A multi-zone centralized cooling and heating time-sharing and region-dividing intelligent scheduling control method

Abstract

The application provides a multi-region centralized cooling and heating time-sharing and partition intelligent scheduling control method, relates to the centralized heating and cooling regulation and control technical field, and comprises the following steps: S1: collecting basic related data to generate a thermal comfort adjustable index; S2: collecting water thermal force characteristic parameters to generate a water dynamic force advantage index; S3: collecting action time sequence parameters to generate an active energy-saving contribution value; and S4: collecting standardized benchmark quantities, outdoor solar radiation intensity, standard radiation intensity and a radiation modulation function, and generating a switching trigger index together with the active energy-saving contribution value and a previous round cumulative income index. Through the fusion of the double-weighted incentives of thermal comfort and water force position, the energy-saving quantity transaction economic lever and the solar radiation self-adaptive modulation, the application realizes the terminal active energy-saving, the water force self-balancing and the heat source efficient cooperation, and improves the renewable energy utilization rate and the system energy efficiency.

Description

Technical Field

[0001] This invention relates to the field of centralized heating and cooling regulation technology, specifically a multi-regional centralized heating and cooling intelligent scheduling and control method. Background Technology

[0002] With the diversification of building functions and the increasing demands for user comfort, there are significant differences in load demand in different regions at different times. Therefore, a differentiated energy supply scheduling control method is needed based on regional type and time period, namely, time-sharing and zone-based intelligent scheduling control method. However, the time-sharing and zone-based intelligent scheduling control method for multi-region centralized cooling and heating usually relies on preset time schedules or return water temperatures for open-loop regulation. Therefore, by constructing an adaptive scheduling method that can integrate end-point thermal comfort margin, hydraulic dominance weight, and energy-saving trading incentives, we can achieve efficient and coordinated control of time-sharing and zone-based energy supply, and improve the utilization rate of renewable energy and system energy efficiency.

[0003] The prior art, disclosed in CN113405153A, discloses a control method and apparatus for a centralized cooling / heating system. This technology includes: acquiring the required power Pi corresponding to each terminal i in the centralized cooling / heating system, wherein the centralized cooling / heating system includes one or more terminals i; summing the required power Pi of each terminal i and adding the pipeline loss to obtain the current total required power P; and using the total required power P as the target to control the centralized cooling / heating system to perform work for the current cooling or heating condition. This scheme can effectively reduce the energy waste problem of fixed power work, and compared with the constant temperature closed-loop control method based on the temperature difference of the output and return working fluids, it can achieve instantaneous response, thereby effectively saving energy waste during the transition period of the constant temperature closed-loop control method. It has the advantages of good energy saving effect and good versatility.

[0004] However, the aforementioned existing technologies lack dynamic perception of the actual thermal state and hydraulic position at the terminal, making it impossible to identify the real load demand of each area at different times; the energy-saving behavior of users voluntarily closing valves based on comfort is not quantified or incentivized, resulting in insufficient user participation in energy conservation; the improvement effect of near-end valve regulation on the remote available pressure head is not fully utilized, and the hydraulic imbalance problem remains prominent; the heat source side cannot detect the load decline trend of the terminal group in advance, resulting in a delayed response and energy waste.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide a multi-region centralized cooling and heating time-sharing and zone-based intelligent scheduling and control method to solve the problems mentioned in the background art. This invention improves hydraulic balance by identifying high-value valve-closing behavior through dual weighting; ensures comfort by not penalizing valve opening; generates economic incentives by linking energy-saving points to a trading platform; aggregates group contributions to drive heat pumps to adaptively switch between solar thermal storage and supplementary heating modes based on solar radiation, supplemented by hysteresis control, to achieve closed-loop optimization of end-point incentives and source-end coordination.

[0007] To achieve the above objectives, the present invention provides the following technical solution: A method for intelligent scheduling and control of centralized cooling and heating systems in multiple regions, including the following steps: S1: Collect basic relevant data, including indoor air temperature, user target temperature, outdoor air temperature, and real-time water flow; combine the basic relevant data with the nominal water flow to generate a thermal comfort adjustable index; the thermal comfort adjustable index is used to quantify the comfort margin that the space can provide under the current thermal conditions, and the larger the thermal comfort adjustable index value, the more significant the overheating of the space. S2: Collect hydrothermal characteristic parameters, including supply and return water pressure difference, real-time water flow rate, system average supply water temperature, and terminal inlet water temperature; combine the characteristic parameters with the benchmark resistance coefficient and temperature calibration range to generate a hydrodynamic advantage index; the hydrodynamic advantage index represents the hydraulic status in the pipeline system. S3: Collect action timing parameters, including the position of the flow regulating device in the current time period, the action range of the flow regulating device, the cumulative benefit of the previous round, and the position of the flow regulating device in the previous time period; the timing parameters, together with the thermal comfort adjustable index and the hydrodynamic advantage index, generate an active energy-saving contribution value. S4: Gather standardized benchmark quantities, outdoor solar irradiance, standard irradiance, and radiation modulation function, and generate a switching trigger index together with the active energy-saving contribution value and the previous round of cumulative revenue indicators; compare the calculated switching trigger index with the preset high threshold and low threshold; if the switching trigger index is greater than the high threshold, the equipment switches to the solar thermal storage priority mode; if the switching trigger index is less than the low threshold, it switches to the high-efficiency heat supplement mode; otherwise, it maintains the current operating mode, forming a hysteresis control.

[0008] Furthermore, the thermal comfort adjustable index is calculated using the following formula: in: The thermal comfort index is adjustable. Indoor air temperature; For the user's target temperature; Outdoor air temperature; Real-time water flow rate; Nominal water flow rate; For temperature difference ratio, molecules This indicates the extent to which the indoor temperature exceeds the set value; a positive value indicates overheating. The denominator... This reflects the maximum temperature difference that needs to be overcome to maintain the set temperature under the current climate conditions, and is used for normalization. This refers to the flow rate ratio.

[0009] Furthermore, the thermal comfort adjustable index is used to quantify the comfort margin that users can provide in the current thermal environment of the room where the terminal device is located. The room's thermal state is determined based on the value of the thermal comfort adjustable index: when the thermal comfort adjustable index is greater than zero, it indicates that the room is overheated, and the larger the value, the higher the energy-saving potential of closing the regulating valve; when the thermal comfort adjustable index is equal to zero, the room temperature just meets the set value, and the valve closing action is not performed; when the thermal comfort adjustable index is less than zero, the room has not reached the set temperature, and comfort should be prioritized.

[0010] Furthermore, the hydrodynamic advantage index is calculated using the following formula: in: Hydrodynamic Advantage Indicators The pressure difference between supply and return water; Real-time water flow rate; The reference drag coefficient; The average water supply temperature of the system; This refers to the inlet water temperature at the end. Temperature calibration range; The value represents the relative impedance; the larger the value, the more advantageous the hydraulic location. This is a temperature correction factor; when the terminal inlet water temperature is higher than the system average supply water temperature, If negative, the temperature correction factor is greater than 1, increasing the value. Furthermore, the values ​​of the hydrodynamic advantage index are divided into three ranges—high, medium, and low—by defining thresholds, respectively representing the hydraulic position and regulatory contribution value of the terminal device in the pipeline network. When the hydrodynamic advantage index value is greater than the first threshold, it indicates that the terminal is located near the end of the pipeline network, and the valve closing action has the highest contribution value to improving the hydraulic balance of the entire network. When the hydrodynamic advantage index value is less than the second threshold, it indicates that the terminal is located far from the network, and the regulatory behavior has a weak impact on the hydraulic distribution, resulting in a low contribution value. When the hydrodynamic advantage index value is between the first and second thresholds, it represents that the terminal is at the average hydraulic position, and the regulatory behavior has a general contribution. Furthermore, the active energy-saving contribution value is calculated using the following formula: in: Contribution value to proactive energy conservation; This is the accumulated profit from the previous round; As the conversion factor, a preset constant is used to map the product to standard return points; The range of motion; , This indicates the location of the flow regulation device for this time period. This refers to the position of the flow regulating device in the previous time period; if This indicates that the user has rotated the regulating valve towards the closed direction, thus reducing the valve opening; if This indicates that the valve is not activated or is moving in the opening direction. Furthermore, the active energy-saving contribution value is evaluated by combining the thermal comfort adjustable index and the hydrodynamic advantage index, using a dual-weighted approach. A higher contribution value is only obtained when there is a superheat margin and the terminal is in a hydraulically advantageous position. An incremental accumulation mechanism is used, generating a positive contribution only when the valve moves in the closing direction; opening the valve or remaining stationary does not deduct existing points. The active energy-saving contribution value is directly connected to the energy-saving trading service platform, allowing users to use it for electricity bill deductions, point transfers, and obtaining additional rewards, forming a positive feedback loop for continuous energy saving. Simultaneously, the system summarizes the changes in contribution values ​​at each terminal as input to drive the switching of the heat source operation mode. Furthermore, the switching trigger index is calculated using the following formula: in: To switch trigger index; This represents the difference between the active energy-saving contribution value in the current control cycle and the active energy-saving contribution value in the previous control cycle, indicating the value of the first... The new contribution of each end in this cycle; Standardized benchmark value; The irradiance modulation function value is obtained by formula... Perform calculations; where Outdoor solar irradiance; Rated solar irradiance; The irradiance ratio represents the proportion of current solar irradiance to the rated intensity. Further, the irradiance modulation function maps the measured solar irradiance to a modulation coefficient between 0.5 and 1.5. First, the irradiance ratio is calculated and limited to the range of 0-1 by a minimum value function to avoid excessive amplification from strong sunlight. Then, the saturation ratio is linearly mapped to 0.5-1.5: 0.5 is output when there is no sunlight, and 1.5 is output when the irradiance reaches or exceeds the rated value, exhibiting a linear relationship. The irradiance modulation function acts as a multiplicative factor in the switching trigger index, weighting the solar energy resources. The stronger the sunlight, the larger the irradiance modulation function value, resulting in a higher switching trigger index for the same end-point energy-saving behavior intensity, and a greater tendency for the system to switch to the solar thermal storage priority mode. On cloudy days and at night, the modulation factor decreases to around 0.5, but still retains response sensitivity.

[0011] Furthermore, the switching trigger index is compared with preset high and low thresholds. When the switching trigger index is greater than the high threshold, it indicates that the intensity of active valve-closing behavior by end users in the entire system is significant and the solar irradiance is sufficient. The system has a large load reduction trend and renewable energy utilization potential. At this time, the dual-mode heat pump unit is controlled to switch to the solar thermal storage priority mode. When the switching trigger index is less than the low threshold, it indicates that users have less energy-saving behavior, insufficient solar energy resources, and an increase in overall end-user demand. At this time, the dual-mode heat pump unit is switched to the high-efficiency supplementary heating mode. When the switching trigger index is between the low and high thresholds, the system maintains the current operating mode and does not perform any switching action.

[0012] Compared with existing technologies, the beneficial effects of this invention are as follows: By using a dual weighting of the adjustable thermal comfort index and the hydrodynamic advantage index, high-value energy-saving behaviors are accurately identified, and only proactive valve-closing actions that have both superheat margin and are in a hydraulically superior position are rewarded, effectively improving the hydraulic balance of the entire network. An incremental accumulation mechanism is adopted, with no penalty for valve opening, ensuring users' right to use heat on demand. The proactive energy-saving contribution value is linked to the energy-saving trading platform, forming a positive economic feedback loop. Simultaneously, the aggregation of changes in group contributions drives the heat pump's adaptive switching: when there is sufficient sunshine, solar thermal storage is prioritized to reduce power consumption; when demand increases, high-efficiency supplementary heating is switched to ensure comfort. Preset threshold hysteresis control avoids frequent heat pump switching, improving operational stability and achieving closed-loop optimization of end-point incentives, hydraulic self-balancing, and source-end coordination. Attached Figure Description

[0013] Figure 1 This is a flowchart illustrating a multi-region centralized cooling and heating time-sharing and zoned intelligent scheduling and control method according to the present invention. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0015] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar words used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly. Example: Please see Figure 1 The present invention provides a technical solution: A method for intelligent scheduling and control of centralized cooling and heating systems in multiple regions, including the following steps: S1: Collect basic relevant data, including the indoor temperature of the room where the terminal is located, the user's target temperature set by the thermostat, the outdoor ambient temperature, and the real-time water flow through the terminal heat exchange device; wherein the indoor and outdoor temperatures are continuously acquired by temperature sensors installed at typical indoor locations and outdoor ventilation points at preset sampling periods, respectively, the user's target temperature is read in real time by the thermostat, and the real-time water flow is measured by a flow meter installed on the terminal inlet pipe at the same sampling period; the heat exchange device can be a conventional radiator, underfloor heating coil, or fan coil unit, or an energy-saving heat exchange device can be used, the latter can improve heat exchange efficiency under the same water flow by increasing the heat exchange area or optimizing the flow channel design.

[0016] The thermal comfort adjustable index is generated by combining basic relevant data with nominal water flow rate. The thermal comfort adjustable index is calculated using the following formula: in: The thermal comfort index is adjustable. Indoor air temperature; For the user's target temperature; Outdoor air temperature; Real-time water flow rate; Nominal water flow rate; The temperature difference ratio reflects the degree to which the current room temperature deviates from the set value relative to the driving force of outdoor climate. A positive value indicates that the room is overheated; the higher the value, the more severe the overheating, and the greater the energy-saving potential for the user to reduce valve temperature. A negative value indicates that the room temperature has not met the set value, and there is no energy-saving margin. This indicates the extent to which the indoor temperature exceeds the set value; a positive value indicates overheating. The denominator... This reflects the maximum temperature difference that needs to be overcome to maintain the set temperature under the current climate conditions, and is used for normalization. The flow rate ratio is used to adjust the overheating potential reflected by the temperature difference ratio. The thermal comfort adjustable index is used to quantify the comfort margin that the user can actively yield in the current thermal environment of the room where the terminal device is located. This index is calculated based on the measured indoor temperature, the user-set temperature, the outdoor ambient temperature, and the ratio of real-time water flow to nominal water flow. Its value directly reflects the degree of overheating in the room and the adjustable space. When the thermal comfort adjustable index is greater than zero, it indicates that the current actual temperature of the room is higher than the user-set value, and there is a clear overheating situation. The larger the index value, the more significant the indoor heat surplus, and the higher the energy-saving potential that the user can achieve by closing the regulating valve. When the thermal comfort adjustable index is approximately equal to zero, it indicates that the room temperature just meets the user-set value, with neither overheating nor underheating. At this time, it is not recommended to close the valve to avoid affecting the normal comfort level. When the thermal comfort adjustable index is less than zero, it indicates that the actual room temperature has not reached the user-set value and is in an underheating state. At this time, the user's heating needs should be prioritized to ensure that the user's comfort is not compromised.

[0017] S2: Collect water thermodynamic characteristic parameters, including: supply and return water pressure difference, which is continuously acquired by a pressure difference sensor installed between the inlet and outlet of the terminal heat exchange device at a preset sampling period; real-time water flow rate, which is synchronously read by a flow meter within the same sampling period; system average water supply temperature, which is calculated by the heat source controller after collecting the water supply temperature of each branch and broadcasting it to the entire network; and terminal inlet water temperature, which is collected in real time by a temperature sensor installed on the terminal inlet pipe. The hydrodynamic advantage index is generated by combining the characteristic parameters with the reference drag coefficient and the temperature calibration range. The hydrodynamic advantage index is calculated using the following formula: in: Hydrodynamic Advantage Indicators The pressure difference between supply and return water; Real-time water flow rate; The reference drag coefficient; The average water supply temperature of the system; This refers to the inlet water temperature at the end. Temperature calibration range; The value represents relative impedance. The larger this value, the closer the end is to the heat source: Near-end users have a significant supply and return water pressure difference, but the flow rate is moderate due to the control valve, resulting in higher impedance and a larger value; Far-end users have a small pressure difference and the flow rate is close to full opening, resulting in lower impedance and a smaller value. This is a temperature correction factor; when the terminal inlet water temperature is higher than the system average supply water temperature, If negative, the temperature correction factor is greater than 1, increasing the value. Conversely, the index value is reduced. The numerical value of the hydrodynamic advantage index is divided into three intervals—high, medium, and low—by a preset first threshold and a second threshold, respectively representing the hydraulic status of the terminal device in the pipeline network and its contribution to the fluid dynamic balance of the entire system; wherein the first threshold is greater than the second threshold; When the hydrodynamic advantage index is greater than the first threshold, it indicates that the terminal device is located near the end of the pipeline network, with a large supply and return water pressure difference, moderate real-time water flow limited by the regulating valve, and the terminal inlet water temperature is higher than the system average supply water temperature, with a temperature correction factor greater than one. Closing the regulating valve at this type of terminal can significantly release the available pressure head at the remote end, improve the problem of insufficient flow for remote users, and has the highest contribution value to the hydraulic balance of the entire network. The system should give it the highest weight in the energy saving points calculation. When the hydrodynamic advantage index is less than the second threshold, it indicates that the terminal device is located at the far end of the pipeline network, with a small supply and return water pressure difference, a real-time water flow close to full opening, and a terminal inlet water temperature lower than the system average, and a temperature correction factor less than one. The regulation behavior of such terminals has a weak impact on hydraulic distribution and a low contribution value, and the system should reduce its energy-saving integral weight accordingly. When the hydrodynamic advantage index is between the first and second thresholds, it represents that the terminal is at the average hydraulic position of the pipeline network, and its regulation behavior has a general contribution to hydraulic balance, and the system assigns it a medium weight.

[0018] S3: Collect action timing parameters, which include: the position of the flow regulating device in the current time period, which is recorded and stored in real time by the end controller. The position represents the current opening degree of the regulating valve in percentage form, with a value range of 0% to 100%. The action amplitude of the flow regulating device is calculated based on the difference between the position of the flow regulating device in the previous time period and the position in the current time period. A positive value indicates that the regulating valve moves in the closing direction, a negative value indicates that it moves in the opening direction, and a zero value indicates that the position has not changed. The cumulative revenue value at the end of the previous cycle provided by the energy-saving trading service, i.e., the cumulative revenue of the previous round. The position of the flow regulating device in the previous time period is retrieved from the system's historical database and used to perform differential calculation with the position in the current time period. The time-series parameters, along with the thermal comfort adjustable index and hydrodynamic advantage index, jointly generate the active energy-saving contribution value, which is calculated using the following formula: in: Contribution value to proactive energy conservation; This is the accumulated profit from the previous round; As the conversion factor, a preset constant is used to map the product to standard return points; The range of motion; , This indicates the location of the flow regulation device for this time period. This refers to the position of the flow regulating device in the previous time period; if This indicates that the user has rotated the regulating valve towards the closed direction, thus reducing the valve opening; if This indicates that the valve has not been activated or has moved in the opening direction. The active energy-saving contribution value is evaluated by combining the thermal comfort adjustable index and the hydrodynamic advantage index to perform a dual-weighted assessment of the user's valve-closing behavior. The thermal comfort adjustable index quantifies the current overheat margin of the room, and the hydrodynamic advantage index represents the hydraulic position of the terminal in the pipe network. The product of the two constitutes the comprehensive weight of the valve-closing behavior. Only when there is a clear overheat margin in the room and the terminal is located in a hydraulically superior position can the valve-closing action obtain a higher contribution value, thereby achieving accurate identification and differentiated incentives for high-value energy-saving behaviors. For terminals with insufficient overheat margin or poor hydraulic position, even if valve-closing behavior occurs, the contribution value obtained will be reduced or reduced to zero accordingly to avoid ineffective incentives.

[0019] This indicator uses an incremental accumulation mechanism, generating a positive new contribution only when the regulating valve moves in the closed direction, which is added to the accumulated benefits of the previous round; when the valve moves in the open direction or remains stationary, no new contribution is generated, nor are existing points deducted. This design fully guarantees users' basic right to use heat as needed, allowing users to freely open the valve when they feel cold without incurring point losses, thus avoiding sacrificing comfort for economic incentives; The active energy-saving contribution value is directly connected to the energy-saving trading service platform. Users can check their account balance through the platform and use the accumulated points for electricity bill deduction, heating fee reduction, transfer of points to other users, or to obtain additional reward coefficients during specific periods according to preset rules, forming a positive economic feedback loop for continuous energy saving. In addition, the system summarizes the changes in the active energy-saving contribution value of all terminals across the network in real time, which serves as one of the key input parameters for driving the switching of heat source operation modes, realizing a closed-loop linkage between terminal energy-saving behavior and source-end coordinated control.

[0020] S4: The standardized baseline quantities, outdoor solar radiation intensity, standard irradiance, and radiation modulation function are combined with the active energy-saving contribution value and the previous round's cumulative benefit index to generate a switching trigger index. This switching trigger index is calculated using the following formula: in: To switch trigger index; This represents the difference between the active energy-saving contribution value in the current control cycle and the active energy-saving contribution value in the previous control cycle. The new contribution of each end in this cycle; Standardized benchmark value; The irradiance modulation function value is obtained by formula... Perform calculations; where Outdoor solar irradiance; Rated solar irradiance; The irradiance ratio represents the proportion of current solar irradiance to the rated intensity. The irradiance modulation function maps the measured solar irradiance to a dimensionless modulation coefficient between 0.5 and 1.5, thereby applying solar resource weighting to the heat source mode switching trigger index. The processing flow of this function is as follows: First, the ratio of measured solar irradiance to the preset rated irradiance is calculated. Second, the ratio is subjected to upper limit saturation processing through a minimum value function, limiting it to a closed interval between 0 and 1 to avoid excessive amplification of the irradiance ratio under extremely strong solar conditions, which would cause the modulation coefficient to exceed a reasonable range. Then, the saturated ratio is linearly mapped so that the output modulation coefficient takes the minimum value of 0.5 when there is no sunlight and the maximum value of 1.5 when the irradiance reaches or exceeds the rated value, with a strictly linear relationship in the intermediate range.

[0021] The modulation function acts as a multiplicative factor in the switching trigger index, its core function being to dynamically adjust the sensitivity of the switching criterion based on the abundance of solar resources. When outdoor sunlight is strong, the modulation coefficient approaches 1.5. At this point, even if the energy-saving intensity of the end-user group is at a moderate level, the switching trigger index can still reach a high value, thus the system preferentially switches to the solar thermal storage priority mode to maximize the use of free solar energy and reduce compressor power consumption. When it is cloudy or at night, the modulation coefficient decays to around 0.5, but does not return to zero, retaining a certain level of response sensitivity to ensure that end-user energy-saving behavior can still drive the heat source mode switching, only the required group energy-saving intensity threshold increases accordingly.

[0022] The switching trigger index is compared with preset high and low thresholds to form hysteresis control logic. When the switching trigger index is greater than the high threshold, it indicates that the intensity of active valve-closing behavior of end users across the entire system is significant. That is, a large number of end users simultaneously execute valve-closing actions in the same control cycle, and the valve-closing amplitude is large, resulting in a significant increase in the total increase in the active energy-saving contribution value of each end user. At the same time, the outdoor solar irradiance is sufficient, and the irradiance modulation coefficient is in a high value range. The above two conditions together reflect that the system currently has a significant load reduction trend, the overall demand of users for heating or cooling has substantially decreased, and there is ample space for renewable energy utilization. Under this condition, the control system issues a command to switch the dual-condition heat pump unit to the solar thermal storage priority mode. In this mode, the water supply temperature setpoint is increased, the solar thermal collector circulation loop is started, the compressor operating frequency is reduced, and the heat collected by the solar collector is preferentially converted into hot water and stored in the hot water storage tank or pipe network, thereby maximizing the utilization of free solar energy and reducing electricity consumption. When the switching trigger index is less than the low threshold, it indicates that users are not engaging in energy-saving behavior, meaning that most terminal units are not performing valve-closing actions or are only closing them slightly, resulting in a low total contribution to the entire system; or that outdoor solar irradiance is insufficient, such as on cloudy days, at night, or when the solar intensity is low, causing the irradiance modulation coefficient to decrease; or that overall demand at the terminal units is increasing, with users actively opening valves due to low indoor temperatures. In these situations, the system is not suitable for implementing a solar thermal storage priority strategy. At this time, the dual-mode solar heat pump air conditioning unit switches to a high-efficiency heat supplementation mode, restores normal operating parameters, and heats or cools according to actual load demand, prioritizing the comfort requirements of each terminal user. When the switching trigger index is between the low and high thresholds, the system maintains its current operating mode and does not perform any switching action. This hysteresis range effectively avoids frequent start-ups and shutdowns or mode oscillations of the dual-mode solar heat pump air conditioning unit caused by small fluctuations in the trigger index, improving the equipment's operational stability and service life, while ensuring a reasonable match between heat source response, terminal behavior, and environmental conditions.

[0023] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0024] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution.

[0025] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0026] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A multi-region centralized cooling and heating time-sharing and zone-based intelligent scheduling and control method, characterized in that, Includes the following steps: S1: Collect basic relevant data, including indoor air temperature, user target temperature, outdoor air temperature, and real-time water flow; combine the basic relevant data with the nominal water flow to generate a thermal comfort adjustable index; the thermal comfort adjustable index is used to quantify the comfort margin that the space can provide under the current thermal conditions, and the larger the thermal comfort adjustable index value, the more significant the overheating of the space. S2: Collect hydrothermal characteristic parameters, including supply and return water pressure difference, real-time water flow rate, system average supply water temperature, and terminal inlet water temperature; combine the characteristic parameters with the benchmark resistance coefficient and temperature calibration range to generate a hydrodynamic advantage index; the hydrodynamic advantage index represents the hydraulic status in the pipeline system. S3: Collect action timing parameters, including the position of the flow regulating device in the current time period, the action range of the flow regulating device, the cumulative revenue of the previous round, and the position of the flow regulating device in the previous time period. The time-series parameters, along with the thermal comfort adjustable index and hydrodynamic advantage indicators, jointly generate the active energy-saving contribution value. S4: Combines standardized benchmark quantities with outdoor solar irradiance, standard irradiance and radiation modulation function, and generates a switching trigger index together with active energy saving contribution value and previous round cumulative benefit indicators; The calculated switching trigger index is compared with the preset high and low thresholds. If the switching trigger index is greater than the high threshold, the device switches to the solar thermal storage priority mode. If the switching trigger index is less than the low threshold, it switches to the high-efficiency supplementary heating mode. In other cases, the current operating mode is maintained, forming a hysteresis control.

2. The intelligent scheduling and control method for multi-region centralized cooling and heating systems according to claim 1, characterized in that: The thermal comfort adjustable index is calculated using the following formula: in: The thermal comfort index is adjustable. Indoor air temperature; For the user's target temperature; Outdoor air temperature; Real-time water flow rate; Nominal water flow rate; For temperature difference ratio, molecules This indicates the extent to which the indoor temperature exceeds the set value; a positive value indicates overheating. The denominator... This reflects the maximum temperature difference that needs to be overcome to maintain the set temperature under the current climate conditions, and is used for normalization. This refers to the flow rate ratio.

3. The intelligent scheduling and control method for multi-region centralized cooling and heating systems according to claim 2, characterized in that: The adjustable thermal comfort index is used to quantify the comfort margin that users can provide in the current thermal environment of the room where the terminal device is located. The room's thermal state is determined based on the value of the adjustable thermal comfort index: when the adjustable thermal comfort index is greater than zero, it indicates that the room is overheated, and the larger the value, the higher the energy-saving potential of closing the regulating valve; when the adjustable thermal comfort index is equal to zero, the room temperature just meets the set value, and the valve closing action is not performed; when the adjustable thermal comfort index is less than zero, the room has not reached the set temperature, and comfort should be prioritized.

4. The intelligent scheduling and control method for multi-region centralized cooling and heating systems according to claim 1, characterized in that: The hydrodynamic advantage index is calculated using the following formula: in: Indicators of hydrodynamic advantages; The pressure difference between supply and return water; Real-time water flow rate; The reference drag coefficient; The average water supply temperature of the system; This refers to the inlet water temperature at the end. Temperature calibration range; The value represents the relative impedance; the larger the value, the more advantageous the hydraulic location. This is a temperature correction factor; when the terminal inlet water temperature is higher than the system average supply water temperature, If negative, the temperature correction factor is greater than 1, increasing the value. .

5. The intelligent scheduling and control method for multi-region centralized cooling and heating systems according to claim 4, characterized in that: The values ​​of the hydrodynamic dominance index are divided into three ranges—high, medium, and low—by defining thresholds, respectively representing the hydraulic position and regulatory contribution value of the terminal device in the pipeline network. When the hydrodynamic dominance index value is greater than the first threshold, it indicates that the terminal is located near the end of the pipeline network, and the valve closing action has the highest contribution value to improving the hydraulic balance of the entire network. When the hydrodynamic dominance index value is less than the second threshold, it indicates that the terminal is located far from the network, and the regulatory behavior has a weak impact on the hydraulic distribution, with a low contribution value. When the hydrodynamic dominance index value is between the first and second thresholds, it represents that the terminal is at the average hydraulic position, and the regulatory behavior has a general contribution.

6. The intelligent scheduling and control method for multi-region centralized cooling and heating systems according to claim 1, characterized in that: The active energy-saving contribution value is calculated using the following formula: in: Contribution value to proactive energy conservation; This is the accumulated profit from the previous round; As the conversion factor, a preset constant is used to map the product to standard return points; The range of motion; , This indicates the location of the flow regulation device for this time period. This refers to the position of the flow regulating device in the previous time period; if This indicates that the user has rotated the regulating valve towards the closed direction, thus reducing the valve opening; if This indicates that the valve is not activated or is moving in the opening direction.

7. The intelligent scheduling and control method for multi-region centralized cooling and heating systems according to claim 6, characterized in that: The active energy-saving contribution value is evaluated by combining the thermal comfort adjustable index and the hydrodynamic advantage index to perform a dual-weighted assessment of the user's valve-closing behavior. Only when there is a superheat margin and the terminal is located in a hydraulically advantageous position can the valve-closing action obtain a higher contribution value. An incremental accumulation mechanism is adopted, and a positive contribution is generated only when the valve moves in the closing direction. Opening the valve or keeping it stationary does not deduct existing points. The active energy-saving contribution value is directly connected to the energy-saving trading service platform, and users can use it for electricity bill deduction, point transfer, and to obtain additional rewards, forming a positive feedback loop for continuous energy saving. At the same time, the system summarizes the change in contribution value of each terminal as the input to drive the switching of the heat source operation mode.

8. The intelligent scheduling and control method for multi-region centralized cooling and heating systems according to claim 1, characterized in that: The switching trigger index is calculated using the following formula: in: To switch trigger index; This represents the difference between the active energy-saving contribution value in the current control cycle and the active energy-saving contribution value in the previous control cycle. The new contribution of each end in this cycle; Standardized benchmark values; The irradiance modulation function value is obtained by formula... Perform calculations; where Outdoor solar irradiance; Rated solar irradiance; The irradiance ratio represents the ratio of the current solar radiation intensity to the rated intensity.

9. The intelligent scheduling and control method for multi-region centralized cooling and heating systems according to claim 8, characterized in that: The irradiance modulation function maps the measured solar irradiance to a modulation coefficient between 0.5 and 1.

5. First, the irradiance ratio is calculated and limited to the range of 0-1 using a minimum value function to avoid excessive amplification from strong sunlight. Then, the saturation ratio is linearly mapped to 0.5-1.5: 0.5 is output when there is no sunlight, and 1.5 is output when the irradiance reaches or exceeds the rated value, exhibiting a linear relationship. The irradiance modulation function acts as a multiplicative factor in the switching trigger index, weighting the solar energy resources. The stronger the sunlight, the larger the irradiance modulation function value, resulting in a higher switching trigger index for the same end-point energy-saving behavior intensity, and a greater tendency for the system to switch to the solar thermal storage priority mode. On cloudy days and at night, the modulation factor decreases to around 0.5, but still retains response sensitivity.

10. The intelligent scheduling and control method for multi-region centralized cooling and heating systems according to claim 9, characterized in that: The switching trigger index is compared with preset high and low thresholds. When the switching trigger index is greater than the high threshold, it indicates that the intensity of active valve closing behavior by end users in the entire system is significant and the solar irradiance is sufficient. The system has a large load reduction trend and renewable energy utilization space. At this time, the dual-condition heat pump unit is controlled to switch to the solar thermal storage priority mode. When the switching trigger index is less than the low threshold, it indicates that the user's energy-saving behavior is less, the solar energy resources are insufficient, and the overall demand at the end is rising. At this time, the dual-condition solar heat pump air conditioning unit is switched to the high-efficiency heat supplementation mode. When the switching trigger index is between the low and high thresholds, the system maintains the current operating mode and does not perform any switching action.

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