Weather forecast-based intelligent blue-green roof regulation and control system and method
Through the intelligent blue-green roof control system based on meteorological forecasting, the water storage and drainage strategies are optimized using sensors and intelligent control modules, the overflow risk and insufficient water resource utilization of traditional blue-green roof systems in extreme weather is solved, and the rainfall peak shaving and water resources are achieved efficiently, improving flood control efficiency and ecological benefits.
Patent Information
- Application Number
- CN202510746509.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-05
- Publication Date
- 2025-08-26
AI Technical Summary
Traditional blue-green roof systems lack intelligent regulation capabilities in the context of climate change, have a single function of water storage tanks, fail to make full use of water resources, and have a high risk of overflow under extreme weather.
The intelligent blue-green roof control system based on meteorological forecasting is adopted to dynamically optimize the water storage and drainage strategies through meteorological forecast data and real-time monitoring information, combine sensors to monitor soil moisture, humidity and water level, and intelligently control the water inlet, irrigation, water supply and abandonment of the water storage tank to achieve multi-target optimization of rainfall peak shaving and water resource utilization.
It has improved the flood control efficiency of blue and green roofs, improved the utilization rate of rainwater resources, improved the urban heat island effect, provided technical support for urban flood risk prevention and control and micro-climate regulation, and helped the construction of sponge cities.
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Figure CN120537302A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of sponge cities, and in particular to a smart blue-green roof control system and method based on weather forecasts. Background Art
[0002] As global climate change intensifies, extreme rainfall events in cities are showing a significant trend of increasing frequency and intensity. Urban stormwater management faces severe challenges, including increased peak runoff and overloaded drainage systems. Rooftops in large and medium-sized Chinese cities typically account for 30% to 60% of urban land, making rooftop spaces a critical interface for urban stormwater management. As a representative measure of sustainable stormwater management, blue-green roofs play an important role in alleviating urban stormwater management pressures.
[0003] However, traditional blue-green roof systems mostly adopt a passive storage and drainage design, and their technical solutions generally have the following limitations: First, the functional positioning of the water tank is single, and existing technologies generally simply correspond the water storage capacity to the plant irrigation needs. The remaining water is slowly released through the drainage layer or released in advance before heavy rain is forecast. This fails to fully utilize its water supply potential and causes the water storage capacity to remain idle for a long time; second, the water storage volume control method lacks foresight. The storage and drainage operations of existing blue roofs mostly rely on on-site water level monitoring and fail to form a coordinated decision with meteorological forecast data, which easily increases the risk of overflow in extreme weather such as heavy rain.
[0004] There is an urgent need to develop a blue-green roof control system and method with intelligent control and multi-objective coupling to address the resilience of the blue-green roof system under the background of climate change. Summary of the Invention
[0005] To solve the problems existing in the background technology, the present invention proposes a smart blue-green roof control system and method based on weather forecast, which is climate-adaptive and dynamically optimizes the storage and drainage strategy through weather forecast data and real-time monitoring information to achieve multi-objective optimization of rainwater peak regulation, water resource utilization and ecological benefits.
[0006] To achieve the above objectives, the present invention adopts the following scheme: a smart blue-green roof control system based on weather forecast, including a blue-green roof module, a water tank and a water storage intelligent control module, the water storage intelligent control module is electrically connected to the blue-green roof module and the water tank, respectively; the blue-green roof module is provided with a vegetation layer, a growth matrix layer and a drainage layer from top to bottom, the drainage layer and the vegetation layer are respectively connected to the water tank, and the water tank is also connected to a waste flow pipe.
[0007] Optionally, a soil moisture sensor is provided in the vegetation layer, a soil humidity sensor is provided in the growth matrix layer, and a water level monitoring sensor is provided in the water storage tank, and the soil moisture sensor, soil humidity sensor, and water level monitoring sensor are electrically connected to the water storage capacity intelligent control module.
[0008] Optionally, the water tank is provided with a water inlet, an irrigation inlet, a water supply inlet and a waste outlet. The water inlet is arranged at the upper part of the water tank and is permanently connected to the drainage layer through an inlet pipe. The irrigation inlet is connected to the vegetation layer through an irrigation pipe. The water supply inlet supplies water externally through a water supply pipe. The waste outlet is connected to an external pipe network drainage system through a waste pipe. The irrigation pipe, water supply pipe and waste pipe are all provided with a one-way solenoid valve.
[0009] A control method for a smart blue-green roof control system based on weather forecasts comprises the following steps: Step 1, storing water in a water storage tank: during precipitation, when the water content of the growth matrix layer reaches the saturated water content, the excess water in the growth matrix layer passes through the drainage layer and the water inlet pipe in sequence and enters the water storage tank for storage; Step 2: Water tank irrigation: When the soil moisture sensor in the growth matrix layer detects that its water content does not meet the plant's evaporation, the water storage intelligent control module automatically opens the irrigation pipe of the water tank to give priority to replenishing water to the vegetation layer; Step 3: Water supply from the water tank: When the soil moisture sensor in the growth matrix layer detects that its moisture content has met the plant evaporation requirements, the water storage intelligent control module automatically opens the water supply pipe of the water tank for external water supply. Step 4, water tank abandonment: According to the weather forecast, i +1 day rainfall, adjust the water storage tank volume in advance or open the discharge channel to connect to the drainage system to avoid overflow.
[0010] Optionally, in step 2, on non-rainy days, the water content in the growth substrate layer is expressed using a constant daily evaporation rate, wherein the evaporation rate on rainy days is not considered. The amount of water stored in the growth substrate layer on day i is expressed as:
[0011] in, The first layer in the growth matrix i Daily evaporation, S g(i-1) Indicates the first i- 1) The amount of water stored in the natural growth medium layer, I gi Representative i The amount of water entering the growth substrate layer per day; Water content entering the growth matrix layer Igi Calculated by the following formula:
[0012] in, I gi Representative i The amount of water entering the growth substrate layer per day; R i Indicates the i daily rainfall; S l are losses due to plant interception and swale storage; S g(i-1) Indicates the first i- 1) The amount of water stored in the natural growth medium layer; S gmax The maximum water storage capacity of the growth matrix layer is expressed by the formula S gmax =( i f – i w ) h Calculate, where i f represents the field water capacity of the growth substrate layer, i w represents the wilting point of the plant, and h represents the thickness of the growth matrix layer.
[0013] Optionally, in step 3, the external water supply of the water storage tank It can be expressed as: in, G t and G l Represents the water supply for toilet flushing and lawn irrigation respectively.
[0014] Optionally, in step 4, regulating the water tank volume specifically includes: Step 4.1, calculate the remaining water storage in the water tank based on the inflow and outflow of the water tank; The inflow into the water tank is calculated using the following formula:
[0015] in, S smax Indicates the maximum water storage capacity of the water tank. S s(i-1) Indicates the first i -1) The amount of water stored in the daily water storage tank; Therefore, the remaining water reserve in the water tank for:
[0016] Step 4.2: Predict the i +1 day's rainfall to calculate system overflow for: Step 4.3, calculate the abandoned flow of the water storage tank as:
[0017] Step 4.4: When the overflow volume is less than or equal to the water tank volume, the water storage intelligent control module automatically opens the discard flow pipe to discard the water according to the overflow volume. The water level monitoring sensor in the water tank monitors in real time and automatically closes the discard flow pipe when the discard flow is equal to the overflow volume.
[0018] Optionally, in step 4.4, when the overflow volume is greater than the water tank volume, the water in the water tank is drained in advance, and on the day of rainfall, when the water level monitoring sensor detects that the water tank is saturated with water, the water storage intelligent control module automatically opens the waste flow pipe to discharge the water into the drainage system.
[0019] The beneficial effects of the present invention are as follows: First, this solution constructs a blue-green roof hydrological model and system with a water supply function, which can effectively simulate the hydrological effects of the blue-green roof in terms of runoff reduction, vegetation water shortage duration, irrigation water demand, and water supply guarantee rate. It overcomes the shortcomings of traditional blue-green roof hydrological models in considering water supply functions and provides a more comprehensive analysis tool for the comprehensive hydrological management and water resource utilization of blue-green roofs.
[0020] Furthermore, by coupling a water tank capacity control method with meteorological forecast rainfall data, a water supply and drainage strategy that dynamically responds to rainfall characteristics has been developed, enabling rainwater collection, storage, and utilization. Compared to traditional fixed-volume designs, this method dynamically adjusts water tank capacity based on real-time rainfall forecasts, significantly improving the matching and utilization of rainwater resources and effectively reducing municipal water supply dependence and irrigation costs.
[0021] In addition, the synergistic effect of the system and method not only improves the flood control efficiency of the blue-green roof, but also ensures vegetation evapotranspiration through precise water supply, which can improve the urban heat island effect, provide dual technical support for urban flood risk prevention and control and microclimate regulation, and help achieve the optimization of water resource utilization and ecological environment improvement in sponge city construction. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 This is a schematic structural diagram of the blue-green roof module of the present invention; Figure 2 This is a flow chart of the smart blue-green roof control method of the present invention; Figure 3The long-term average hydrological performance simulation results of the blue-green roof of the present invention; Figure 4 The hydrological performance of the blue-green roof of the present invention in the summer of extremely wet years.
[0023] Numbers in the figure: 1. Vegetation layer; 2. Growth matrix layer; 3. Drainage layer; 4. Water storage tank; 5. Waste flow pipe; 6. Water inlet pipe; 7. Irrigation pipe; 8. Water supply pipe; 9. One-way solenoid valve. DETAILED DESCRIPTION
[0024] In order to make the present invention clearer and more understandable, the present invention is described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the embodiment given is only one implementation method and does not represent all embodiments.
[0025] Example 1 Combine Figure 1 This embodiment provides a smart blue-green roof control system based on weather forecasts, including a blue-green roof module, a water tank 4, and a water storage intelligent control module. The water storage intelligent control module is electrically connected to the blue-green roof module and the water tank 4, respectively. The blue-green roof module is provided with a vegetation layer 1, a growth matrix layer 2, and a drainage layer 3 from top to bottom. The drainage layer 3 and the vegetation layer 1 are respectively connected to the water tank 4, and the water tank 4 is also connected to a waste flow pipe 5.
[0026] In this embodiment, the drainage layer 3 is only a channel for the movement of water in the blue-green roof, and the water tank 4 serves as the water tank 4 of this system, which can ensure the resource utilization of rainwater. Sensors are provided in both the blue-green roof module and the water tank 4. The water storage intelligent control module can receive meteorological data and signals transmitted by sensors in real time, and supply the stored water for municipal water such as landscape irrigation, building flushing, etc. during non-rainfall periods or discard it as needed. Specifically, a soil moisture sensor is provided in the vegetation layer 1, a soil moisture sensor is provided in the growth matrix layer 2, and a water level monitoring sensor is provided in the water tank 4. The soil moisture sensor, soil moisture sensor and water level monitoring sensor are electrically connected to the water storage intelligent control module respectively.
[0027] The water storage tank 4 is provided with a water inlet, an irrigation inlet, a water supply inlet, and a waste outlet. The water inlet is arranged at the upper portion of the water storage tank 4 and is permanently connected to the drainage layer 3 via a water inlet pipe 6. Once a precipitation event occurs, the vegetation canopy first distributes the initial rainwater through the interception effect of leaves, of which only a small amount of precipitation is intercepted and temporarily consumed by the canopy. The rainfall that exceeds the water holding capacity of the canopy then penetrates into the growth matrix layer 2. The porous medium achieves dynamic water retention through capillary action and matrix adsorption. When the water content of the growth matrix layer 2 reaches a fully saturated state, the excess water, under the action of gravity, passes through the drainage layer 3 and the water inlet pipe 6 in turn into the water storage tank 4 for storage.
[0028] The irrigation port is connected to the vegetation layer 1 via an irrigation pipe 7. The water supply port is supplied externally via a water supply pipe 8. The waste outlet is connected to the external network drainage system via a waste pipe 5. Each of the irrigation pipe 7, water supply pipe 8, and waste pipe 5 is equipped with a one-way solenoid valve 9. When the soil moisture sensor in the growth matrix layer 2 detects that its moisture content has dropped below the plant wilting coefficient (typically 0.05, meaning the moisture content in the growth matrix layer 2 is 5%), the intelligent water storage control module activates the water replenishment mechanism in the water tank 4, opens the irrigation pipe 7, and supplies water from the water tank 4 to the vegetation layer 1, ensuring the growth needs of the vegetation layer 1. During non-rainy periods, in addition to ensuring the evaporation needs of the vegetation, the water in the water tank 4 can be supplied through the water supply channel to municipal water for flushing toilets and other purposes during non-rainy periods. In the case of heavy rainfall, when the rainfall predicted by the weather forecast exceeds the water storage capacity of the control system, overflow will occur. The discard pipe 5 can be connected to the pipe network drainage system in the area to discard the water in advance. On the other hand, in the case of extremely heavy rainfall or rainstorms, even if all the water in the water storage tank 4 is discarded, overflow is likely to occur. In this case, the water in the water storage tank 4 can be emptied in advance, and on the day of rainfall, the water storage intelligent control module can automatically open the discard pipe 5, and the overflowing rainwater can be discharged into the pipe network drainage system in the area through the discard pipe 5.
[0029] Example 2 Combine Figure 2 This embodiment provides a control method for a smart blue-green roof control system based on weather forecasts. It should be noted that in the following calculation process, all hydrological parameters are uniformly quantified based on the roof projected area converted into water depth, and the parameter data is iterative data.
[0030] The control method specifically comprises the following steps: Step 1, storing water in the water tank 4: During precipitation, when the water content of the growth matrix layer 2 reaches the saturated water content, the excess water in the growth matrix layer 2 passes through the drainage layer 3 and the water inlet pipe 6 in sequence and enters the water tank 4 for storage.
[0031] Step 2, irrigation of the water tank 4: When the soil moisture sensor in the growth matrix layer 2 detects that its water content does not meet the evaporation of the plant, the water storage intelligent control module automatically opens the irrigation pipe 7 of the water tank 4 to give priority to supplying water to the vegetation layer 1.
[0032] On non-rainy days, the water in the growth matrix layer 2 is consumed by evaporation. To simplify the calculation, a constant daily evaporation rate is used, in which the evaporation on rainy days is not considered. Then the evaporation on the i-th day in the growth matrix layer 2 is expressed as: , The amount of water stored in the growth matrix layer 2 on day i can be expressed as:
[0033] in, S g(i-1) Indicates the first i- 1) The amount of water stored in the natural growth matrix layer 2, I gi Representative i The amount of water entering the growth matrix layer 2 per day; Water content entering the growth matrix layer 2 I gi Calculated by the following formula:
[0034] in, I gi Representative i The amount of water entering the growth matrix layer 2 per day; R i Indicates the i daily rainfall; S l are losses due to plant interception and swale storage; S g(i-1) Indicates the first i- 1) The amount of water stored in the natural growth substrate layer 2; S gmax The maximum water storage capacity of the growth matrix layer 2 is expressed by the formula S gmax =( i f – i w ) h Calculate, where i f represents the field capacity of the growth substrate layer 2, i w represents the wilting point of the plant, and h represents the thickness of the growth matrix layer 2. iWhen the rainfall on the first day is less than the loss caused by plant interception and depression storage, i The amount of water entering the growth matrix layer 2 on the first day is 0; i The rainfall on the day is greater than the loss caused by plant interception and depression storage but less than the maximum water storage capacity of the growth matrix layer 2 and the first ( i -1) days when the difference in water storage in the growth matrix layer 2 is i The difference between the rainfall on that day and the loss caused by plant interception and depression storage is the i The amount of water that enters the growth matrix layer 2 on the first day; i The rainfall on the day is greater than the loss caused by plant interception and depression storage and greater than the maximum water storage capacity of the growth matrix layer 2 and the first ( i The amount of water entering the growth matrix layer 2 is expressed as the difference between the maximum water storage capacity of the growth matrix layer 2 and the amount of water stored in the growth matrix layer 2 on the first ( i -1) The difference in water storage in the growth matrix layer 2, the excess water will enter the drainage layer 3.
[0035] Step 3, water supply from water tank 4: When the soil moisture sensor in the growth matrix layer 2 detects that its water content has met the plant evaporation, the water storage intelligent control module automatically opens the water supply pipe 8 of the water tank 4 for external water supply. Expressed as: in, G t and G l Represents the daily water demand for flushing toilets and lawn irrigation respectively. t ) and lawn irrigation (G l ) was set to a value range of 0–4 mm for daily water consumption, and in subsequent simulation scenarios, these two parameters were set to 1 mm.
[0036] Step 4, water storage tank 4 abandonment: according to the weather forecast prediction i +1 day rainfall, adjust the volume of water storage tank 4 in advance or open the waste flow channel to connect to the drainage system to avoid overflow.
[0037] Among them, regulating the volume of the water storage tank 4 is mainly for large rainfall. By discharging part of the water in the water storage tank 4 in advance, overflow can be avoided. The method specifically includes: Step 4.1, calculating the remaining water storage in the water storage tank 4 according to the inflow and outflow of the water storage tank 4; The inflow rate of the water storage tank 4 is calculated by the following formula:
[0038] in, Ssmax Indicates the maximum water storage capacity of the water tank 4, S s(i-1) Indicates the first i -1) The amount of water stored in the water storage tank 4, Gt The water supply for flushing toilets. Since the water supply for lawn irrigation is not considered during rainfall, only the water supply for flushing toilets needs to be calculated. Gt The outflow of the water tank 4 is the external water supply of the water tank 4. .
[0039] Therefore, the remaining water storage in the water storage tank 4 for:
[0040] When i When the rainfall on the day is greater than 0, the water in the water tank 4 i The remaining water reserve for the day is represented by the water tank 4 i -1 day's water reserve plus the i The difference between the amount of water entering the water storage tank 4 during the day's rainfall and the external water supply on the i-th day; i The rainfall on the day is equal to 0 and the water tank 4 i -1 day's water storage can also meet the i When the plant evaporates, the water in the water tank 4 i The remaining water reserve for the day is represented by the water tank 4 i -1 day's water storage and i The difference in external water supply during the day; i The rainfall on the day is equal to 0, and the water tank 4 is i -1 day's water reserves cannot directly meet the i Plant evaporation, but the water tank 4 in the first i -1 day's water storage can meet part of the water demand of plant evaporation, which is the additional water required by plants after they use up the water stored in the growth matrix layer 2 during evaporation. In addition, the water storage in the water tank 4 can also meet the demand for external water supply. i The remaining water storage for the day can be expressed as i -1 day water storage minus the water requirement after the plant evaporation uses up the water stored in the growth matrix layer 2, minus the external water supply; i The rainfall on the day is equal to 0, and the water tank 4 is i -1 day's water storage cannot meet the i Plant evaporation and water storage tank 4 i When the water reserve for -1 day cannot satisfy the water demand after the water stored in the growth medium is used up by the plant evaporation and the external water supply, the remaining water reserve in the water storage tank 4 on the i-th day is 0.
[0041] Step 4.2: Predict the i +1 day's rainfall to calculate system overflow for:
[0042] The condition for calculating the overflow is that the water in the water storage tank 4 and the growth matrix layer 2 are both saturated with water, and the system cannot receive excess rainfall.
[0043] Step 4.3, calculate the abandoned flow of water storage tank 4 as:
[0044] Q i The abandoned flow rate of the blue-green roof device is calculated based on the following conditions: according to the weather forecast, the rainfall on the i+1th day will cause the blue-green roof device to overflow. To prevent or reduce the overflow, the water in the water tank 4 is abandoned in advance to control the volume of the water tank 4.
[0045] Step 4.4, when the overflow volume is less than or equal to the volume of the water storage tank 4, the water storage intelligent control module automatically opens the discard flow pipe 5 to discard the flow according to the overflow volume. The water level monitoring sensor in the water storage tank 4 monitors in real time and automatically closes the discard flow pipe 5 when the discard flow is equal to the overflow volume.
[0046] In the case of heavy rainfall or rainstorms, overflow is likely to occur even if all the water in the water tank 4 is discarded. That is, when the overflow is greater than the discard flow, the water storage intelligent control module automatically opens the discard flow pipe 5 and discharges all the water in the water tank 4 in advance through the discard flow pipe 5. On the day of rainfall, once the water level monitoring sensor detects that the water tank 4 is saturated with water, the discard flow pipe 5 will be opened to discharge the water into the pipe network drainage system in the area.
[0047] Simulating the long-term average hydrological performance of green roofs is crucial for sustainable urban development. It helps assess the water management capabilities of rooftops under various climate conditions and predict their long-term runoff control and stormwater utilization. This simulation not only reveals the potential of green roofs to reduce urban flood risk, ameliorate the urban heat island effect, and enhance the urban ecological environment, but also provides a scientific basis for urban planners and decision makers to optimize urban drainage systems and green infrastructure layout. Long-term simulations can better understand the benefits of green roofs across different timescales, thereby promoting their application and promotion in urban water resource management.
[0048] Figure 3 Shows Jinan's flushing water supply G t and lawn irrigation water supplyG l Both are set to 1 mm Under the working conditions, the long-term average runoff reduction rate of the blue green roof ( R r ), water supply reliability ( W s ) and irrigation time ratio ( I t ) Simulation results of the three key indicators changing with the maximum water storage depth of water tank 4.
[0049] The results show that: with the maximum water storage capacity of the water tank 4 S smax From 0 mm to 200 mm mm , traditional blue-green roof without water supply function BGR -1 and a new blue-green roof with water supply function BGR -2 system runoff reduction rates are gradually increasing, including the new blue-green roof with water supply function BGR -2 continues to maintain its advantage with its external water supply function, which can significantly improve the system efficiency by releasing the capacity of the water tank 4. It is worth noting that traditional blue-green roofs without water supply function BGR -1 Due to the lack of external recharge mechanism, its water supply reliability is always 0, while the new blue-green roof with water supply function BGR -2 of this indicator is affected by the maximum water storage capacity S smax Increase and grow linearly.
[0050] Figure 3 Further revealed the maximum water storage capacity S smax Diminishing marginal benefit characteristics of parameters: when the maximum water storage capacity S smax Parameters from 0 mm Increased to 200 mm When the maximum water storage capacity is S smax Continue to increase to 75 mm When the maximum water storage capacity is S smax More than 100 mm After that, the gain effect of the parameter begins to stabilize. Specifically, Figure 3 The simulation results show that at the maximum water storage capacity S smax More than 100 mmBased on this finding, in subsequent simulation studies, the maximum water storage capacity S smax The value is uniformly set to 100 mm .
[0051] Therefore, in this embodiment, when simulating the resilience of the blue green roof under extreme climate conditions, the maximum water storage capacity of the water tank 4 is S smax The value is 100 mm , flushing water supply G t and lawn irrigation water supply G l Both are set to 1 mm Simulating the resilience of blue-green roofs in extreme climates is crucial for evaluating and improving their diverse functions, such as mitigating the urban heat island effect, reducing stormwater runoff, and improving building energy efficiency. Hydrological simulations can predict their performance during the design phase, optimizing their configuration to adapt to extreme conditions like high temperatures and heavy rainfall, and ensuring the stability of urban ecosystems. This type of research not only helps improve cities' climate adaptability but also provides a scientific basis for sustainable development, promoting the overall health of the urban environment and the quality of life of residents.
[0052] Figure 4 The figure shows the hydrological performance of the Green Roof during the summer of 2005, Jinan's wettest year. The figure shows that persistent dry weather in early June caused the Green Roof's water storage to decline continuously, reaching its lowest point in mid-June. Continuous rainfall in early July caused the water storage to recover rapidly, and overflows occurred after heavy rainfall events. Continuous rainfall in July and August kept the water storage high for most of the period, only to begin a gradual decline in early September. Two discharges occurred on July 30 and August 2: 46.48 mm in the former and 77.86 mm in the latter, reducing the overflow by 124.34 mm, exceeding the water demand of Tank 4. This demonstrates that discharges before rainfall can improve the Green Roof's flood control performance.
[0053] In summary, the overflow performance of a green roof during a rainstorm is closely related to its initial water storage capacity. If the initial state of water storage tank 4 can be appropriately adjusted in advance based on weather forecast information, the overflow risk can be effectively reduced, further enhancing the green roof's flood prevention capabilities in extreme wet conditions.
[0054] Therefore, the synergistic effect of the system and method of the present invention not only improves the flood prevention efficiency of blue-green roofs, but also ensures vegetation evapotranspiration through precise water supply, which can improve the urban heat island effect, provide dual technical support for urban flood risk prevention and control and microclimate regulation, and help achieve the optimization of water resource utilization and ecological environment improvement in sponge city construction.
[0055] The above detailed description of the specific embodiments of the present invention is provided in conjunction with the drawings, but the present invention is not limited to the described embodiments. It is apparent to those skilled in the art that various changes, modifications, substitutions, and variations of these embodiments may be made without departing from the principles and spirit of the present invention, and these changes and modifications still fall within the scope of protection of the present invention.
Claims
1. A smart blue-green roof control system based on weather forecast, characterized by: The invention comprises a blue-green roof module, a water storage tank (4) and a water storage capacity intelligent control module, wherein the water storage capacity intelligent control module is electrically connected to the blue-green roof module and the water storage tank (4) respectively; the blue-green roof module is provided with a vegetation layer (1), a growth matrix layer (2) and a drainage layer (3) in order from top to bottom, the drainage layer (3) and the vegetation layer (1) are respectively connected to the water storage tank (4), and the water storage tank (4) is also connected to a waste flow pipe (5).
2. The weather forecast-based intelligent blue-green roof control system according to claim 1, characterized in that: A soil moisture sensor is provided in the vegetation layer (1), a soil humidity sensor is provided in the growth matrix layer (2), and a water level monitoring sensor is provided in the water storage tank (4). The soil moisture sensor, soil humidity sensor, and water level monitoring sensor are electrically connected to the water storage intelligent control module respectively.
3. The weather forecast-based intelligent blue-green roof control system according to claim 2, characterized in that: The water storage tank (4) is provided with a water inlet, an irrigation inlet, a water supply inlet and a waste outlet. The water inlet is provided at the upper portion of the water storage tank (4) and is permanently connected to the drainage layer (3) via a water inlet pipe (6). The irrigation inlet is connected to the vegetation layer (1) via an irrigation pipe (7). The water supply inlet is supplied with water externally via a water supply pipe (8). The waste outlet is connected to an external pipe network drainage system via a waste outlet pipe (5). One-way solenoid valves (9) are provided on the irrigation pipe (7), the water supply pipe (8) and the waste outlet pipe (5).
4. The control method of the smart blue-green roof control system based on weather forecast according to claim 3, characterized in that: The steps include: Step 1, storing water in the water storage tank (4): during precipitation, when the water content of the growth matrix layer (2) reaches the saturated water content, the excess water in the growth matrix layer (2) passes through the drainage layer (3) and the water inlet pipe (6) in sequence and enters the water storage tank (4) for storage; Step 2, water storage tank (4) irrigation: when the soil moisture sensor in the growth matrix layer (2) detects that its water content does not meet the evaporation of the plant, the water storage intelligent control module automatically opens the irrigation pipe (7) of the water storage tank (4) to give priority to supplying water to the vegetation layer (1); Step 3, water supply from the water storage tank (4): the soil moisture sensor in the growth matrix layer (2) detects that its water content has met the plant evaporation requirement, and the water storage intelligent control module automatically opens the water supply pipe (8) of the water storage tank (4) for external water supply; Step 4, water storage tank (4) abandonment: according to the weather forecast, the rainfall on the i+1th day is predicted, and the volume of the water storage tank (4) is adjusted in advance or the abandonment channel is opened to connect to the drainage system to avoid overflow.
5. The control method of the intelligent blue-green roof control system based on weather forecast according to claim 4 is characterized by: In step 2, on non-rainy days, the water content in the growth matrix layer (2) is expressed by a constant daily evaporation rate, wherein the evaporation rate on rainy days is not considered. The amount of water stored in the growth matrix layer (2) on day i is expressed as: in, The first layer in the growth matrix layer (2) i Daily evaporation, S g(i-1) Indicates the first i- 1) The amount of water stored in the natural growth substrate layer (2), I gi Representative i The amount of water that enters the growth substrate layer (2) per day; Water content entering the growth matrix layer (2) I gi Calculated by the following formula: in, I gi Representative i The amount of water that enters the growth substrate layer (2) per day; R i Indicates the i daily rainfall; S l are losses due to plant interception and swale storage; S g(i-1) Indicates the first i- 1) The amount of water stored in the natural growth substrate layer (2); S gmax The maximum water storage capacity of the growth matrix layer (2) is expressed by the formula S gmax =( θ f – θ w ) h Calculate, where θ f represents the field capacity of the growth substrate layer (2), θ w represents the wilting point of the plant, and h represents the thickness of the growth matrix layer (2).
6. The control method of the intelligent blue-green roof control system based on weather forecast according to claim 4, characterized in that: In step 3, the external water supply of the water storage tank (4) It can be expressed as: in, G t and G l Represents the water supply for toilet flushing and lawn irrigation respectively.
7. The control method of the intelligent blue-green roof control system based on weather forecast according to claim 7 is characterized by: In step 4, regulating the volume of the water storage tank (4) specifically includes: Step 4.1, calculating the remaining water storage in the water storage tank (4) based on the inflow and outflow of the water storage tank (4); The inflow rate of the water storage tank (4) is calculated by the following formula: in, S smax represents the maximum water storage capacity of the water tank (4), S s(i-1) Indicates the first i -1) The amount of water stored in the water storage tank (4); Therefore, the remaining water reserve in the water storage tank (4) is for: Step 4.2: Predict the i +1 day's rainfall to calculate system overflow for: Step 4.3, calculate the abandoned flow of water storage tank (4) as: Step 4.4, when the overflow volume is less than or equal to the volume of the water storage tank (4), the water storage intelligent control module automatically opens the discard flow pipe (5) to discard the water according to the overflow volume, and the water level monitoring sensor in the water storage tank (4) monitors in real time, and automatically closes the discard flow pipe (5) when the discard flow is equal to the overflow volume.
8. The control method of the intelligent blue-green roof control system based on weather forecast according to claim 7 is characterized by: In step 4.4, when the overflow volume is greater than the volume of the water storage tank (4), the water in the water storage tank (4) is emptied in advance, and on the day of rainfall, when the water level monitoring sensor detects that the water storage tank (4) is saturated with water, the water storage intelligent control module automatically opens the waste flow pipe (5) to discharge the water into the drainage system.
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