A building energy management regulating method

Abstract

The application discloses a kind of building energy management regulating method, it is related to building energy system operation control technical field, comprising the following steps: S1, cold / heat source system regulating parameter distribution;S2, circulating water system resistance adjustment;S3, terminal equipment load output control;S4, heat recovery path operating state setting: S5, distributed energy storage system heat and electricity adjustment;S6, closed loop verification and feedback correction of building energy regulation process;By setting the circulating water system dynamic resistance adjustment mechanism based on cold and heat source parameter response mapping, by extracting the response mapping relationship between the operating parameters of cold and heat source and the equivalent hydraulic resistance of system, the transmission path and the energy efficiency of equipment are consistent, by setting the terminal heat flux linkage control method based on resistance state correlation factor, the mathematical coupling model between the resistance state of main system and the adjustment of terminal heat flux is established, and the synchronous adaptive response of terminal equipment heat flux output to system transmission state is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building energy system operation control, in particular to a building energy management adjustment method. BACKGROUND

[0002] With the diversified development of building energy systems, cold and heat source equipment, circulating water systems, terminal heat exchange equipment and energy storage units gradually form a complex coupled operation system. In order to improve energy utilization efficiency, peak shaving and system stability, the building energy management system needs to coordinate and adjust various subsystems according to the dynamic changes of cold and heat load during operation.

[0003] 1. In the prior art, the cold and heat source state cannot be mapped to the circulating water system adjustment mechanism, resulting in that the resistance adjustment deviates from the actual operation of the energy equipment, and the system operation has energy path response deviation.

[0004] 2. In the prior art, the terminal heat exchanger adjustment is not dynamically associated with the system resistance state, causing heat flux response delay or disorder, affecting the real-time and stability of load distribution. SUMMARY

[0005] In view of the deficiencies of the prior art, the present application provides a building energy management adjustment method to solve the problems raised in the background art.

[0006] To achieve the above purpose, the present application provides the following technical scheme:

[0007] In the first aspect, the present application provides a building energy management adjustment method, comprising the following steps:

[0008] S1. Distribute cold / heat source system adjustment parameters based on building cold and heat load distribution;

[0009] S2. Adjust the resistance of the circulating water system using the distributed cold / heat source system adjustment parameters;

[0010] S3. Control the output of the terminal equipment according to the resistance adjustment state;

[0011] S4. Set the heat recovery path operation state based on the output control result;

[0012] S5. Adjust the heat and electricity of the distributed energy storage system based on the heat recovery state;

[0013] S6. According to the energy storage adjustment capacity, carry out closed loop verification and feedback correction of the building energy adjustment process

[0014] Further optimization of the technical solution, in step S2, the circulating water system resistance adjustment process, using the circulating water system dynamic resistance adjustment method based on the cold and heat source parameter response mapping, which contains the hydraulic resistance response mapping model, system expected flow distribution function and control valve resistance adjustment function.

[0015] Further optimization of the technical solution, the hydraulic resistance response mapping model formula in step S2 is:

[0016] ;

[0017] Among them, : the equivalent hydraulic resistance coefficient of water system, its unit is kPa·s² / m 6 ;

[0018] : energy-water resistance conversion coupling factor, dimensionless, its value represents the influence proportion of cold and heat source load change on hydraulic resistance change, no specific physical unit;

[0019] : adjustment cycle response factor, unit is minute, used to describe the time scale of water system resistance adjustment, that is, the time required for the system to adjust to stable state;

[0020] : output load per unit time of cold / heat source system, its unit is kW;

[0021] : load interval response tensor, unit is (Pa·s³) / (m³·kJ²), describes the dynamic influence of cold and heat load nonlinear change on circulating water system resistance.

[0022] Further optimization of the technical solution, the system expected flow distribution function formula in step S2 is:

[0023] ;

[0024] Among them, : system expected flow distribution function per unit time, its unit is m³ / h;

[0025] : flow response gain factor, unit is m³ / h·kW -1 .

[0026] Further optimization of the technical solution, the control valve resistance adjustment function in step S2 is:

[0027] ;

[0028] Among them, : control valve resistance adjustment function;

[0029] : represents the reference water resistance coefficient in the design phase or stable operation state;

[0030] : reflects the resistance deviation between the current system and the reference working condition.

[0031] Further optimize the technical solution, the hydraulic resistance response mapping model, the system expected flow distribution function and the control valve resistance adjustment function in step S2 include the following steps when used:

[0032] Based on the cold / heat source load in step S1 cold / heat source system adjustment , calculate the instantaneous load change , and then substitute into the hydraulic resistance response mapping model to calculate the target water resistance coefficient ;

[0033] Using the system expected flow distribution function, based on and periodic characteristics , determine the system target flow , provide reference for variable frequency water pump control;

[0034] Using the control valve resistance adjustment function, input into the control valve adjustment function to generate valve adjustment signal , used for synchronous adjustment of local water resistance in the loop.

[0035] Further optimize the technical solution, in the end device load output regulation process of step S3, the end heat flux linkage regulation method based on the resistance state correlation factor is used for regulation, which includes resistance state correlation factor definition model and end heat flux adjustment model.

[0036] Further optimize the technical solution, the resistance state correlation factor definition model in step S3 is:

[0037] ;

[0038] Among them, the first term is the square resistance ratio factor: reflecting the nonlinear amplification difference between the current system water resistance and the reference state;

[0039] The second term is the resistance sine response term: simulating the periodic response of branch pressure loss fluctuation in the system to the performance of the end system;

[0040] The coefficient and are determined by actual system debugging, and the heat flux feedback sensitivity of the control system to water resistance change.

[0041] Further optimization of the technical solution, the end heat flux adjustment model in step S3 is:

[0042] ;

[0043] Among them, Indicates the actual output of the end heat exchanger per unit time under the current system resistance state;

[0044] Indicates the standard heat flux that the end heat exchanger should output per unit time under the system design working condition, that is, its rated heating or cooling capacity.

[0045] Further optimization of the technical solution, the end heat flux adjustment model in step S3 is:

[0046] Based on step S2, the system current water resistance state is obtained ;

[0047] Substitute the resistance state correlation factor definition model to calculate , obtain the end flux control factor;

[0048] Substitute the end heat flux adjustment model to calculate the actual heat flux output value of each end heat exchanger under the current resistance state , and according to this, control the end execution equipment to dynamically output heat, so as to match the system transmission state linkage;

[0049] The control execution layer controls the end equipment output according to .

[0050] Secondly, the embodiment of the application provides a computer device, which comprises a memory and a processor, and the memory stores a computer program, wherein: the computer program instructions are executed by the processor to realize the steps of the building energy management regulation method according to the first aspect of the application.

[0051] Thirdly, the embodiment of the application provides a computer readable storage medium, which stores a computer program, wherein: the computer program instructions are executed by the processor to realize the steps of the building energy management regulation method according to the first aspect of the application.

[0052] Compared with the prior art, the building energy management regulation method provided by the application belongs to the technical field of machine learning and reinforcement learning, and has the following beneficial effects:

[0053] The building energy management adjustment method sets a circulating water system dynamic resistance adjustment mechanism based on a cold and heat source parameter response mapping, forms a dynamic adjustment model by extracting the response mapping relationship between the cold and heat source operation parameters and the equivalent hydraulic resistance of the system, so that the circulating water system can accurately respond to the operation changes on the cold and heat source side, realize the coordination and consistency between the transmission path and the equipment energy efficiency, and significantly improve the system operation efficiency and response sensitivity; and sets an end heat flux linkage regulation and control method based on a resistance state correlation factor, establishes a mathematical coupling model between the resistance state of the main system and the adjustment of the end heat flux, and realizes the synchronous adaptive response of the end device heat flux output to the system transmission state. BRIEF DESCRIPTION OF DRAWINGS

[0054] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0055] Fig. 1 A structural schematic diagram of a building energy management adjustment method proposed by the present application;

[0056] Fig. 2 A circulating water system resistance adjustment process flowchart of a building energy management adjustment method proposed by the present application;

[0057] Fig. 3 A terminal heat flux linkage regulation and control method flowchart of a building energy management adjustment method proposed by the present application. DETAILED DESCRIPTION

[0058] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification.

[0059] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, but the present application can also be implemented in other ways different from the description, and those skilled in the art can make similar generalizations without departing from the connotation of the present application, therefore the present application is not limited by the specific embodiments disclosed below.

[0060] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. "In one embodiment" appearing in different places in the specification does not mean the same embodiment, nor is the embodiment independent or selectively excluded from other embodiments. EMBODIMENT

[0061] Reference Figs. 1-3 For the first embodiment of the present application, the embodiment provides a building energy management regulation method, comprising the following steps:

[0062] S1, based on the cold and heat load distribution of the building, the cold / heat source system regulation parameters are distributed;

[0063] According to the upper and lower limits of the load interval and the response time delay period, the operating parameters of various host devices (such as water chillers, heat pump systems, and boiler systems) in the cold and heat source system are quantitatively distributed;

[0064] Specifically, it includes:

[0065] According to different time scales (hour level, day level, and month level), the start and stop thresholds of each unit are set to ensure that the system operates in segments according to load fluctuations;

[0066] According to the load distribution of the building area, the load coverage interval of each unit is configured, and a fixed output step is set to prevent overload or redundancy between system output capacity and actual load;

[0067] The complementary operation relationship between the cold and heat source devices is determined, and the working priority and switching critical point of each device under specific load conditions are set;

[0068] The partial load operation characteristic parameters are introduced to control the unit to operate in the high-efficiency interval and avoid long-term low-efficiency operation;

[0069] The goal of this step is to ensure that the operating capacity of the cold and heat source system and the actual building load establish a one-to-one parameter matching relationship, improve the energy efficiency and stability of the system operation, and provide an implementable cold / heat source output basis for subsequent transmission systems and end regulation steps.

[0070] S2, using the distributed cold / heat source system regulation parameters to regulate the resistance of the circulating water system;

[0071] In the step S2, during the circulating water system resistance regulation process, a circulating water system dynamic resistance regulation method based on cold and heat source parameter response mapping is used, which includes a hydraulic resistance response mapping model, a system expected flow distribution function, and a control valve resistance regulation function;

[0072] The formula of the hydraulic resistance response mapping model in the step S2 is:

[0073] ;

[0074] Wherein, : The equivalent hydraulic resistance coefficient of the water system, with the unit of kPa·s² / m 6 ; is the rate of change of the cold and heat load, more suitable for real-time adjustment of the control system;

[0075] is the energy-water resistance conversion coupling factor, dimensionless, whose value represents the proportion of the influence of the load change of the cold and heat source on the change of the hydraulic resistance, without specific physical units;

[0076] is the adjustment period response factor, with the unit of min (minute), used to describe the time scale of the resistance adjustment of the water system, i.e. the time required for the system to adjust to a stable state;

[0077] is the output load per unit time of the cold / heat source system, with the unit of kW;

[0078] is the load interval response tensor, with the unit of (Pa·s³) / (m³·kJ²), describing the dynamic influence of the nonlinear change of the cold and heat load on the resistance of the circulating water system;

[0079] is the instantaneous change amount of the cold and heat load, with the unit of kW / min;

[0080] The system expected flow distribution function formula in the step S2 is:

[0081] ;

[0082] wherein, is the expected flow distribution function per unit time of the system, with the unit of m³ / h;

[0083] is the flow response gain factor, with the unit of m³ / h·kW -1 ;

[0084] The control valve resistance adjustment function in the step S2 is:

[0085] ;

[0086] wherein, is the control valve resistance adjustment function;

[0087] is the reference water resistance coefficient in the design stage or stable operation state;

[0088] reflects the resistance deviation between the current system and the reference working condition;

[0089] The hydraulic resistance response mapping model, the system expected flow distribution function and the control valve resistance adjustment function in the step S2 comprise the following steps when in use:

[0090] Cold / heat source load based on step S1 cold / heat source system adjustment , calculate the instantaneous load change , and then substitute the hydraulic resistance response mapping model to calculate the target water resistance coefficient ;

[0091] Using the system expected flow distribution function, based on And the periodic characteristics , determine the system target flow , provide reference for variable frequency water pump control;

[0092] Using the control valve resistance adjustment function, inputting Control valve adjustment function, generate valve adjustment signal , used to synchronize the adjustment of the local water resistance in the loop.

[0093] 3. According to the resistance adjustment state, the terminal device load output is adjusted and controlled;

[0094] In the terminal device load output adjustment process of step S3, the terminal heat flux linkage control method based on the resistance state correlation factor is used for adjustment, which includes a resistance state correlation factor definition model and a terminal heat flux adjustment model.

[0095] The resistance state correlation factor definition model in step S3 is:

[0096] ;

[0097] Among them, the first term is the square resistance ratio factor: reflecting the nonlinear amplification difference between the current system water resistance and the reference state;

[0098] The second term is the resistance sine response term: simulating the periodic response of the branch pressure loss fluctuation in the system to the terminal system performance;

[0099] The coefficient And Determined by the actual system debugging, the heat flux feedback sensitivity of the control system to the water resistance change;

[0100] The terminal heat flux adjustment model in step S3 is:

[0101] ;

[0102] Among them, Indicates the actual output of the terminal heat exchanger per unit time under the current system resistance state;

[0103] The standard heat flux that the terminal heat exchanger should output per unit time under the system design working condition, i.e. the rated heating or cooling capacity thereof;

[0104] The terminal heat flux linkage regulation method based on the resistance state correlation factor in the step S3 comprises the following steps when in use:

[0105] Based on the step S2, the resistance state correlation factor is obtained , and the current water resistance state of the system is obtained synchronously;

[0106] The resistance state correlation factor definition model is substituted to calculate , and the terminal flux regulation factor is obtained;

[0107] The terminal heat flux regulation model is substituted to calculate the actual heat flux output value of each terminal heat exchanger under the current resistance state , and the terminal execution equipment is controlled to output heat dynamically so as to match the system transmission state linkage;

[0108] The control execution layer controls the terminal equipment (such as a fan coil, a water-air heat exchanger, a floor heating heat exchanger, etc.) to output according to .

[0109] S4, the heat recovery path running state is set based on the output regulation result;

[0110] According to the difference between the terminal equipment return water temperature and the flow, the opening condition and the flow ratio setting of the heat energy recovery path are determined. An intermediate heat exchanger is arranged in the system, and a bypass return regulation module is introduced. Part of the high-temperature return water (from the terminal in the high heat flux interval) is recovered to preheat the heat exchange coil of the low-temperature fresh air system or to increase the starting temperature of the low-load area water supply.

[0111] S5, the heat and electricity regulation of the distributed energy storage system is performed based on the heat recovery state;

[0112] The method comprises a heat and electricity coupling type building energy storage system operation regulation method, and a heat and electricity balance coupling factor is used to describe the heat and electricity switching characteristics of the energy storage system under the current system state:

[0113] ;

[0114] Wherein: is a state regulation coefficient;

[0115] The first term reflects the electrical energy bias of the energy storage system due to the transmission resistance state of the main system;

[0116] The second term reflects the flux deficiency of the heat terminal relative to the design state, which maps the heat demand;

[0117] If Tendency to large, indicating that the system is more biased to use electric energy storage unit for adjustment;

[0118] If Tendency to small, indicating that the system is more biased to thermal energy storage path adjustment;

[0119] Thermal / electric energy storage output power linkage model in adjustment method:

[0120] ,

[0121] ;

[0122] is the maximum power setting of the energy storage module in the corresponding system;

[0123] represents the actual charging or discharging power of the electric energy storage unit under the current system state;

[0124] represents the actual heat absorption or release power of the thermal energy storage unit under the current system state;

[0125] Two models will Map to the division adjustment proportion factor of energy storage unit under the current state of the system, the system can decide according to the current resistance and heat flux demand how much proportion of the adjustment task is undertaken by the battery and how much proportion of the response task is undertaken by the thermal energy storage;

[0126] The adjustment method includes the following steps in use:

[0127] Input S2, S3 stage output value: that is, system resistance state , end heat flux output ;

[0128] Substitute the thermal-electric coupling factor model to calculate , clear the current system energy adjustment bias tendency;

[0129] Substitute the energy storage adjustment output model to calculate , respectively control the battery pack and the heat storage unit to carry out energy adjustment;

[0130] Form a complete adjustment path closed loop of cold and heat source adjustment-resistance coupling-end flux adjustment-energy storage system response;

[0131] If the system load appears structural change, can according to Tendency to re-plan energy supply path, improve energy efficiency stability.

[0132] S6, according to the energy storage adjustment capacity, carry out closed loop verification and feedback correction of building energy regulation process;

[0133] According to the actual discharge cycle and the released energy fluctuation information of the energy storage system in S5, whether the initial parameters of the cold / heat source system match the load model is reversely deduced, and combined with the end device response delay value, return water temperature difference stability time and other indexes, a feedback evaluation is formed, and the operation deviation is determined and quantified according to the feedback evaluation, so as to determine whether to re-adjust the cold / heat source parameters, resistance distribution ratio or end load output value. Embodiments

[0134] The embodiment also provides a computer device suitable for the case of the building energy management regulation method, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions to realize the building energy management regulation method proposed in the above embodiment.

[0135] The embodiment also provides a storage medium having a computer program stored thereon, and the program is executed by a processor to realize the building energy management regulation method proposed in the above embodiment.

[0136] The computer device can be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved through WIFI, operator network, NFC (near field communication) or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device. In addition, the input device can also be an external keyboard, touchpad or mouse, etc.

[0137] If the functions are implemented in software, the functions can be stored in or implemented as one or more instructions or code on a computer-readable medium. Computer-readable media include both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage medium can be any available medium that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, or twisted pair, then the coaxial cable, fiber optic cable, or twisted pair are included in the definition of medium. Disk and disc, as used herein, include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), and Blu-Ray® disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0138] In other words, like a human driver of a vehicle, the autonomous vehicle 100 can be programmed to follow traffic laws and rules of the road, and to make decisions based on its programming and the information it receives from its sensors and other sources. The autonomous vehicle 100 can also be programmed to make decisions based on its programming and the information it receives from its sensors and other sources, even if those decisions are not in accordance with traffic laws and rules of the road. For example, the autonomous vehicle 100 can be programmed to avoid a collision with another vehicle, even if doing so would violate a traffic law or rule of the road.

[0139] In other words, like a human driver of a vehicle, the autonomous vehicle 100 can be programmed to follow traffic laws and rules of the road, and to make decisions based on its programming and the information it receives from its sensors and other sources. The autonomous vehicle 100 can also be programmed to make decisions based on its programming and the information it receives from its sensors and other sources, even if those decisions are not in accordance with traffic laws and rules of the road. For example, the autonomous vehicle 100 can be programmed to avoid a collision with another vehicle, even if doing so would violate a traffic law or rule of the road.

[0140] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the embodiments described above, various steps or methods can be implemented, for example, by software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and in another embodiment, any of the following technology, known in the art, or combinations thereof, can be used: discrete logic circuitry having logic gates for implementing logic functions upon an application of data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.

[0141] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and all of them should be covered in the scope of the claims of the present application.

Claims

1. A building energy management conditioning method, characterized by, The method comprises the following steps: S1, distributing cold / heat source system adjustment parameters based on building cold and heat load distribution; S2, adjusting the resistance of the circulating water system using the distributed cold / heat source system adjustment parameters; The formula of the hydraulic resistance response mapping model is: ； wherein, : equivalent hydraulic resistance coefficient of water system, unit: kPa-s2 / m 6 ; : Energy - water resistance conversion coupling factor, dimensionless, whose value indicates the proportion of the influence of the change of the cold and heat source load on the change of the hydraulic resistance, without specific physical units; : Adjusted Period Response Factor, in minutes, used to describe the time scale of resistance adjustment in the water system, i.e. the time it takes for the system to adjust to steady state; : output load of the cold / heat source system per unit time, unit: kW; : Load interval response tensor, unit (Pa-s3) / (m3-kJ2), describes the dynamic influence of nonlinear changes of cold and heat load on the resistance of circulating water system; S3, regulating the load output of the terminal equipment according to the resistance adjustment state; S4, setting the operation state of the heat recovery path based on the output regulation result; S5, adjusting the heat and electricity of the distributed energy storage system based on the heat recovery state; S6, performing closed-loop verification and feedback correction on the building energy regulation process according to the energy storage adjustment capacity.

2. The building energy management conditioning method of claim 1, wherein, In the step S2, the dynamic resistance adjustment method of the circulating water system based on the cold and heat source parameter response mapping is used in the resistance adjustment process of the circulating water system, which includes a hydraulic resistance response mapping model, a system expected flow distribution function and a control valve resistance adjustment function.

3. The building energy management conditioning method of claim 2, wherein, The formula of the system expected flow distribution function in the step S2 is: ； wherein : expected flow rate distribution function per unit of time of the system, in m3 / h; : flow response gain factor in m3 / h·kW -1 .

4. The building energy management conditioning method of claim 3, wherein, The control valve resistance adjustment function in the step S2 is: ； wherein : control valve resistance regulating function; : represents the reference water resistance coefficient in the design stage or stable operation state; : reflects the amount of resistance deviation between the current system and the reference working condition; : represents the response sensitivity coefficient of the control valve resistance adjustment function to the resistance deviation in the circulating water system, which is obtained by experimental calibration method.

5. The building energy management conditioning method of claim 4, wherein, The hydraulic resistance response mapping model, the system expected flow distribution function and the control valve resistance adjustment function in the step S2 include the following steps when used: Based on step S1, the cold / heat source load in the cold / heat source system regulation is adjusted , the instantaneous load change amount is calculated , and the target water resistance coefficient is calculated by substituting the hydraulic resistance response mapping model ; Using system expected flow distribution function, based on and periodic characteristics , determine system target flow , provide reference for variable frequency water pump control; Using a control valve resistance regulation function, the Input control valve regulation function, generate valve regulation signal For synchronous regulation of local water resistance in the loop.

6. The building energy management conditioning method of claim 5, wherein, In the step S3, the terminal equipment load output regulation process is regulated by the terminal heat flux linkage regulation method based on the resistance state correlation factor, which includes a resistance state correlation factor definition model and a terminal heat flux adjustment model.

7. The building energy management conditioning method of claim 6, wherein, The resistance state correlation factor definition model in the step S3 is: ； The first term is a square resistance ratio factor: reflecting the nonlinear amplification difference between the current system water resistance and the reference state; The second term is a resistance sine response term: simulating the periodic response of the branch pressure loss fluctuation in the system to the performance of the terminal system; coefficient with The heat flux feedback sensitivity of the control system to water resistance changes is determined by the actual system commissioning.

8. The building energy management conditioning method of claim 7, wherein, The terminal heat flux adjustment model in the step S3 is: ； wherein, Qactual represents the actual heat flux outputted by the end heat exchanger per unit time under the current system resistance state; represents the standard heat flux that the terminal heat exchanger should output per unit time under the system design working condition, i.e. its rated heating or cooling capacity.

9. The building energy management conditioning method of claim 8, wherein, The terminal heat flux linkage regulation method based on the resistance state correlation factor in the step S3 includes the following steps when used: Based on step S2, the system current water resistance state is obtained synchronously. , the system current water resistance state is obtained synchronously. Substituting the resistance state correlation factor definition model calculation , to obtain the end flux control factor; The actual heat flux output value of each terminal heat exchanger under the current resistance state is calculated by substituting the terminal heat flux adjustment model and the terminal executing device is controlled to dynamically output heat according to the actual heat flux output value, so as to match the system transmission state. The control execution layer is configured to Control the end device to output.

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