Energy-saving optimization control method and system for building heating system

Abstract

This invention belongs to the field of intelligent control technology, specifically disclosing an energy-saving optimization control method and system for building heating systems. By combining the dual feedback of actual indoor temperature and actual return water temperature at each heating terminal, it constructs heat demand characteristics, reflecting the user's actual heating needs more accurately than simply relying on outdoor temperature compensation. Through dynamic grouping of each heating terminal and implementation of differentiated heating control strategies, and by calculating the return water temperature difference dispersion coefficient to correct the hydraulic balance of heating branch pipelines, it effectively solves the hydraulic and thermal imbalance problems and energy waste caused by the traditional heating control method's neglect of uneven heat distribution within the building, resulting in insufficient heating at distant points and overheating at nearby points. This avoids overheating, achieves precise on-demand heating, and effectively saves energy.

Description

Technical Field

[0001] This invention belongs to the field of intelligent control technology, specifically relating to an energy-saving optimization control method and system for building heating systems. Background Technology

[0002] Traditional building heating systems typically employ constant flow or quality regulation for heat control, adjusting the supply water temperature or circulation pump frequency uniformly based on the outdoor temperature. However, due to differences in orientation, floor level, occupancy rate, and usage habits among heating terminals / users within a building, actual heat demand varies significantly. Traditional heating control methods ignore this uneven heat distribution within the building space, easily leading to hydraulic and thermal imbalances such as "overheating at the near end and insufficient heating at the far end," resulting in substantial energy waste. Therefore, there is an urgent need for an energy-saving control method capable of real-time sensing of the precise heat distribution within the building and dynamically optimizing and adjusting the heating system accordingly. Summary of the Invention

[0003] The purpose of this invention is to provide an energy-saving optimization control method and system for building heating systems, in order to solve the above-mentioned problems existing in the prior art.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, a method for energy-saving optimization control of building heating systems is provided, including: Real-time data collection of the actual supply water temperature of the building heating system, as well as the actual indoor temperature and actual return water temperature of each heating terminal in the building; Based on the current actual water supply temperature of the building heating system, as well as the actual indoor temperature and actual return water temperature of each heating terminal, determine the heat demand characteristic value of each heating terminal at the current moment. Based on the heat demand characteristics of each heating terminal at the current moment, each heating terminal is dynamically grouped into high heat demand group, medium heat demand group and low heat demand group. The dynamic adjustment step of valve opening corresponding to each heating terminal in the heat demand group is calculated based on the actual indoor temperature of each heating terminal at the current moment. The dynamic adjustment step size of the valve opening corresponding to each heating terminal in the medium-demand heat group is sent to the corresponding heating electric valve in the medium-demand heat group, the maximum opening control command is sent to the corresponding heating electric valve in the high-demand heat group, and the intermittent switching control command is sent to the corresponding heating electric valve in the low-demand heat group.

[0005] In one possible design, the method further includes: Determine the standard deviation σ of the actual return water temperature and the average value μ of the actual return water temperature for each heating terminal connected to the same heating branch pipeline; The coefficient of variation of the return water temperature difference C for the corresponding heating branch pipeline is calculated based on the standard deviation σ of the actual return water temperature of each heating terminal connected to the same heating branch pipeline and the average value μ of the actual return water temperature. C = σ / μ. When the return water temperature difference dispersion coefficient C of the corresponding heating branch pipeline exceeds the set dispersion coefficient threshold, the balance valve adjustment command of the corresponding heating branch pipeline is generated based on the difference between the return water temperature difference dispersion coefficient C of the corresponding heating branch pipeline and the dispersion coefficient threshold. The adjustment command for the balancing valve of the corresponding heating branch pipeline is sent to the balancing electric valve of the corresponding heating branch pipeline.

[0006] In one possible design, the method further includes: Calculate the total heat demand value Q based on the heat demand characteristics of each heating terminal at the current moment. total And using the total heat demand value Q total Calculate the target water supply temperature T target T target =T base +K q ×Q total , among which, T base K is the set base water supply temperature. q The set heat-to-temperature conversion coefficient; Target water supply temperature T target Send to the boiler control terminal of the building heating system.

[0007] In one possible design, the target water supply temperature T target After being sent to the boiler control terminal of the building heating system, the method further includes: Real-time acquisition of the actual total return water temperature T of the building heating system total And using the actual total return water temperature T at the corresponding adoption time τ total Calculate the heat source load adjustment ΔL:

[0008] Among them, T q K is the set desired total return water temperature. p 'To set the first proportionality coefficient, K i ' is the first integral coefficient set; The heat source load adjustment amount ΔL is sent to the electric regulating valve of the heat exchange station of the building heating system.

[0009] In one possible design, determining the heat demand characteristic value of each heating terminal at the current moment, based on the actual supply water temperature of the building heating system and the actual indoor temperature and return water temperature of each heating terminal, includes: The actual supply water temperature of the building heating system at the current moment, as well as the actual indoor temperature and actual return water temperature of each heating terminal, are substituted into the heat demand characteristic value calculation model to obtain the heat demand characteristic value of each heating terminal at the current moment. The heat demand characteristic value calculation model is as follows:

[0010] Where i is the heating terminal number, Q i T represents the characteristic value of heat demand at heating terminal i. set The set comfort temperature baseline value, T in，i T represents the actual indoor temperature of heating terminal i. in，0 T represents the average actual indoor temperature across all heating terminals. sup T represents the actual water supply temperature of a building heating system. back，i The actual return water temperature of heating terminal i is represented by α, β and γ, which are the first weighting coefficient, the second weighting coefficient and the third weighting coefficient, respectively.

[0011] In one possible design, the dynamic grouping of heating terminals based on their current heat demand characteristics into high-demand, medium-demand, and low-demand groups includes: Based on the heat demand characteristics of each heating terminal at the current moment, the K-means clustering algorithm is used to dynamically divide all heating terminals into high heat demand group, medium heat demand group and low heat demand group.

[0012] In one possible design, the dynamic adjustment step size of the valve opening corresponding to each heating terminal in the heat demand group, calculated based on the actual indoor temperature of each heating terminal at the current moment, includes: The actual indoor temperature of each heating terminal at the current time t is substituted into the preset dynamic adjustment step size formula for valve opening to calculate the dynamic adjustment step size for valve opening of each heating terminal in the medium-demand heating group. The dynamic adjustment step size formula for valve opening is as follows:

[0013] Where ΔV represents the dynamic adjustment step size of the valve opening, and T set The set comfort temperature baseline value, T in Characterized by the actual indoor temperature of the corresponding heating terminal, K p To set the second proportionality coefficient, K i This is the second integral coefficient that is set.

[0014] In one possible design, sending intermittent switching control commands to the heating electric valves corresponding to each heating terminal in the low-heat-demand group includes: When the actual indoor temperature of the corresponding heating terminal in the low-heat-demand group is higher than the set comfort temperature reference value, a shut-off control command is sent to the heating electric valve of that heating terminal. When the actual indoor temperature of the corresponding heating terminal in the low-heat-demand group is lower than the set comfort temperature benchmark value, an opening control command is sent to the heating electric valve of that heating terminal.

[0015] Secondly, a building heating system energy-saving optimization control system is provided, applied to any of the building heating system energy-saving optimization control methods described in the first aspect above, comprising a parameter acquisition unit, a demand determination unit, a dynamic grouping unit, a control calculation unit, and an instruction sending unit, wherein: The parameter acquisition unit is used to collect the actual supply water temperature of the building heating system, as well as the actual indoor temperature and actual return water temperature of each heating terminal in the building in real time. The demand determination unit is used to determine the heat demand characteristic value of each heating terminal at the current moment based on the actual water supply temperature of the building heating system, the actual indoor temperature of each heating terminal, and the actual return water temperature of each heating terminal. The dynamic grouping unit is used to dynamically group each heating terminal according to the heat demand characteristics of each heating terminal at the current moment, and divide all heating terminals into high heat demand group, medium heat demand group and low heat demand group. The control calculation unit is used to calculate the dynamic adjustment step of the valve opening corresponding to each heating terminal in the heat demand group based on the actual indoor temperature of each heating terminal at the current moment. The instruction sending unit is used to send the dynamic adjustment step size of the valve opening corresponding to each heating terminal in the medium-demand heat group to the heating electric valve corresponding to each heating terminal in the medium-demand heat group, send the maximum opening control instruction to the heating electric valve corresponding to each heating terminal in the high-demand heat group, and send the intermittent switching control instruction to the heating electric valve corresponding to each heating terminal in the low-demand heat group.

[0016] Thirdly, an energy-saving optimization control system for a building heating system is provided, including: Memory, used to store instructions; The processor is configured to read instructions stored in the memory and execute any one of the energy-saving optimization control methods for building heating systems described in the first aspect above, according to the instructions.

[0017] Fourthly, a computer-readable storage medium is provided, on which instructions are stored, which, when executed on a computer, cause the computer to perform any one of the energy-saving optimization control methods for building heating systems described in the first aspect. Simultaneously, a computer program product is also provided, which, when executed on a computer, performs any one of the energy-saving optimization control methods for building heating systems described in the first aspect.

[0018] Beneficial Effects: This invention constructs heat demand characteristics by combining the dual feedback of actual indoor temperature and actual return water temperature at each heating terminal, reflecting users' true heating needs more accurately than relying solely on outdoor temperature compensation. By dynamically grouping each heating terminal and implementing differentiated heating control strategies, and by calculating the return water temperature difference dispersion coefficient to correct the hydraulic balance of heating branch pipelines, it can effectively solve the hydraulic and thermal imbalance problems and energy waste caused by the traditional heating control method's neglect of uneven heat distribution within the building, resulting in insufficient heating at distant points and overheating at nearby points. This avoids overheating, achieves precise heating on demand, and effectively saves energy. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the method in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the system configuration in Embodiment 2 of the present invention; Figure 3 This is a schematic diagram of the system configuration in Embodiment 3 of the present invention. Detailed Implementation

[0021] It should be noted that the descriptions of these embodiments are intended to aid in understanding the invention and do not constitute a limitation thereof. The specific structural and functional details disclosed herein are merely for describing exemplary embodiments of the invention. However, the invention may be embodied in many alternative forms and should not be construed as being limited to the embodiments described herein.

[0022] It should be understood that, unless otherwise explicitly specified and limited, the corresponding terms should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in the embodiments according to the specific circumstances.

[0023] Specific details are provided in the following description to provide a complete understanding of the exemplary embodiments. However, those skilled in the art will understand that the exemplary embodiments can be implemented without these specific details. For example, apparatus may be shown in block diagrams to avoid obscuring the examples with unnecessary details. In other embodiments, well-known processes, structures, and techniques may be omitted with non-essential details to avoid obscuring the embodiments.

[0024] Example 1: This embodiment provides an energy-saving optimization control method for a building heating system, which can be applied to the controller of a building heating system, such as... Figure 1 As shown, the method includes the following steps: S1. Real-time acquisition of the actual supply water temperature of the building heating system, as well as the actual indoor temperature and actual return water temperature of each heating terminal in the building.

[0025] In practice, temperature sensors deployed at the primary heat exchange station of the building heating system can collect the actual water supply temperature of the building heating system in real time, and then upload the actual water supply temperature of the building heating system to the controller. Temperature sensors deployed at each heating terminal (such as each household and each room) and at the return water pipe of the building heating system can collect the actual indoor temperature and actual return water temperature of each heating terminal in real time, and then upload the actual indoor temperature and actual return water temperature of the corresponding heating terminal to the controller.

[0026] S2. Based on the actual water supply temperature of the building heating system at the current moment, as well as the actual indoor temperature and actual return water temperature of each heating terminal, determine the heat demand characteristic value of each heating terminal at the current moment.

[0027] In practical implementation, the controller can substitute the actual supply water temperature of the building heating system at the current moment, as well as the actual indoor temperature and actual return water temperature of each heating terminal, into the heat demand characteristic value calculation model to obtain the heat demand characteristic value of each heating terminal at the current moment. The heat demand characteristic value calculation model is as follows:

[0028] Where i is the heating terminal number, Q i T represents the characteristic value of heat demand at heating terminal i. set The set comfort temperature baseline value, T in，i T represents the actual indoor temperature of heating terminal i. in，0 T represents the average actual indoor temperature across all heating terminals. sup T represents the actual water supply temperature of a building heating system. back，iThe actual return water temperature of heating terminal i is represented by α, β, and γ, which are the first, second, and third weighting coefficients, respectively. The first term reflects the user's deviation from the reference temperature (absolute value demand), the second term reflects the deviation of the area from the building's average temperature (relative balance demand), and the third term reflects the heat dissipation rate of the area (a large supply and return water temperature difference indicates a large heat demand). The specific values ​​can be dynamically adjusted according to the building's thermal insulation characteristics and heating conditions. α+β+γ=1.

[0029] S3. Based on the heat demand characteristics of each heating terminal at the current moment, dynamically group each heating terminal into high heat demand group, medium heat demand group and low heat demand group.

[0030] In practice, the controller can dynamically divide all heating terminals into high-heat-demand groups, medium-heat-demand groups, and low-heat-demand groups based on the heat demand characteristics of each heating terminal at the current moment using the K-means clustering algorithm.

[0031] S4. Calculate the dynamic adjustment step size of the valve opening corresponding to each heating terminal in the heat demand group based on the actual indoor temperature of each heating terminal at the current moment.

[0032] In practice, the controller substitutes the actual indoor temperature of each heating terminal at the current time t into a preset formula for dynamic adjustment step size of valve opening to calculate the dynamic adjustment step size of valve opening for each heating terminal in the medium-demand heating group. The formula for dynamic adjustment step size of valve opening is as follows:

[0033] Where ΔV represents the dynamic adjustment step size of the valve opening, and T set The set comfort temperature baseline value, T in Characterized by the actual indoor temperature of the corresponding heating terminal, K p To set the second proportionality coefficient, K i This is the second integral coefficient that is set. In an actual heating system, K... p and K i The parameter value range is usually: K p : 0.1~5% / ℃ (valve opening percentage per degree Celsius); K i : 0.01~0.5% / (℃·s). Second proportionality coefficient K p Second integral coefficient K i Tuning can be performed using the critical proportionality method, or using an adaptive tuning method based on the characteristic values ​​of heat demand. An adaptive tuning method based on the characteristic values ​​of heat demand is as follows:

[0034] Among them, K p，iK represents the second proportionality coefficient corresponding to heating terminal i. i，i K represents the second integral coefficient corresponding to heating terminal i. p0 and K i0 The baseline proportional coefficient and baseline integral coefficient are set separately (which can be the average value of the corresponding PI tuning parameters of all heating terminals based on historical data), Q0 is the average value of the heat demand characteristic value of all heating terminals, and λ and μ are the set first adjustment coefficient and second adjustment coefficient respectively (for example, λ=0.2, μ=0.1), to ensure K p The value increases with increasing heat demand (faster response), K i Reduce appropriately to avoid integral saturation.

[0035] S5. Send the dynamic adjustment step size of the valve opening corresponding to each heating terminal in the medium-demand heat group to the heating electric valve corresponding to each heating terminal in the medium-demand heat group, send the maximum opening control command to the heating electric valve corresponding to each heating terminal in the high-demand heat group, and send the intermittent switching control command to the heating electric valve corresponding to each heating terminal in the low-demand heat group.

[0036] In practice, the controller sends the dynamic adjustment step size of the valve opening corresponding to each heating terminal in the medium-demand heating group to the corresponding electric heating valve in the same group. This increases the dynamic adjustment step size of the valve opening of the electric heating valve in the medium-demand heating group based on its original valve opening, thereby adjusting the incoming heat supply. The controller sends a maximum opening control command to the electric heating valve corresponding to each heating terminal in the high-demand heating group, causing the electric heating valve in the high-demand heating group to open to its maximum opening, ensuring maximum heat supply. The controller sends intermittent switching control commands to the heating electric valves corresponding to each heating terminal in the low-demand heating group, including: when the actual indoor temperature of the corresponding heating terminal in the low-demand heating group is higher than the set comfort temperature reference value, sending a closing control command to the heating electric valve of the heating terminal to close the heating electric valve of the heating terminal so as to utilize the residual heat of the pipeline network for heating; when the actual indoor temperature of the corresponding heating terminal in the low-demand heating group is lower than the set comfort temperature reference value, sending an opening control command to the heating electric valve of the heating terminal to open the heating electric valve of the heating terminal for timely heat preservation and heating.

[0037] Simultaneously, the controller can also determine the standard deviation σ of the actual return water temperature and the average value μ of the actual return water temperature of each heating terminal connected to the same heating branch pipe in the heating system; then, based on the standard deviation σ and the average value μ of the actual return water temperature of each heating terminal connected to the same heating branch pipe, it calculates the return water temperature difference dispersion coefficient C of the corresponding heating branch pipe, C=σ / μ; when the return water temperature difference dispersion coefficient C of the corresponding heating branch pipe exceeds the set dispersion coefficient threshold, it generates a balancing valve adjustment command for the corresponding heating branch pipe based on the difference between the return water temperature difference dispersion coefficient C and the dispersion coefficient threshold; finally, it sends the balancing valve adjustment command of the corresponding heating branch pipe to the balancing electric valve of the corresponding heating branch pipe, so that the balancing electric valve performs fine adjustment of the flow distribution uniformity, so as to achieve decoupled control of the return water temperature consistency of each heating terminal in the heating branch pipe, so that the return water temperature of each heating terminal tends to be consistent and the hydraulic imbalance is eliminated.

[0038] For the primary side of a building heating system: the controller can calculate the total heat demand value Q based on the heat demand characteristics of each heating terminal at the current moment. total And using the total heat demand value Q total Calculate the target water supply temperature T target T target =T base +K q ×Q total , among which, T base K is the set base water supply temperature. q This is the set heat-to-temperature conversion coefficient. Then, the target supply water temperature T... target The signal is sent to the boiler control terminal of the building heating system, so that the boiler control terminal can adjust the supply water temperature according to the target temperature T. target Boiler heating control is implemented using feedforward control. Then, the actual total return water temperature T of the building heating system is collected in real time based on the temperature detector at the main return water pipe. total And using the actual total return water temperature T at the corresponding adoption time τ total Calculate the heat source load adjustment ΔL:

[0039] Among them, T q K is the set desired total return water temperature. p 'To set the first proportionality coefficient, K i 'The first integral coefficient and the first proportional coefficient K are set. p 'and the first integral coefficient K iThe setting can be achieved using the critical proportional gain method. Finally, the heat source load adjustment ΔL is sent to the electric regulating valve of the heat exchange station in the building heating system, causing the electric regulating valve to adjust its opening based on the heat source load adjustment ΔL, thus achieving feedback correction. Through this feedforward + feedback composite energy-saving optimization control, the controller can achieve macroscopic matching between the primary side heat supply and heat demand of the building heating system.

[0040] This method constructs heat demand characteristics by combining the dual feedback of actual indoor temperature and actual return water temperature at each heating terminal, reflecting users' true heating needs more accurately than simply relying on outdoor temperature compensation. By dynamically grouping each heating terminal and implementing differentiated heating control strategies, and by calculating the return water temperature difference dispersion coefficient to correct the hydraulic balance of heating branch pipelines, it can effectively solve the hydraulic and thermal imbalance problems and energy waste caused by the traditional heating control method, which ignores the uneven heat distribution inside the building, resulting in insufficient heating at distant points and overheating at nearby points. This avoids overheating, achieves precise heating on demand, and effectively saves energy.

[0041] Example 2: This embodiment provides an energy-saving optimization control system for a building heating system, such as... Figure 2 As shown, it includes a parameter acquisition unit, a demand determination unit, a dynamic grouping unit, a control calculation unit, and an instruction sending unit, wherein: The parameter acquisition unit is used to collect the actual supply water temperature of the building heating system, as well as the actual indoor temperature and actual return water temperature of each heating terminal in the building in real time. The demand determination unit is used to determine the heat demand characteristic value of each heating terminal at the current moment based on the actual water supply temperature of the building heating system, the actual indoor temperature of each heating terminal, and the actual return water temperature of each heating terminal. The dynamic grouping unit is used to dynamically group each heating terminal according to the heat demand characteristics of each heating terminal at the current moment, and divide all heating terminals into high heat demand group, medium heat demand group and low heat demand group. The control calculation unit is used to calculate the dynamic adjustment step of the valve opening corresponding to each heating terminal in the heat demand group based on the actual indoor temperature of each heating terminal at the current moment. The instruction sending unit is used to send the dynamic adjustment step size of the valve opening corresponding to each heating terminal in the medium-demand heat group to the heating electric valve corresponding to each heating terminal in the medium-demand heat group, send the maximum opening control instruction to the heating electric valve corresponding to each heating terminal in the high-demand heat group, and send the intermittent switching control instruction to the heating electric valve corresponding to each heating terminal in the low-demand heat group.

[0042] Furthermore, the control calculation unit is also used to determine the standard deviation σ of the actual return water temperature and the average value μ of the actual return water temperature of each heating terminal connected to the same heating branch pipeline; calculate the return water temperature difference dispersion coefficient C of the corresponding heating branch pipeline based on the standard deviation σ and the average value μ of the actual return water temperature of each heating terminal connected to the same heating branch pipeline, C=σ / μ; when the return water temperature difference dispersion coefficient C of the corresponding heating branch pipeline exceeds a set dispersion coefficient threshold, generate a balancing valve adjustment command for the corresponding heating branch pipeline based on the difference between the return water temperature difference dispersion coefficient C and the dispersion coefficient threshold. The command sending unit is also used to send the balancing valve adjustment command of the corresponding heating branch pipeline to the balancing electric valve of the corresponding heating branch pipeline.

[0043] Furthermore, the parameter acquisition unit is also used to acquire the actual total return water temperature T of the building heating system in real time. total The control calculation unit is also used to calculate the total heat demand value Q based on the heat demand characteristic values ​​of each heating terminal at the current time. total And using the total heat demand value Q total Calculate the target water supply temperature T target T target =T base +K q ×Q total , among which, T base K is the set base water supply temperature. q The set heat-to-temperature conversion coefficient; and the actual total return water temperature T at the corresponding time τ. total Calculate the heat source load adjustment ΔL:

[0044] Among them, T q K is the set desired total return water temperature. p 'To set the first proportionality coefficient, K i ' is the set first integral coefficient. The instruction sending unit is also used to send the target water supply temperature T target The data is sent to the boiler control terminal of the building heating system, and the heat source load adjustment ΔL is sent to the electric regulating valve of the heat exchange station of the building heating system.

[0045] Example 3: This embodiment provides an energy-saving optimization control system for a building heating system, such as... Figure 3 As shown, at the hardware level, it includes: The data interface is used to establish data communication between the processor and external data terminals; Memory, used to store instructions; The processor is used to read instructions stored in the memory and execute the energy-saving optimization control method for building heating system in Embodiment 1 according to the instructions.

[0046] Optionally, the system also includes an internal bus, through which the processor, memory, and data interface can be interconnected. This internal bus can be a PCIe (Peripheral Component Interconnect Eexpress) bus, which can be divided into an address bus, a data bus, a control bus, etc. The memory can include, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Flash Memory, First Input First Output (FIFO), and / or First In Last Out (FILO). The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0047] Example 4: This embodiment provides a computer-readable storage medium storing instructions. When these instructions are executed on a computer, the computer performs the energy-saving optimization control method for a building heating system as described in Embodiment 1. The computer-readable storage medium refers to a data storage medium, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or Memory Sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0048] This embodiment also provides a computer program product that, when run on a computer, executes the building heating system energy-saving optimization control method of Embodiment 1. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0049] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for energy-saving optimization control of a building heating system, characterized in that, include: Real-time data collection of the actual supply water temperature of the building heating system, as well as the actual indoor temperature and actual return water temperature of each heating terminal in the building; Based on the current actual water supply temperature of the building heating system, as well as the actual indoor temperature and actual return water temperature of each heating terminal, determine the heat demand characteristic value of each heating terminal at the current moment. Based on the heat demand characteristics of each heating terminal at the current moment, each heating terminal is dynamically grouped into high heat demand group, medium heat demand group and low heat demand group. The dynamic adjustment step of valve opening corresponding to each heating terminal in the heat demand group is calculated based on the actual indoor temperature of each heating terminal at the current moment. The dynamic adjustment step size of the valve opening corresponding to each heating terminal in the medium-demand heat group is sent to the corresponding heating electric valve in the medium-demand heat group, the maximum opening control command is sent to the corresponding heating electric valve in the high-demand heat group, and the intermittent switching control command is sent to the corresponding heating electric valve in the low-demand heat group.

2. The energy-saving optimization control method for a building heating system according to claim 1, characterized in that, The method further includes: Determine the standard deviation σ of the actual return water temperature and the average value μ of the actual return water temperature for each heating terminal connected to the same heating branch pipeline; The coefficient of variation of the return water temperature difference C for the corresponding heating branch pipeline is calculated based on the standard deviation σ of the actual return water temperature of each heating terminal connected to the same heating branch pipeline and the average value μ of the actual return water temperature. C = σ / μ. When the return water temperature difference dispersion coefficient C of the corresponding heating branch pipeline exceeds the set dispersion coefficient threshold, the balance valve adjustment command of the corresponding heating branch pipeline is generated based on the difference between the return water temperature difference dispersion coefficient C of the corresponding heating branch pipeline and the dispersion coefficient threshold. The adjustment command for the balancing valve of the corresponding heating branch pipeline is sent to the balancing electric valve of the corresponding heating branch pipeline.

3. The energy-saving optimization control method for a building heating system according to claim 1, characterized in that, The method further includes: calculating a total heat demand value Q based on the heat demand characteristic value of each heating terminal at the current time total , and using the total heat demand value Q total to calculate a target water supply temperature T target , T target = T base + K q × Q total , wherein T base is a set basic water supply temperature, and K q is a set heat-temperature conversion coefficient The target water supply temperature T target is sent to the boiler control end of the building heating system.

4. The energy-saving optimization control method for a building heating system according to claim 3, characterized in that, The target water supply temperature T target The method further comprises, after sending to the boiler control end of the building heating system, Real-time acquisition of the actual total return water temperature T of the building heating system total And using the actual total return water temperature T at the corresponding adoption time τ total Calculate the heat source load adjustment ΔL: Among them, T q K is the set desired total return water temperature. p 'To set the first proportionality coefficient, K i ' is the first integral coefficient set; The heat source load adjustment amount ΔL is sent to the electric regulating valve of the heat exchange station of the building heating system.

5. The energy-saving optimization control method for a building heating system according to claim 1, characterized in that, The process of determining the heat demand characteristic value of each heating terminal at the current moment based on the actual supply water temperature of the building heating system and the actual indoor temperature and actual return water temperature of each heating terminal includes: The actual supply water temperature of the building heating system at the current moment, as well as the actual indoor temperature and actual return water temperature of each heating terminal, are substituted into the heat demand characteristic value calculation model to obtain the heat demand characteristic value of each heating terminal at the current moment. The heat demand characteristic value calculation model is as follows: Where i is the heating terminal number, Q i T represents the characteristic value of heat demand at heating terminal i. set The set comfort temperature baseline value, T in，i T represents the actual indoor temperature of heating terminal i. in，0 T represents the average actual indoor temperature across all heating terminals. sup T represents the actual water supply temperature of a building heating system. back，i The actual return water temperature of heating terminal i is represented by α, β and γ, which are the first weighting coefficient, the second weighting coefficient and the third weighting coefficient, respectively.

6. The energy-saving optimization control method for a building heating system according to claim 1, characterized in that, The process of dynamically grouping heating terminals based on their current heat demand characteristics into high-demand, medium-demand, and low-demand groups includes: Based on the heat demand characteristics of each heating terminal at the current moment, the K-means clustering algorithm is used to dynamically divide all heating terminals into high heat demand group, medium heat demand group and low heat demand group.

7. The energy-saving optimization control method for a building heating system according to claim 1, characterized in that, The dynamic adjustment step size of the valve opening corresponding to each heating terminal in the heat demand group, calculated based on the actual indoor temperature of each heating terminal at the current moment, includes: The actual indoor temperature of each heating terminal at the current time t is substituted into the preset dynamic adjustment step size formula for valve opening to calculate the dynamic adjustment step size for valve opening of each heating terminal in the medium-demand heating group. The dynamic adjustment step size formula for valve opening is as follows: Where ΔV represents the dynamic adjustment step size of the valve opening, and T set The set comfort temperature baseline value, T in Characterized by the actual indoor temperature of the corresponding heating terminal, K p To set the second proportionality coefficient, K i This is the second integral coefficient that is set.

8. The energy-saving optimization control method for a building heating system according to claim 1, characterized in that, Sending intermittent switching control commands to the heating electric valves corresponding to each heating terminal in the low-heat-demand group includes: When the actual indoor temperature of the corresponding heating terminal in the low-heat-demand group is higher than the set comfort temperature reference value, a shut-off control command is sent to the heating electric valve of that heating terminal. When the actual indoor temperature of the corresponding heating terminal in the low-heat-demand group is lower than the set comfort temperature benchmark value, an opening control command is sent to the heating electric valve of that heating terminal.

9. An energy-saving optimization control system for a building heating system, applied to the energy-saving optimization control method for a building heating system as described in any one of claims 1-8, characterized in that, It includes a parameter acquisition unit, a demand determination unit, a dynamic grouping unit, a control calculation unit, and an instruction sending unit, wherein: The parameter acquisition unit is used to collect the actual supply water temperature of the building heating system, as well as the actual indoor temperature and actual return water temperature of each heating terminal in the building in real time. The demand determination unit is used to determine the heat demand characteristic value of each heating terminal at the current moment based on the actual water supply temperature of the building heating system, the actual indoor temperature of each heating terminal, and the actual return water temperature of each heating terminal. The dynamic grouping unit is used to dynamically group each heating terminal according to the heat demand characteristics of each heating terminal at the current moment, and divide all heating terminals into high heat demand group, medium heat demand group and low heat demand group. The control calculation unit is used to calculate the dynamic adjustment step of the valve opening corresponding to each heating terminal in the heat demand group based on the actual indoor temperature of each heating terminal at the current moment. The instruction sending unit is used to send the dynamic adjustment step size of the valve opening corresponding to each heating terminal in the medium-demand heat group to the heating electric valve corresponding to each heating terminal in the medium-demand heat group, send the maximum opening control instruction to the heating electric valve corresponding to each heating terminal in the high-demand heat group, and send the intermittent switching control instruction to the heating electric valve corresponding to each heating terminal in the low-demand heat group.

10. An energy-saving optimization control system for a building heating system, characterized in that, include: Memory, used to store instructions; A processor is configured to read instructions stored in the memory and execute the energy-saving optimization control method for building heating systems according to any one of claims 1-8.

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