Water storage type rainwater pipe three-dimensional greening system for green building

Abstract

The present application relates to rainwater utilization technical field, a kind of for green building's water storage type rainwater pipe three-dimensional greening system, the system includes rainwater purification module, gravity diversion deduction module, water storage linkage control module, infiltration suction simulation module, percolation supply module and water circulation balance calibration module, to roof rainwater runoff data is abandoned flow intercepts pollution analysis, obtains the characteristic value of purified rainwater;The characteristic value of purified rainwater is deduced by gravity diversion, and the distribution of layered transport rainwater is obtained;The liquid level linkage control is carried out to target building facade, and the quantitative storage rainwater quota is obtained;Quantitative storage rainwater quota is simulated by infiltration suction, and the gradient migration water potential is obtained;The percolation supply evaluation is carried out to water demand state, and the storage water content index is obtained;Overall water circulation balance parameter is dynamically self-adapting calibration, and the balance maintenance interval is obtained;The present application can improve the efficiency of reference information generation for green building's water storage type rainwater pipe three-dimensional greening system.

Description

Technical Field

[0001] This invention relates to the field of rainwater utilization technology, and in particular to a water-storage rainwater pipe vertical greening system for green buildings. Background Technology

[0002] In the existing technology system of vertical greening with rainwater pipes in green buildings, the treatment of roof rainwater runoff lacks a refined mechanism for interception, pollution control, sedimentation, and purification. The temporal rainfall characteristics of rainwater runoff are not adequately explored, the initial high-pollution load rainwater is not thoroughly removed, and the sedimentation and separation of suspended particles are not tracked and precisely separated according to the laws of fluid mechanics. This results in low accuracy in obtaining the water quality characteristics of the purified rainwater and insufficient stability of water quality cleanliness. When used for subsequent water replenishment of the cultivation substrate, it is easy to cause blockage of the substrate pores, damage the hydraulic transport structure of the cultivation substrate, reduce the water infiltration and water retention capacity of the substrate, and create technical risks for the utilization of rainwater in vertical greening.

[0003] The existing rainwater pipe-based vertical greening system lacks a systematic and coordinated design for rainwater transport, storage, regulation, and replenishment. It fails to optimize gravity diversion paths based on the hierarchical topology of the building's geometric diversion pipes, resulting in an imbalanced flow load distribution in the tiered rainwater transport and a tendency for localized pipe overload. Furthermore, the liquid level control of the tiered storage devices lacks dynamic adaptation to changes in roof runoff and overflow risks. The allocation of water inlet quotas lacks a scientific competitive equilibrium adjustment mechanism, and the water infiltration and extraction lacks gradient potential energy regulation. Infiltration replenishment is not targeted to the three-dimensional water shortage distribution of the cultivation substrate, and the overall water cycle lacks dynamic adaptive balancing calibration methods. This leads to low rainwater storage utilization, transport efficiency, and substrate replenishment accuracy, failing to meet the refined and hierarchical requirements of green building vertical greening for rainwater utilization. Ultimately, this restricts the overall operational efficiency and greening maintenance effect of the rainwater pipe-based vertical greening system. Therefore, improving the efficiency of water-storage-type rainwater pipe-based vertical greening systems for green buildings has become an urgent problem to be solved. Summary of the Invention

[0004] To achieve the above objectives, this invention provides a water-storage rainwater pipe-based vertical greening system for green buildings, characterized in that the system includes a rainwater purification module, a gravity diversion simulation module, a water storage linkage control module, an infiltration and suction simulation module, an infiltration replenishment module, and a water cycle balance calibration module, wherein: The rainwater purification module is used to perform diversion and pollution interception analysis on the roof rainwater runoff data of the target building facade to obtain the purified rainwater characteristic value of the roof rainwater runoff data. The gravity diversion simulation module is used to perform gravity diversion simulation on the purified rainwater characteristic value based on the geometric diversion pipe parameters of the target building facade, and obtain the layered transport rainwater distribution of the purified rainwater characteristic value. The water storage linkage control module is used to control the water volume of the layered water storage device on the exterior of the target building based on the layered rainwater distribution and the roof rainwater runoff data, so as to obtain a quantitative rainwater storage quota for the water volume of the layered water storage device. The infiltration and suction simulation module is used to perform infiltration and suction simulation on the quantitative rainwater storage quota to obtain the gradient migration water potential energy of the quantitative rainwater storage quota. The infiltration replenishment module is used to assess the water demand of the cultivation substrate in the exterior of the target building based on the gradient migration water potential energy, and obtain the water retention index of the cultivation substrate in the exterior of the target building. The water cycle balance calibration module is used to dynamically and adaptively calibrate the overall water cycle balance parameters of the target building facade based on the water storage cultivation index and the purified rainwater characteristic value, so as to obtain the balance maintenance range of the overall water cycle balance parameters.

[0005] In a preferred embodiment, when the rainwater purification module performs stream diversion and pollution interception analysis on the roof rainwater runoff data of the target building facade to obtain the purified rainwater characteristic value of the roof rainwater runoff data, it is specifically used for: The roof rainwater runoff data of the target building facade is sliced ​​by time-series rainfall intensity to obtain the time period segments of the roof rainwater runoff data that are discarded. The pollution load of the diversion period segment is removed to obtain the discarded pollution components of the diversion period segment; Based on the discarded pollutant components, the remaining runoff of the roof rainwater runoff data is recombined to obtain the runoff data to be purified from the roof rainwater runoff data. Based on Stokes' law, suspended particle settling tracking is performed on the runoff data to be purified to obtain the particle settling trajectory of the runoff data to be purified. Based on the particle settling trajectory, the sedimentary phase material is stripped from the runoff data to be purified to obtain the sedimentation purified runoff data of the roof rainwater runoff data. The water quality cleanliness level of the sedimentation and purification runoff data is calibrated to obtain the purified rainwater characteristic value of the roof rainwater runoff data.

[0006] In a preferred embodiment, when the gravity diversion simulation module performs gravity diversion simulation on the purified rainwater characteristic values ​​based on the geometric diversion pipe parameters of the target building facade to obtain the stratified transport rainwater distribution of the purified rainwater characteristic values, it is specifically used for: The geometric diversion pipe parameters of the target building facade are decomposed into a connected hierarchy to obtain the hierarchical topology of the geometric diversion pipe parameters. Based on the hierarchical topology, the path optimization of the purified rainwater feature values ​​is performed to obtain the preferred delivery path of the purified rainwater feature values. The inlet flow of the priority transport path is monitored, and based on the monitoring results, the load pattern of the priority transport path is identified to obtain the load imbalance indicator of the priority transport path. Based on the load imbalance identifier, the imbalanced flow of the priority delivery path is resolving flow conflicts to obtain the balanced flow ratio of the imbalanced flow. Based on the balanced flow ratio and the hierarchical topology, the purified rainwater characteristic values ​​are aggregated and arranged layer by layer to obtain the hierarchical transport rainwater distribution of the purified rainwater characteristic values.

[0007] In a preferred embodiment, when the gravity diversion deduction module performs path traversal optimization based on the hierarchical topology to obtain the preferred transport path for the purified rainwater feature values, it is specifically used for: The purified rainwater characteristic value is analyzed by load state analysis to obtain the flow load characteristic of the purified rainwater characteristic value; Based on the hierarchical topology, the candidate paths for the purified rainwater feature values ​​are geometrically decomposed to obtain the geometric parameter set of the candidate paths; Based on the geometric parameter set and the flow load characteristics, path potential energy analysis is performed on the candidate paths to obtain the priority transport index of the candidate paths. The formula for calculating the priority transport index is as follows: ; In the formula, For the first The priority delivery index of the candidate routes, For the geometric parameter set, the first The elevation difference of the candidate paths For the first The length of the candidate paths, The preset potential energy gain index, The preset self-load suppression coefficient, The first of the flow load characteristics Instantaneous traffic load of candidate paths, For the geometric parameter set, the first The rated capacity of each candidate path, The preset load sensitivity index, The preset downstream coupling coefficient, For the hierarchical topology architecture, the first The set of downstream branches of the candidate paths. For the path index of the downstream branch set, For the downstream branch path of the flow load characteristics Instantaneous flow load, For the downstream branch path in the geometric shunt pipe fitting parameters Rated capacity; Based on the priority transport index, the candidate paths are evaluated to determine their merits, thereby obtaining the priority transport path with the purified rainwater characteristic value.

[0008] In a preferred embodiment, when the water storage linkage control module performs level-linked control of the water volume of the layered water storage device on the exterior of the target building based on the layered rainwater distribution and the roof rainwater runoff data, and obtains a quantitative rainwater storage quota for the layered water storage device, it is specifically used for: By performing layer-by-layer flow analysis on the layered rainwater distribution, the layered instantaneous inflow flux of the layered rainwater distribution is obtained; Based on the roof rainwater runoff data, the overload risk of the instantaneous inflow flux of the stratified water storage device is identified, and the overflow floor identifier of the water volume of the stratified water storage device is obtained. Based on the overflow floor identifier, the water volume of the layered water storage device on the exterior of the target building is prioritized to obtain the priority water inlet sequence of the exterior of the target building. The water storage demand is predicted based on the priority water intake sequence to obtain the expected water replenishment demand of the stratified water storage device; Based on the expected water replenishment demand and the priority water intake sequence, the water intake quota of the stratified water storage device is subject to competition, and a quantitative rainwater storage quota for the stratified water storage device is obtained.

[0009] In a preferred embodiment, when the water storage linkage control module performs water quota competition for the stratified water storage device based on the expected water replenishment demand and the priority water inflow sequence to obtain a quantitative rainwater storage quota for the stratified water storage device, it is specifically used for: The instantaneous inflow flux of the layered rainwater distribution is accumulated layer by layer to obtain the total accumulated instantaneous inflow flux of the layered distribution. Based on the accumulated total and the roof rainwater runoff data, the total inflow of water to the layered water storage device is determined to obtain the current total available water volume of the target building facade. Based on the current total available water volume and the stratified instantaneous inflow flux, the risk level of the water volume of the stratified water storage device is determined to obtain the overflow risk coefficient of the target building facade. The priority weighting factor of the water volume of the stratified water storage device is obtained by performing a weighted solution on the priority water intake sequence. Based on the expected water replenishment demand and the overflow risk coefficient, the competitive equilibrium adjustment factor of the water volume of the stratified water storage device is calculated, wherein the calculation formula of the competitive equilibrium adjustment factor is: ; In the formula, This refers to the competitive equilibrium adjustment factor. The floor index for the exterior facade of the target building. The total number of floors on the exterior facade of the target building. The first one in the exterior facade of the target building The expected water replenishment needs of the layer The first one in the exterior facade of the target building Overflow risk coefficient of the layer The first one in the exterior facade of the target building Layer priority weight factor, This refers to the current total available water volume; Based on the competitive equilibrium adjustment factor, the expected water replenishment demand and the overflow risk coefficient are weighed to obtain the quantitative rainwater storage quota of the stratified water storage device.

[0010] In a preferred embodiment, when the infiltration and suction simulation module performs an infiltration and suction simulation on the quantitatively stored rainwater quota to obtain the gradient migration water potential energy of the quantitatively stored rainwater quota, it is specifically used for: Vertical elevation analysis was performed on the quantitative rainwater storage quota to obtain a vertical stratification map of the quantitative rainwater storage quota; Based on the vertical stratification map, fiber affinity is used to identify the quantitative rainwater storage quota, and the priority suction level of the quantitative rainwater storage quota is obtained. The rhizosphere water deficit rate of the priority suction level is continuously tracked to obtain the dynamic suction driving force of the priority suction level. Based on the dynamic suction driving force, the water migration potential energy of the priority suction level is fused to obtain the gradient migration water potential energy of the quantitative rainwater storage quota.

[0011] In a preferred embodiment, when the infiltration recharge module performs an infiltration recharge assessment of the water demand status of the cultivation substrate in the target building facade based on the gradient migration water potential energy, and obtains the water retention index of the target building facade, it is specifically used for: The water shortage level of the cultivation substrate on the exterior facade of the target building was analyzed at multiple points to obtain the water stress level of the cultivation substrate; Based on the water stress level, the cultivation substrate is topologically reconstructed to obtain a three-dimensional water shortage distribution map of the cultivation substrate; Based on the gradient migration water potential energy, the transport path of the three-dimensional water shortage distribution map is matched to obtain the targeted recharge area of ​​the three-dimensional water shortage distribution map; The targeted supply area is allocated a fixed quota layer by layer to obtain the point-by-point supply quota of the targeted supply area; Based on the point-to-point replenishment amount, the infiltration and absorption process of the cultivation substrate is monitored throughout to obtain the increase in the water retention of the cultivation substrate. The incremental water content of the storage trough is integrated to obtain the water content index for cultivation of the target building facade.

[0012] In a preferred embodiment, when the osmotic recharge module performs topological reconstruction of the cultivation substrate based on the water demand urgency level to obtain a three-dimensional water shortage distribution map of the cultivation substrate, it is specifically used for: Based on the water urgency level, the cultivation substrate is prioritized to identify water competition nodes in the cultivation substrate. The pore connectivity of the water-competing nodes is reconstructed to obtain the hydraulic correlation diagram between the nodes of the water-competing nodes. Based on the hydraulic correlation graph between the nodes, the water competition nodes are clustered by connected components to obtain the water transport system of the cultivation substrate. Based on the water transport system, the water competition nodes are embedded in a vertical elevation hierarchy to obtain the vertical water transport architecture of the cultivation substrate. Based on the vertical water transport architecture and the water demand urgency hierarchy, the water demand urgency attribute is labeled on the water competition nodes to obtain a three-dimensional water shortage distribution map of the cultivation substrate.

[0013] In a preferred embodiment, when the water cycle balance calibration module performs dynamic adaptive calibration of the overall water cycle balance parameters of the target building facade based on the water storage cultivation index and the purified rainwater characteristic value, and obtains the balance maintenance range of the overall water cycle balance parameters, it is specifically used for: Vertical distribution tomographic scanning was performed on the water index of the water storage cultivation to obtain the vertical abundance / deficiency trend of the water index of the water storage cultivation. Based on the vertical abundance / scarcity pattern, the inflow point of the purified rainwater characteristic value is traced to obtain the water replenishment anchoring point of the purified rainwater characteristic value. The remaining water-holding pores of the surrounding matrix at the water replenishment anchoring point are investigated to obtain the matrix pore absorption capacity at the water replenishment anchoring point. Based on the absorption capacity of the matrix pores, the peak region of the vertical abundance / scarcity state is siphon-triggered to obtain the vertical equilibrium transition trajectory of the vertical abundance / scarcity state. Based on the vertical equilibrium transition trajectory, the upper and lower boundaries of the overall water cycle balance parameters of the target building facade are replanned to obtain the dynamic fluctuation threshold of the overall water cycle balance parameters. By performing long-term drift tracking on the dynamic fluctuation threshold, the balance maintenance range of the overall water cycle balance parameters is obtained.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention achieves refined treatment and hierarchical allocation of roof rainwater through multi-module collaboration. The rainwater purification module combines time-series analysis and Stokes' law to achieve precise rainwater purification. The gravity diversion deduction module optimizes rainwater diversion paths based on topological architecture and priority transport index. The water storage linkage control module completes quantitative water storage quota allocation through overflow risk assessment and competitive equilibrium adjustment. These multi-stage technical means significantly improve the accuracy of rainwater purification, transport efficiency, and the scientific nature of water storage allocation, effectively improving the utilization rate of rainwater resources and providing a high-quality and stable rainwater supply source for vertical greening of building facades, thus achieving precise and hierarchical control of rainwater utilization.

[0015] 2. This invention constructs a complete replenishment system from water potential energy regulation to dynamic calibration of the water cycle. The immersion and suction simulation module generates gradient migration water potential energy, the infiltration replenishment module realizes targeted quantitative water replenishment of the cultivation substrate based on the three-dimensional water shortage distribution map, and the water cycle balance calibration module completes adaptive calibration of the water cycle through vertical abundance and deficiency analysis and dynamic threshold planning. This significantly improves the accuracy of water replenishment of the cultivation substrate, adapts to the three-dimensional water demand state of the substrate, and maintains the dynamic balance of the overall water cycle, ensuring stable water supply and demand for green building vertical greening. It also significantly improves the overall operating efficiency of the water storage rainwater pipe vertical greening system, meeting the integrated development needs of green building rainwater utilization and vertical greening. Attached Figure Description

[0016] Figure 1 A system architecture diagram of a water-storage rainwater pipe vertical greening system for green buildings is provided in an 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

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments belong to some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “said” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0019] Depending on the context, the word "if" or "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0020] Furthermore, the timing of the steps in the following method embodiments is merely an example and not a strict limitation.

[0021] In practice, the server-side equipment deployed in a water-storage rainwater pipe vertical greening system for green buildings may consist of one or more devices. This water-storage rainwater pipe vertical greening system for green buildings can be implemented as: a business instance, a virtual machine, and hardware devices. For example, this system can be implemented as a business instance deployed on one or more devices in a cloud node. Simply put, this system can be understood as software deployed on a cloud node, providing a water-storage rainwater pipe vertical greening system for green buildings to various user terminals. Alternatively, this system can also be implemented as a virtual machine deployed on one or more devices in a cloud node. This virtual machine contains application software for managing various user terminals. Alternatively, this water-storage rainwater pipe vertical greening system for green buildings can also be implemented as a server consisting of numerous identical or different types of hardware devices, with one or more hardware devices set up to provide each user terminal with a water-storage rainwater pipe vertical greening system for green buildings.

[0022] In terms of implementation, the water-storage rainwater pipe vertical greening system for green buildings and the user terminal are mutually compatible. That is, if the water-storage rainwater pipe vertical greening system for green buildings is implemented as an application installed on a cloud service platform, then the user terminal is a client that establishes a communication connection with the application; or if the water-storage rainwater pipe vertical greening system for green buildings is implemented as a website, then the user terminal is implemented as a webpage; or if the water-storage rainwater pipe vertical greening system for green buildings is implemented as a cloud service platform, then the user terminal is implemented as a mini-program in an instant messaging application.

[0023] like Figure 1 The diagram shown is a system architecture diagram of a water-storage rainwater pipe vertical greening system for green buildings, provided by an embodiment of the present invention.

[0024] The water-storage rainwater pipe vertical greening system 10 for green buildings described in this invention can be installed on a cloud server. In terms of implementation, it can function as one or more service devices, or as an application installed on the cloud (e.g., a mobile service operator's server, server cluster, etc.), or it can be developed into a website. Depending on the functions implemented, the water-storage rainwater pipe vertical greening system 10 for green buildings may include a rainwater purification module 11, a gravity diversion simulation module 12, a water storage linkage control module 13, an infiltration and suction simulation module 14, an infiltration replenishment module 15, and a water cycle balance calibration module 16. The modules described in this invention can also be called units, referring to a series of computer program segments that can be executed by an electronic device's processor and perform a fixed function, stored in the electronic device's memory.

[0025] In this embodiment of the invention, a water-storage rainwater pipe vertical greening system for green buildings allows each of the aforementioned modules to be implemented independently and to call upon other modules. This "calling" can be understood as a module connecting to multiple modules of another type and providing corresponding services to those connected modules. The water-storage rainwater pipe vertical greening system for green buildings provided by this embodiment of the invention allows for adjustment of the system's applicability by adding modules and directly calling them, without modifying the program code. This enables cluster-based horizontal expansion, facilitating quick and flexible expansion of the system. In practical applications, these modules can be located on the same or different devices, or in virtual devices, such as service instances on a cloud server.

[0026] The following describes, with reference to specific embodiments, the various components and specific workflow of a water-storage rainwater pipe vertical greening system for green buildings: The rainwater purification module 11 is used to perform diversion and pollution interception analysis on the roof rainwater runoff data of the target building facade to obtain the purified rainwater characteristic value of the roof rainwater runoff data. In this embodiment of the invention, when the rainwater purification module performs stream diversion and pollution interception analysis on the roof rainwater runoff data of the target building facade to obtain the purified rainwater characteristic value of the roof rainwater runoff data, it is specifically used for: The roof rainwater runoff data of the target building facade is sliced ​​by time-series rainfall intensity to obtain the time period segments of the roof rainwater runoff data that are discarded. The pollution load of the diversion period segment is removed to obtain the discarded pollution components of the diversion period segment; Based on the discarded pollutant components, the remaining runoff of the roof rainwater runoff data is recombined to obtain the runoff data to be purified from the roof rainwater runoff data. Based on Stokes' law, suspended particle settling tracking is performed on the runoff data to be purified to obtain the particle settling trajectory of the runoff data to be purified. Based on the particle settling trajectory, the sedimentary phase material is stripped from the runoff data to be purified to obtain the sedimentation purified runoff data of the roof rainwater runoff data. The water quality cleanliness level of the sedimentation and purification runoff data is calibrated to obtain the purified rainwater characteristic value of the roof rainwater runoff data.

[0027] Based on the time series of rainfall, the roof rainwater runoff data of the target building facade is divided into continuous time units, and the relevant data segment of rainwater runoff in the early stage of rainfall is extracted. This data segment is the time period segment of roof rainwater runoff data that is discarded.

[0028] For the extracted runoff period segments, pollutant separation and removal operations are carried out on the corresponding rainwater runoff portions to separate and remove all solid pollutants and highly soluble pollutants contained therein. The pollutants that are separated and removed are the pollutant components discarded from the runoff period segments.

[0029] In the roof rainwater runoff data of the target building facade, the data segments of the runoff time corresponding to the discarded pollutant components are removed. The remaining rainwater runoff data that has not been removed are integrated and sorted out to form a complete rainwater runoff data set. This data set is the runoff data to be purified from the roof rainwater runoff data.

[0030] Based on Stokes' law reflecting the settling law of suspended particles in still water, the settling characteristics of suspended particles in the runoff data to be purified, such as settling velocity, settling direction, and time changes during the settling process, are tracked and recorded throughout the process. The recorded information on the settling characteristics of suspended particles is integrated to form the particle settling trajectory of the runoff data to be purified.

[0031] Based on the particle settling trajectory formed by sorting, the rainwater runoff data corresponding to the sedimentary phase material formed after the suspended particles in the runoff data to be purified are located. The relevant data corresponding to this sedimentary phase material is separated and removed from the runoff data to be purified. The rainwater runoff data after removing the sedimentary phase material data is the sedimentation and purification runoff data of roof rainwater runoff data.

[0032] Multiple evaluation indicators that can reflect the cleanliness of water are selected. Each water quality indicator is tested and recorded for the rainwater runoff corresponding to the sedimentation and purification runoff data. All water quality cleanliness-related indicator data obtained from the test records are systematically integrated to form an indicator set that can comprehensively reflect the cleanliness of rainwater. This indicator set is the purified rainwater characteristic value of roof rainwater runoff data.

[0033] The beneficial effects include: by segmenting rooftop rainwater runoff data according to rainfall time series and extracting the diversion period segments, highly polluted rainwater runoff from the initial rainfall stage can be accurately screened out, reducing pollutant content in rainwater runoff at the source. Pollutant separation and removal are performed on the diversion period segments, and the remaining runoff data is then integrated to form runoff data to be purified, achieving preliminary purification and effective screening of rainwater runoff. Based on Stokes' law, the sedimentation characteristics of suspended particles are tracked and particle sedimentation trajectories are formed, enabling precise location and separation of sedimentary phase materials, achieving deep sedimentation purification of rainwater runoff. By detecting sedimentation and purification runoff data through multiple indicators and integrating them to form purified rainwater characteristic values, the cleanliness of rainwater can be comprehensively and accurately reflected, providing accurate and reliable water quality data for subsequent rainwater diversion, storage, and utilization, ensuring the systematic and effective nature of rainwater purification treatment.

[0034] The gravity diversion simulation module 12 is used to perform gravity diversion simulation on the purified rainwater characteristic value based on the geometric diversion pipe parameters of the target building facade, and obtain the layered transport rainwater distribution of the purified rainwater characteristic value. In this embodiment of the invention, when the gravity diversion simulation module performs gravity diversion simulation on the purified rainwater characteristic values ​​based on the geometric diversion pipe parameters of the target building facade to obtain the layered transport rainwater distribution of the purified rainwater characteristic values, it is specifically used for: The geometric diversion pipe parameters of the target building facade are decomposed into a connected hierarchy to obtain the hierarchical topology of the geometric diversion pipe parameters. Based on the hierarchical topology, the path optimization of the purified rainwater feature values ​​is performed to obtain the preferred delivery path of the purified rainwater feature values. The inlet flow of the priority transport path is monitored, and based on the monitoring results, the load pattern of the priority transport path is identified to obtain the load imbalance indicator of the priority transport path. Based on the load imbalance identifier, the imbalanced flow of the priority delivery path is resolving flow conflicts to obtain the balanced flow ratio of the imbalanced flow. Based on the balanced flow ratio and the hierarchical topology, the purified rainwater characteristic values ​​are aggregated and arranged layer by layer to obtain the hierarchical transport rainwater distribution of the purified rainwater characteristic values.

[0035] When the gravity diversion deduction module performs path traversal optimization based on the hierarchical topology to obtain the preferred transport path for the purified rainwater feature values, it is specifically used for: The purified rainwater characteristic value is analyzed by load state analysis to obtain the flow load characteristic of the purified rainwater characteristic value; Based on the hierarchical topology, the candidate paths for the purified rainwater feature values ​​are geometrically decomposed to obtain the geometric parameter set of the candidate paths; Based on the geometric parameter set and the flow load characteristics, path potential energy analysis is performed on the candidate paths to obtain the priority transport index of the candidate paths. The formula for calculating the priority transport index is as follows: ; In the formula, For the first The priority delivery index of the candidate routes, For the geometric parameter set, the first The elevation difference of the candidate paths For the first The length of the candidate paths, The preset potential energy gain index, The preset self-load suppression coefficient, The first of the flow load characteristics Instantaneous traffic load of candidate paths, For the geometric parameter set, the first The rated capacity of each candidate path, The preset load sensitivity index, The preset downstream coupling coefficient, For the hierarchical topology architecture, the first The set of downstream branches of the candidate paths. For the path index of the downstream branch set, For the downstream branch path of the flow load characteristics Instantaneous flow load, For the downstream branch path in the geometric shunt pipe fitting parameters Rated capacity; Based on the priority transport index, the candidate paths are evaluated to determine their merits, thereby obtaining the priority transport path with the purified rainwater characteristic value.

[0036] A comprehensive analysis of the geometric diversion pipe parameters on the target building facade was conducted, outlining the vertical connection relationships and lateral connectivity of each pipe. Different connectivity levels were defined according to the floor distribution of the building facade and the flow levels of the pipes. The connection nodes, flow interfaces, and connection methods of each level of pipes were clarified. The connectivity structure and pipe association information of each level were systematically integrated to form a hierarchical topology architecture of the geometric diversion pipe parameters.

[0037] A comprehensive analysis is conducted on the relevant information such as rainwater volume and flow capacity covered by the characteristic values ​​of purified rainwater. Various load-related characteristics, such as the flow scale and flow rate that may be formed during the rainwater diversion process, are sorted out. All the sorted load-related information is classified, integrated and systematically summarized to form the flow load characteristics of the characteristic values ​​of purified rainwater.

[0038] Based on the range of diversion pipes corresponding to each candidate path as defined in the hierarchical topology architecture, the geometric attributes of each candidate path are extracted one by one. The extracted content includes information such as the elevation difference, actual length of the path, and flow cross-section specifications. All extracted geometric attribute information is classified and organized according to the candidate paths to form a set of geometric parameters for the candidate paths.

[0039] By combining the geometric attribute information of each candidate path in the geometric parameter set with the load-related characteristics of each candidate path in the flow load characteristics, a comprehensive analysis and evaluation of the water flow potential energy conditions and load carrying status of each candidate path is conducted. Based on the evaluation results, a corresponding transport adaptability numerical identifier is determined for each candidate path, which is the priority transport index of the candidate path.

[0040] The priority delivery index of all candidate paths is systematically sorted and sorted. The candidate path with the best delivery adaptability is selected according to the sorting results. The information such as the flow start point, flow node, connecting pipe fittings and flow end point of the selected candidate path is sorted and integrated to form a complete flow path system. This system is the priority delivery path for purifying rainwater characteristic values.

[0041] Monitoring points are set up at the entrance of the priority transport path to continuously and uninterruptedly monitor the rainwater flow rate at these points, record the actual flow rate data at different times in real time, and form a complete inlet flow rate monitoring record.

[0042] Based on the inlet flow monitoring records of the priority delivery path, the actual flow rate is compared and analyzed with the normal carrying capacity of the path one by one. The abnormal load conditions such as flow overload and abnormal flow fluctuation in the path are identified. Each identified abnormal load condition is marked with a unique feature. These marking information are integrated to form the load imbalance identifier of the priority delivery path.

[0043] Based on the abnormal load status marked in the load imbalance indicator, the specific scale, time period and distribution location of the unbalanced flow in the priority transmission path are accurately identified. The unbalanced flow is reasonably diverted and allocated according to its characteristics. The specific flow allocation ratio of each diversion branch is determined. All allocation ratio information is systematically integrated to form a balanced flow ratio of the unbalanced flow.

[0044] Combining the flow distribution ratio of each branch determined in the balanced flow ratio with the connection hierarchy relationship clearly defined in the hierarchical topology, the rainwater flow corresponding to the purified rainwater characteristic value is collected and distributed layer by layer according to the vertical hierarchy of the target building facade. The rainwater transport scale, flow path and connecting pipes of each level are clearly defined. The relevant information of rainwater transport at each level is fully integrated to form a hierarchical rainwater distribution of purified rainwater characteristic value.

[0045] The elevation difference of the candidate path is derived from the geometric parameter set. It is obtained by decomposing the geometric attributes of the candidate path, extracting the elevation values ​​of the starting and ending points, and calculating the difference between them. The length of the candidate path is also derived from the geometric parameter set. It is obtained by decomposing the geometric attributes of the candidate path and extracting the actual extension length of the path. The potential energy gain index is a preset value, pre-set based on the potential energy influence of rainwater transport. The self-load suppression coefficient is a preset value, pre-set based on the load influence of the candidate path itself. The instantaneous flow load of the candidate path is derived from the flow load characteristics. It is obtained by analyzing the load state of the purified rainwater characteristic values ​​and extracting the instantaneous flow rate of the path. The rated capacity of the candidate path is derived from the geometric parameter set. It is obtained by decomposing the geometric attributes of the candidate path and extracting the maximum flow capacity of the path. The load sensitivity index is a preset value, pre-set based on the sensitivity of the candidate path to load changes. The downstream coupling coefficient is a preset value, pre-set based on the influence of downstream branches on the candidate path. The quantities corresponding to the downstream branch set are derived from the hierarchical topology, obtained by decomposing the geometric shunt pipe parameters to identify all downstream connecting paths. The quantities corresponding to the instantaneous flow load of the downstream branch path are derived from the flow load characteristics, obtained by analyzing the load state of the purified rainwater characteristic values ​​to extract the instantaneous flow rate of the downstream branch path. The quantities corresponding to the rated capacity of the downstream branch path are derived from the geometric shunt pipe parameters, obtained by decomposing the geometric attributes of the geometric shunt pipe parameters to extract the maximum flow capacity of the downstream branch path.

[0046] This calculation method is used to evaluate the priority delivery suitability of each candidate path. It comprehensively considers the potential energy conditions of the candidate path, its own load-bearing status, and the load impact of downstream branches. Through integrated analysis of these factors, an identifier that reflects the delivery priority of the candidate path is formed, providing a clear basis for the selection of priority delivery paths.

[0047] When the potential energy condition of a candidate path increases, the suitability for priority delivery increases. When the load condition of a candidate path itself increases, the suitability for priority delivery decreases. When the load condition of a downstream branch of a candidate path increases, the suitability for priority delivery decreases.

[0048] The beneficial effects include: Analyzing the parameters of geometric diversion pipe fittings and forming a hierarchical topology, clearly defining the connectivity and relationships of pipe fittings on the building facade, providing a clear and complete structural basis for rainwater gravity diversion simulation. Analyzing the characteristic values ​​of purified rainwater to form flow load characteristics, extracting the geometric attributes of candidate paths to form a set of geometric parameters, and comprehensively analyzing to obtain a priority transport index and screen priority transport paths, accurately determining the optimal path for rainwater transport. Continuous monitoring of the inlet flow of priority transport paths and identification of load imbalance states can promptly capture abnormal flow conditions, specifically address imbalanced flow, and determine the balanced flow ratio, rationally allocating flow to avoid abnormal path loads. Combining the ratio and topology architecture to arrange rainwater flow layer by layer, the transport scale and path of each level can be clearly defined, forming a precise layered rainwater distribution, ensuring the orderliness and scientific nature of rainwater gravity diversion.

[0049] Clearly defining the sources and acquisition methods of each value in the calculation method ensures the standardization and accuracy of data acquisition, providing reliable data support for the assessment of priority delivery suitability. This calculation method comprehensively integrates the potential energy conditions, self-load status, and downstream branch load influence of candidate paths, enabling a comprehensive and objective assessment of the delivery suitability of each candidate path. The resulting priority identifier can be directly used as the basis for selecting priority delivery paths. Clearly defining the changing trends of the calculation method allows for precise understanding of the direction of influence of each factor on delivery suitability, enabling the prediction of suitability changes before path selection, ensuring the rationality and scientific nature of priority delivery path selection, and laying a solid foundation for the orderly deduction of rainwater gravity diversion.

[0050] The water storage linkage control module 13 is used to control the water volume of the layered water storage device on the exterior of the target building based on the layered rainwater distribution and the roof rainwater runoff data, so as to obtain a quantitative rainwater storage quota for the water volume of the layered water storage device. In this embodiment of the invention, when the water storage linkage control module performs level linkage control on the water volume of the layered water storage device on the exterior of the target building based on the layered rainwater distribution and the roof rainwater runoff data, and obtains a quantitative rainwater storage quota for the layered water storage device, it is specifically used for: By performing layer-by-layer flow analysis on the layered rainwater distribution, the layered instantaneous inflow flux of the layered rainwater distribution is obtained; Based on the roof rainwater runoff data, the overload risk of the instantaneous inflow flux of the stratified water storage device is identified, and the overflow floor identifier of the water volume of the stratified water storage device is obtained. Based on the overflow floor identifier, the water volume of the layered water storage device on the exterior of the target building is prioritized to obtain the priority water inlet sequence of the exterior of the target building. The water storage demand is predicted based on the priority water intake sequence to obtain the expected water replenishment demand of the stratified water storage device; Based on the expected water replenishment demand and the priority water intake sequence, the water intake quota of the stratified water storage device is subject to competition, and a quantitative rainwater storage quota for the stratified water storage device is obtained.

[0051] When the water storage linkage control module executes a water quota competition based on the expected water replenishment demand and the priority water inflow sequence to obtain a quantitative rainwater storage quota for the stratified water storage device, it is specifically used for: The instantaneous inflow flux of the layered rainwater distribution is accumulated layer by layer to obtain the total accumulated instantaneous inflow flux of the layered distribution. Based on the accumulated total and the roof rainwater runoff data, the total inflow of water to the layered water storage device is determined to obtain the current total available water volume of the target building facade. Based on the current total available water volume and the stratified instantaneous inflow flux, the risk level of the water volume of the stratified water storage device is determined to obtain the overflow risk coefficient of the target building facade. The priority weighting factor of the water volume of the stratified water storage device is obtained by performing a weighted solution on the priority water intake sequence. Based on the expected water replenishment demand and the overflow risk coefficient, the competitive equilibrium adjustment factor of the water volume of the stratified water storage device is calculated, wherein the calculation formula of the competitive equilibrium adjustment factor is: ; In the formula, This refers to the competitive equilibrium adjustment factor. The floor index for the exterior facade of the target building. The total number of floors on the exterior facade of the target building. The first one in the exterior facade of the target building The expected water replenishment needs of the layer The first one in the exterior facade of the target building Overflow risk coefficient of the layer The first one in the exterior facade of the target building Layer priority weight factor, This refers to the current total available water volume; Based on the competitive equilibrium adjustment factor, the expected water replenishment demand and the overflow risk coefficient are weighed to obtain the quantitative rainwater storage quota of the stratified water storage device.

[0052] Based on the vertical floor levels of the target building's exterior facade, the rainwater transport flow data corresponding to each floor in the layered rainwater transport distribution is analyzed and extracted layer by layer. The specific data of rainwater inflow per unit time for each floor is sorted out, and this type of data for each floor is systematically integrated by level to form the layered instantaneous inflow flux of the layered rainwater transport distribution.

[0053] By combining the overall scale, duration, and intensity of rainwater runoff reflected in the roof rainwater runoff data, the instantaneous inflow data of each floor in the stratified instantaneous inflow flux is compared one by one with the rated water receiving capacity of the corresponding floor's water storage device. Floors whose inflow data exceeds the rated water receiving capacity are identified, and each such floor is given a unique feature mark. All the mark information is integrated by floor to form the overflow floor identifier of the stratified water storage device.

[0054] Based on the overload status of each floor marked in the overflow floor sign, the water inlet adaptability of each floor's water storage device is determined. Floors that have not experienced overload are sorted from low to high according to the actual water storage capacity of the water storage device. At the same time, the water inlet priority of overloaded floors is excluded. The water inlet sequence of the layered water storage devices on all floors is sorted out. The sorted water inlet sequence is then systematically arranged to form the priority water inlet sequence of the target building facade.

[0055] For each floor's stratified water storage device in the priority water intake sequence, check its rated water storage capacity and current actual water storage capacity one by one, calculate the amount of rainwater required to replenish the water storage device on each floor from the current water storage state to the rated full capacity state, and integrate the water replenishment data of each floor in the order of the priority water intake sequence to form the expected water replenishment demand of the stratified water storage device.

[0056] Based on the vertical floor levels of the target building's facade, the rainwater inflow data per unit time for each floor in the instantaneous inflow flux is sequentially superimposed and summarized to obtain the total rainwater inflow data per unit time for all floors. This summarized total data is the cumulative total of the instantaneous inflow flux for each floor.

[0057] By combining the cumulative total amount of rainwater inflow per unit time, and referring to relevant information such as the duration of rainwater, changes in runoff intensity, and overall runoff scale in the roof rainwater runoff data, a comprehensive calculation is made to determine the overall scale of rainwater that can be stably transported to the stratified water storage device. The calculated overall scale of rainwater is then used as the current total available water volume for the target building facade.

[0058] By combining the current total available water volume with the corresponding instantaneous inflow flux of each floor, the possibility of overflow in the water storage device of each floor after receiving the corresponding inflow volume is analyzed. Based on this possibility, the corresponding risk level label data of each floor's water storage device is determined. The risk level label data of each floor is integrated by floor to form the overflow risk coefficient of the target building facade.

[0059] Based on the order of water intake of each floor in the priority water intake sequence, a corresponding weight value is determined for the water intake priority of each floor. The weight value is set according to the standard that the earlier the water intake order, the higher the weight value. The weight values ​​of each floor are integrated in the order of the priority water intake sequence to form the priority weight factor of the water volume of the stratified water storage device.

[0060] By combining the water replenishment volume data of each floor in the expected water replenishment demand and the risk level label data of each floor in the overflow risk coefficient, the scale of water replenishment demand and the degree of overflow risk of each floor are comprehensively considered. By integrating and analyzing the two types of relevant data of each floor, a comprehensive adjustment label data for balancing the water inlet quota of each floor is determined. This data is the competitive equilibrium adjustment factor of water volume of the stratified water storage device.

[0061] Using the competitive equilibrium adjustment factor as the core reference, the water replenishment volume of each floor in the expected water replenishment demand is reasonably adjusted and allocated. At the same time, the overflow risk coefficient data is combined to avoid the overflow risk of water storage devices on each floor. The specific rainwater storage volume value of each floor's layered water storage device is determined. These values ​​of each floor are systematically integrated by floor to form a quantitative rainwater storage quota for the layered water storage device.

[0062] The floor index is an identifier formed by sequentially numbering each floor of the target building's facade. The floor numbers are assigned vertically from the initial number to the final number, completing the floor index compilation. The total number of floors is a value obtained after comprehensively counting all floors of the target building's facade. The number of floors on each facade is counted, and the statistical results are summarized to determine the specific total number of floors. The expected water replenishment demand comes from the water storage demand prediction stage. The rated water storage capacity and actual water storage capacity of each floor in the priority water inflow sequence are checked one by one. The amount of rainwater required to replenish from the actual water storage state to full capacity is calculated, and this water replenishment data for each floor is integrated according to the priority water inflow sequence to form the expected water replenishment demand. The overflow risk coefficient comes from the risk level determination. The current total available water volume is combined with the instantaneous inflow flux of each floor to analyze the possibility of water storage device overflow, determining the corresponding risk level for each floor and integrating them to form the overflow risk coefficient. The priority weighting factor is derived from the weighted solution of the priority water intake sequence. Weight values ​​are assigned based on the order of water intake for each floor in the priority water intake sequence, with higher weight values ​​for earlier floors. The weight values ​​for each floor are then integrated according to the priority water intake sequence to form the priority weighting factor. The current total available water volume is determined by total volume verification. This involves combining the accumulated total volume with roof runoff data to calculate the overall scale of rainwater that can be stably delivered to the tiered water storage device. The verified overall rainwater scale is then used as the current total available water volume.

[0063] This calculation method is used to comprehensively assess the balance between the water replenishment needs, overflow risks, and water inlet priorities of each floor. It integrates the scale of expected water replenishment needs, the level of overflow risks, and the weight of water inlet priorities for each floor, while also taking into account the total available rainwater volume. This forms a comprehensive adjustment basis that can balance the water inlet quotas of each floor, providing a core judgment standard for the scientific allocation of water storage quotas for stratified water storage devices.

[0064] When the expected water replenishment demand of each floor increases, the value of the competition equilibrium adjustment factor increases. When the overflow risk coefficient of each floor increases, the value of the competition equilibrium adjustment factor decreases. When the priority weight factor of each floor increases, the value of the competition equilibrium adjustment factor increases. When the current total available water volume increases, the value of the competition equilibrium adjustment factor decreases.

[0065] The beneficial effects include: obtaining the instantaneous inflow flux of each layer by analyzing the distribution of rainwater in each layer, accurately grasping the rainwater inflow status of each floor, and providing basic data for subsequent regulation; identifying overflow floor markers to identify the risk of overload in the water storage device in advance and avoid overflow problems; forming a priority water intake sequence based on the remaining water volume to ensure that water-deficient floors receive water replenishment first, improving the fairness of water replenishment; predicting expected water replenishment demand to clarify the water replenishment gap of each water storage device, providing a basis for quota allocation; calculating the current total available water volume by accumulating the total amount, accurately grasping the scale of allocable rainwater resources; determining the overflow risk coefficient to quantify the overflow risk of each floor, providing a risk reference for regulation; setting priority weight factors to reflect the impact of water intake priority and ensure the rationality of regulation; determining the competitive equilibrium adjustment factor to balance the water replenishment demand and risk of each floor, avoiding excessive allocation of local resources; and finally forming a quantitative rainwater storage quota, which can scientifically allocate rainwater resources, improve water storage efficiency and system operational stability, and ensure the water supply for vertical greening.

[0066] Clearly defining the sources and acquisition methods of relevant values ​​ensures the accuracy and standardization of the calculation data, providing reliable data support for the formation of competitive equilibrium adjustment factors. This calculation method integrates the water replenishment needs of each floor, overflow risks, and water inflow priorities, while also considering the overall available water volume. This forms a comprehensive adjustment basis that takes into account demand, risk, and resources, providing a scientific judgment standard for water inflow quota allocation. Clearly defining the influence trends of each factor on the adjustment factor allows for accurate prediction of the direction of change in the adjustment factor, proactively avoiding problems of excessive or insufficient local water replenishment, ensuring the rationality and fairness of water inflow quota allocation, and improving the scientific nature of water storage regulation and the stability of system operation.

[0067] The infiltration and suction simulation module 14 is used to perform infiltration and suction simulation on the quantitative rainwater storage quota to obtain the gradient migration water potential energy of the quantitative rainwater storage quota. In this embodiment of the invention, when the infiltration and suction simulation module performs an infiltration and suction simulation on the quantitatively stored rainwater quota to obtain the gradient migration water potential energy of the quantitatively stored rainwater quota, it is specifically used for: Vertical elevation analysis was performed on the quantitative rainwater storage quota to obtain a vertical stratification map of the quantitative rainwater storage quota; Based on the vertical stratification map, fiber affinity is used to identify the quantitative rainwater storage quota, and the priority suction level of the quantitative rainwater storage quota is obtained. The rhizosphere water deficit rate of the priority suction level is continuously tracked to obtain the dynamic suction driving force of the priority suction level. Based on the dynamic suction driving force, the water migration potential energy of the priority suction level is fused to obtain the gradient migration water potential energy of the quantitative rainwater storage quota.

[0068] Based on the vertical elevation levels of the target building facade, the rainwater storage data corresponding to each floor in the quantitative rainwater storage quota is analyzed and sorted out layer by layer. The rainwater storage scale, storage device location and vertical distribution relationship corresponding to each elevation level are clarified. The water storage related data of each elevation level are systematically integrated in vertical order to form a vertical stratified map of the quantitative rainwater storage quota.

[0069] Based on the water storage data of each vertical elevation level in the vertical stratification map, and combined with the adsorption affinity characteristics of water-absorbing fibers in the cultivation substrate for rainwater, the affinity between rainwater and water-absorbing fibers was tested at each vertical elevation level. The affinity matching status of each level was sorted out, and the vertical elevation levels with affinity matching that meet the rainwater extraction requirements were selected. These levels were then systematically integrated to form priority extraction levels for quantitative rainwater storage quotas.

[0070] Multiple monitoring points were set up in the rhizosphere region of the cultivation substrate corresponding to the priority suction level. The rate of water consumption in the rhizosphere at each point was continuously and uninterruptedly monitored. The changes in water shortage values ​​in the rhizosphere region at different time periods were recorded in real time. The pattern of the rate of water shortage in the rhizosphere over time was analyzed. The pattern information was integrated with the real-time water shortage data to form a dynamic suction driving force for the priority suction level.

[0071] By combining the dynamic pumping driving force with the rhizosphere water shortage change pattern and real-time water shortage data, the water migration capacity of each vertical sub-layer within the priority pumping layer is analyzed one by one. Based on the actual pumping demand of the rhizosphere, the water migration potential energy of each vertical sub-layer is integrated and allocated, clarifying the water migration direction, migration intensity and corresponding potential energy of each sub-layer. All the integrated water migration potential energy related data are systematically arranged according to the vertical gradient to form a gradient migration water potential energy for quantitatively storing rainwater quotas.

[0072] The beneficial effects include: by performing vertical elevation analysis on the quantitative rainwater storage quota to form a vertical stratification map, the distribution of rainwater at vertical levels on the building facade can be clearly understood, providing a clear structural basis for subsequent suction simulation. Identifying priority suction levels based on the vertical stratification map allows for precise location of levels with compatibility with the water-absorbing fibers of the cultivation substrate, improving the targeting and efficiency of rainwater suction. Continuously tracking the rhizosphere water deficit rate of priority suction levels forms a dynamic suction driving force, enabling real-time monitoring of rhizosphere water consumption patterns and ensuring suction actions align with actual water demand. The fusion of this dynamic suction driving force with gradient migration water potential energy allows water migration to proceed in an orderly manner along a vertical gradient, adapting to the gradient water demand of the cultivation substrate, improving water use efficiency and replenishment accuracy, and ensuring the stability of water supply for vertical greening.

[0073] The infiltration replenishment module 15 is used to evaluate the water demand status of the cultivation substrate in the exterior of the target building based on the gradient migration water potential energy, and obtain the water retention index of the cultivation substrate in the exterior of the target building. In this embodiment of the invention, when the infiltration replenishment module performs an infiltration replenishment assessment of the water demand status of the cultivation substrate in the exterior facade of the target building based on the gradient migration water potential energy, and obtains the water retention index of the cultivation substrate in the exterior facade of the target building, it is specifically used for: The water shortage level of the cultivation substrate on the exterior facade of the target building was analyzed at multiple points to obtain the water stress level of the cultivation substrate; Based on the water stress level, the cultivation substrate is topologically reconstructed to obtain a three-dimensional water shortage distribution map of the cultivation substrate; Based on the gradient migration water potential energy, the transport path of the three-dimensional water shortage distribution map is matched to obtain the targeted recharge area of ​​the three-dimensional water shortage distribution map; The targeted supply area is allocated a fixed quota layer by layer to obtain the point-by-point supply quota of the targeted supply area; Based on the point-to-point replenishment amount, the infiltration and absorption process of the cultivation substrate is monitored throughout to obtain the increase in the water retention of the cultivation substrate. The incremental water content of the storage trough is integrated to obtain the water content index for cultivation of the target building facade.

[0074] When the osmotic recharge module performs topological reconstruction of the cultivation substrate based on the water demand urgency level to obtain a three-dimensional water shortage distribution map of the cultivation substrate, it is specifically used for: Based on the water urgency level, the cultivation substrate is prioritized to identify water competition nodes in the cultivation substrate. The pore connectivity of the water-competing nodes is reconstructed to obtain the hydraulic correlation diagram between the nodes of the water-competing nodes. Based on the hydraulic correlation graph between the nodes, the water competition nodes are clustered by connected components to obtain the water transport system of the cultivation substrate. Based on the water transport system, the water competition nodes are embedded in a vertical elevation hierarchy to obtain the vertical water transport architecture of the cultivation substrate. Based on the vertical water transport architecture and the water demand urgency hierarchy, the water demand urgency attribute is labeled on the water competition nodes to obtain a three-dimensional water shortage distribution map of the cultivation substrate.

[0075] Monitoring points were evenly distributed at different locations along the vertical elevation and horizontal plane on the cultivation substrate on the exterior facade of the target building. The substrate moisture content and substrate water retention capacity of each point were tested simultaneously and comprehensively. Based on the test results, each point was divided into a corresponding water shortage level. All points in the same water shortage level were hierarchically integrated according to their distribution area to form a water demand urgency level of the cultivation substrate.

[0076] Based on the water shortage level of each level in the water urgency hierarchy, the point with the highest water shortage level is selected as the core node. At the same time, related points with high water shortage levels and competition for substrate water are screened around the core node. All core nodes and corresponding related points are systematically integrated to form water competition nodes in the cultivation substrate.

[0077] The matrix pore distribution and connectivity between pores of each water-competing node were investigated one by one in detail. The matrix pore connectivity paths, pore connectivity and hydraulic conduction relationships between each water-competing node were sorted out. The location information of each water-competing node and its hydraulic relationship were sorted out and integrated to form a hydraulic relationship diagram between water-competing nodes.

[0078] Based on the hydraulic relationships between water-competing nodes in the hydraulic relationship diagram, water-competing nodes with direct or indirect matrix pore connectivity and smooth hydraulic conduction are grouped into the same connected group. All the connected groups are systematically sorted out to clarify the node composition, internal hydraulic conduction path, and relationship between groups, thus forming a water transport system for the cultivation substrate.

[0079] Based on the vertical elevation distribution of the target building's facade, the elevation information of all water-competing nodes in each connected group of the water transport system is accurately marked. The connected groups are rearranged and integrated according to the vertical elevation level of the target building, clarifying the composition of the connected groups corresponding to each elevation level and the hydraulic transport relationship between levels, thus forming the vertical water transport architecture of the cultivation substrate.

[0080] The water shortage level attribute of each water competition node in the water demand urgency level is accurately marked on the corresponding node position in the vertical water transport structure. The water shortage attributes of each node in the vertical elevation level are integrated with the overall hydraulic transport structure to form a map that can reflect the vertical and horizontal water shortage distribution status and hydraulic relationship of the cultivation substrate. This map is the three-dimensional water shortage distribution map of the cultivation substrate.

[0081] By combining the water migration direction, water migration intensity, and water potential energy distribution of each vertical level in the gradient water migration potential energy, all feasible paths that can be matched with the water transport paths of each water-deficient area in the three-dimensional water-deficient distribution map are identified. Based on the path matching results, areas in the cultivation substrate with high water deficiency that can be effectively replenished through existing water potential energy are selected. These areas are then systematically integrated to form targeted replenishment areas in the three-dimensional water-deficient distribution map.

[0082] Based on the vertical elevation levels of the target building facade, the targeted recharge area is divided layer by layer. Combining the degree of substrate water shortage, the actual water holding capacity of the substrate, and the actual supply capacity of gradient migration water potential energy at each level, a specific and accurate rainwater recharge amount is determined for each monitoring point in the targeted recharge area. The recharge data of each point are systematically integrated to form the point-by-point recharge amount for the targeted recharge area.

[0083] Rainwater infiltration replenishment is carried out at each point within the targeted replenishment area according to the replenishment amount. Throughout the replenishment process, the substrate water infiltration rate, actual substrate water absorption, and substrate water diffusion range at each point are continuously monitored. The actual water increment data at each point from the start of replenishment to the stable retention of substrate water are recorded. The water increment data at each point are integrated to form the water retention increment of the cultivation substrate.

[0084] The moisture increment data of each point in the moisture retention increment are comprehensively and systematically summarized in combination with the overall distribution range of the cultivation substrate and the vertical elevation level of the target building facade. The total moisture increment of the cultivation substrate of the entire target building facade, the distribution status of moisture increment at each vertical elevation level, and the substrate moisture retention status of each area are sorted out. This information is comprehensively and systematically integrated to form the moisture retention index of the target building facade.

[0085] The beneficial effects include: by detecting water shortage at multiple points in the cultivation substrate and establishing a water urgency hierarchy, the degree of water shortage in each area of ​​the substrate can be accurately grasped, providing a basis for subsequent replenishment. A three-dimensional water shortage distribution map is formed through topological reconstruction, clearly showing the vertical and horizontal distribution of water shortage in the substrate and its hydraulic relationships, making replenishment planning more scientific. Combining water potential energy with targeted replenishment areas can accurately identify areas with high water shortage and effective replenishment, improving the targeting of replenishment. Allocating replenishment amounts layer by layer and point by point to targeted areas ensures that rainwater replenishment is highly adapted to the actual needs of the substrate. Monitoring the infiltration and absorption process throughout the process to form increased water storage capacity allows for precise control of the actual replenishment effect. The final integrated water storage index provides accurate data support for overall water cycle balance calibration, comprehensively improving the accuracy and water use efficiency of rainwater infiltration replenishment in the cultivation substrate.

[0086] The water cycle balance calibration module 16 is used to dynamically and adaptively calibrate the overall water cycle balance parameters of the target building facade based on the water storage cultivation index and the purified rainwater characteristic value, so as to obtain the balance maintenance range of the overall water cycle balance parameters. In this embodiment of the invention, when the water cycle balance calibration module performs dynamic adaptive calibration of the overall water cycle balance parameters of the target building facade based on the water storage cultivation index and the purified rainwater characteristic value, and obtains the balance maintenance range of the overall water cycle balance parameters, it is specifically used for: Vertical distribution tomographic scanning was performed on the water index of the water storage cultivation to obtain the vertical abundance / deficiency trend of the water index of the water storage cultivation. Based on the vertical abundance / scarcity pattern, the inflow point of the purified rainwater characteristic value is traced to obtain the water replenishment anchoring point of the purified rainwater characteristic value. The remaining water-holding pores of the surrounding matrix at the water replenishment anchoring point are investigated to obtain the matrix pore absorption capacity at the water replenishment anchoring point. Based on the absorption capacity of the matrix pores, the peak region of the vertical abundance / scarcity state is siphon-triggered to obtain the vertical equilibrium transition trajectory of the vertical abundance / scarcity state. Based on the vertical equilibrium transition trajectory, the upper and lower boundaries of the overall water cycle balance parameters of the target building facade are replanned to obtain the dynamic fluctuation threshold of the overall water cycle balance parameters. By performing long-term drift tracking on the dynamic fluctuation threshold, the balance maintenance range of the overall water cycle balance parameters is obtained.

[0087] Based on the vertical elevation levels of the target building facade, the water index of water storage cultivation was analyzed and measured vertically in a stratified manner. The actual water holding capacity, water distribution density, and water retention status of the cultivation substrate were analyzed layer by layer to clarify the specific state of sufficient or insufficient water in the cultivation substrate at each vertical elevation level. The water status of each level was systematically integrated according to the vertical elevation order to form the vertical abundance or deficiency trend of water index in water storage cultivation.

[0088] By combining the water abundance / scarcity status of each vertical elevation level in the vertical abundance / scarcity situation, and matching the rainwater quality and quantity attributes corresponding to the rainwater purification characteristic values, specific points with good pore structure of cultivation substrate, smooth hydraulic conduction, and suitable for rainwater inflow are selected in the water-scarce elevation level in the vertical abundance / scarcity situation. All selected points are systematically integrated to form water replenishment anchoring points for the rainwater purification characteristic values.

[0089] A comprehensive pore state survey was conducted on the cultivation substrate within a fixed range around each water replenishment anchor point. The free volume, pore connectivity, and actual water holding capacity of the substrate pores within this range were measured. The amount of rainwater replenishment that the cultivation substrate pores within this range could hold was calculated. The rainwater holding capacity data of the pores corresponding to each water replenishment anchor point were systematically integrated to form the substrate pore absorption capacity of the water replenishment anchor point.

[0090] First, locate the peak area where the cultivation substrate moisture holding is sufficient in the vertical abundance / deficient situation. Combined with the rainwater capacity determined by the substrate pore absorption capacity, determine the specific amount of rainwater that needs to be siphoned out in this peak area. Trigger a directional siphoning operation in the peak area. Record the direction, speed and time changes of water migration from the peak area to the water-deficient area throughout the process. Systematically integrate this water migration information to form a vertical equilibrium transition trajectory of the vertical abundance / deficient situation.

[0091] Based on the water migration patterns, migration speeds, and water distribution patterns presented in the vertical equilibrium transition trajectory, the actual operational patterns of rainwater replenishment, water consumption, and water migration during the water cycle of the target building facade are analyzed. Based on these patterns, reasonable upper and lower limits are defined for the overall water cycle balance parameters. The defined upper and lower limits are then systematically integrated to form the dynamic fluctuation threshold of the overall water cycle balance parameters.

[0092] During the long-term operation of the water circulation system on the exterior of the target building, the actual changes in the dynamic fluctuation threshold are continuously and uninterruptedly tracked and recorded. The actual drift state of the dynamic fluctuation threshold under different rainfall periods and different water demand stages is analyzed. Combined with the long-term replenishment pattern of roof rainwater and the actual water demand pattern of the cultivation substrate, the fixed fluctuation range in which the dynamic fluctuation threshold can maintain the stability of the water circulation is determined. This range is the balance maintenance interval of the overall water circulation balance parameters.

[0093] The beneficial effects include: vertically stratifying the water content of the substrate in the water storage cultivation system to determine the vertical abundance or scarcity status, accurately grasping the water distribution at each level of the substrate on the building facade, and providing a direct basis for water cycle calibration. Determining water replenishment anchor points based on water abundance or scarcity status allows for precise location of appropriate rainwater inflow points, improving the targeting of rainwater replenishment. Investigating the substrate pore absorption capacity accurately verifies the actual rainwater holding capacity of the replenishment points, avoiding over-watering. Triggering siphon drainage to form a vertically balanced transition trajectory enables the orderly migration of water from abundant to scarce areas, making the vertical distribution of substrate water more balanced. Re-planning dynamic fluctuation thresholds based on the migration trajectory allows water cycle parameters to conform to actual operating patterns. Long-term tracking to determine the balance maintenance range enables dynamic adaptive calibration of overall water cycle parameters, ensuring the stable operation of the building facade water cycle system and providing a continuous and stable water environment for vertical greening.

[0094] 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.

[0095] 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.

[0096] 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 water-storage rainwater pipe vertical greening system for green buildings, characterized in that, The system includes a rainwater purification module, a gravity diversion simulation module, a water storage and control module, an infiltration and suction simulation module, an infiltration replenishment module, and a water cycle balance calibration module, wherein: The rainwater purification module is used to perform diversion and pollution interception analysis on the roof rainwater runoff data of the target building facade to obtain the purified rainwater characteristic value of the roof rainwater runoff data. The gravity diversion simulation module is used to perform gravity diversion simulation on the purified rainwater characteristic value based on the geometric diversion pipe parameters of the target building facade, and obtain the layered transport rainwater distribution of the purified rainwater characteristic value. The water storage linkage control module is used to control the water volume of the layered water storage device on the exterior of the target building based on the layered rainwater distribution and the roof rainwater runoff data, so as to obtain a quantitative rainwater storage quota for the water volume of the layered water storage device. The infiltration and suction simulation module is used to perform infiltration and suction simulation on the quantitative rainwater storage quota to obtain the gradient migration water potential energy of the quantitative rainwater storage quota. The infiltration replenishment module is used to assess the water demand of the cultivation substrate in the exterior of the target building based on the gradient migration water potential energy, and obtain the water retention index of the cultivation substrate in the exterior of the target building. The water cycle balance calibration module is used to dynamically and adaptively calibrate the overall water cycle balance parameters of the target building facade based on the water storage cultivation index and the purified rainwater characteristic value, so as to obtain the balance maintenance range of the overall water cycle balance parameters.

2. The water-storage rainwater pipe vertical greening system for green buildings as described in claim 1, characterized in that, When the rainwater purification module performs stream diversion and pollution interception analysis on the roof rainwater runoff data of the target building facade to obtain the purified rainwater characteristic values ​​of the roof rainwater runoff data, it is specifically used for: The roof rainwater runoff data of the target building facade is sliced ​​by time-series rainfall intensity to obtain the time period segments of the roof rainwater runoff data that are discarded. The pollution load of the diversion period segment is removed to obtain the discarded pollution components of the diversion period segment; Based on the discarded pollutant components, the remaining runoff of the roof rainwater runoff data is recombined to obtain the runoff data to be purified from the roof rainwater runoff data. Based on Stokes' law, suspended particle settling tracking is performed on the runoff data to be purified to obtain the particle settling trajectory of the runoff data to be purified. Based on the particle settling trajectory, the sedimentary phase material is stripped from the runoff data to be purified to obtain the sedimentation purified runoff data of the roof rainwater runoff data. The water quality cleanliness level of the sedimentation and purification runoff data is calibrated to obtain the purified rainwater characteristic value of the roof rainwater runoff data.

3. A water-storage rainwater pipe vertical greening system for green buildings as described in claim 1, characterized in that, When the gravity diversion simulation module performs gravity diversion simulation on the purified rainwater characteristic values ​​based on the geometric diversion pipe parameters of the target building facade to obtain the stratified transport rainwater distribution of the purified rainwater characteristic values, it is specifically used for: The geometric diversion pipe parameters of the target building facade are decomposed into a connected hierarchy to obtain the hierarchical topology of the geometric diversion pipe parameters. Based on the hierarchical topology, the path optimization of the purified rainwater feature values ​​is performed to obtain the preferred delivery path of the purified rainwater feature values. The inlet flow of the priority transport path is monitored, and based on the monitoring results, the load pattern of the priority transport path is identified to obtain the load imbalance indicator of the priority transport path. Based on the load imbalance identifier, the imbalanced flow of the priority delivery path is resolving flow conflicts to obtain the balanced flow ratio of the imbalanced flow. Based on the balanced flow ratio and the hierarchical topology, the purified rainwater characteristic values ​​are aggregated and arranged layer by layer to obtain the hierarchical transport rainwater distribution of the purified rainwater characteristic values.

4. A water-storage rainwater pipe vertical greening system for green buildings as described in claim 3, characterized in that, When the gravity diversion deduction module performs path traversal optimization based on the hierarchical topology to obtain the preferred transport path for the purified rainwater feature values, it is specifically used for: The purified rainwater characteristic value is analyzed by load state analysis to obtain the flow load characteristic of the purified rainwater characteristic value; Based on the hierarchical topology, the candidate paths for the purified rainwater feature values ​​are geometrically decomposed to obtain the geometric parameter set of the candidate paths; Based on the geometric parameter set and the flow load characteristics, path potential energy analysis is performed on the candidate paths to obtain the priority transport index of the candidate paths. The formula for calculating the priority transport index is as follows: ； In the formula, For the first The priority delivery index of the candidate routes, For the geometric parameter set, the first The elevation difference of the candidate paths For the first The length of the candidate paths, The preset potential energy gain index, The preset self-load suppression coefficient, The first of the flow load characteristics Instantaneous traffic load of candidate paths, For the geometric parameter set, the first The rated capacity of each candidate path, The preset load sensitivity index, The preset downstream coupling coefficient, For the hierarchical topology architecture, the first The set of downstream branches of the candidate paths. For the path index of the downstream branch set, For the downstream branch path of the flow load characteristics Instantaneous flow load, For the downstream branch path in the geometric shunt pipe fitting parameters Rated capacity; Based on the priority transport index, the candidate paths are evaluated to determine their merits, thereby obtaining the priority transport path with the purified rainwater characteristic value.

5. A water-storage rainwater pipe vertical greening system for green buildings as described in claim 1, characterized in that, When the water storage linkage control module performs level-linked control of the water volume of the layered water storage device on the exterior of the target building based on the layered rainwater distribution and the roof rainwater runoff data, and obtains a quantitative rainwater storage quota for the layered water storage device, it is specifically used for: By performing layer-by-layer flow analysis on the layered rainwater distribution, the layered instantaneous inflow flux of the layered rainwater distribution is obtained; Based on the roof rainwater runoff data, the overload risk of the instantaneous inflow flux of the stratified water storage device is identified, and the overflow floor identifier of the water volume of the stratified water storage device is obtained. Based on the overflow floor identifier, the water volume of the layered water storage device on the exterior of the target building is prioritized to obtain the priority water inlet sequence of the exterior of the target building. Based on the water demand prediction of the priority water intake sequence, the expected water replenishment demand of the stratified water storage device is obtained; Based on the expected water replenishment demand and the priority water intake sequence, the water intake quota of the stratified water storage device is subject to competition, and a quantitative rainwater storage quota of the stratified water storage device is obtained.

6. A water-storage rainwater pipe vertical greening system for green buildings as described in claim 5, characterized in that, When the water storage linkage control module executes a water quota competition based on the expected water replenishment demand and the priority water inflow sequence to obtain a quantitative rainwater storage quota for the stratified water storage device, it is specifically used for: The instantaneous inflow flux of the layered rainwater distribution is accumulated layer by layer to obtain the total accumulated instantaneous inflow flux of the layered distribution. Based on the accumulated total and the roof rainwater runoff data, the total inflow of water to the layered water storage device is determined to obtain the current total available water volume of the target building facade. Based on the current total available water volume and the stratified instantaneous inflow flux, the risk level of the water volume of the stratified water storage device is determined to obtain the overflow risk coefficient of the target building facade. The priority weighting factor of the water volume of the stratified water storage device is obtained by performing a weighted solution on the priority water intake sequence. Based on the expected water replenishment demand and the overflow risk coefficient, the competitive equilibrium adjustment factor of the water volume of the stratified water storage device is calculated, wherein the calculation formula of the competitive equilibrium adjustment factor is: ； In the formula, This refers to the competitive equilibrium adjustment factor. The floor index for the exterior facade of the target building. The total number of floors on the exterior facade of the target building. The first one in the exterior facade of the target building The expected water replenishment needs of the layer The first one in the exterior facade of the target building Overflow risk coefficient of the layer The first one in the exterior facade of the target building Layer priority weight factor, This refers to the current total available water volume; Based on the competitive equilibrium adjustment factor, the expected water replenishment demand and the overflow risk coefficient are weighed to obtain the quantitative rainwater storage quota of the stratified water storage device.

7. A water-storage rainwater pipe vertical greening system for green buildings as described in claim 1, characterized in that, When the infiltration and suction simulation module performs an infiltration and suction simulation on the quantitatively stored rainwater quota to obtain the gradient migration water potential energy of the quantitatively stored rainwater quota, it is specifically used for: Vertical elevation analysis was performed on the quantitative rainwater storage quota to obtain a vertical stratification map of the quantitative rainwater storage quota; Based on the vertical stratification map, fiber affinity is used to identify the quantitative rainwater storage quota, and the priority suction level of the quantitative rainwater storage quota is obtained. The rhizosphere water deficit rate of the priority suction level is continuously tracked to obtain the dynamic suction driving force of the priority suction level. Based on the dynamic suction driving force, the water migration potential energy of the priority suction level is fused to obtain the gradient migration water potential energy of the quantitative rainwater storage quota.

8. A water-storage rainwater pipe vertical greening system for green buildings as described in claim 1, characterized in that, When the infiltration recharge module performs an infiltration recharge assessment of the water demand status of the cultivation substrate in the target building facade based on the gradient migration water potential energy, and obtains the water retention index of the target building facade, it is specifically used for: The water shortage level of the cultivation substrate on the exterior facade of the target building was analyzed at multiple points to obtain the water stress level of the cultivation substrate; Based on the water stress level, the cultivation substrate is topologically reconstructed to obtain a three-dimensional water shortage distribution map of the cultivation substrate; Based on the gradient migration water potential energy, the transport path of the three-dimensional water shortage distribution map is matched to obtain the targeted recharge area of ​​the three-dimensional water shortage distribution map; The targeted supply area is allocated a fixed quota layer by layer to obtain the point-by-point supply quota of the targeted supply area; Based on the point-to-point replenishment amount, the infiltration and absorption process of the cultivation substrate is monitored throughout to obtain the increase in the water retention of the cultivation substrate. The incremental water content of the storage trough is integrated to obtain the water content index for cultivation of the target building facade.

9. A water-storage rainwater pipe vertical greening system for green buildings as described in claim 8, characterized in that, When the osmotic recharge module performs topological reconstruction of the cultivation substrate based on the water demand urgency level to obtain a three-dimensional water shortage distribution map of the cultivation substrate, it is specifically used for: Based on the water urgency level, the cultivation substrate is prioritized to identify water competition nodes in the cultivation substrate. The pore connectivity of the water-competing nodes is reconstructed to obtain the hydraulic correlation diagram between the nodes of the water-competing nodes. Based on the hydraulic correlation graph between the nodes, the water competition nodes are clustered by connected components to obtain the water transport system of the cultivation substrate. Based on the water transport system, the water competition nodes are embedded in a vertical elevation hierarchy to obtain the vertical water transport architecture of the cultivation substrate. Based on the vertical water transport architecture and the water demand urgency hierarchy, the water competition nodes are labeled with water demand urgency attributes to obtain a three-dimensional water shortage distribution map of the cultivation substrate.

10. A water-storage rainwater pipe vertical greening system for green buildings as described in claim 1, characterized in that, When the water cycle balance calibration module performs dynamic adaptive calibration of the overall water cycle balance parameters of the target building facade based on the water storage cultivation index and the purified rainwater characteristic value, and obtains the balance maintenance range of the overall water cycle balance parameters, it is specifically used for: Vertical distribution tomographic scanning was performed on the water index of the water storage cultivation to obtain the vertical abundance / deficiency trend of the water index of the water storage cultivation. Based on the vertical abundance / scarcity pattern, the inflow point of the purified rainwater characteristic value is traced to obtain the water replenishment anchoring point of the purified rainwater characteristic value. The remaining water-holding pores of the surrounding matrix at the water replenishment anchoring point are investigated to obtain the matrix pore absorption capacity at the water replenishment anchoring point. Based on the absorption capacity of the matrix pores, the peak region of the vertical abundance / scarcity state is siphon-triggered to obtain the vertical equilibrium transition trajectory of the vertical abundance / scarcity state. Based on the vertical equilibrium transition trajectory, the upper and lower boundaries of the overall water cycle balance parameters of the target building facade are replanned to obtain the dynamic fluctuation threshold of the overall water cycle balance parameters. By performing long-term drift tracking on the dynamic fluctuation threshold, the balance maintenance range of the overall water cycle balance parameters is obtained.

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