Solar molten salt freezing recycling solar flux control method and system

Abstract

This invention relates to the field of solar thermal energy storage technology, and discloses a method and system for controlling solar flux recovery through molten salt freezing. The method includes: performing fluid-solid topology mapping on the spatial topology data of a target solar field pipeline to obtain a residual molten salt site map; performing solidification phase change process deduction on the target solar field pipeline to obtain time-series evolution data; dynamically defining segments of the target solar field pipeline to obtain controlled heating segments; performing flux projection encoding on the controlled heating segments to obtain focusing control commands; performing thermo-mechanical coupling analysis on the controlled heating segments to obtain transient thermal stress field distribution data; comparing the transient thermal stress field distribution data with a preset stress gradient constraint threshold point by point; and adjusting the heating parameters of the controlled heating segments in real time based on the comparison results to obtain the phase change melting products of the residual molten salt in the controlled heating segments. This invention can improve the efficiency of solar flux recovery through molten salt freezing.

Description

Technical Field

[0001] This invention relates to the field of solar thermal energy storage technology, and in particular to a method and system for controlling solar flux recovery through solar molten salt freezing. Background Technology

[0002] In the field of solar thermal energy storage technology, molten salt, as the core heat transfer and energy storage medium, is prone to residue formation and freezing during the evacuation process of solar field pipelines. Existing technologies for controlling solar flux recovery from molten salt freezing lack the ability to perform fluid-solid topology mapping analysis on pipeline spatial topology data, making it impossible to accurately obtain molten salt residue site maps. The deduction of the molten salt solidification phase change process relies solely on conventional temperature monitoring data, making it difficult to accurately locate the solidification spatiotemporal origin and dynamically track the solid phase expansion trajectory. This results in a lack of scientific temporal evolution data to support the definition of heating sections, causing a mismatch between the solar flux delivery sections and the actual molten salt freezing situation, leading to low overall efficiency in molten salt freezing recovery.

[0003] Existing methods for controlling solar flux in molten salt freezing and recovery lack a complete thermo-mechanical coupling analytical system. During the process of heating molten salt with solar flux, it is impossible to accurately obtain transient thermal stress field distribution data of the controlled heating section of the pipeline, and there is no point-by-point comparison mechanism for stress gradient constraint thresholds. The adjustment of heating parameters lacks real-time stress data guidance, which can easily lead to situations where the local heating flux is too high or too low. This may damage the solar field pipeline structure due to excessive thermal stress and result in incomplete melting of residual molten salt. At the same time, the focusing control of solar flux lacks precise coding of multi-mirror collaboration, which further reduces the utilization efficiency of solar flux and the stability of molten salt freezing and recovery. Therefore, how to improve the control efficiency of solar flux in solar molten salt freezing and recovery has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a method and system for controlling solar flux recovery through solar molten salt freezing, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides a method for controlling solar flux through solar molten salt freezing and recovery, comprising: S01. Perform fluid-structure topology mapping on the spatial topology data of the target solar field pipeline to obtain the molten salt residue site map of the target solar field pipeline; S02. Based on the molten salt residual site map, the solidification phase change process of the target solar field pipeline is simulated to obtain the time-series evolution data of the target solar field pipeline. S03. Based on the time-series evolution data, the target solar field pipeline is dynamically segmented to obtain the controlled heating section of the target solar field pipeline; S04. Perform flux projection encoding on the controlled heating section to obtain the focusing control command for the controlled heating section; S05. Based on the focusing control command, perform thermo-mechanical coupling analysis on the controlled heating section to obtain the transient thermal stress field distribution data of the controlled heating section; S06. The transient thermal stress field distribution data is compared point by point with the preset stress gradient constraint threshold, and the heating parameters of the controlled heating section are adjusted in real time based on the comparison results to obtain the phase change melting product of the residual molten salt in the controlled heating section.

[0006] In a preferred embodiment, the step of performing fluid-structure topology mapping on the spatial topology data of the target solar field pipeline to obtain a molten salt residue site map of the target solar field pipeline includes: Spatial orientation survey of the target solar field pipeline was conducted to obtain the geometric configuration data of the target solar field pipeline; Based on the geometric configuration data, node association analysis is performed on the target solar field pipeline to obtain the connection relationship of the target solar field pipeline. Based on the connection relationship and the geometric configuration data, the target solar field pipeline is topologically coupled to obtain the spatial topology data of the target solar field pipeline. Based on the spatial topology data, thermal boundary mapping is performed on the target solar field pipeline to obtain the heat flux distribution section of the target solar field pipeline; Based on the heat flux distribution section, flow residue analysis is performed on the target solar field pipeline to obtain the molten salt retention distribution characteristics of the target solar field pipeline; Based on the molten salt retention distribution characteristics, geometric distortion identification is performed on the target solar field pipeline to obtain the structural irregularity location data of the target solar field pipeline; The molten salt retention distribution characteristics are spatially superimposed and mapped with the structural irregularity point data to obtain the molten salt residue site map of the target solar field pipeline.

[0007] In a preferred embodiment, the step of extrapolating the solidification phase transition process of the target solar field pipeline based on the molten salt residual site map to obtain the time-series evolution data of the target solar field pipeline includes: Based on the molten salt residual site map, the residual morphology of the target solar field pipeline is traced back after emptying to obtain the initial molten salt occurrence state of the target solar field pipeline; Based on the initial state of the molten salt, the environmental heat dissipation non-uniformity of the target solar field pipeline is measured to obtain the differentiated cooling rate of the target solar field pipeline. Based on the differentiated cooling rate, the nucleation origin is coupled and located to obtain the solidification spatiotemporal origin of the target solar field pipeline by performing nucleation origin coupling positioning on the initial occurrence state of the molten salt. Based on the solidification spacetime origin, the solidification front propagation of the target solar energy field pipeline is deduced to obtain the solid phase expansion trajectory of the target solar energy field pipeline. Phase change latent heat attenuation compensation is performed on the solid-phase expansion trajectory to obtain the time-series evolution data of the target solar field pipeline.

[0008] In a preferred embodiment, the step of performing nucleation origin coupling and positioning on the initial occurrence state of the molten salt based on the differentiated cooling rate to obtain the solidification spatiotemporal origin of the target solar field pipeline includes: Spatial gradient analysis of the differentiated cooling rates yields the spatial distribution of supercooling in the target solar field pipeline. By performing flux divergence mapping on the differentiated cooling rates, the heat flux divergence distribution of the target solar field pipeline is obtained; Based on the initial state of the molten salt, the mass space of the target solar field pipeline is interpreted to obtain the residual molten salt mass density of the target solar field pipeline; Based on the spatial distribution of supercooling and the mass density of residual molten salt, the nucleation triggering potential of the target solar field pipeline is calculated, wherein the formula for calculating the nucleation triggering potential is: ; In the formula, The target solar field pipeline in spatial coordinates At any time The nucleation triggering potential value, The spatial coordinates of the supercooling spatial distribution At any time The supercooling value, Spatial coordinates in the mass density of the residual molten salt The mass density value at that location, As a preset positive constant, Spatial coordinates in the heat flux divergence distribution At any time The thermal divergence value, It is a natural exponential function. The nucleation activation energy is the residual molten salt phase transition energy in the target solar field pipeline. The preset gas constant, The theoretical freezing point temperature of the molten salt in the target solar field pipeline. This is the absolute value operator; A global extremum search is performed on the nucleation triggering potential value to obtain the extremum spatiotemporal coordinates of the nucleation triggering potential value, and the extremum spatiotemporal coordinates are used as the solidification spatiotemporal origin of the target solar field pipeline.

[0009] In a preferred embodiment, the step of dynamically segmenting the target solar field pipeline based on the time-series evolution data to obtain the controlled heating section of the target solar field pipeline includes: The spatial location of the solidification front is obtained by performing spatial positioning on the time-series evolution data to obtain the time-series solidification front position of the target solar field pipeline; Based on the time-series solidification front position, the heating urgency of the target solar field pipeline is assessed to obtain the heating priority sequence of the target solar field pipeline; Based on the heating priority sequence, the energy supply range of the target solar field pipeline is selected to obtain the heating boundary of the target solar field pipeline; A thermal impact buffer zone is defined for the heating boundary to obtain the controlled heating section of the target solar field pipeline.

[0010] In a preferred embodiment, the step of performing flux projection encoding on the controlled heating section to obtain the focusing control command for the controlled heating section includes: The heat flux density requirement of the controlled heating section is derived to obtain the energy input density distribution of the controlled heating section; Based on the energy projection density distribution, the mirror field projection capability of the controlled heating section is matched, and based on the matching result, the resources of the controlled heating section are arranged to obtain the mirror resource allocation scheme of the controlled heating section. The focusing parameters of the aforementioned mirror resource allocation scheme are encoded to obtain the single-mirror focusing control command for the controlled heating section. The single-mirror focusing control command is programmed in a multi-mirror collaborative manner to obtain the focusing control command for the controlled heating section.

[0011] In a preferred embodiment, the step of performing thermo-mechanical coupling analysis on the controlled heating section based on the focusing control command to obtain transient thermal stress field distribution data of the controlled heating section includes: The energy delivery pattern of the focusing control command is analyzed to obtain the instantaneous heat flow injection spatial distribution of the controlled heating section; Based on the instantaneous heat flow injection spatial distribution, heat conduction tracking is performed on the controlled heating section to obtain the spatiotemporal evolution data of the controlled heating section; Based on the spatiotemporal evolution data, thermal expansion strain analysis is performed on the controlled heating section to obtain the spatial distribution of thermal strain in the controlled heating section; The constraint stiffness of the material mechanical properties of the controlled heating section is identified to obtain the mechanical boundary constraint data of the controlled heating section. Based on the spatial distribution of thermal strain and the mechanical boundary constraint data, the controlled heating section is subjected to mechanical-thermal correlation analysis to obtain the transient thermal stress field distribution data of the controlled heating section.

[0012] In a preferred embodiment, the step of comparing the transient thermal stress field distribution data with a preset stress gradient constraint threshold point by point, and adjusting the heating parameters of the controlled heating section in real time based on the comparison results to obtain the phase change melting products of the residual molten salt in the controlled heating section, includes: Spatial point stress is extracted from the transient thermal stress field distribution data to obtain the spatial point stress amplitude of the controlled heating section; The stress amplitude at each spatial point is compared with the preset stress gradient constraint threshold to identify points exceeding the limit, thereby obtaining the spatial distribution of the points exceeding the limit in the transient thermal stress field distribution data. Based on the spatial distribution of the over-limit points, the stress hotspots in the controlled heating section are geometrically located to obtain the centroid coordinates and spatial range of the stress hotspots in the controlled heating section. Based on the centroid coordinates of the stress hotspot and the spatial range of the hotspot, the controlled heating section is spatially decoupled and adjusted. Based on the adjustment result, the controlled heating section is continuously supplied with energy to obtain the phase change melting product of the residual molten salt in the controlled heating section.

[0013] In a preferred embodiment, the controlled heating section is spatially decoupled and adjusted based on the centroid coordinates of the stress hotspot and the spatial range of the hotspot, and based on the adjustment result, the controlled heating section is continuously supplied with energy to obtain the phase change melting product of the residual molten salt in the controlled heating section, including: Based on the centroid coordinates of the stress hotspot and the spatial range of the hotspot, the distance to the surrounding points of the controlled heating section is quantified to obtain the spatial distance of the controlled heating section; Based on the stress amplitude at the spatial point and the stress gradient constraint threshold, the stress margin of the controlled heating section is determined to obtain the stress margin value of the controlled heating section. Based on the spatial distance and the stress margin value, the energy receiving coefficient of the controlled heating section is calculated, wherein the formula for calculating the energy receiving coefficient is: ; In the formula, The first in the controlled heating section Energy reception coefficient at each spatial point The stress gradient constraint threshold is... The first of the spatial point stress amplitudes Stress values ​​at each point, The preset distance weighting coefficients are used. The first in the spatial distance The numerical value of the distance from each point to the centroid of the stress hotspot. The preset stress attenuation coefficient, It is a natural exponential function; Based on the energy receiving coefficient, the energy distribution of the controlled heating section is reconstructed to obtain the heat flow distribution scheme of the controlled heating section; Based on the heat flow distribution scheme, a continuous flow injection is performed on the controlled heating section to obtain the continuous heating state of the controlled heating section; Based on the continuous heating state, the phase change state of the residual molten salt is confirmed to obtain the phase change melting product of the residual molten salt in the controlled heating section.

[0014] To address the above problems, the present invention also provides a solar molten salt freezing and recovery solar flux control system, the system comprising: The topology mapping analysis module is used to perform fluid-structure topology mapping on the spatial topology data of the target solar field pipeline to obtain the molten salt residue site map of the target solar field pipeline. The phase change process simulation module is used to simulate the solidification phase change process of the target solar field pipeline based on the molten salt residual site map, and obtain the time-series evolution data of the target solar field pipeline. The heating section definition module is used to dynamically define the target solar field pipeline based on the time-series evolution data, so as to obtain the controlled heating section of the target solar field pipeline; The flux projection encoding module is used to perform flux projection encoding on the controlled heating section to obtain the focusing control command of the controlled heating section; Thermodynamic coupling analysis module is used to perform thermodynamic coupling analysis on the controlled heating section based on the focusing control command, and obtain transient thermal stress field distribution data of the controlled heating section; The stress control and adaptation module is used to compare the transient thermal stress field distribution data with the preset stress gradient constraint threshold point by point, and based on the comparison results, to adjust the heating parameters of the controlled heating section in real time, so as to obtain the phase change melting product of the residual molten salt in the controlled heating section.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention accurately obtains the residual molten salt site map through fluid-solid topology mapping, and obtains time-series evolution data by deducing the solidification phase change process. This enables the dynamic and accurate definition of the controlled heating section. Then, the accurate generation of focusing control commands is completed through flux projection coding, so that the solar flux delivery is highly matched with the actual location and state of molten salt freezing, which greatly improves the utilization efficiency of solar flux. At the same time, it enables targeted heating of residual molten salt, effectively improving the overall efficiency and accuracy of molten salt freezing and recovery.

[0016] 2. This invention constructs a complete thermo-mechanical coupling analysis system, which can accurately acquire transient thermal stress field distribution data of the controlled heating section. By comparing it point by point with the preset stress gradient constraint threshold, and combining it with the energy receiving coefficient, the heating parameters can be adjusted in real time and with precision. This effectively avoids damage to the solar field pipeline structure caused by excessive thermal stress, ensuring the operational safety of the pipeline system. It also enables reasonable energy distribution and replenishment, ensuring that the residual molten salt undergoes sufficient phase transformation and melting, and improving the stability and reliability of the molten salt freezing and recovery process. Attached Figure Description

[0017] Figure 1 A schematic flowchart of a solar flux control method for solar molten salt freezing and recovery provided in an embodiment of the present invention; Figure 2 A functional block diagram of a solar flux recovery control system for molten salt freezing is provided in one embodiment of the present invention. The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0019] This application provides a method for controlling solar flux recovery through molten salt freezing. The executing entity of this method includes, but is not limited to, at least one electronic device configured to execute the method provided in this application, such as a server or a terminal. In other words, the method can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cluster of cloud servers. The server can be an independent server or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0020] Reference Figure 1 The diagram shown is a flowchart illustrating a method for controlling solar flux recovery through molten salt freezing according to an embodiment of the present invention. In this embodiment, the method for controlling solar flux recovery through molten salt freezing includes: S01. Perform fluid-structure topology mapping on the spatial topology data of the target solar field pipeline to obtain the molten salt residue site map of the target solar field pipeline; In this embodiment of the invention, the step of performing fluid-structure topology mapping on the spatial topology data of the target solar field pipeline to obtain the molten salt residue site map of the target solar field pipeline includes: Spatial orientation survey of the target solar field pipeline was conducted to obtain the geometric configuration data of the target solar field pipeline; Based on the geometric configuration data, node association analysis is performed on the target solar field pipeline to obtain the connection relationship of the target solar field pipeline. Based on the connection relationship and the geometric configuration data, the target solar field pipeline is topologically coupled to obtain the spatial topology data of the target solar field pipeline. Based on the spatial topology data, thermal boundary mapping is performed on the target solar field pipeline to obtain the heat flux distribution section of the target solar field pipeline; Based on the heat flux distribution section, flow residue analysis is performed on the target solar field pipeline to obtain the molten salt retention distribution characteristics of the target solar field pipeline; Based on the molten salt retention distribution characteristics, geometric distortion identification is performed on the target solar field pipeline to obtain the structural irregularity location data of the target solar field pipeline; The molten salt retention distribution characteristics are spatially superimposed and mapped with the structural irregularity point data to obtain the molten salt residue site map of the target solar field pipeline.

[0021] A full-dimensional spatial orientation survey of the target solar field pipeline is conducted. Physical characteristic information such as the actual spatial location, orientation angle, pipe diameter, and pipe segment connection form of the pipeline is collected segment by segment along the pipeline's extension path. All collected information is systematically organized and standardized according to the actual pipeline layout order, ultimately forming complete geometric configuration data of the target solar field pipeline.

[0022] Based on the geometric configuration data of the target solar field pipeline, the locations of the connection nodes between the pipeline segments are sorted out, and the number of pipe segments connected to each connection node, the type of pipe segments, and the spatial intersection of the pipe segments at the node are clarified. At the same time, the inherent attributes of each node and the extension direction of the pipe segments are marked. Through the comprehensive sorting and accurate confirmation of the association information of all nodes and pipe segments, the connection relationship of the target solar field pipeline is finally obtained.

[0023] The connection relationship and geometric configuration data of the target solar field pipeline are deeply integrated. The association information of each node in the connection relationship is matched to the corresponding pipe segment and spatial location in the geometric configuration data. The spatial morphology information of the pipeline and the node connection information are fully integrated to form a comprehensive data system that combines pipeline geometric features and node association features. Finally, the spatial topology data of the target solar field pipeline is obtained.

[0024] Based on the spatial topology data of the target solar field pipeline, combined with the actual environmental conditions of the pipeline and the basic laws of heat transfer, the heat transfer boundary range corresponding to different pipe sections is divided, the heat flux transfer intensity and transfer range characteristics of each pipe section in the actual operation process are clarified, and the heat flux related characteristics are partitioned and systematically organized according to the actual spatial distribution of the pipe sections, so as to finally obtain the heat flux distribution section of the target solar field pipeline.

[0025] Based on the heat flux distribution sections of the target solar field pipeline, the fluid flow state and molten salt retention patterns in the pipeline within different heat flux zones are analyzed. The flow trajectory and actual residence location of the molten salt in the pipeline are tracked throughout the entire process. The retention morphology and specific distribution range of the molten salt at each location are recorded in detail. All information related to molten salt retention is comprehensively summarized and its characteristics are extracted to finally obtain the molten salt retention distribution characteristics of the target solar field pipeline.

[0026] Based on the molten salt retention distribution characteristics of the target solar field pipeline, and in accordance with the standard geometric shape of the pipeline design, the actual geometric shape of the pipeline corresponding to each molten salt retention position is checked one by one. The morphological deviation positions appearing in the pipeline are accurately identified, and the spatial coordinates, morphology, and range of the deviation positions are recorded in detail. All the identified morphological deviation point information is systematically organized and standardized, and finally the structural irregular point data of the target solar field pipeline is obtained.

[0027] The molten salt retention distribution characteristics of the target solar field pipeline and the data on the location of the irregular structural features are placed in the same spatial reference system. The information of each location in the data on the irregular structural features is accurately matched to the spatial location corresponding to the molten salt retention distribution characteristics. The distribution state of molten salt retention and the location distribution of the irregular pipeline structure are superimposed to present the distribution state of molten salt retention and the location distribution of the irregular pipeline structure. The spatial distribution map that combines the characteristics of molten salt retention and the characteristics of irregular structural features is integrated to finally obtain the molten salt residue site map of the target solar field pipeline.

[0028] The beneficial effects include: the geometric configuration data generated through comprehensive surveying and systematic organization can fully present the actual physical characteristics of the pipeline, providing a precise foundation for subsequent analysis; the identified connection relationships can clearly define the association status of each node and pipe segment, achieving accurate presentation of connection information; the spatial topology data formed by integrating connection relationships and geometric configuration data integrates multi-dimensional pipeline characteristics, making the comprehensive characteristic data of the pipeline more complete; the heat flux distribution sections divided according to actual conditions can accurately match the actual heat transfer characteristics of the pipeline, providing a scientific basis for molten salt retention analysis; and the analysis and tracking of molten salt retention distribution characteristics and structural irregularity point data can accurately present the molten salt retention state and pipeline structural deviations. The molten salt residue site map formed by spatial superposition can comprehensively and accurately show the spatial distribution of molten salt residue in the pipeline, providing accurate and detailed spatial data support for subsequent molten salt freezing and recovery analysis.

[0029] S02. Based on the molten salt residual site map, the solidification phase change process of the target solar field pipeline is simulated to obtain the time-series evolution data of the target solar field pipeline. In this embodiment of the invention, the step of extrapolating the solidification phase transition process of the target solar field pipeline based on the molten salt residual site map to obtain the time-series evolution data of the target solar field pipeline includes: Based on the molten salt residual site map, the residual morphology of the target solar field pipeline is traced back after emptying to obtain the initial molten salt occurrence state of the target solar field pipeline; Based on the initial state of the molten salt, the environmental heat dissipation non-uniformity of the target solar field pipeline is measured to obtain the differentiated cooling rate of the target solar field pipeline. Based on the differentiated cooling rate, the nucleation origin is coupled and located to obtain the solidification spatiotemporal origin of the target solar field pipeline by performing nucleation origin coupling positioning on the initial occurrence state of the molten salt. Based on the solidification spacetime origin, the solidification front propagation of the target solar energy field pipeline is deduced to obtain the solid phase expansion trajectory of the target solar energy field pipeline. Phase change latent heat attenuation compensation is performed on the solid-phase expansion trajectory to obtain the time-series evolution data of the target solar field pipeline.

[0030] The step of coupling and locating the nucleation origin of the initial occurrence state of the molten salt based on the differentiated cooling rate to obtain the solidification spatiotemporal origin of the target solar field pipeline includes: Spatial gradient analysis of the differentiated cooling rates yields the spatial distribution of supercooling in the target solar field pipeline. By performing flux divergence mapping on the differentiated cooling rates, the heat flux divergence distribution of the target solar field pipeline is obtained; Based on the initial state of the molten salt, the mass space of the target solar field pipeline is interpreted to obtain the residual molten salt mass density of the target solar field pipeline; Based on the spatial distribution of supercooling and the mass density of residual molten salt, the nucleation triggering potential of the target solar field pipeline is calculated, wherein the formula for calculating the nucleation triggering potential is: ; In the formula, The target solar field pipeline in spatial coordinates At any time The nucleation triggering potential value, The spatial coordinates of the supercooling spatial distribution At any time The supercooling value, Spatial coordinates in the mass density of the residual molten salt The mass density value at that location, As a preset positive constant, Spatial coordinates in the heat flux divergence distribution At any time The thermal divergence value, It is a natural exponential function. The nucleation activation energy is the residual molten salt phase transition energy in the target solar field pipeline. The preset gas constant, The theoretical freezing point temperature of the molten salt in the target solar field pipeline. This is the absolute value operator; A global extremum search is performed on the nucleation triggering potential value to obtain the extremum spatiotemporal coordinates of the nucleation triggering potential value, and the extremum spatiotemporal coordinates are used as the solidification spatiotemporal origin of the target solar field pipeline.

[0031] Based on the molten salt residue site map, the entire process of emptying the molten salt residue area of ​​the target solar field pipeline is traced back to reconstruct the flow stopping position, stagnation form, distribution range and occurrence mode of molten salt during the pipeline emptying stage. These reconstructed molten salt residue related information are systematically organized and standardized and recorded to finally obtain the initial occurrence state of molten salt in the target solar field pipeline.

[0032] Based on the initial state of molten salt, and combined with the actual heat dissipation environment factors such as ambient temperature, ventilation conditions, and radiation intensity in each area of ​​the target solar field pipeline, the heat dissipation at different locations of the pipeline is detected and quantified point by point. The differences in heat dissipation rate in each area of ​​the pipeline are distinguished and the specific heat dissipation rate of each area is recorded, and finally the differentiated cooling rate of the target solar field pipeline is obtained.

[0033] Spatial gradient analysis of the differential cooling rates was performed. The variation trend and spatial distribution characteristics of the cooling rate at each location were analyzed segment by segment along the spatial extension direction of the target solar field pipeline. Combined with the correlation between the temperature change of molten salt and the cooling rate, the supercooling value at each spatial location of the pipeline was determined and recorded according to the spatial location. Finally, the spatial distribution of supercooling of the target solar field pipeline was obtained.

[0034] Flux divergence mapping is performed on the differentiated cooling rates. Based on the differentiated cooling rates of each region of the pipeline, the divergence and convergence of heat flux at each location are analyzed. The specific characteristics of heat flux divergence at each spatial location of the pipeline are clarified and marked and recorded according to spatial coordinates. Finally, the heat flux divergence distribution of the target solar field pipeline is obtained.

[0035] Based on the initial state of molten salt, the mass of molten salt at each spatial location of the target solar field pipeline is detected and its distribution is analyzed. The mass of residual molten salt per unit space at each location of the pipeline is determined and recorded systematically according to spatial location. Finally, the mass density of residual molten salt in the target solar field pipeline is obtained.

[0036] Based on the spatial distribution of supercooling and the mass density of residual molten salt, combined with the relevant characteristics of heat flux distribution, a comprehensive analysis and judgment of the nucleation triggering potential characteristics of the target solar field pipeline at each spatial location and time is carried out. The specific state of the nucleation triggering potential at each spatial location and time is clarified and the numerical determination and recording are completed, and finally the nucleation triggering potential value of the target solar field pipeline is obtained.

[0037] A global extreme value search is performed on the nucleation triggering potential value, covering the entire spatial range and time dimension of the target solar field pipeline to screen the nucleation triggering potential values ​​at all spatial locations at all times, filter out the extreme values ​​and determine the spatial coordinates and time nodes corresponding to the extreme values, and finally obtain the extreme spatiotemporal coordinates of the nucleation triggering potential value, and use the extreme spatiotemporal coordinates of the nucleation triggering potential value directly as the solidification spatiotemporal origin of the target solar field pipeline.

[0038] Based on the solidification spacetime origin, combined with the solidification characteristics of molten salt and the spatial distribution characteristics of the target solar field pipeline, the propagation direction, expansion speed and coverage of the molten salt solid phase in the pipeline from the solidification spacetime origin are tracked, and the specific spatial distribution location of the solid phase at different time points is recorded, so as to obtain the solid phase expansion trajectory of the target solar field pipeline.

[0039] Phase change latent heat attenuation compensation is performed on the solid phase expansion trajectory. Combined with the release and attenuation law of phase change latent heat during molten salt solidification, the solid phase expansion state at different time nodes and different spatial locations in the solid phase expansion trajectory is corrected and compensated. The compensated solid phase expansion related information is systematically organized in chronological order to finally obtain the time-series evolution data of the target solar field pipeline.

[0040] The spatial distribution of supercooling is obtained by spatial gradient analysis of the differentiated cooling rates. Specifically, the trend and spatial distribution characteristics of the cooling rate at each location are analyzed segment by segment along the spatial extension direction of the target solar field pipeline. Combined with the correlation between the temperature change of molten salt and the cooling rate, the supercooling values ​​at each spatial location of the pipeline are determined and recorded according to spatial location. The mass density of residual molten salt is obtained by mass spatial interpretation of the initial occurrence state of molten salt. Specifically, the mass of molten salt at each spatial location of the target solar field pipeline is detected and its distribution is analyzed. The mass of residual molten salt per unit space at each location of the pipeline is determined and recorded systematically according to spatial location. The heat flux distribution is obtained by flux divergence mapping of the differentiated cooling rates. Specifically, the divergence and convergence state of heat flux at each location is analyzed based on the differentiated cooling rates of each region of the pipeline. The specific characteristics of heat flux divergence at each spatial location of the pipeline are clarified and marked and recorded according to spatial coordinates. The preset positive constants are directly preset, the preset gas constants are directly preset, the nucleation activation energy comes from the inherent properties of the phase change of residual molten salt in the target solar field pipeline, and the theoretical freezing point temperature comes from the inherent properties of molten salt in the target solar field pipeline.

[0041] The process of determining the nucleation trigger potential value integrates information from multiple aspects, including the spatial distribution of supercooling, the mass density of residual molten salt, the distribution of heat flux dissipation, and the inherent properties of molten salt phase transition. It comprehensively reflects the potential trend of molten salt solidification and nucleation at various spatial locations and times within the target solar field pipeline. This provides a quantitative basis for subsequently investigating and screening the extreme spatiotemporal coordinates of the nucleation trigger potential value across the entire spatial range and time dimension of the pipeline, thus laying the foundation for accurately locating the spatiotemporal origin of solidification in the target solar field pipeline.

[0042] When the supercooling value at a certain spatial location in the target solar field pipeline increases, the nucleation triggering potential value at that location will also increase. When the residual molten salt mass density at a certain spatial location in the target solar field pipeline increases, the nucleation triggering potential value at that location will also increase. When the heat flux dissipation value at a certain spatial location in the target solar field pipeline increases, the nucleation triggering potential value at that location will also decrease. When the nucleation activation energy of the phase transition of the residual molten salt in the target solar field pipeline increases, the nucleation triggering potential value at each spatial location and at each time in the pipeline will also decrease. When the theoretical freezing point temperature of the molten salt in the target solar field pipeline increases, the nucleation triggering potential value at each spatial location and at each time in the pipeline will also increase.

[0043] The beneficial effects include: the initial occurrence state of molten salt obtained through the backtracking of the evacuation process can accurately reconstruct the initial location, morphology, and distribution of molten salt residue within the pipeline, laying a precise foundation for subsequent solidification phase transformation analysis. Differential cooling rates can clearly present the heat dissipation differences in various regions of the pipeline. Combined with the spatial distribution of supercooling and heat flux distribution obtained from its analysis, and in conjunction with the residual molten salt mass density, it can provide a comprehensive and realistic basis for the analysis and determination of nucleation triggering potential, achieving precise positioning of the solidification spatiotemporal origin. The solid phase expansion trajectory deduced based on this origin can clearly show the propagation and expansion state of the molten salt solid phase. The time-series evolution data formed after compensation for latent heat of phase transformation can completely and accurately reflect the spatiotemporal changes of molten salt solidification phase transformation within the pipeline, providing detailed and accurate time-series data support for the dynamic definition of subsequent controlled heating sections of the pipeline.

[0044] By clearly defining the sources and acquisition methods of each element, the determination process of the nucleation triggering potential value is ensured to have clear basis and traceability, guaranteeing that the value closely matches the actual operating conditions of the target solar field pipeline. The determination process of the nucleation triggering potential value integrates multi-dimensional key information, accurately reflecting the potential trend of molten salt nucleation within the pipeline, providing solid quantitative support for locating the solidification spacetime origin. Clear numerical change trends clearly demonstrate the influence of each element on the nucleation triggering potential, making the location logic of the solidification spacetime origin clearer, ultimately ensuring the accuracy of the solidification phase transition process deduction, and providing a reliable time-series data foundation for the subsequent definition of controlled heating sections.

[0045] S03. Based on the time-series evolution data, the target solar field pipeline is dynamically segmented to obtain the controlled heating section of the target solar field pipeline; In this embodiment of the invention, the step of dynamically defining the target solar field pipeline based on the time-series evolution data to obtain the controlled heating section of the target solar field pipeline includes: The spatial location of the solidification front is obtained by performing spatial positioning on the time-series evolution data to obtain the time-series solidification front position of the target solar field pipeline; Based on the time-series solidification front position, the heating urgency of the target solar field pipeline is assessed to obtain the heating priority sequence of the target solar field pipeline; Based on the heating priority sequence, the energy supply range of the target solar field pipeline is selected to obtain the heating boundary of the target solar field pipeline; A thermal impact buffer zone is defined for the heating boundary to obtain the controlled heating section of the target solar field pipeline.

[0046] A comprehensive analysis of the time-series evolution data was conducted, and the boundary information of molten salt solid phase expansion at different time points was extracted. The specific location coordinates of the solidification front in the target solar field pipeline space were marked at each time point. The spatial location information of the solidification front at all times was integrated in chronological order and systematically organized to finally obtain the time-series solidification front position of the target solar field pipeline.

[0047] By comparing the time-series solidification front advancement status at each location of the target solar field pipeline, the actual progress of molten salt solidification in each pipe section is analyzed. Combined with the advancement speed of the solidification front in each pipe section, the urgency of heating operations in each pipe section is determined. All pipe sections are sorted in descending order of heating urgency to obtain the heating priority sequence of the target solar field pipeline.

[0048] Based on the heating priority sequence of the target solar field pipeline, the range of pipeline sections that need to be given priority for energy delivery is determined. The initial range of energy delivery is delineated in combination with the spatial topological characteristics of the pipeline. The spatial rationality of the initial energy delivery range is verified, and the spatial start and end positions of the energy delivery range are clarified. The energy delivery spatial range determined after verification is the heating boundary of the target solar field pipeline.

[0049] Based on the heating boundary of the target solar field pipeline, and combined with the actual heat transfer characteristics of the pipeline, a heat impact buffer zone is defined by extending the pipeline to the surrounding pipe sections of the heating boundary. The specific spatial boundary of the buffer zone is then defined. The core heating area corresponding to the heating boundary is spatially integrated with the defined heat impact buffer zone to form a complete heating section that combines the core heating area and the buffer area. This integrated section is the controlled heating section of the target solar field pipeline.

[0050] The beneficial effects include: the extraction of the temporal solidification front position from the analysis of time-series evolution data accurately presents the spatial location of the molten salt solidification front at different times, providing an intuitive and detailed basis for assessing the heating urgency. The heating priority sequence derived from the temporal solidification front position allows for the sorting of pipe sections according to heating urgency, ensuring priority treatment of sections with faster molten salt solidification progress and improving the targeting of heating operations. The heating boundary, delineated and verified based on the heating priority sequence, allows for the reasonable determination of the spatial range of energy delivery, avoiding ineffective energy consumption. The controlled heating section, formed by delineating and integrating the heat impact buffer zone based on the heating boundary, ensures precise energy delivery to the core heating area while mitigating excessive heat impact diffusion through the buffer zone, making the heating operation more aligned with the actual pipeline conditions and improving the efficiency and safety of molten salt freezing and recovery.

[0051] S04. Perform flux projection encoding on the controlled heating section to obtain the focusing control command for the controlled heating section; In this embodiment of the invention, the step of performing flux projection encoding on the controlled heating section to obtain the focusing control command for the controlled heating section includes: The heat flux density requirement of the controlled heating section is derived to obtain the energy input density distribution of the controlled heating section; Based on the energy projection density distribution, the mirror field projection capability of the controlled heating section is matched, and based on the matching result, the resources of the controlled heating section are arranged to obtain the mirror resource allocation scheme of the controlled heating section. The focusing parameters of the aforementioned mirror resource allocation scheme are encoded to obtain the single-mirror focusing control command for the controlled heating section. The single-mirror focusing control command is programmed in a multi-mirror collaborative manner to obtain the focusing control command for the controlled heating section.

[0052] A comprehensive analysis was conducted on the spatial range, molten salt residual state, and heat transfer requirements of the controlled heating section. Based on the actual operating characteristics of the controlled heating section, the required heat flux density per unit space in the area was derived segment by segment. The heat flux density requirements of each area were classified, organized, and systematically arranged according to spatial location, and finally the energy input density distribution of the controlled heating section was obtained.

[0053] Based on the distribution of energy delivery density, and by comparing the inherent projection capabilities, installation locations, and orientation characteristics of each reflector in the mirror field, the compatibility between the spatial range that each reflector can cover and the energy delivery density requirements is matched one by one. The effective energy delivery area of ​​each reflector is then determined. Based on the compatibility results, the resource allocation of all reflectors is arranged and organized, and the energy delivery task and range corresponding to each reflector are determined. Finally, the resource allocation scheme of the reflectors in the controlled heating section is obtained.

[0054] Based on the mirror resource allocation scheme, the projection angle, projection distance, and focusing position parameters that each mirror needs to achieve during the energy injection process are determined. These parameters are then standardized and systematically organized according to a unified coding rule to form an independent focusing control command for each mirror, ultimately resulting in a single-mirror focusing control command for the controlled heating section.

[0055] All single-mirror focusing control commands are integrated and arranged, taking into account the overall spatial distribution of the controlled heating section and the temporal characteristics of the energy delivery density distribution. The execution order, execution time, and projection linkage of each single-mirror focusing control command are coordinated to ensure that the projection operations of all reflective mirrors form a coordinated whole, ultimately obtaining the focusing control command for the controlled heating section.

[0056] The beneficial effects include: by combining the energy distribution derived from the actual operating conditions of the controlled heating section, the heat flux density requirements at various locations within the section can be accurately matched, providing a realistic basis for subsequent flux projection. The reflector resource allocation scheme based on this distribution can achieve precise matching between the reflectors and energy projection requirements, clearly defining the energy projection tasks and ranges of each reflector, fully utilizing the reflector projection resources and avoiding waste. The single-mirror focusing control commands, coded according to unified rules, ensure standardized and clear focusing parameters for each reflector, guaranteeing the accuracy of single-mirror projection operations. The focusing control commands, obtained through collaborative programming, can coordinate the projection linkages of each reflector, allowing all mirror projections to form a unified whole, improving the coordination and accuracy of solar flux projection, and providing a suitable energy supply for the controlled heating section.

[0057] S05. Based on the focusing control command, perform thermo-mechanical coupling analysis on the controlled heating section to obtain the transient thermal stress field distribution data of the controlled heating section; In this embodiment of the invention, the step of performing thermo-mechanical coupling analysis on the controlled heating section based on the focusing control command to obtain transient thermal stress field distribution data of the controlled heating section includes: The energy delivery pattern of the focusing control command is analyzed to obtain the instantaneous heat flow injection spatial distribution of the controlled heating section; Based on the instantaneous heat flow injection spatial distribution, heat conduction tracking is performed on the controlled heating section to obtain the spatiotemporal evolution data of the controlled heating section; Based on the spatiotemporal evolution data, thermal expansion strain analysis is performed on the controlled heating section to obtain the spatial distribution of thermal strain in the controlled heating section; The constraint stiffness of the material mechanical properties of the controlled heating section is identified to obtain the mechanical boundary constraint data of the controlled heating section. Based on the spatial distribution of thermal strain and the mechanical boundary constraint data, the controlled heating section is subjected to mechanical-thermal correlation analysis to obtain the transient thermal stress field distribution data of the controlled heating section.

[0058] A comprehensive information analysis of the focusing control commands is conducted, extracting all relevant information such as energy delivery location, delivery intensity, and projection coverage. Based on the spatial coordinate system of the controlled heating section, the heat flow injection information at each location is accurately labeled and integrated. All heat flow injection-related information is systematically organized to obtain the instantaneous heat flow injection spatial distribution of the controlled heating section.

[0059] Based on the spatial distribution of instantaneous heat flow injection, the heat flow transfer and diffusion process in the pipe is tracked point by point along the spatial extension direction of the controlled heating section. The heat flow transfer status and temperature change at each spatial location at different time points are recorded. The heat conduction information at each time point is integrated in combination with the heat transfer characteristics of the pipe. The relevant information is systematically arranged according to time sequence and spatial location to finally obtain the spatiotemporal evolution data of the controlled heating section.

[0060] Based on spatiotemporal evolution data, specific information on temperature changes at different time points in each spatial location is extracted. Combined with the thermal expansion characteristics of the pipe material, the thermal expansion strain state caused by temperature changes at each spatial location is analyzed one by one. The thermal strain characteristics of each location are accurately labeled and organized according to the spatial coordinates of the controlled heating section, and finally the spatial distribution of thermal strain in the controlled heating section is obtained.

[0061] A comprehensive test of the material mechanical properties of the pipeline in the controlled heating section was conducted to clarify the inherent mechanical characteristics of the pipeline material. At the same time, the actual installation and fixing methods of the pipeline and the constraint status at each position were sorted out. The constraint stiffness characteristics of each spatial position in the controlled heating section were analyzed one by one to clarify the specific constraint range and constraint strength of the pipeline mechanical boundary. All constraint-related information was systematically organized to finally obtain the mechanical boundary constraint data of the controlled heating section.

[0062] By precisely matching the spatial distribution of thermal strain with the mechanical boundary constraint data in the same spatial coordinate system, the stress state of each spatial location in the controlled heating section due to the mechanical boundary constraint caused by thermal expansion strain is analyzed one by one. The specific characteristics and distribution of stress at each spatial location are recorded. All stress-related information is systematically integrated and arranged according to spatial coordinates, and finally the transient thermal stress field distribution data of the controlled heating section is obtained.

[0063] The beneficial effects include: the instantaneous heat flow injection spatial distribution obtained by analyzing the focused control commands can accurately present the heat flow injection state at each location in the controlled heating section, providing a precise initial basis for heat conduction tracking. The spatiotemporal evolution data obtained from heat conduction tracking based on this distribution can fully demonstrate the spatiotemporal changes in heat flow transmission and diffusion within the pipeline, clearly reflecting the dynamic temperature changes at each location. The spatial distribution of thermal strain obtained by combining temperature change analysis can accurately present the thermal expansion strain state at each spatial location, while the mechanical boundary constraint data clarifies the mechanical constraint characteristics at each location in the pipeline. The transient thermal stress field distribution data obtained through mechanical-thermal correlation analysis can accurately present the spatial distribution of stress within the section, providing detailed and accurate stress data support for subsequent real-time adjustment of heating parameters, ensuring the safety of the pipeline structure.

[0064] S06. The transient thermal stress field distribution data is compared point by point with the preset stress gradient constraint threshold, and the heating parameters of the controlled heating section are adjusted in real time based on the comparison results to obtain the phase change melting product of the residual molten salt in the controlled heating section. In this embodiment of the invention, the step of comparing the transient thermal stress field distribution data with a preset stress gradient constraint threshold point by point, and adjusting the heating parameters of the controlled heating section in real time based on the comparison results to obtain the phase change melting product of the residual molten salt in the controlled heating section includes: Spatial point stress is extracted from the transient thermal stress field distribution data to obtain the spatial point stress amplitude of the controlled heating section; The stress amplitude at each spatial point is compared with the preset stress gradient constraint threshold to identify points exceeding the limit, thereby obtaining the spatial distribution of the points exceeding the limit in the transient thermal stress field distribution data. Based on the spatial distribution of the over-limit points, the stress hotspots in the controlled heating section are geometrically located to obtain the centroid coordinates and spatial range of the stress hotspots in the controlled heating section. Based on the centroid coordinates of the stress hotspot and the spatial range of the hotspot, the controlled heating section is spatially decoupled and adjusted. Based on the adjustment result, the controlled heating section is continuously supplied with energy to obtain the phase change melting product of the residual molten salt in the controlled heating section.

[0065] The controlled heating section is spatially decoupled and adjusted based on the centroid coordinates of the stress hotspot and the spatial range of the hotspot. Based on the adjustment result, the controlled heating section is continuously supplied with energy to obtain the phase transformation melting products of the residual molten salt in the controlled heating section, including: Based on the centroid coordinates of the stress hotspot and the spatial range of the hotspot, the distance to the surrounding points of the controlled heating section is quantified to obtain the spatial distance of the controlled heating section; Based on the stress amplitude at the spatial point and the stress gradient constraint threshold, the stress margin of the controlled heating section is determined to obtain the stress margin value of the controlled heating section. Based on the spatial distance and the stress margin value, the energy receiving coefficient of the controlled heating section is calculated, wherein the formula for calculating the energy receiving coefficient is: ; In the formula, The first in the controlled heating section Energy reception coefficient at each spatial point The stress gradient constraint threshold is... The first of the spatial point stress amplitudes Stress values ​​at each point, The preset distance weighting coefficients are used. The first in the spatial distance The numerical value of the distance from each point to the centroid of the stress hotspot. The preset stress attenuation coefficient, It is a natural exponential function; Based on the energy receiving coefficient, the energy distribution of the controlled heating section is reconstructed to obtain the heat flow distribution scheme of the controlled heating section; Based on the heat flow distribution scheme, a continuous flow injection is performed on the controlled heating section to obtain the continuous heating state of the controlled heating section; Based on the continuous heating state, the phase change state of the residual molten salt is confirmed to obtain the phase change melting product of the residual molten salt in the controlled heating section.

[0066] The transient thermal stress field distribution data were comprehensively reviewed, and the specific stress values ​​corresponding to each spatial point were extracted point by point according to the spatial coordinate system of the controlled heating section. The extracted stress values ​​were accurately correlated with the corresponding spatial points, and the stress value information of all points was systematically organized to finally obtain the stress amplitude of the spatial points in the controlled heating section.

[0067] The stress values ​​at each spatial point in the stress amplitude are compared with the preset stress gradient constraint threshold to identify all spatial points whose stress values ​​exceed the preset threshold. The specific spatial coordinate information of these over-limit points is recorded. The coordinate information of all over-limit points is integrated according to the spatial distribution characteristics of the controlled heating section to finally obtain the spatial distribution of over-limit points in the transient thermal stress field distribution data.

[0068] Based on the spatial coordinate information of all the stress hotspots in the spatial distribution of the stress hotspots, the geometric center of the stress hotspot region formed by these stress hotspots is determined and the specific coordinates are marked. At the same time, the spatial boundary of the stress hotspot region is delineated to clarify the overall coverage. The centroid coordinates and spatial range information of the stress hotspots are recorded in full, and finally the centroid coordinates and spatial range of the stress hotspots in the controlled heating section are obtained.

[0069] Using the centroid coordinates of the stress hotspot as a reference point, the actual distance from all spatial points within the controlled heating section to this reference point is calculated point by point. The calculated distance values ​​are then accurately correlated with the corresponding spatial points. The distance information of all points is systematically organized according to the spatial coordinate system of the controlled heating section, and finally the spatial distance of the controlled heating section is obtained.

[0070] The preset stress gradient constraint threshold is compared with the stress values ​​of each spatial point in the stress amplitude to determine the specific stress margin value corresponding to each spatial point. This value is then accurately associated with the corresponding spatial point. The stress margin information of all points is integrated according to the spatial coordinates of the controlled heating section to finally obtain the stress margin value of the controlled heating section.

[0071] By combining the spatial distance and stress margin value of the controlled heating section, and based on the distance value and stress margin value of each spatial point, the specific information of the energy receiving coefficient corresponding to each spatial point is determined one by one. The energy receiving coefficient is accurately associated with the corresponding spatial point, and the energy receiving coefficient information of all points is systematically organized according to the spatial coordinate system. Finally, the energy receiving coefficient of each spatial point in the controlled heating section is obtained.

[0072] Based on the energy receiving coefficient of each spatial point within the controlled heating zone, the solar flux intensity and range of each point are replanned. The energy allocation planning information of each point is integrated with the overall heating demand of the zone, the specific requirements for heat flow allocation in different areas are clarified, and all energy allocation planning information is systematically organized into a complete system to finally obtain the heat flow distribution scheme for the controlled heating zone.

[0073] According to the energy input requirements of each region in the heat flow distribution scheme, the matching solar flux is continuously injected into the controlled heating section, and the heat flow injection status and temperature changes of each spatial point in the section are recorded in real time. All real-time status information during the flux injection process is fully integrated to obtain the continuous heating status of the controlled heating section.

[0074] Based on the continuous heating state of the controlled heating section, a comprehensive check of the phase change state of the residual molten salt at each spatial location within the section is performed to confirm whether the molten salt has completed the phase change process from solid to liquid. By integrating the relevant information of all molten salts that have completed the phase change, the phase change melting product of the residual molten salt in the controlled heating section is finally obtained.

[0075] The stress gradient constraint threshold is directly preset. The stress amplitude at spatial points is obtained by extracting the stress at spatial points from the transient thermal stress field distribution data. Specifically, the stress values ​​corresponding to each spatial point are extracted point by point according to the spatial coordinate system of the controlled heating section. The extracted stress values ​​are accurately correlated with the corresponding spatial points. The stress value information of all points is systematically organized. The distance weighting coefficient is directly preset. The spatial distance is obtained by using the centroid coordinates of the stress hotspot as the reference point and calculating the actual distance from each spatial point in the controlled heating section to the reference point. The calculated distance values ​​are accurately correlated with the corresponding spatial points. The distance information of all points is systematically organized according to the spatial coordinate system of the controlled heating section. The stress attenuation coefficient is directly preset, and the natural exponential function is directly used.

[0076] The process of determining the energy receiving coefficient integrates information from multiple aspects, including stress gradient constraint threshold, stress amplitude at spatial points, spatial distance, and preset distance weighting coefficient and stress attenuation coefficient. It comprehensively reflects the energy receiving capacity of each spatial point within the controlled heating section, providing a quantitative basis for subsequent energy distribution reconstruction of the controlled heating section, and thus laying the foundation for accurately formulating heat flow distribution schemes.

[0077] When the stress value at a certain spatial point within the controlled heating zone increases, the energy receiving coefficient at that point decreases accordingly. When the distance from a certain spatial point within the controlled heating zone to the centroid of the stress hotspot increases, the energy receiving coefficient at that point decreases accordingly. When the stress gradient constraint threshold increases, the energy receiving coefficient at each spatial point within the controlled heating zone increases accordingly. When the distance weighting coefficient increases, the energy receiving coefficient at each spatial point within the controlled heating zone decreases accordingly. When the stress attenuation coefficient increases, the energy receiving coefficient at each spatial point within the controlled heating zone decreases accordingly.

[0078] The beneficial effects include the ability to accurately present the stress values ​​at each point in the controlled heating section by extracting the spatial stress amplitude, providing accurate data for identifying stress exceeding limits. The spatial distribution of stress exceeding limits clearly locates all stress-exceeding points, while the location of stress hotspots further clarifies the position and range of the core stress area, providing precise guidance for subsequent adjustments. Spatial distance and stress margin values ​​provide a basis for energy adjustment from the perspectives of distance and stress margin, and the energy receiving coefficient makes the energy receiving needs of each point clearer. Based on this reconstructed heat flow distribution scheme, the rational allocation of solar flux can be achieved, continuous heating ensures precise energy replenishment, and ultimately, the molten salt phase change state is confirmed and the phase change melting products are obtained. This not only enables real-time and precise adjustment of heating parameters, avoiding damage to the pipeline caused by stress exceeding limits, but also allows the residual molten salt to fully melt, improving the overall effect of molten salt freezing and recovery.

[0079] By clearly defining the sources and acquisition methods of each element, the determination process of the energy receiving coefficient is ensured to have clear basis and traceability, guaranteeing that the coefficient closely matches the actual operating conditions of the controlled heating section. The determination process of the energy receiving coefficient integrates multi-dimensional key information, accurately reflecting the energy receiving capacity of each spatial point within the section, providing solid quantitative support for the reconstruction of energy distribution, and thus laying the foundation for the precise formulation of heat flow allocation schemes. Clear coefficient change trends clearly demonstrate the influence of each element on the energy receiving coefficient, making the logic of heat flow allocation scheme formulation clearer, ultimately ensuring the accuracy of heating parameter adjustments. This avoids damage to the pipeline structure caused by excessive stress, achieves reasonable energy distribution and replenishment, and improves the efficiency and stability of molten salt freezing and recovery.

[0080] like Figure 2 The diagram shown is a functional block diagram of a solar molten salt freezing and recovery solar flux control system provided in an embodiment of the present invention.

[0081] The solar flux recovery control system 10 based on the molten salt freezing method of this invention can be installed in an electronic device. Depending on the functions implemented, the solar flux recovery control system 10 may include a topology mapping analysis module 11, a phase change process deduction module 12, a heating zone delineation module 13, a flux projection encoding module 14, a thermo-coupling analysis module 15, and a stress regulation and adaptation module 16. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, and are stored in the memory of the electronic device.

[0082] In this embodiment, the functions of each module / unit are as follows: The topology mapping analysis module 11 is used to perform fluid-structure topology mapping on the spatial topology data of the target solar field pipeline to obtain the molten salt residue site map of the target solar field pipeline. The phase change process simulation module 12 is used to perform solidification phase change process simulation on the target solar field pipeline based on the molten salt residual site map, and obtain the time-series evolution data of the target solar field pipeline. The heating section definition module 13 is used to dynamically define the target solar field pipeline based on the time-series evolution data, so as to obtain the controlled heating section of the target solar field pipeline. The flux projection encoding module 14 is used to perform flux projection encoding on the controlled heating section to obtain the focusing control command of the controlled heating section; The thermo-coupling analysis module 15 is used to perform thermo-coupling analysis on the controlled heating section based on the focusing control command, and obtain the transient thermal stress field distribution data of the controlled heating section. The stress regulation and adaptation module 16 is used to compare the transient thermal stress field distribution data with the preset stress gradient constraint threshold point by point, and based on the comparison results, to adjust the heating parameters of the controlled heating section in real time, so as to obtain the phase change melting product of the residual molten salt in the controlled heating section.

[0083] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0084] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0085] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0086] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0087] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for controlling solar flux recovery through solar molten salt freezing, characterized in that, The method includes: S01. Perform fluid-structure topology mapping on the spatial topology data of the target solar field pipeline to obtain the molten salt residue site map of the target solar field pipeline; S02. Based on the molten salt residual site map, the solidification phase change process of the target solar field pipeline is simulated to obtain the time-series evolution data of the target solar field pipeline. S03. Based on the time-series evolution data, the target solar field pipeline is dynamically segmented to obtain the controlled heating section of the target solar field pipeline; S04. Perform flux projection encoding on the controlled heating section to obtain the focusing control command for the controlled heating section; S05. Based on the focusing control command, perform thermo-mechanical coupling analysis on the controlled heating section to obtain the transient thermal stress field distribution data of the controlled heating section; S06. The transient thermal stress field distribution data is compared point by point with the preset stress gradient constraint threshold, and the heating parameters of the controlled heating section are adjusted in real time based on the comparison results to obtain the phase change melting product of the residual molten salt in the controlled heating section.

2. The method for controlling solar flux recovery through solar molten salt freezing as described in claim 1, characterized in that, The process of performing fluid-structure topology mapping on the spatial topology data of the target solar field pipeline to obtain the molten salt residue site map of the target solar field pipeline includes: Spatial orientation survey of the target solar field pipeline was conducted to obtain the geometric configuration data of the target solar field pipeline; Based on the geometric configuration data, node association analysis is performed on the target solar field pipeline to obtain the connection relationship of the target solar field pipeline. Based on the connection relationship and the geometric configuration data, the target solar field pipeline is topologically coupled to obtain the spatial topology data of the target solar field pipeline. Based on the spatial topology data, thermal boundary mapping is performed on the target solar field pipeline to obtain the heat flux distribution section of the target solar field pipeline; Based on the heat flux distribution section, flow residue analysis is performed on the target solar field pipeline to obtain the molten salt retention distribution characteristics of the target solar field pipeline; Based on the molten salt retention distribution characteristics, geometric distortion identification is performed on the target solar field pipeline to obtain the structural irregularity location data of the target solar field pipeline; The molten salt retention distribution characteristics are spatially superimposed and mapped with the structural irregularity point data to obtain the molten salt residue site map of the target solar field pipeline.

3. The method for controlling solar flux recovery through solar molten salt freezing as described in claim 1, characterized in that, The solidification phase transition process of the target solar field pipeline is simulated based on the molten salt residual site map to obtain the time-series evolution data of the target solar field pipeline, including: Based on the molten salt residual site map, the residual morphology of the target solar field pipeline is traced back after emptying to obtain the initial molten salt occurrence state of the target solar field pipeline; Based on the initial state of the molten salt, the environmental heat dissipation non-uniformity of the target solar field pipeline is measured to obtain the differentiated cooling rate of the target solar field pipeline. Based on the differentiated cooling rate, the nucleation origin is coupled and located to obtain the solidification spatiotemporal origin of the target solar field pipeline by performing nucleation origin coupling positioning on the initial occurrence state of the molten salt. Based on the solidification spacetime origin, the solidification front propagation of the target solar energy field pipeline is deduced to obtain the solid phase expansion trajectory of the target solar energy field pipeline. Phase change latent heat attenuation compensation is performed on the solid-phase expansion trajectory to obtain the time-series evolution data of the target solar field pipeline.

4. The solar flux control method for solar molten salt freezing and recovery as described in claim 3, characterized in that, The step of coupling and locating the nucleation origin of the initial occurrence state of the molten salt based on the differentiated cooling rate to obtain the solidification spatiotemporal origin of the target solar field pipeline includes: Spatial gradient analysis of the differentiated cooling rates yields the spatial distribution of supercooling in the target solar field pipeline. By performing flux divergence mapping on the differentiated cooling rates, the heat flux divergence distribution of the target solar field pipeline is obtained; Based on the initial state of the molten salt, the mass space of the target solar field pipeline is interpreted to obtain the residual molten salt mass density of the target solar field pipeline; Based on the spatial distribution of supercooling and the mass density of residual molten salt, the nucleation triggering potential of the target solar field pipeline is calculated, wherein the formula for calculating the nucleation triggering potential is: ； In the formula, The target solar field pipeline in spatial coordinates At any time The nucleation triggering potential value, The spatial coordinates of the supercooling spatial distribution At any time The supercooling value, Spatial coordinates in the mass density of the residual molten salt The mass density value at that location, As a preset positive constant, Spatial coordinates in the heat flux divergence distribution At any time The thermal divergence value, It is a natural exponential function. The nucleation activation energy is the residual molten salt phase transition energy in the target solar field pipeline. The preset gas constant, The theoretical freezing point temperature of the molten salt in the target solar field pipeline. This is the absolute value operator; A global extremum search is performed on the nucleation triggering potential value to obtain the extremum spatiotemporal coordinates of the nucleation triggering potential value, and the extremum spatiotemporal coordinates are used as the solidification spatiotemporal origin of the target solar field pipeline.

5. The method for controlling solar flux recovery through solar molten salt freezing as described in claim 1, characterized in that, The step of dynamically defining sections of the target solar field pipeline based on the time-series evolution data to obtain the controlled heating section of the target solar field pipeline includes: The spatial location of the solidification front is obtained by performing spatial positioning on the time-series evolution data to obtain the time-series solidification front position of the target solar field pipeline; Based on the time-series solidification front position, the heating urgency of the target solar field pipeline is assessed to obtain the heating priority sequence of the target solar field pipeline; Based on the heating priority sequence, the energy supply range of the target solar field pipeline is selected to obtain the heating boundary of the target solar field pipeline; A thermal impact buffer zone is defined for the heating boundary to obtain the controlled heating section of the target solar field pipeline.

6. The method for controlling solar flux recovery through solar molten salt freezing as described in claim 1, characterized in that, The step of performing flux projection encoding on the controlled heating section to obtain the focusing control command for the controlled heating section includes: The heat flux density requirement of the controlled heating section is derived to obtain the energy input density distribution of the controlled heating section; Based on the energy projection density distribution, the mirror field projection capability of the controlled heating section is matched, and based on the matching result, the resources of the controlled heating section are arranged to obtain the mirror resource allocation scheme of the controlled heating section. The focusing parameters of the aforementioned mirror resource allocation scheme are encoded to obtain the single-mirror focusing control command for the controlled heating section. The single-mirror focusing control command is programmed in a multi-mirror collaborative manner to obtain the focusing control command for the controlled heating section.

7. The method for controlling solar flux recovery through solar molten salt freezing as described in claim 1, characterized in that, The process of performing thermo-mechanical coupling analysis on the controlled heating section based on the focusing control command to obtain transient thermal stress field distribution data of the controlled heating section includes: The energy delivery pattern of the focusing control command is analyzed to obtain the instantaneous heat flow injection spatial distribution of the controlled heating section; Based on the instantaneous heat flow injection spatial distribution, heat conduction tracking is performed on the controlled heating section to obtain the spatiotemporal evolution data of the controlled heating section; Based on the spatiotemporal evolution data, thermal expansion strain analysis is performed on the controlled heating section to obtain the spatial distribution of thermal strain in the controlled heating section; The constraint stiffness of the material mechanical properties of the controlled heating section is identified to obtain the mechanical boundary constraint data of the controlled heating section. Based on the spatial distribution of thermal strain and the mechanical boundary constraint data, the controlled heating section is subjected to mechanical-thermal correlation analysis to obtain the transient thermal stress field distribution data of the controlled heating section.

8. The method for controlling solar flux recovery through solar molten salt freezing as described in claim 1, characterized in that, The step of comparing the transient thermal stress field distribution data with a preset stress gradient constraint threshold point by point, and adjusting the heating parameters of the controlled heating section in real time based on the comparison results, to obtain the phase change melting products of the residual molten salt in the controlled heating section, includes: Spatial point stress is extracted from the transient thermal stress field distribution data to obtain the spatial point stress amplitude of the controlled heating section; The stress amplitude at each spatial point is compared with the preset stress gradient constraint threshold to identify points exceeding the limit, thereby obtaining the spatial distribution of the points exceeding the limit in the transient thermal stress field distribution data. Based on the spatial distribution of the over-limit points, the stress hotspots in the controlled heating section are geometrically located to obtain the centroid coordinates and spatial range of the stress hotspots in the controlled heating section. Based on the centroid coordinates of the stress hotspot and the spatial range of the hotspot, the controlled heating section is spatially decoupled and adjusted. Based on the adjustment result, the controlled heating section is continuously supplied with energy to obtain the phase change melting product of the residual molten salt in the controlled heating section.

9. The solar flux control method for solar molten salt freezing and recovery as described in claim 8, characterized in that, The controlled heating section is spatially decoupled and adjusted based on the centroid coordinates of the stress hotspot and the spatial range of the hotspot. Based on the adjustment result, the controlled heating section is continuously supplied with energy to obtain the phase transformation melting products of the residual molten salt in the controlled heating section, including: Based on the centroid coordinates of the stress hotspot and the spatial range of the hotspot, the distance to the surrounding points of the controlled heating section is quantified to obtain the spatial distance of the controlled heating section; Based on the stress amplitude at the spatial point and the stress gradient constraint threshold, the stress margin of the controlled heating section is determined to obtain the stress margin value of the controlled heating section. Based on the spatial distance and the stress margin value, the energy receiving coefficient of the controlled heating section is calculated, wherein the formula for calculating the energy receiving coefficient is: ； In the formula, The first in the controlled heating section Energy reception coefficient at each spatial point The stress gradient constraint threshold is... The first of the spatial point stress amplitudes Stress values ​​at each point, The preset distance weighting coefficients are used. The first in the spatial distance The numerical value of the distance from each point to the centroid of the stress hotspot. The preset stress attenuation coefficient, It is a natural exponential function; Based on the energy receiving coefficient, the energy distribution of the controlled heating section is reconstructed to obtain the heat flow distribution scheme of the controlled heating section; Based on the heat flow distribution scheme, a continuous flow injection is performed on the controlled heating section to obtain the continuous heating state of the controlled heating section; Based on the continuous heating state, the phase change state of the residual molten salt is confirmed to obtain the phase change melting product of the residual molten salt in the controlled heating section.

10. A solar molten salt freezing and recovery solar flux control system, characterized in that, For implementing the solar flux control method for solar molten salt freezing and recovery as described in claim 1, the system comprises: The topology mapping analysis module is used to perform fluid-structure topology mapping on the spatial topology data of the target solar field pipeline to obtain the molten salt residue site map of the target solar field pipeline. The phase change process simulation module is used to simulate the solidification phase change process of the target solar field pipeline based on the molten salt residual site map, and obtain the time-series evolution data of the target solar field pipeline. The heating section definition module is used to dynamically define the target solar field pipeline based on the time-series evolution data, so as to obtain the controlled heating section of the target solar field pipeline; The flux projection encoding module is used to perform flux projection encoding on the controlled heating section to obtain the focusing control command of the controlled heating section; Thermodynamic coupling analysis module is used to perform thermodynamic coupling analysis on the controlled heating section based on the focusing control command, and obtain transient thermal stress field distribution data of the controlled heating section; The stress control and adaptation module is used to compare the transient thermal stress field distribution data with the preset stress gradient constraint threshold point by point, and based on the comparison results, to adjust the heating parameters of the controlled heating section in real time, so as to obtain the phase change melting product of the residual molten salt in the controlled heating section.

Images