optionally, when it is determined that all preset sets of constraint conditions meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head-end temperature information, and the first tail-end temperature information, including:

[0010] Determine whether a set of safety constraint conditions used to characterize the safety of equipment in the heating system meets a first requirement, wherein the set of safety constraint conditions includes: a first safety constraint condition constraining the capacity safety of heat exchange equipment in the heating system, and a second safety constraint condition constraining the operational safety of heat exchange equipment and pipelines in the heating system.

[0011] If the set of safety constraints is determined to meet the first requirement, the energy storage model is determined based on the first flow rate information, the first head temperature information, and the first tail temperature information.

[0012] Optionally, determining whether the set of safety constraint conditions used to characterize the equipment safety in the heating system meets the first requirement includes determining whether the first safety constraint condition meets the first requirement, including:

[0013] Determine the first maximum heat exchange power and the first minimum heat exchange power of the heat source heat exchanger in the heating system;

[0014] Based on the first maximum heat exchange power and the first minimum heat exchange power, the first heat exchange power range of the heat source heat exchanger is determined;

[0015] Determine whether the first heat exchange power of the heat source heat exchanger falls within the first heat exchange power range;

[0016] Determine the second maximum heat exchange power and the second minimum heat exchange power of the load heat exchanger in the heating system;

[0017] Based on the second maximum heat exchange power and the second minimum heat exchange power, the second heat exchange power range of the load heat exchanger is determined;

[0018] Determine whether the second heat exchange power of the load heat exchanger falls within the range of the second heat exchange power.

[0019] Optionally, determining whether the set of safety constraints used to characterize the equipment safety in the heating system meets the first requirement includes determining whether the second safety constraint meets the first requirement, including:

[0020] Acquire temperature and pressure information from multiple parts of the heat source heat exchanger in the heating system;

[0021] Obtain temperature and pressure information from multiple locations of the load heat exchanger in the heating system;

[0022] Flow information of multiple parts of the heat source heat exchanger and the load heat exchanger is obtained respectively;

[0023] Determine whether the correlation between the temperature information, the pressure information, and the flow rate information meets the first requirement.

[0024] Optionally, when it is determined that all preset sets of constraint conditions meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head-end temperature information, and the first tail-end temperature information, including:

[0025] A set of structural constraints is determined to characterize the system structure of the heating system, wherein the set of structural constraints includes at least one of the following: a first structural constraint for branch pressure loss in the heating branch; a second structural constraint for the initial and final temperatures of the heat source and / or heat load in the heating branch; a third structural constraint for the flow continuity of nodes in the heating branch; a fourth structural constraint for temperature mixing at nodes in the heating branch; and a fifth structural constraint for the decrease in branch temperature in the heating branch.

[0026] If the set of structural constraints meets the first requirement, the energy storage model is determined based on the first flow rate information, the first head temperature information, and the first tail temperature information.

[0027] Optionally, when it is determined that all preset sets of constraint conditions meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head-end temperature information, and the first tail-end temperature information, including:

[0028] A set of boundary constraints is determined to characterize the heating demand of the heating system, wherein the set of boundary constraints includes at least one of the following: a first boundary constraint set for the heat load power in the heating branch, and a second boundary constraint set for the temperature deviation controlled by the controller of the load heat exchanger in the heating branch.

[0029] If the boundary constraint condition set satisfies the first requirement, the energy storage model is constructed based on the first flow rate information, the first head temperature information, and the first tail temperature information.

[0030] Optionally, determining the target energy storage information of the heating system using the energy storage model, based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, includes:

[0031] Based on the second flow rate information, the second initial temperature information, and the second final temperature information, the upper and lower bounds of the thermal energy storage of the heating system during the heating process are determined using the energy storage model.

[0032] Based on the upper and lower bound information of the thermal energy storage, the up-adjustment margin and down-adjustment margin of the thermal energy storage are determined.

[0033] The adjusted energy storage information is determined based on the upward and downward adjustment margins of the thermal energy storage.

[0034] Optionally, determining the target energy storage information of the heating system using the energy storage model, based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, includes:

[0035] Under the condition that the heating system is in steady-state operation, the temperature correlation information between the second initial temperature information and the second final temperature information is determined;

[0036] Based on the second flow rate information and the temperature correlation information, the steady-state energy storage information is determined using the energy storage model.

[0037] This application also provides a heating system, including:

[0038] The first acquisition module is configured to acquire, based on the construction target, first flow information of at least one heating branch in the heating system, as well as first head temperature information and first tail temperature information of the heating branch.

[0039] The determination module is configured to determine the energy storage model of the heating system based at least on the first flow rate information, the first head temperature information, and the first tail temperature information when multiple preset constraint condition groups meet the first requirement. The energy storage model represents the system energy storage information of the heating system under the first usage scenario.

[0040] The second acquisition module is configured to acquire, based on the detection target, the second flow information of the heating branch, as well as the second head temperature information and the second tail temperature information of the heating branch.

[0041] The processing module is configured to determine the target energy storage information of the heating system based on at least the second flow rate information, the second initial temperature information, and the second final temperature information, using the energy storage model, so as to control the heating system based on the target energy storage information, wherein the target energy storage information includes at least: steady-state energy storage information and regulating energy storage information.

[0042] This application embodiment also provides a heating system, including a processor and a memory, wherein the memory stores an executable program, and the processor processes the executable program to perform the following steps:

[0043] Based on the construction objective, the first flow information of at least one heating branch in the heating system, as well as the first head temperature information and the first tail temperature information of the heating branch are obtained.

[0044] If it is determined that all preset sets of constraints meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head temperature information and the first tail temperature information, wherein the energy storage model represents the system energy storage information of the heating system under the first usage scenario.

[0045] Based on the detection target, the second flow information of the heating branch, as well as the second head temperature information and the second tail temperature information of the heating branch are obtained.

[0046] Based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, the target energy storage information of the heating system is determined using the energy storage model, so as to control the heating system based on the target energy storage information, wherein the target energy storage information includes at least: steady-state energy storage information and regulating energy storage information.

[0047] This processing method can obtain an energy storage model that is compatible with the heating system. Then, the energy storage model can be used to accurately obtain the target energy storage information of the heating system, so as to accurately control and flexibly utilize the thermal energy stored in the heating system based on the target energy storage information. Attached Figure Description

[0048] Figure 1 This is a flowchart illustrating a method for processing thermal energy data in a heating system according to an embodiment of this application.

[0049] Figure 2 Examples of embodiments of this application Figure 1 A flowchart of one embodiment of step S200;

[0050] Figure 3 Examples of embodiments of this application Figure 2 A flowchart of one embodiment of step S210;

[0051] Figure 4 Examples of embodiments of this application Figure 2 A flowchart of another embodiment of step S210;

[0052] Figure 5 Examples of embodiments of this application Figure 1 A flowchart of another embodiment of step S200;

[0053] Figure 6 Examples of embodiments of this application Figure 1 A flowchart of another embodiment of step S200;

[0054] Figure 7 Examples of embodiments of this application Figure 1 A flowchart of one embodiment of step S400;

[0055] Figure 8 Examples of embodiments of this application Figure 1 A flowchart of another embodiment of step S400;

[0056] Figure 9 This is a structural block diagram of a heating system according to an embodiment of this application;

[0057] Figure 10 This is a structural block diagram of another heating system according to an embodiment of this application. Detailed Implementation

[0058] Various embodiments and features of this application are described herein with reference to the accompanying drawings.

[0059] It should be understood that various modifications can be made to the embodiments described herein. Therefore, the above description should not be considered as limiting, but merely as an example of embodiments. Other modifications within the scope and spirit of this application will be apparent to those skilled in the art.

[0060] The accompanying drawings, which are included in and form part of this specification, illustrate embodiments of the present application and, together with the general description of the present application given above and the detailed description of the embodiments given below, serve to explain the principles of the present application.

[0061] These and other features of this application will become apparent from the following description of preferred forms of embodiments given as non-limiting examples, with reference to the accompanying drawings.

[0062] It should also be understood that although this application has been described with reference to some specific examples, those skilled in the art can certainly implement many other equivalent forms of this application.

[0063] The above and other aspects, features and advantages of this application will become more apparent when taken in conjunction with the accompanying drawings and in view of the following detailed description.

[0064] Specific embodiments of this application are described thereafter with reference to the accompanying drawings; however, it should be understood that the claimed embodiments are merely examples of this application, which can be implemented in various ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that could obscure the application. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but merely serve as the basis and representative basis for the claims to teach those skilled in the art to use this application in a variety of substantially any suitable detailed structures.

[0065] This specification may use the phrases “in one embodiment,” “in another embodiment,” “in yet another embodiment,” or “in other embodiments,” all of which may refer to one or more of the same or different embodiments according to this application.

[0066] This application discloses a method for processing thermal energy data of a heating system. This method can construct an energy storage model adapted to the heating system based on its energy storage characteristics. The energy storage model can characterize the system energy storage information of the heating system when the energy storage model is constructed. The energy storage model can be constructed when the heating system is in a specific operating state, such as a normal operating state, thereby ensuring that the constructed energy storage model is adapted to the heating system under that specific operating state.

[0067] Furthermore, the energy storage model can be represented by a series of formulas, which can also be used in practice. Users can obtain the target energy storage information of the heating system by utilizing the constructed energy storage model according to their actual needs. This target energy storage information can be related to the thermal energy stored in the heating system under the target scenario, and can be used to accurately and flexibly control the thermal energy in the heating system.

[0068] The following is in conjunction with the attached diagram. Figure 1 This is a flowchart of a method for processing thermal energy data of a heating system according to an embodiment of this application, such as... Figure 1 As shown, the method for processing the thermal energy data of this heating system is explained in detail. The method includes the following steps:

[0069] S100, based on the construction target, obtain the first flow information of at least one heating branch in the heating system, as well as the first head temperature information and the first tail temperature information of the heating branch.

[0070] For example, in a heating system, such as a district heating system, the speed of heat transfer is limited by the flow rate, which gives the heat transfer a large time delay characteristic, thus enabling the heating system to store heat energy.

[0071] The heat transmission channels in a heating system may include one or more heating branches, each with corresponding flow and temperature information.

[0072] In this embodiment, the construction target can be set according to the actual first use scenario. For example, the construction target can be to collect relevant information of the heating branch when the heating system is in a specific working state, such as the normal working state.

[0073] Furthermore, this embodiment can collect the first flow rate information of the heating branch, as well as the first head temperature information and the first tail temperature information of the heating system under normal operating conditions. The first flow rate information, the first head temperature information, and the first tail temperature information can represent the parameter information of the heating system under normal operating conditions. Specifically, the first flow rate information describes the heat transfer and flow in the heating branch, the first head temperature information is the temperature information at the head of the heating branch, and the first tail temperature information is the temperature information at the tail of the heating branch. For the specific data collection method, appropriate types of sensing devices can be used.

[0074] In one embodiment, when determining the energy storage model, all or part of the energy storage model can be constructed using first flow rate information, first initial temperature information, and first final temperature information collected when the heating branch is in a dynamically changing state. In another embodiment, when determining the energy storage model, all or part of the energy storage model can be constructed using first flow rate information, first initial temperature information, and first final temperature information collected in real time when the heating branch is in a stable state.

[0075] S200, if it is determined that all preset sets of constraint conditions meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head temperature information and the first tail temperature information, wherein the energy storage model represents the system energy storage information of the heating system under the first usage scenario.

[0076] For example, the system energy storage information represented by the energy storage model is the information related to the stored thermal energy of the heating system under the first usage scenario, such as normal operation. Of course, this first usage scenario can also be other usage scenarios of the heating system that meet actual usage needs.

[0077] In determining the energy storage model, multiple constraint sets need to be set to constrain the energy storage model. If all constraint sets meet the first requirement, the energy storage model can be determined based on the first flow rate information, the first head-end temperature information, and the first tail-end temperature information.

[0078] Furthermore, this embodiment requires calculation of multiple constraint sets to determine whether each constraint set satisfies the corresponding conditions or is valid, i.e., whether the first requirement is met. Once it is determined that each constraint set satisfies the corresponding conditions or is valid, all or part of the energy storage model can be constructed based on the first flow rate information, the first initial temperature information, and the first final temperature information, or an energy storage model can be selected from multiple preset models. The determined energy storage model is established under the constraints of multiple constraint sets in the first usage scenario of the heating system, ensuring that the energy storage model meets the required conditions, thereby enabling the energy storage model to accurately reflect information such as the enthalpy of the stored thermal energy in the heating system.

[0079] S300, based on the detection target, acquire the second flow information of the heating branch, as well as the second head temperature information and the second tail temperature information of the heating branch.

[0080] For example, the detection target can be a target set by the user to obtain target energy storage information of the current heating system. For instance, the user selects the collection time based on their actual needs and sets the detection target accordingly. In one embodiment, setting the monitoring target can be a detection target set under a second usage scenario for the heating system, where the second usage scenario can be the same as or similar to the first usage scenario. For example, the second usage scenario can be a usage scenario constructed based on the user's actual needs for target energy storage information, such as a usage scenario at a specific time point under normal operating conditions of the heating system. This ensures that the acquired second flow rate information, as well as the second initial temperature information and the second final temperature information, are all data acquired under a scenario where the heating system is in the same or similar to the first usage scenario.

[0081] The second flow rate information corresponds to the first flow rate information and can be the same type of data, both indicating the same physical information; similarly, the second head temperature information corresponds to the first head temperature information and can be the same type of data, both indicating the same physical information; the second tail temperature information corresponds to the first tail temperature information and can be the same type of data, both indicating the same physical information.

[0082] S400, based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, using the energy storage model, determines the target energy storage information of the heating system, so as to control the heating system based on the target energy storage information, wherein the target energy storage information includes at least: steady-state energy storage information and regulating energy storage information.

[0083] For example, if multiple sets of constraints meet the second requirement, the second flow rate information, the second initial temperature information, and the second final temperature information can be used as inputs to the energy storage model to calculate the corresponding target energy storage information. The target energy storage information includes relevant data on the thermal energy stored by the heating system in the second usage scenario, thereby ensuring that the determined target energy storage information meets the user's actual usage needs.

[0084] In one embodiment, the second flow rate information includes real-time flow rate information collected by the heating branch under stable conditions and flow rate information under dynamically changing conditions. The second initial temperature information includes real-time initial temperature information collected by the heating branch under stable conditions and initial temperature information collected under dynamically changing conditions. The second final temperature information includes real-time final temperature information collected by the heating branch under stable conditions and final temperature information collected under adjustable dynamically changing conditions.

[0085] The target energy storage information includes at least steady-state energy storage information and regulating energy storage information. Steady-state energy storage information is the energy storage information of the heating system under stable operating conditions, while regulating energy storage information is the energy storage information of the heating system under dynamic and fluctuating operating conditions.

[0086] In one embodiment, steady-state energy storage information in the target energy storage information can be determined based on the second flow rate information, the second initial temperature information, and the second final temperature information collected in real time by the heating branch under a stable state. In another embodiment, regulating energy storage information in the target energy storage information can be determined based on the second flow rate information, the second initial temperature information, and the second final temperature information collected by the heating branch under a dynamic changing state, using an energy storage model.

[0087] Once the target energy storage information is determined, it can be used flexibly. Based on this information, the thermal energy stored in the heating system can be clearly identified, allowing for accurate control and utilization of the system. This meets the diverse needs of users.

[0088] In one embodiment of this application, when it is determined that all preset sets of constraint conditions meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head temperature information, and the first tail temperature information, such as... Figure 2 As shown, it includes the following steps:

[0089] S210, determine whether the set of safety constraint conditions used to characterize the safety of equipment in the heating system meets the first requirement, wherein the set of safety constraint conditions includes: a first safety constraint condition constraining the capacity safety of heat exchange equipment in the heating system, and a second safety constraint condition constraining the operational safety of heat exchange equipment and pipelines in the heating system.

[0090] For example, safety constraints can constrain the safety of a heating system in its operating state, ensuring that a defined energy storage model meets the actual safety requirements of the heating system. A set of safety constraints includes multiple safety constraints. In one embodiment, the set of safety constraints includes a first safety constraint and a second safety constraint. The first safety constraint constrains the capacity safety of heat exchange equipment in the heating system, ensuring that parameters related to the capacity of the heat exchange equipment meet safety requirements. Parameters related to the capacity of the heat exchange equipment include power information of the heat source heat exchanger and power information of the load heat exchanger.

[0091] The second safety constraint is used to constrain the operational safety of heat exchange equipment and pipelines in the heating system, thereby ensuring that the temperature, pressure, flow rate and other parameters of the heat exchange equipment and pipelines meet safety requirements during operation.

[0092] S220, if it is determined that the set of safety constraints meets the first requirement, the energy storage model is determined based on the first flow rate information, the first head temperature information and the first tail temperature information.

[0093] For example, the energy storage model can be constructed when the safety of the heating system is guaranteed, provided that each safety constraint in the safety constraint group meets the first requirement, so that the constructed energy storage model is applicable to the heating system operating under safe conditions.

[0094] In one embodiment of this application, such as Figure 3 and Figure 4 As shown, determining whether the set of safety constraints used to characterize the equipment safety in the heating system meets the first requirement includes determining whether the first safety constraint meets the first requirement, including:

[0095] S211, determine the first maximum heat exchange power and the first minimum heat exchange power of the heat source heat exchanger in the heating system;

[0096] S212, based on the first maximum heat exchange power and the first minimum heat exchange power, determine the first heat exchange power range of the heat source heat exchanger;

[0097] S213, determine whether the first heat exchange power of the heat source heat exchanger belongs to the first heat exchange power range.

[0098] For example, the heat exchange device includes a heat source heat exchanger and a load heat exchanger. The heat source heat exchanger has a first heat exchange power range, which is between a first maximum heat power and a first minimum heat power. The heat exchange power within the first heat exchange power range meets a first safety constraint. Otherwise, the heat exchange power of the heat source heat exchanger can be considered not to meet the first safety constraint.

[0099] In one embodiment, after acquiring the first maximum heat power and the first minimum heat power of the heat source heat exchanger using a data acquisition device, the range of heat exchange power that is greater than or equal to the first minimum heat power and less than or equal to the first maximum heat power can be defined as the first heat exchange power range. Then, it can be determined whether the first heat exchange power of the heat source heat exchanger falls within the first heat exchange power range; if so, it can be confirmed that the first heat exchange power belongs to the first heat exchange power range.

[0100] S214, determine the second maximum heat exchange power and the second minimum heat exchange power of the load heat exchanger in the heating system;

[0101] S215, based on the second maximum heat exchange power and the second minimum heat exchange power, determine the second heat exchange power range of the load heat exchanger;

[0102] S216, determine whether the second heat exchange power of the load heat exchanger falls within the range of the second heat exchange power.

[0103] For example, similarly, the load heat exchanger has a second heat exchange power range, which is between a first maximum heat exchange power and a first minimum heat exchange power. The heat exchange power within the second heat exchange power range meets the first safety constraint. Otherwise, the heat exchange power of the load heat exchanger can be considered not to meet the first safety constraint.

[0104] In one embodiment, after acquiring the second maximum heat exchange power and the second minimum heat exchange power of the load heat exchanger through a data acquisition device, the range of heat exchange power that is greater than or equal to the second minimum heat exchange power and less than or equal to the second maximum heat exchange power can be defined as the second heat exchange power range. Then, it can be determined whether the second heat exchange power of the heat source heat exchanger falls within the second heat exchange power range; if so, it can be confirmed that the second heat exchange power belongs to the second heat exchange power range.

[0105] For example, the first safety constraint can be expressed based on the capacity constraint equations of the heat exchanger, as shown below:

[0106]

[0107]

[0108] in, and These are the first maximum heat exchange power and the first minimum heat exchange power of the heat source heat exchanger, respectively. and These are the second maximum heat exchange power and the second minimum heat exchange power of the heat exchanger, respectively, Φ hs Φ represents the first heat exchange power of the heat source heat exchanger; hl This represents the second heat exchange power of the load heat exchanger.

[0109] In one embodiment of this application, determining whether the set of safety constraints characterizing the equipment safety in the heating system meets the first requirement includes determining whether the second safety constraint meets the first requirement, including:

[0110] Acquire temperature and pressure information from multiple parts of the heat source heat exchanger in the heating system;

[0111] Obtain temperature and pressure information from multiple locations of the load heat exchanger in the heating system;

[0112] Flow information of multiple parts of the heat source heat exchanger and the load heat exchanger is obtained respectively;

[0113] Determine whether the correlation between the temperature information, the pressure information, and the flow rate information meets the first requirement.

[0114] For example, multiple parts of a heat source heat exchanger and a load heat exchanger include their inlet and outlet locations. The temperature, pressure, and flow rate at the inlet and outlet of the heat source heat exchanger need to be maintained within a reasonable range; for example, the temperature at the inlet and outlet needs to be below the corresponding lower limit, the pressure needs to be below the corresponding lower limit, and the flow rate needs to be below the corresponding lower limit. Similarly, the temperature, pressure, and flow rate at the inlet and outlet of the load heat exchanger also need to be maintained within a reasonable range; for example, the temperature at the inlet and outlet needs to be below the corresponding lower limit, the pressure needs to be below the corresponding lower limit, and the flow rate needs to be below the corresponding lower limit.

[0115] The following example illustrates that the second safety constraint condition for the operational safety of heat exchange equipment and pipelines in a heating system can be expressed by a set of operational safety constraint equations, as shown below:

[0116]

[0117]

[0118]

[0119] in, and These are the upper temperature limits at the inlet and outlet of the heat source heat exchanger, respectively. and These are the upper temperature limits for the inlet and outlet of the load heat exchanger, respectively. and These are the upper temperature limits for the pipe inlet and outlet, respectively. and These are the upper pressure limits at the inlet and outlet of the heat source heat exchanger, respectively. and These are the upper pressure limits at the inlet and outlet of the load heat exchanger, respectively. and These are the upper pressure limits for the pipeline inlet and outlet, respectively. This is the upper limit of the flow rate of the heat source heat exchanger. This represents the upper limit of the flow rate of the load heat exchanger. This represents the upper limit of the pipe's flow rate. and These are the lower temperature limits at the inlet and outlet of the heat exchanger, respectively. and These are the lower temperature limits at the inlet and outlet of the load heat exchanger, respectively. and These are the lower temperature limits at the inlet and outlet of the pipe heat exchanger, respectively. and These are the lower pressure limits at the inlet and outlet of the heat exchanger, respectively. and These are the lower pressure limits at the inlet and outlet of the load heat exchanger, respectively. and These are the lower pressure limits at the pipeline inlet and outlet, respectively. m hs This is the lower limit of the flow rate for the heat source heat exchanger. m hl This is the lower limit of the flow rate for the heat source heat exchanger. m pi This is the lower limit of the pipeline's flow rate; and These are the inlet and outlet temperatures of the heat source heat exchanger, respectively. and These are the inlet and outlet temperatures of the load heat exchanger, respectively. and These are the temperatures at the pipe inlet and outlet, respectively. and These are the pressures at the inlet and outlet of the heat source heat exchanger, respectively. and These are the real-time pressures at the inlet and outlet of the load heat exchanger, respectively. and These are the real-time pressures at the pipeline inlet and outlet, respectively, in meters. hs The flow rate of the heat source heat exchanger is m. hlThe flow rate of the load heat exchanger is m pi This represents the flow rate of the pipeline.

[0120] In one embodiment of this application, when it is determined that all preset sets of constraint conditions meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head temperature information, and the first tail temperature information, such as... Figure 5 As shown, it includes:

[0121] S230, determine a set of structural constraints for characterizing the system structure of the heating system, wherein the set of structural constraints includes at least one of the following: a first structural constraint for branch pressure loss in the heating branch, a second structural constraint for the initial and final temperatures of the heat source and / or heat load in the heating branch, a third structural constraint for the flow continuity of nodes in the heating branch, a fourth structural constraint for temperature mixing at nodes in the heating branch, and a fifth structural constraint for the decrease in branch temperature in the heating branch;

[0122] S240, if the structural constraint condition set meets the first requirement, determine the energy storage model based on the first flow rate information, the first head temperature information and the first tail temperature information.

[0123] For example, the structural constraint set is a set of conditions that constrain the system structure of the heating system. This system structure may include pressure loss information of the heating branch, initial and final temperature information of the heat source and / or heat load, flow continuity information of nodes in the heating branch, and temperature mixing information of nodes in the heating branch. If the above information in the structural constraint set meets the first requirement, an energy storage model can be constructed based on the first flow information, the first initial temperature information, and the first final temperature information.

[0124] The following describes, with reference to specific embodiments, the determination of the set of structural constraints used to characterize the system structure of the heating system, including the following steps:

[0125] First, based on the first structural constraint condition set for the branch pressure loss in the heating branch, the pressure loss equation of the heating branch is constructed:

[0126] First, establish a node-branch association matrix A.

[0127] The node-branch association matrix A represents the topological relationship between nodes and branches in the network. Matrix A consists of three elements: 0, 1, and -1. The elements in A are defined as follows:

[0128]

[0129] Where i is any node in the heating network, and j is any branch of the heating network;

[0130] Secondly, construct a positive node-branch association matrix A. f :

[0131] Positive node-branch correlation matrix A f Indicate the relationship between the starting node and the branch of each branch, A f ={A│A ij >0},A f The element is defined as follows:

[0132]

[0133] Next, construct a negative node-branch association matrix A. t :

[0134] Negative node-branch correlation matrix A t Indicate the relationship between the terminal node of each branch and the branch, A t ={-A|A ij <0},A t The element is defined as follows:

[0135]

[0136] Furthermore, the pressure loss equation for a heating branch represents the pressure difference between the two nodes of a heating branch. The matrix form of the pressure loss equation for a heating branch is as follows:

[0137] A T H = ΔH - H p

[0138] Where H is a column vector composed of the pressures at each node of the heating network, and A T H is the transpose of the node-branch incidence matrix A in (3-2-1-1). p This is a column vector composed of the head of the pumps in the heating branch. a, b, and c are pump parameters obtained from the pump's product nameplate. m p Let ΔH be the flow rate of the heating branch where the pump is located, and let ΔH be the column vector of pressure losses of each heating branch in the heating network. The pressure loss ΔH of the heating branch is calculated by the following formula:

[0139] ΔH=K·m i ·|m i |

[0140] Where K is the friction coefficient of the branch circuit in the heating network, and its value ranges from 10 to 500 Pa / (kg / s). 2 m i For any branch of the heating network;

[0141] Second, based on the second structural constraint condition set for the first and last temperatures of the heat source and / or heat load in the heating branch, the heat source heat power equation and the heat load heat power equation are constructed:

[0142] The heat power equation represents the temperature relationship between the beginning and end of a heat source or heat load, and is expressed in the following form:

[0143]

[0144]

[0145] Third, a third structural constraint is set for the flow continuity of nodes in the heating branch. Flow continuity constraints are established for all nodes in the heating system, and are expressed in the following matrix form:

[0146] AM=0

[0147] Where M is a column vector representing the flow rate of each heating branch in the heating system, expressed as:

[0148]

[0149] Among them, M pi M represents the subvector consisting of the flow rates in the pipeline. hs M represents the sub-vector consisting of the flow rates of the heat source branches. hl This represents a subvector representing the flow of the load branch;

[0150] Fourth, a fourth structural constraint condition is set for temperature mixing at nodes in the heating branch, establishing temperature mixing constraints for all nodes in the heating system:

[0151] (∑m out )T n =∑(m in T b )

[0152] Where, m out The branch flow rate of the heating medium at the outlet node is m. in T is the branch flow rate of the heating medium flowing into the node. n T represents the temperature of the heating medium after mixing at the node. b The temperature of the heating medium from different branches before they are mixed at the node;

[0153] Using different heating branch end temperatures T out,i The temperature T of the heating medium before mixing at the node, replacing the branch heating medium b The nodal temperature hybrid constraint is then expressed in the following matrix form:

[0154] diag(Af M)T n =A t diag(M)T out,i

[0155] Among them, A f A t These are the positive node-branch incidence matrix from step (3-2-1-2) and the negative node-branch incidence matrix from step (3-2-1-3), respectively, where diag(·) represents a diagonal matrix;

[0156] Fifth, a fifth structural constraint condition is set for the branch temperature drop of the heating branch. Branch temperature drop constraints are established for all ordinary heating branches in the heating system. The matrix form of the branch temperature drop constraints is as follows:

[0157]

[0158] Among them, T a The ambient temperature.

[0159] In one embodiment of this application, when it is determined that all preset sets of constraint conditions meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head temperature information, and the first tail temperature information, such as... Figure 6 As shown, it includes:

[0160] S250, determine a set of boundary constraint conditions for characterizing the heating demand of the heating system, wherein the set of boundary constraint conditions includes at least one of the following: a first boundary constraint condition set for the heat load power in the heating branch, and a second boundary constraint condition set for the temperature deviation controlled by the controller of the load heat exchanger in the heating branch.

[0161] S260, if the boundary constraint condition set satisfies the first requirement, the energy storage model is constructed based on the first flow rate information, the first head temperature information, and the first tail temperature information.

[0162] For example, when a heating system is in normal operating condition, it needs to meet certain heating demands. To address this, a set of boundary constraints needs to be constructed to constrain the heating demand, which can be represented by a set of boundary constraint equations. The boundary constraint set includes a first boundary constraint and a second boundary constraint, and then it is determined whether the first and second boundary constraints satisfy the first requirement.

[0163] The first boundary constraint is set for the heat load power in the heating branch, which requires ensuring that the heat load power is within a certain adjustment range; otherwise, the first requirement can be considered satisfied. The second boundary constraint is set for the temperature deviation controlled by the controller of the load heat exchanger in the heating branch, which requires ensuring that the temperature deviation controlled by the controller of the load heat exchanger does not exceed a certain deviation range; otherwise, the first requirement can be considered satisfied.

[0164] If the first requirement is met by the set of boundary constraints, an energy storage model is constructed based on the first flow rate information, the first head-end temperature information, and the first tail-end temperature information. Preferably, the energy storage model can be constructed based on the first flow rate information, the first head-end temperature information, and the first tail-end temperature information if all the first requirements are met by the set of constraints.

[0165] Furthermore, in one embodiment of this application, the step of determining the target energy storage information of the heating system using the energy storage model is based at least on the second flow rate information, the second initial temperature information, and the second final temperature information. Figure 7 As shown, it includes:

[0166] S410, based on the second flow rate information, the second initial temperature information and the second final temperature information, the energy storage model is used to determine the upper and lower bound information of the thermal energy storage of the heating system during the heating process;

[0167] S420, Based on the upper and lower bound information of the thermal energy storage, determine the upper and lower bounds of the thermal energy storage;

[0168] S430, Based on the upward and downward adjustment margins of the thermal energy storage, determine the adjusted energy storage information.

[0169] For example, the energy storage model includes a series of formulas as described below. When using the energy storage model, the corresponding calculations can be performed using these formulas. In this embodiment, the second flow rate information, the second initial temperature information, and the second final temperature information can be used as inputs to the energy storage model. Based on the energy storage model, the upper and lower bounds of the thermal energy storage in the heating system are calculated. The upper and lower bounds of the thermal energy storage characterize the energy range of the stored thermal energy. This can be expressed by the following formulas in the energy storage model:

[0170]

[0171]

[0172] Where N pi The total number of pipes in the heating network is [number]. HSOC (t) represents the lower bound information of the thermal energy storage HSOC. This provides information on the upper bound of the thermal energy storage HSOC.

[0173] The optimization problem in the above equation can be solved using the interior-point method, yielding the following result. and HSOC (t) can be further used to obtain the up-adjustment margin and down-adjustment margin of the thermal energy storage HSOC at any time, where the up-adjustment margin of the thermal energy storage is:

[0174]

[0175] The downside margin for thermal energy storage is:

[0176] HSOC dw (t)=HSOC(t)- HSOC (t)

[0177] In one embodiment of this application, the target energy storage information of the heating system is determined using the energy storage model based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, such as... Figure 8 As shown, it includes:

[0178] S440, when the heating system is in steady-state operation, determine the temperature correlation information between the second initial temperature information and the second final temperature information;

[0179] S450, based on the second flow rate information and the temperature correlation information, the steady-state energy storage information is determined using the energy storage model.

[0180] For example, when the heating system is operating in a steady state, it can collect second flow information, second initial temperature information, and second final temperature information in real time, thereby determining the temperature correlation information between the second initial temperature information and the second final temperature information.

[0181] The second flow rate information, the second initial temperature information, and the second final temperature information can be used as inputs to the energy storage model, thereby obtaining steady-state energy storage information through the energy storage model.

[0182] For example, real-time operational data measured at time t from a heating system can be obtained, including the second flow information of the heating branch between any two nodes in the heating network (including multiple heating branches), i.e., the flow measurement value. The second starting point temperature information of the heating branch between the two nodes, i.e., the measured value of the starting point temperature. Second terminal temperature information, i.e., terminal temperature measurement value

[0183] When the heating system is operating in steady state, the temperature at any point within the pipe of a heating branch can be expressed as a function of the temperature at any end of the pipe. Combining the temperature correlation information between the second beginning temperature and the second end temperature of the pipe, the steady-state energy storage information HSOC can be estimated using the following formula in the energy storage model:

[0184]

[0185] Where Cp is the specific heat capacity at constant pressure, is a constant, ρ is the density of hot water, and S i Let λ be the cross-sectional area of ​​the heating branch pipe, a known quantity that can be obtained from the relevant datasheet; and let λ be the heat dissipation coefficient of a typical heating branch in the heating system, also a known quantity that can be obtained from the relevant datasheet. Thus, the steady-state energy storage information HSOC can be obtained.

[0186] Based on the same inventive concept, embodiments of this application also provide a heating system, such as... Figure 9 As shown, it includes:

[0187] The first acquisition module is configured to acquire, based on the construction target, first flow information of at least one heating branch in the heating system, as well as first head temperature information and first tail temperature information of the heating branch.

[0188] For example, in a heating system, such as a district heating system, the speed of heat transfer is limited by the flow rate, which gives the heat transfer a large time delay characteristic, thus enabling the heating system to store heat energy.

[0189] The heat transmission channels in a heating system may include one or more heating branches, each with corresponding flow and temperature information.

[0190] In this embodiment, the construction target can be set according to the actual first use scenario. For example, the construction target can be to collect relevant information of the heating branch when the heating system is in a specific working state, such as the normal working state.

[0191] Furthermore, this embodiment can collect the first flow rate information of the heating branch, as well as the first head temperature information and the first tail temperature information of the heating system, when the heating system is in normal operating condition. The first flow rate information, the first head temperature information, and the first tail temperature information can represent the parameter information of the heating system under normal operating conditions. Specifically, the first flow rate information describes the heat transfer and flow in the heating branch, the first head temperature information is the temperature information at the head of the heating branch, and the first tail temperature information is the temperature information at the tail of the heating branch. For the specific data collection method of the first acquisition module, appropriate types of sensing devices can be used for data collection.

[0192] In one embodiment, when determining the energy storage model, all or part of the energy storage model can be constructed using first flow rate information, first initial temperature information, and first final temperature information collected when the heating branch is in a dynamically changing state. In another embodiment, when determining the energy storage model, all or part of the energy storage model can be constructed using first flow rate information, first initial temperature information, and first final temperature information collected in real time when the heating branch is in a stable state.

[0193] The determination module is configured to determine the energy storage model of the heating system based at least on the first flow rate information, the first head temperature information, and the first tail temperature information, when multiple preset constraint condition groups are determined to meet the first requirement. The energy storage model represents the system energy storage information of the heating system under the first usage scenario.

[0194] For example, the system energy storage information represented by the energy storage model is the information related to the stored thermal energy of the heating system under the first usage scenario, such as normal operation. Of course, this first usage scenario can also be other usage scenarios of the heating system that meet actual usage needs.

[0195] In the process of determining the energy storage model, the determination module needs to set multiple constraint condition groups to constrain the energy storage model. When all constraint condition groups meet the first requirement, the determination module can determine the energy storage model based on the first flow rate information, the first head temperature information, and the first tail temperature information.

[0196] Furthermore, in this embodiment, the determining module needs to calculate multiple sets of constraint conditions to determine whether each set of constraint conditions meets the corresponding conditions or is valid, i.e., whether the first requirement is met. Once it is determined that each set of constraint conditions meets the corresponding conditions or is valid, all or part of the energy storage model can be constructed based on the first flow rate information, the first initial temperature information, and the first final temperature information, or an energy storage model can be selected from multiple preset models. The energy storage model determined by the determining module is established under the constraints of multiple sets of constraint conditions in the first usage scenario of the heating system, ensuring that the energy storage model meets the required conditions, thereby enabling the energy storage model to accurately reflect information such as the enthalpy of the stored thermal energy in the heating system.

[0197] The second acquisition module is configured to acquire, based on the detection target, the second flow rate information of the heating branch, as well as the second head temperature information and the second tail temperature information of the heating branch.

[0198] For example, the detection target can be a target set by the user to obtain target energy storage information of the current heating system. For instance, the user selects the collection time based on their actual needs and sets the detection target accordingly. In one embodiment, setting the detection target can be a detection target set under the same second usage scenario as the first usage scenario. For example, the second usage scenario can be a usage scenario constructed based on the user's actual needs for target energy storage information, such as a usage scenario at a specific time point under normal operating conditions of the heating system. This ensures that the second flow rate information, the second initial temperature information, and the second final temperature information obtained by the second acquisition module are all data obtained under the same or similar scenario as the first usage scenario.

[0199] The second flow rate information corresponds to the first flow rate information and can be the same type of data, both indicating the same physical information; similarly, the second head temperature information corresponds to the first head temperature information and can be the same type of data, both indicating the same physical information; the second tail temperature information corresponds to the first tail temperature information and can be the same type of data, both indicating the same physical information.

[0200] The processing module is configured to determine the target energy storage information of the heating system based on at least the second flow rate information, the second initial temperature information, and the second final temperature information, using the energy storage model, so as to control the heating system based on the target energy storage information, wherein the target energy storage information includes at least: steady-state energy storage information and regulating energy storage information.

[0201] For example, when multiple sets of constraints meet the second requirement, the processing module can use the second flow rate information, the second initial temperature information, and the second final temperature information as inputs to the energy storage model, thereby using the energy storage model to calculate the corresponding target energy storage information. The target energy storage information includes relevant data on the thermal energy stored by the heating system in the second usage scenario, thus ensuring that the target energy storage information determined by the processing module meets the user's actual usage needs.

[0202] In one embodiment, the second flow rate information includes real-time flow rate information collected by the heating branch under stable conditions and flow rate information under dynamically changing conditions. The second initial temperature information includes real-time initial temperature information collected by the heating branch under stable conditions and initial temperature information collected under dynamically changing conditions. The second final temperature information includes real-time final temperature information collected by the heating branch under stable conditions and final temperature information collected under adjustable dynamically changing conditions.

[0203] The target energy storage information includes at least steady-state energy storage information and regulating energy storage information. Steady-state energy storage information is the energy storage information of the heating system under stable operating conditions, while regulating energy storage information is the energy storage information of the heating system under dynamic and fluctuating operating conditions.

[0204] In one embodiment, the processing module can determine the steady-state energy storage information in the target energy storage information based on the second flow rate information, the second initial temperature information, and the second final temperature information collected in real time by the heating branch under a stable state; in another embodiment, the processing module can determine the regulating energy storage information in the target energy storage information based on the second flow rate information, the second initial temperature information, and the second final temperature information collected by the heating branch under a dynamic changing state, using an energy storage model.

[0205] Once the target energy storage information is determined, it can be used flexibly. Based on this information, the thermal energy stored in the heating system can be clearly identified, allowing for accurate control and utilization of the system. This meets the diverse needs of users.

[0206] In one embodiment of this application, the determining module is further configured as follows:

[0207] Determine whether a set of safety constraint conditions used to characterize the safety of equipment in the heating system meets a first requirement, wherein the set of safety constraint conditions includes: a first safety constraint condition constraining the capacity safety of heat exchange equipment in the heating system, and a second safety constraint condition constraining the operational safety of heat exchange equipment and pipelines in the heating system.

[0208] If the set of safety constraints is determined to meet the first requirement, the energy storage model is determined based on the first flow rate information, the first head temperature information, and the first tail temperature information.

[0209] In one embodiment of this application, the determining module is further configured to determine whether the first security constraint condition satisfies the first requirement, including:

[0210] Determine the first maximum heat exchange power and the first minimum heat exchange power of the heat source heat exchanger in the heating system;

[0211] Based on the first maximum heat exchange power and the first minimum heat exchange power, the first heat exchange power range of the heat source heat exchanger is determined;

[0212] Determine whether the first heat exchange power of the heat source heat exchanger falls within the first heat exchange power range;

[0213] Determine the second maximum heat exchange power and the second minimum heat exchange power of the load heat exchanger in the heating system;

[0214] Based on the second maximum heat exchange power and the second minimum heat exchange power, the second heat exchange power range of the load heat exchanger is determined;

[0215] Determine whether the second heat exchange power of the load heat exchanger falls within the range of the second heat exchange power.

[0216] In one embodiment of this application, the determining module is further configured to determine whether the second security constraint condition satisfies the first requirement, including:

[0217] Acquire temperature and pressure information from multiple parts of the heat source heat exchanger in the heating system;

[0218] Obtain temperature and pressure information from multiple locations of the load heat exchanger in the heating system;

[0219] Flow information of multiple parts of the heat source heat exchanger and the load heat exchanger is obtained respectively;

[0220] Determine whether the correlation between the temperature information, the pressure information, and the flow rate information meets the first requirement.

[0221] In one embodiment of this application, the determining module is further configured as follows:

[0222] A set of structural constraints is determined to characterize the system structure of the heating system, wherein the set of structural constraints includes at least one of the following: a first structural constraint for branch pressure loss in the heating branch; a second structural constraint for the initial and final temperatures of the heat source and / or heat load in the heating branch; a third structural constraint for the flow continuity of nodes in the heating branch; a fourth structural constraint for temperature mixing at nodes in the heating branch; and a fifth structural constraint for the decrease in branch temperature in the heating branch.

[0223] If the set of structural constraints meets the first requirement, the energy storage model is determined based on the first flow rate information, the first head temperature information, and the first tail temperature information.

[0224] In one embodiment of this application, the determining module is further configured as follows:

[0225] A set of boundary constraints is determined to characterize the heating demand of the heating system, wherein the set of boundary constraints includes at least one of the following: a first boundary constraint set for the heat load power in the heating branch, and a second boundary constraint set for the temperature deviation controlled by the controller of the load heat exchanger in the heating branch.

[0226] If the boundary constraint condition set satisfies the first requirement, the energy storage model is constructed based on the first flow rate information, the first head temperature information, and the first tail temperature information.

[0227] In one embodiment of this application, the processing module is further configured as follows:

[0228] Based on the second flow rate information, the second initial temperature information, and the second final temperature information, the upper and lower bounds of the thermal energy storage of the heating system during the heating process are determined using the energy storage model.

[0229] Based on the upper and lower bound information of the thermal energy storage, the up-adjustment margin and down-adjustment margin of the thermal energy storage are determined.

[0230] The adjusted energy storage information is determined based on the upward and downward adjustment margins of the thermal energy storage.

[0231] In one embodiment of this application, the processing module is further configured as follows:

[0232] Under the condition that the heating system is in steady-state operation, the temperature correlation information between the second initial temperature information and the second final temperature information is determined;

[0233] Based on the second flow rate information and the temperature correlation information, the steady-state energy storage information is determined using the energy storage model.

[0234] Based on the same inventive concept, this application also provides another heating system, such as... Figure 10 As shown, it includes a processor and a memory, the memory storing an executable program, and the processor processing the executable program to perform the following steps:

[0235] Based on the construction objective, the first flow information of at least one heating branch in the heating system, as well as the first head temperature information and the first tail temperature information of the heating branch are obtained.

[0236] If it is determined that all preset sets of constraints meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head temperature information and the first tail temperature information, wherein the energy storage model represents the system energy storage information of the heating system under the first usage scenario.

[0237] Based on the detection target, the second flow information of the heating branch, as well as the second head temperature information and the second tail temperature information of the heating branch are obtained.

[0238] Based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, the target energy storage information of the heating system is determined using the energy storage model, so as to control the heating system based on the target energy storage information, wherein the target energy storage information includes at least: steady-state energy storage information and regulating energy storage information.

[0239] The above embodiments are merely exemplary embodiments of this application and are not intended to limit this application. The scope of protection of this application is defined by the claims. Those skilled in the art can make various modifications or equivalent substitutions to this application within its substance and scope of protection, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of this application.

Claims

1. A method for processing thermal energy data of a heating system, characterized in that, include: Based on the construction objective, the first flow information of at least one heating branch in the heating system, as well as the first head temperature information and the first tail temperature information of the heating branch are obtained. If it is determined that all preset sets of constraints meet the first requirement, the energy storage model of the heating system is determined based at least on the first flow rate information, the first head temperature information and the first tail temperature information, wherein the energy storage model represents the system energy storage information of the heating system under the first usage scenario. Based on the detection target, the second flow information of the heating branch, as well as the second head temperature information and the second tail temperature information of the heating branch are obtained. Based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, the energy storage model is used to determine the target energy storage information of the heating system, so as to control the heating system based on the target energy storage information. The target energy storage information includes at least: steady-state energy storage information and regulating energy storage information. The step of determining the energy storage model of the heating system, based at least on the first flow rate information, the first head-end temperature information, and the first tail-end temperature information, when all preset sets of constraint conditions meet the first requirement, includes: Determine whether a set of safety constraint conditions used to characterize the safety of equipment in the heating system meets a first requirement, wherein the set of safety constraint conditions includes: a first safety constraint condition constraining the capacity safety of heat exchange equipment in the heating system, and a second safety constraint condition constraining the operational safety of heat exchange equipment and pipelines in the heating system. If the set of safety constraints is determined to meet the first requirement, the energy storage model is determined based on the first flow rate information, the first head temperature information, and the first tail temperature information. Determining whether the set of safety constraints used to characterize the equipment safety in the heating system meets the first requirement includes determining whether the first safety constraint meets the first requirement, including: Determine the first maximum heat exchange power and the first minimum heat exchange power of the heat source heat exchanger in the heating system; Based on the first maximum heat exchange power and the first minimum heat exchange power, the first heat exchange power range of the heat source heat exchanger is determined; Determine whether the first heat exchange power of the heat source heat exchanger falls within the first heat exchange power range; Determine the second maximum heat exchange power and the second minimum heat exchange power of the load heat exchanger in the heating system; Based on the second maximum heat exchange power and the second minimum heat exchange power, the second heat exchange power range of the load heat exchanger is determined; Determine whether the second heat exchange power of the load heat exchanger falls within the range of the second heat exchange power; The step of determining whether the set of safety constraints used to characterize the equipment safety in the heating system meets the first requirement includes determining whether the second safety constraint meets the first requirement, including: Acquire temperature and pressure information from multiple parts of the heat source heat exchanger in the heating system; Obtain temperature and pressure information from multiple locations of the load heat exchanger in the heating system; Flow information of multiple parts of the heat source heat exchanger and the load heat exchanger is obtained respectively; Determine whether the correlation between the temperature information, the pressure information, and the flow rate information meets the first requirement.

2. The method according to claim 1, characterized in that, The step of determining the energy storage model of the heating system, based at least on the first flow rate information, the first head-end temperature information, and the first tail-end temperature information, when all preset sets of constraint conditions meet the first requirement, includes: A set of structural constraints is determined to characterize the system structure of the heating system, wherein the set of structural constraints includes at least one of the following: a first structural constraint for branch pressure loss in the heating branch; a second structural constraint for the initial and final temperatures of the heat source and / or heat load in the heating branch; a third structural constraint for the flow continuity of nodes in the heating branch; a fourth structural constraint for temperature mixing at nodes in the heating branch; and a fifth structural constraint for the decrease in branch temperature in the heating branch. If the set of structural constraints meets the first requirement, the energy storage model is determined based on the first flow rate information, the first head temperature information, and the first tail temperature information.

3. The method according to claim 1, characterized in that, The step of determining the energy storage model of the heating system, based at least on the first flow rate information, the first head-end temperature information, and the first tail-end temperature information, when all preset sets of constraint conditions meet the first requirement, includes: A set of boundary constraints is determined to characterize the heating demand of the heating system, wherein the set of boundary constraints includes at least one of the following: a first boundary constraint set for the heat load power in the heating branch, and a second boundary constraint set for the temperature deviation controlled by the controller of the load heat exchanger in the heating branch. If the boundary constraint condition set satisfies the first requirement, the energy storage model is constructed based on the first flow rate information, the first head temperature information, and the first tail temperature information.

4. The method according to claim 1, characterized in that, The determination of the target energy storage information of the heating system using the energy storage model, based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, includes: Based on the second flow rate information, the second initial temperature information, and the second final temperature information, the upper and lower bounds of the thermal energy storage of the heating system during the heating process are determined using the energy storage model. Based on the upper and lower bound information of the thermal energy storage, the up-adjustment margin and down-adjustment margin of the thermal energy storage are determined. The adjusted energy storage information is determined based on the upward and downward adjustment margins of the thermal energy storage.

5. The method according to claim 1, characterized in that, The determination of the target energy storage information of the heating system using the energy storage model, based at least on the second flow rate information, the second initial temperature information, and the second final temperature information, includes: Under the condition that the heating system is in steady-state operation, the temperature correlation information between the second initial temperature information and the second final temperature information is determined; Based on the second flow rate information and the temperature correlation information, the steady-state energy storage information is determined using the energy storage model.

6. A heating system, characterized in that, include: The first acquisition module is configured to acquire, based on the construction target, first flow information of at least one heating branch in the heating system, as well as first head temperature information and first tail temperature information of the heating branch. The determination module is configured to determine the energy storage model of the heating system based at least on the first flow rate information, the first head temperature information, and the first tail temperature information when multiple preset constraint condition groups meet the first requirement. The energy storage model represents the system energy storage information of the heating system under the first usage scenario. The second acquisition module is configured to acquire, based on the detection target, the second flow information of the heating branch, as well as the second head temperature information and the second tail temperature information of the heating branch. The processing module is configured to determine the target energy storage information of the heating system based on at least the second flow rate information, the second initial temperature information, and the second final temperature information, using the energy storage model, so as to control the heating system based on the target energy storage information. The target energy storage information includes at least: steady-state energy storage information and regulating energy storage information. The determining module is further configured to: determine whether a set of safety constraint conditions characterizing the equipment safety in the heating system meets a first requirement, wherein the set of safety constraint conditions includes: a first safety constraint condition constraining the capacity safety of heat exchange equipment in the heating system, and a second safety constraint condition constraining the operational safety of heat exchange equipment and pipelines in the heating system; if the set of safety constraint conditions is determined to meet the first requirement, the energy storage model is determined based on the first flow rate information, the first initial temperature information, and the first final temperature information; The determining module is further configured to: determine whether the first safety constraint condition meets the first requirement, including: determining the first maximum heat exchange power and the first minimum heat exchange power of the heat source heat exchanger in the heating system; determining the first heat exchange power range of the heat source heat exchanger based on the first maximum heat exchange power and the first minimum heat exchange power; determining whether the first heat exchange power of the heat source heat exchanger belongs to the first heat exchange power range; determining the second maximum heat exchange power and the second minimum heat exchange power of the load heat exchanger in the heating system; and determining the second heat exchange power range of the load heat exchanger based on the second maximum heat exchange power and the second minimum heat exchange power. The determining module is further configured to: determine whether the second safety constraint condition meets the first requirement, including: acquiring temperature and pressure information of multiple parts of the heat source heat exchanger in the heating system; acquiring temperature and pressure information of multiple parts of the load heat exchanger in the heating system; acquiring flow information of multiple parts of the heat source heat exchanger and the load heat exchanger respectively; and determining whether the correlation between the temperature information, the pressure information and the flow information meets the first requirement.

7. A heating system, characterized in that, It includes a processor and a memory, wherein the memory stores an executable program, and the processor processes the executable program to perform the steps of the method as claimed in claim 1.

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