Method for increasing temperature of medium at tail end of heat supply pipe network through steam reheating

Abstract

The invention discloses a method for increasing the temperature of a medium at the tail end of a heat supply pipe network through steam reheating, and relates to the technical field of computer process.The method comprises the following steps that a reheating station is arranged in the tail end area of a heat supply main line, and the reheating station is connected with a high-temperature steam section of the main line through a steam branch pipe; high-temperature steam is introduced from the steam branch pipe to serve as a reheating heat source, and local reheating is conducted on the main heat supply medium with the temperature reduced after long-distance conveying; the temperature sensor arranged at the outlet of the reheating station is used for monitoring the temperature of the heated medium in real time, the opening degree of the adjusting valve on the steam branch pipe is controlled based on monitoring result feedback, the steam flow is adjusted, and the temperature of the tail end medium is stabilized within the set range. Through the synergistic effect of the dynamic intelligent regulation and control model and the efficient heat exchange and energy recovery system, accurate temperature control of the medium at the tail end of the heat supply pipe network is achieved.

Description

Technical Field

[0001] This invention relates to the field of computer processing technology, and in particular to a method for increasing the temperature of the medium at the end of a heating network by using steam reheating. Background Technology

[0002] With the continuous expansion of urban areas, centralized heating systems are widely used due to their high efficiency and environmental friendliness. In traditional steam or high-temperature water heating networks, the heat medium travels from the heat source to distant users via distribution networks. During this long-distance transmission, despite insulation measures, the heat medium inevitably experiences heat loss along the way due to the temperature difference with the environment, causing its temperature and enthalpy to gradually decrease. This problem is particularly prominent at the end of the network, resulting in the medium temperature at the end users failing to meet the needs of production processes or high-standard heating, especially in cold weather, severely affecting heating quality and user comfort. Currently, common solutions to this problem include increasing the outlet temperature or pressure of the heat source plant's initial station. However, this leads to the entire network system operating under higher parameters, significantly increasing the overall energy consumption and operating costs of the heat source, and placing higher demands on the network's pressure resistance and safety, resulting in poor economic efficiency and safety. Another localized solution is to build small heat exchange stations or boiler rooms at the end for secondary heating, but this increases the system's complexity, initial investment, and land area, and may involve environmental issues such as fuel storage and exhaust emissions.

[0003] Therefore, there is a contradiction in the existing technology: either improve the terminal parameters at the cost of high global energy consumption, or add complex and potentially environmentally unfriendly auxiliary heat sources at the terminal. Summary of the Invention

[0004] To address the aforementioned technical problems, the present invention provides a method for raising the temperature of the medium at the end of a heating network using steam reheating, the method comprising the following steps: A reheating station is set up at the end of the heating trunk line, and the reheating station is connected to the high-temperature steam section of the trunk line through a steam branch pipe. High-temperature steam is introduced from the steam branch pipe as a reheat source to locally reheat the main heating medium whose temperature has dropped after long-distance transportation. The temperature of the heated medium is monitored in real time by a temperature sensor installed at the outlet of the reheat station. Based on the monitoring results, the opening of the regulating valve on the steam branch pipe is controlled to regulate the steam flow and keep the end medium temperature stable within the set range.

[0005] Preferably, the reheat station is equipped with a plate and shell heat exchanger, wherein the primary steam channel adopts a variable diameter design to enhance condensation heat transfer, and the secondary medium channel adopts corrugated plates to increase turbulence. When reheating is performed, high-temperature steam introduced from the steam branch pipe enters the primary side of the heat exchange device, while the cooled main heating medium from the end of the main line flows into the secondary side of the heat exchange device. The two exchange heat in a non-contact manner within the heat exchange device. The high-temperature steam releases its latent heat of vaporization in stages within the variable-diameter channel and then condenses into high-temperature condensate. The main heating medium is then uniformly heated to the target temperature under the turbulence formed by the corrugated plates.

[0006] Preferably, the system also includes recovering the high-temperature condensate to the return water system of the heat source or heating system through a recovery system equipped with a flash tank. The flash tank flashes a portion of the high-temperature condensate into low-pressure steam and returns it to the inlet of the main heating medium for preheating.

[0007] Preferably, the step also includes constructing and applying a reheat regulation model, specifically including: Obtain multi-dimensional historical data of the heating network, including historical operation data, historical terminal temperature data, and historical reheat operation records; Based on the records of sudden changes in medium flow rate and temperature gradient changes in the historical operating data, the initial model for reheat control is dynamically updated. Based on the spatiotemporal correlation between the pipeline network topology and historical terminal temperature data, the updated reheat control initial model is optimized to obtain the reheat control model. Based on the deviation and trend of the end medium temperature from the set value monitored in real time, the reheat control model predictively outputs fuzzy control commands for the opening of the regulating valve.

[0008] Preferably, the dynamic parameter update of the initial model for reheat control includes: Obtain the initial design parameters of the heating network and the pipe resistance characteristic coefficients during actual operation; Based on the pipe resistance characteristic coefficient and real-time load demand, the transient characteristics and optimal control parameters of the heating system are dynamically extracted. Based on the seasonal load patterns and weather sensitivity coefficients in the historical operating data, the transient characteristics and optimal control parameters are corrected online to obtain heating characteristics and control parameters with time adaptability. The initial model for reheat control is updated on a rolling basis using the time-adaptive features and parameters.

[0009] Preferably, the topology optimization of the updated reheat regulation initial model includes: Identify the first control node in the updated model corresponding to the historical low temperature zone and resolve its pipe network topology distance from the heat source; Based on the steam consumption efficiency in the historical reheat operation record and the updated heating characteristics and control parameters of the first control node, the feature differences and parameter deviations are obtained, and the adjustment weights are corrected based on the pipeline topology distance to obtain the first corrected features and the first corrected parameters. Based on the aforementioned characteristic differences and parameter deviations, and combined with the medium flow velocity and heat diffusion rate in the pipeline network, the spatiotemporal dynamic influence attenuation coefficient on the second control node adjacent to the first control node is determined. Based on the aforementioned characteristic differences, parameter deviations, and spatiotemporal dynamic influence attenuation coefficients, and considering the real-time load rate of the second control node, the heating characteristics and control parameters of the second control node are adjusted to obtain the second corrected characteristics and the second corrected parameters. Based on the first correction feature, the first correction parameter, the second correction feature, and the second correction parameter, the initial model for reheat regulation is topologically optimized to obtain a reheat regulation model with spatiotemporal prediction capabilities.

[0010] Preferably, determining the spatiotemporal dynamic influence attenuation coefficient includes: Based on the thermal impact persistence of the aforementioned characteristic differences and the thermal inertia parameters of the pipeline network, the first spatiotemporal impact attenuation coefficient is determined; Based on the deviation range of the parameter deviation and the medium flow rate, the corresponding second spatiotemporal influence attenuation coefficient is obtained by querying the preset dynamic influence factor table; The spatiotemporal dynamic influence attenuation coefficient is calculated based on the first spatiotemporal influence attenuation coefficient and the second spatiotemporal influence attenuation coefficient, and by introducing a real-time environmental temperature compensation factor.

[0011] Preferably, updating the parameters of the initial model for reheat regulation includes: Obtain the initial design parameters of the heating network; Based on the initial design parameters, extract the heating characteristics and their initial control parameters; Based on the initial design parameters, heating characteristics, and initial control parameters, the initial model for reheat regulation is constructed, wherein the model contains multiple control nodes; Based on the historical operating data, the heating characteristics and initial control parameters are added, deleted, or modified to obtain the updated heating characteristics and control parameters. The initial model for reheat regulation is updated using the updated heating characteristics and control parameters.

[0012] Preferably, the control of the opening degree of the regulating valve on the steam branch pipe based on monitoring results feedback includes: When the monitored temperature of the heated medium is higher than the set range, the control valve is reduced to decrease the steam flow rate, and the opening of the pressure relief valve of the flash tank is dynamically adjusted according to the temperature overshoot. When the monitored temperature of the heated medium is lower than the set range, the control valve is opened to increase the steam flow rate, and the auxiliary heating device of the flash tank is started simultaneously to reheat the condensate.

[0013] The present invention has at least the following beneficial effects: It can not only adjust based on real-time feedback, but also predict heat load changes in advance and intervene proactively through dynamic parameter updates and rolling optimization. It overcomes the adjustment lag problem caused by the large thermal inertia of the pipeline network in traditional control, keeps the terminal temperature fluctuation within a very small range, and avoids excessive energy consumption, achieving a balance between precision and energy saving.

[0014] This ensures the full and phased release of the latent heat of high-temperature steam, while the flash tank converts the residual energy in the high-temperature condensate into usable low-pressure steam for preheating the feed water. This not only significantly improves the thermal efficiency of the entire reheat process but also enables the system to dynamically allocate thermal energy according to end-user demand, achieving on-demand, tiered, and efficient energy utilization.

[0015] By introducing topology optimization and a spatiotemporal dynamic impact attenuation coefficient, the heating network is viewed as a dynamic, interconnected whole, rather than isolated nodes. This allows for precise quantification of the spatiotemporal impact of adjustments at a particular node on surrounding nodes, enabling collaborative optimization. It effectively addresses various complex operating conditions such as sudden changes in medium flow, rapid drops in ambient temperature, and partial load operation, demonstrating exceptional adaptability and stability—something that simple control methods or single-technology improvements cannot achieve. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0017] Figure 1 This is a flowchart of a method for increasing the temperature of the medium at the end of a heating network using steam reheat, as provided in Embodiment 1 of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices. Example 1

[0020] This embodiment provides a method for increasing the temperature of the medium at the end of a heating network using steam reheating. The method includes the following steps: Figure 1 As shown: A reheating station is set up at the end of the heating trunk line, and the reheating station is connected to the high-temperature steam section of the trunk line through a steam branch pipe. Furthermore, the aforementioned reheat station is equipped with a plate-shell heat exchanger, in which the primary steam passage adopts a variable diameter design to enhance condensation heat transfer, while the secondary medium passage uses corrugated plates to increase turbulence. When reheating is implemented, high-temperature steam introduced from the steam branch pipe enters the primary side of the heat exchange device, while the cooled main heating medium from the end of the main line flows into the secondary side of the heat exchange device. The two exchange heat in a non-contact manner within the heat exchange device. The high-temperature steam releases its latent heat of vaporization in stages within the variable-diameter channel and then condenses into high-temperature condensate. The main heating medium is then uniformly heated to the target temperature under the turbulence formed by the corrugated plates.

[0021] Specifically, within the reheat station, the core technological path to achieving efficient energy transfer lies in employing plate-and-shell heat exchangers with specialized optimization of their flow channels. A variable-diameter design is used in the primary-side steam channel to regulate the steam flow state and pressure distribution by altering the channel cross-sectional dimensions. When steam enters the converging section, the velocity increases and the pressure decreases, enhancing turbulence. Upon entering the expanding section, some kinetic energy is converted into pressure energy. This process effectively disrupts the condensate film formed on the pipe wall, significantly reducing thermal resistance and thus enhancing condensation heat transfer efficiency. Corrugated plates are used in the secondary-side medium channel. By periodically changing the channel shape, strong vortices and secondary flows are generated in the flowing primary heating medium, greatly increasing the disturbance and mixing of fluid micro-particles, thereby disrupting the temperature boundary layer and increasing the degree of turbulence.

[0022] During reheating, the organization of the process fluid embodies a highly efficient thermal energy utilization logic. High-temperature steam drawn from the steam branch pipe is introduced into a primary side channel with a variable diameter design. Its flow process involves staged pressure reduction and condensation, thereby releasing the latent heat of vaporization in an orderly and sufficient manner. Simultaneously, the cooled main heating medium from the end of the main line is pumped into a secondary side channel composed of corrugated plates. Under complex turbulent conditions, the convective heat transfer coefficient between the medium and the heat exchange wall is significantly improved. The two exchange heat non-contactly through the metal wall in the heat exchange device, ultimately achieving the condensation of high-temperature steam into high-temperature condensate, while the main heating medium is uniformly and rapidly heated to the preset target temperature. Example 2

[0023] Based on the above embodiment one, this embodiment introduces high-temperature steam from the steam branch pipe as a reheat heat source to locally reheat the main heating medium whose temperature has dropped after long-distance transportation; Furthermore, the high-temperature condensate is recovered to the heat source or the return water system of the heating system through a recovery system equipped with a flash tank. The flash tank flashes part of the high-temperature condensate into low-pressure steam and leads it back to the inlet of the main heating medium for preheating.

[0024] Secondly, the control of the opening degree of the regulating valve on the steam branch pipe based on the feedback of monitoring results includes: When the monitored temperature of the heated medium is higher than the set range, the control valve is reduced to decrease the steam flow rate, and the opening of the pressure relief valve of the flash tank is dynamically adjusted according to the temperature overshoot. When the monitored temperature of the heated medium is lower than the set range, the control valve is opened to increase the steam flow rate, and the auxiliary heating device of the flash tank is started simultaneously to reheat the condensate.

[0025] Specifically, through refined management and tiered utilization of energy flow, a significant improvement in system energy efficiency was achieved. The specific implementation is as follows: after reheating the main heating medium, the high-temperature condensate discharged from the primary side of the heat exchanger is not simply recycled, but introduced into a recovery system equipped with a flash tank. The flash tank, as a key pressure-changing device, is maintained at a low pressure significantly lower than the inlet water pressure. When the high-temperature, high-pressure condensate enters the flash tank through a pressure-reducing valve, due to the sudden pressure drop, some of the condensate absorbs its own sensible heat and rapidly undergoes secondary boiling, flashing into low-pressure saturated steam. This newly generated low-pressure steam is transported by a dedicated ejector pipe to the inlet end before the main heating medium enters the reheat station heat exchanger, preheating the low-temperature medium to be heated. The remaining unvaporized high-temperature condensate is reliably pumped back to the heat source or merged into the return water main of the heating system, completing the closed-loop circulation of the working fluid.

[0026] Furthermore, when the temperature sensor detects that the temperature of the heated medium is higher than the set range, the control system first executes main loop regulation—reducing the opening of the regulating valve on the steam branch pipe to decrease the input of high-temperature steam. Simultaneously, the system initiates coordinated control based on the magnitude of the temperature deviation (overshoot): dynamically increasing the opening of the pressure relief valve of the flash tank. This operation rapidly reduces the pressure inside the tank, causing more high-temperature condensate to flash into low-pressure steam instantly. Since the flash evaporation process requires the absorption of a large amount of latent heat of vaporization, this process effectively creates a heat source within the system, effectively assisting the main loop in cooling regulation. Conversely, when the monitored temperature is lower than the set range, while increasing the opening of the regulating valve, the system simultaneously activates the auxiliary heating device (such as an electric heater) of the flash tank to replenish the heat of the condensate inside, ensuring that even when the main steam heating is insufficient, a stable and sufficient amount of low-pressure steam can be generated to preheat the incoming water, forming a dual heating guarantee. Example 3

[0027] Based on the above embodiments one and two, the temperature of the heated medium is monitored in real time by a temperature sensor installed at the outlet of the reheat station, and the opening of the regulating valve on the steam branch pipe is controlled based on the monitoring results to regulate the steam flow and stabilize the end medium temperature within the set range.

[0028] It also includes the steps of constructing and applying a reheat regulation model, specifically including: Obtain multi-dimensional historical data of the heating network, including historical operation data, historical terminal temperature data, and historical reheat operation records; Based on the records of sudden changes in medium flow rate and temperature gradient in historical operating data, the initial model for reheat control is dynamically updated with parameters. Based on the spatiotemporal correlation between the pipeline topology and historical terminal temperature data, the updated reheat control initial model is optimized to obtain the reheat control model. Based on the deviation and trend of the terminal medium temperature from the setpoint monitored in real time, the reheat control model predictively outputs fuzzy control commands for the opening of the regulating valve. This involves comprehensively acquiring multi-dimensional historical data of the heating network, including operational data such as pipeline pressure and flow rate, end-user temperature records, and specific parameters of each reheat operation, forming a complete historical database. On this basis, the model analyzes the records of sudden changes in medium flow rate and the corresponding temperature gradient changes in the historical data, updating the dynamic parameters of the initial model in real time to accurately reflect the transient characteristics of the system. More importantly, the model combines the physical topology of the network to analyze the spatiotemporal correlation between temperature changes at different nodes, optimizing the model's topology to understand the propagation patterns of thermal disturbances in the network. Finally, in real-time control, the model not only predictively outputs fuzzy control commands for the opening of the regulating valve based on the deviation between the current temperature and the setpoint, but also on the temperature trend.

[0029] Furthermore, the initial model for reheat control is dynamically updated, including: Obtain the initial design parameters of the heating network and the pipe resistance characteristic coefficients during actual operation; Based on the pipe resistance characteristic coefficient and real-time load demand, the transient characteristics of the heating system and its optimal control parameters are dynamically extracted. Based on the seasonal load patterns and weather sensitivity coefficients in historical operating data, the transient characteristics and optimal control parameters are corrected online to obtain heating characteristics and control parameters with time adaptability. The initial model for reheat regulation is updated on a rolling basis using time-adaptive features and parameters.

[0030] The system first integrates the original design parameters of the heating network with the actual pipe resistance characteristic coefficients obtained through real-time data analysis to establish an accurate basic physical model of the system. Then, based on the real-time changes in load demand and network resistance characteristics, it dynamically identifies and extracts the transient characteristics of the system under the current operating conditions and their corresponding optimal control parameters. More importantly, based on historical data accumulated over a long period of operation, the system deeply mines the seasonal load change patterns and the system's sensitivity to external weather. Through these time-series characteristics, it performs online correction and compensation of transient characteristics and control parameters, thereby obtaining a set of intelligent control parameters that can autonomously adjust with seasonal changes and weather variations, exhibiting time adaptability. Finally, the system uses these continuously optimized parameters to continuously update the initial model of reheat regulation, ensuring that the model always remains synchronized with the actual operating state of the system.

[0031] Secondly, the above-mentioned topology optimization of the updated reheat regulation initial model includes: Identify the first control node in the updated model corresponding to the historical low temperature zone and resolve its pipe network topology distance from the heat source; Based on the steam consumption efficiency in the historical reheat operation records and the updated heating characteristics and control parameters of the first control node, the feature differences and parameter deviations are obtained, and the adjustment weights are corrected based on the pipeline topology distance to obtain the first corrected features and the first corrected parameters. Based on the differences in characteristics and parameter deviations, combined with the flow velocity and thermal diffusion rate of the medium in the pipeline network, the spatiotemporal dynamic influence attenuation coefficient on the second control node adjacent to the first control node is determined. Based on the characteristic differences, parameter deviations, and spatiotemporal dynamic influence attenuation coefficients, and considering the real-time load rate of the second control node, the heating characteristics and control parameters of the second control node are adjusted to obtain the second corrected characteristics and second corrected parameters. Based on the first correction feature, the first correction parameter, the second correction feature, and the second correction parameter, the initial model for reheat regulation is topologically optimized to obtain a reheat regulation model with spatiotemporal prediction capabilities.

[0032] Specifically, firstly, based on dynamic updates, the model accurately identifies the first control node corresponding to the historical low-temperature zone and analyzes its distance from the heat source via the pipe network topology. This precisely locates the abstract low-temperature problem on the physical network. Next, the system retrieves steam consumption efficiency data from historical reheat operation records, compares it with the current model parameters of the first control node, obtains feature differences and parameter deviations, and innovatively introduces pipe network topology distance as a weight correction factor. This allows nodes farther from the heat source to receive higher adjustment priority, thereby obtaining accurate first-correction features and parameters.

[0033] More importantly, the model can predict the chain reactions triggered by regulatory actions in the pipeline network. By comprehensively analyzing characteristic differences and parameter deviations, combined with real-time monitoring of medium flow velocity and the thermal diffusion rate of pipeline materials, it calculates a precise spatiotemporal dynamic impact attenuation coefficient. This coefficient quantifies the impact intensity of adjustments at the first control node on its adjacent second control node. Based on this, the model further considers the real-time load rate of the second node itself, collaboratively correcting its parameters to obtain the second corrected features and parameters. Finally, through systematic optimization of these interconnected node parameters, the model completes the upgrade from isolated point control to networked collaborative control.

[0034] Furthermore, in the above embodiments, determining the spatiotemporal dynamic influence attenuation coefficient includes: The first spatiotemporal influence attenuation coefficient is determined based on the persistence of thermal effects due to characteristic differences and the thermal inertia parameters of the pipeline network. Based on the deviation range of the parameter deviation and the medium flow rate, the corresponding second spatiotemporal influence attenuation coefficient is obtained by querying the preset dynamic influence factor table; Based on the first and second spatiotemporal influence attenuation coefficients, and by introducing a real-time ambient temperature compensation factor, the spatiotemporal dynamic influence attenuation coefficient is calculated.

[0035] Furthermore, the above-mentioned parameter updates to the initial model for reheat regulation include: Obtain the initial design parameters of the heating network; Based on the initial design parameters, extract the heating characteristics and their initial control parameters; Based on the initial design parameters, heating characteristics and initial control parameters, an initial model for reheat regulation is constructed, which includes multiple control nodes. Based on historical operating data, heating characteristics and initial control parameters are added, deleted, or modified to obtain updated heating characteristics and control parameters. The initial model for reheat regulation was updated using the updated heating characteristics and control parameters.

[0036] Specifically, based on the duration of the thermal impact of characteristic differences and the thermal inertia physical parameters of the pipeline network itself, a first spatiotemporal impact attenuation coefficient reflecting the inherent response characteristics of the system is calculated. Simultaneously, according to the severity of parameter deviations and the actual flow velocity of the medium in the pipeline network, a preset dynamic impact factor table is consulted to obtain a second spatiotemporal impact attenuation coefficient reflecting the propagation characteristics of the impact under the current operating conditions. Finally, real-time ambient temperature is introduced as a compensation factor, and the two coefficients are weighted and combined to obtain a dynamic coefficient that can accurately quantify the spatiotemporal attenuation law of the control behavior. The implementation of this complex calculation process enables the system to accurately predict the cascading effects of adjustments at any node on the surrounding area.

[0037] Regarding model parameter updates, the system has established a complete iterative mechanism from basic construction to continuous optimization: based on the initial design parameters of the heating network, key heating characteristics are extracted and initial control parameters are set to construct an initial model for reheat regulation containing multiple control nodes; subsequently, based on long-term accumulated historical operating data, machine learning algorithms are used to intelligently add, delete, and correct heating characteristics and control parameters to obtain updated characteristics and parameters that better match the actual operating conditions; finally, these optimized parameters are used to continuously update the initial model to ensure that the model always remains synchronized with the actual system.

[0038] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for raising the temperature of the medium at the end of a heating network using steam reheating, characterized in that, The method includes the following steps: A reheating station is set up at the end of the heating trunk line, and the reheating station is connected to the high-temperature steam section of the trunk line through a steam branch pipe. High-temperature steam is introduced from the steam branch pipe as a reheat source to locally reheat the main heating medium whose temperature has dropped after long-distance transportation. The temperature of the heated medium is monitored in real time by a temperature sensor installed at the outlet of the reheat station. Based on the monitoring results, the opening of the regulating valve on the steam branch pipe is controlled to regulate the steam flow and keep the end medium temperature stable within the set range.

2. The method for raising the temperature of the medium at the end of a heating network using steam reheating according to claim 1, characterized in that, The reheat station is equipped with a plate and shell heat exchanger. The primary steam passage adopts a variable diameter design to enhance condensation heat transfer, while the secondary medium passage adopts corrugated plates to increase turbulence. When reheating is performed, high-temperature steam introduced from the steam branch pipe enters the primary side of the heat exchange device, while the cooled main heating medium from the end of the main line flows into the secondary side of the heat exchange device. The two exchange heat in a non-contact manner within the heat exchange device. The high-temperature steam releases its latent heat of vaporization in stages within the variable-diameter channel and then condenses into high-temperature condensate. The main heating medium is then uniformly heated to the target temperature under the turbulence formed by the corrugated plates.

3. The method for raising the temperature of the medium at the end of a heating network using steam reheating according to claim 2, characterized in that, It also includes recovering the high-temperature condensate to the return water system of the heat source or heating system through a recovery system equipped with a flash tank. The flash tank flashes part of the high-temperature condensate into low-pressure steam and leads it back to the inlet of the main heating medium for preheating.

4. The method for raising the temperature of the medium at the end of a heating network using steam reheating according to claim 1, characterized in that, It also includes the steps of constructing and applying a reheat regulation model, specifically including: Obtain multi-dimensional historical data of the heating network, including historical operation data, historical terminal temperature data, and historical reheat operation records; Based on the records of sudden changes in medium flow rate and temperature gradient changes in the historical operating data, the initial model for reheat control is dynamically updated. Based on the spatiotemporal correlation between the pipeline network topology and historical terminal temperature data, the updated reheat control initial model is optimized to obtain the reheat control model. Based on the deviation and trend of the end medium temperature from the set value monitored in real time, the reheat control model predictively outputs fuzzy control commands for the opening of the regulating valve.

5. A method for raising the temperature of the medium at the end of a heating network using steam reheating according to claim 4, characterized in that, The dynamic parameter update of the initial model for reheat control includes: Obtain the initial design parameters of the heating network and the pipe resistance characteristic coefficients during actual operation; Based on the pipe resistance characteristic coefficient and real-time load demand, the transient characteristics and optimal control parameters of the heating system are dynamically extracted. Based on the seasonal load patterns and weather sensitivity coefficients in the historical operating data, the transient characteristics and optimal control parameters are corrected online to obtain heating characteristics and control parameters with time adaptability. The initial model for reheat control is updated on a rolling basis using the time-adaptive features and parameters.

6. A method for raising the temperature of the medium at the end of a heating network using steam reheating according to claim 5, characterized in that, The topology optimization of the updated reheat control initial model includes: Identify the first control node in the updated model corresponding to the historical low temperature zone and resolve its pipe network topology distance from the heat source; Based on the steam consumption efficiency in the historical reheat operation record and the updated heating characteristics and control parameters of the first control node, the feature differences and parameter deviations are obtained, and the adjustment weights are corrected based on the pipeline topology distance to obtain the first corrected features and the first corrected parameters. Based on the aforementioned characteristic differences and parameter deviations, and combined with the medium flow velocity and heat diffusion rate in the pipeline network, the spatiotemporal dynamic influence attenuation coefficient on the second control node adjacent to the first control node is determined. Based on the aforementioned characteristic differences, parameter deviations, and spatiotemporal dynamic influence attenuation coefficients, and considering the real-time load rate of the second control node, the heating characteristics and control parameters of the second control node are adjusted to obtain the second corrected characteristics and the second corrected parameters. Based on the first correction feature, the first correction parameter, the second correction feature, and the second correction parameter, the initial model for reheat regulation is topologically optimized to obtain a reheat regulation model with spatiotemporal prediction capabilities.

7. A method for raising the temperature of the medium at the end of a heating network using steam reheating according to claim 6, characterized in that, The determination of the spatiotemporal dynamic influence attenuation coefficient includes: Based on the thermal impact persistence of the aforementioned characteristic differences and the thermal inertia parameters of the pipeline network, the first spatiotemporal impact attenuation coefficient is determined; Based on the deviation range of the parameter deviation and the medium flow rate, the corresponding second spatiotemporal influence attenuation coefficient is obtained by querying the preset dynamic influence factor table; The spatiotemporal dynamic influence attenuation coefficient is calculated based on the first spatiotemporal influence attenuation coefficient and the second spatiotemporal influence attenuation coefficient, and by introducing a real-time environmental temperature compensation factor.

8. A method for raising the temperature of the medium at the end of a heating network using steam reheating according to claim 7, characterized in that, The parameter update of the initial model for reheat regulation includes: Obtain the initial design parameters of the heating network; Based on the initial design parameters, extract the heating characteristics and their initial control parameters; Based on the initial design parameters, heating characteristics, and initial control parameters, the initial model for reheat regulation is constructed, wherein the model contains multiple control nodes; Based on the historical operating data, the heating characteristics and initial control parameters are added, deleted, or modified to obtain the updated heating characteristics and control parameters. The initial model for reheat regulation is updated using the updated heating characteristics and control parameters.

9. A method for raising the temperature of the medium at the end of a heating network using steam reheating according to claim 3, characterized in that, The control of the opening degree of the regulating valve on the steam branch pipe based on monitoring results feedback includes: When the monitored temperature of the heated medium is higher than the set range, the control valve is reduced to decrease the steam flow rate, and the opening of the pressure relief valve of the flash tank is dynamically adjusted according to the temperature overshoot. When the monitored temperature of the heated medium is lower than the set range, the control valve is opened to increase the steam flow rate, and the auxiliary heating device of the flash tank is started simultaneously to reheat the condensate.

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