Waterproof and drainage water storage system for planted roof

Abstract

The invention belongs to the technical field of prevention, drainage and water storage, and discloses a planting roof drainage and water storage system which comprises an intelligent drainage module, an intelligent water storage module, an environment monitoring and regulating module and a plant growth assisting module. The intelligent drainage module, the intelligent water storage module, the environment monitoring and regulation module and the plant growth assisting module cooperate with one another, and intelligent management of the planting roof water prevention, drainage and storage process and optimization of the plant growth environment are achieved. Through mutual cooperation of the intelligent drainage module, the intelligent water storage module, the environment monitoring and regulation module and the plant growth assisting module, comprehensive intelligent management of the planting roof water prevention, drainage and storage process and precise optimization of the plant growth environment are achieved. In practical application, each module dynamically adjusts the operation state according to data monitored in real time, and the defect that each part of a traditional planting roof system operates independently and is lack of collaboration is avoided.

Description

Technical Field

[0001] This invention relates to the field of water prevention, drainage and storage technology, and in particular to a water prevention, drainage and storage system for green roofs. Background Technology

[0002] With the acceleration of urbanization, urban land resources are becoming increasingly scarce, and urban ecological and environmental problems are becoming more prominent, such as the intensification of the heat island effect and the decline in air quality. Green roofs, as an effective urban greening method, can increase green vegetation coverage in limited urban spaces, improve the urban ecological environment, and have many advantages such as regulating temperature, purifying air, reducing noise, and reducing rainwater runoff. Therefore, they have been widely used and developed.

[0003] However, existing green roof systems face numerous challenges in practical applications. On the one hand, significant regional differences in climate, with frequent variations in rainfall, temperature, and humidity, place high demands on the drainage and water retention capabilities of green roofs. On the other hand, plant growth requires suitable environmental conditions, including water, light, temperature, and humidity. Providing precise growth environment guarantees based on plant growth stages and actual needs is crucial for improving the quality of plant growth and ecological benefits of green roofs. Furthermore, with increasing awareness of quality of life and environmental protection, higher demands are being placed on the intelligence, energy efficiency, and sustainability of green roof systems.

[0004] Furthermore, traditional green roof systems typically consist of multiple independent modules, such as drainage, water storage, environmental monitoring, and plant maintenance, lacking an effective coordination mechanism between these modules. During rainfall, the drainage module may fail to detect changes in roof water levels in a timely manner, leading to water accumulation on the roof and compromising its structural safety. Meanwhile, the water storage module may suffer from over- or under-storage due to a lack of comprehensive consideration of weather and plant water requirements. Simultaneously, the environmental monitoring and plant maintenance modules often operate independently, failing to adjust maintenance strategies promptly based on real-time environmental data and plant growth indicators, resulting in a poor growing environment for plants and negatively impacting plant growth quality and ecological benefits.

[0005] Finally, traditional drainage systems typically employ fixed drainage methods, failing to dynamically adjust drainage flow based on actual roof water levels and rainfall intensity. In light rainfall, excessive flow can lead to water waste; conversely, heavy rainfall can cause roof flooding and even leaks due to delayed drainage. Furthermore, traditional drainage systems lack intelligent control mechanisms, requiring manual operation and monitoring, increasing management costs and hindering timely responses to sudden rainfall events. Operational decisions rely primarily on human experience and simple rules, lacking analysis and mining of extensive historical and real-time data. Given the significant environmental variations in green roofs across different regions and climates, human experience often struggles to accurately predict future environmental changes and plant growth trends, resulting in a lack of scientific rigor and foresight in system operation.

[0006] To address this, we have developed a green roof drainage and water storage system. Summary of the Invention

[0007] The purpose of this invention is to solve the problems in the prior art by proposing a water prevention, drainage and storage system for green roofs.

[0008] To achieve the above objectives, the present invention adopts the following technical solution:

[0009] A water-control and drainage system for green roofs includes an intelligent drainage module, an intelligent water storage module, an environmental monitoring and control module, and a plant growth assistance module. The intelligent drainage module, intelligent water storage module, environmental monitoring and control module, and plant growth assistance module cooperate with each other to achieve intelligent management of the water control and drainage process of the green roof and optimization of the plant growth environment.

[0010] Preferably, the intelligent drainage module includes an intelligent flow control valve installed in the drainage pipe and a water level sensor connected to the intelligent flow control valve; the water level sensor is used to monitor the water level height in different areas of the roof in real time and transmit the data to the intelligent control system; the intelligent control system sends a command to the intelligent flow control valve according to a preset water level threshold to adjust the valve opening to control the drainage flow.

[0011] Preferably, the intelligent water storage module adopts a multi-layer water storage structure, with each layer of water storage unit equipped with an independent water level sensor and an outlet control valve; the intelligent control system formulates water storage and water supply strategies based on weather forecast information fed back by the environmental monitoring and control module and plant water requirement information fed back by the plant growth assistance module, and intelligently controls the water inlet status and the opening of the outlet control valve of each layer of water storage unit.

[0012] Preferably, the environmental monitoring and control module includes temperature sensors, humidity sensors, light sensors, and air quality sensors arranged at different locations on the roof. The sensors transmit the monitored data in real time to the intelligent control system. The intelligent control system analyzes and judges the monitoring data according to the preset range of plant growth environment parameters, and automatically adjusts the roof environment, including activating shading devices, misting cooling systems, irrigation systems, supplemental lighting, or ventilation equipment.

[0013] Preferably, the plant growth assistance module includes a plant growth sensor, which is at least one of a leaf humidity sensor and a stem diameter sensor; the plant growth sensor monitors the plant's growth indicators in real time, and the intelligent control system analyzes the monitoring data according to a preset plant growth model, judges the plant's growth status, and controls the irrigation system or fertilization system to provide targeted maintenance measures for the plant based on the results.

[0014] Preferably, it also includes a big data-based intelligent decision-making system; the intelligent decision-making system collects environmental data, plant growth data, and drainage and water storage system operation data of the green roof under different regions and climate conditions to establish a big data database; it uses machine learning algorithms to analyze and mine the data in the database to establish an intelligent decision-making model; the intelligent decision-making model predicts the roof's drainage demand, water storage demand, and plant growth trend in the future based on real-time environmental data and plant growth data, and formulates corresponding control strategies in advance.

[0015] Preferably, it also includes devices related to energy self-sufficiency and intelligent management technology; solar photovoltaic panels and wind turbines are installed on the green roof to convert solar and wind energy into electrical energy; and an intelligent energy management system is provided, which monitors the generation and consumption of energy in real time and allocates electrical energy reasonably according to the operating needs of each module of the system.

[0016] Preferably, it also includes remote monitoring and fault diagnosis technology related devices; establishes a remote monitoring platform to transmit real-time data of the green roof drainage and water storage system to the remote monitoring center via a wireless network; the system has fault diagnosis function, automatically detects abnormal operation of each module, and sends alarm information to the management personnel through the remote monitoring platform.

[0017] Preferably, the intelligent decision-making model adjusts the water supply plan of the intelligent water storage module in advance based on the changing patterns of water demand of plants at a certain growth stage under specific climatic conditions in historical data.

[0018] Preferably, the intelligent energy management system prioritizes storing excess electrical energy in batteries during periods of sufficient sunlight and strong winds; and automatically adjusts the operating modes of each module to reduce energy consumption at night or when energy supply is insufficient.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0020] 1. This green roof drainage and water storage system achieves comprehensive intelligent management of the green roof's drainage and water storage process and precise optimization of the plant growth environment through the collaborative operation of intelligent drainage, intelligent water storage, environmental monitoring and control, and plant growth support modules. In practical applications, each module dynamically adjusts its operating status based on real-time monitoring data, avoiding the drawbacks of traditional green roof systems where each part operates independently and lacks coordination. For example, during rainfall, the intelligent drainage module adjusts the drainage flow in a timely manner based on data from the water level sensor to prevent water accumulation on the roof; simultaneously, the intelligent water storage module stores water rationally based on weather forecasts and plant water requirements, ensuring roof safety while reserving water resources for plant growth. The environmental monitoring and control module monitors and adjusts roof environmental parameters in real time, ensuring that plants are always in a suitable growth environment, while the plant growth support module provides targeted maintenance based on plant growth indicators. This comprehensive collaborative management allows the green roof to better adapt to different climatic conditions and plant growth stages, improving the overall performance and reliability of the system and significantly enhancing the ecological benefits and usability of the green roof.

[0021] 2. The intelligent drainage module combines a water level sensor with an intelligent flow control valve, dynamically adjusting the drainage flow rate based on the actual water level on the roof, achieving precise drainage control. By setting reasonable water level thresholds and flow adjustment formulas, the system can accurately calculate the required drainage flow rate based on different rainfall intensities and roof water levels, and promptly adjust the opening of the intelligent flow control valve. This precise drainage method avoids the problems of traditional drainage systems, such as either insufficient drainage leading to roof flooding or excessive drainage causing water waste. In actual operation, when the roof water level reaches the drainage activation threshold, the system can respond quickly and drain water according to the calculated flow rate, effectively controlling the roof water level and ensuring the safety of the roof structure.

[0022] 3. The big data-based intelligent decision-making system collects and analyzes a large amount of data related to green roofs in different regions and under different climatic conditions. It has established an intelligent decision-making model that can accurately predict the roof's drainage and water storage needs, as well as plant growth trends, over a future period based on real-time environmental and plant growth data, and formulate corresponding control strategies in advance. In practical applications, the system uses machine learning algorithms such as linear regression to mine historical data, obtaining a model showing the relationship between key parameters such as rainfall and drainage flow. Attached Figure Description

[0023] Figure 1 This is a system block diagram of a green roof water prevention, drainage and storage system proposed in this invention. Detailed Implementation

[0024] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0025] In practical application, the first step in installing the various modules of this green roof drainage and water storage system on the green roof is to install them according to the design plan. After the intelligent drainage module, intelligent water storage module, environmental monitoring and control module, and plant growth assistance module are connected and their wiring is in place, the system is debugged.

[0026] During the commissioning phase, initial parameters for each module are set, such as the range and alarm threshold of the water level sensor in the intelligent drainage module, and the upper limit of the water storage capacity of each layer of water storage units in the intelligent water storage module. During commissioning, different intensities of rainfall are simulated, and the system's operating status is observed.

[0027] When light rain occurs, only a small amount of water accumulates on the roof. The water level sensor in the intelligent drainage module detects that the water level is below the set drainage activation threshold. At this time, the intelligent flow control valve of the drainage pipe remains closed, and the accumulated water mainly relies on the roof's slope to slowly drain away naturally. Simultaneously, the intelligent water storage module, based on feedback from the environmental monitoring and control module that the current weather is light rain with a low probability of subsequent rainfall, does not open the inlet control valve to store water. The environmental monitoring and control module monitors roof environmental parameters in real time, such as temperature of 25℃, humidity of 60%, light intensity of 3000 lux, and good air quality. All parameters are within the suitable range for plant growth, and no adjustment equipment needs to be activated. The plant growth assistance module monitors that the plant leaf humidity is normal and the stem growth rate is as expected, so no special maintenance operations are required.

[0028] After a period of operation, the system is stable and reliable, and the modules work well together. It can effectively cope with light rain, ensure basic drainage of the roof and normal growth environment for plants. The results verify the feasibility of the system under light rain conditions.

[0029] During the implementation of the intelligent drainage module, water level sensors are installed in key locations such as low-lying areas of the roof and near the inlet of drainage pipes. For example, on a 1,000-square-meter green roof, 20 water level sensors are installed, following the principle of one sensor every 50 square meters.

[0030] When rain falls on the roof, suppose at a certain moment a water level sensor in a certain area detects a water level height of... The preset drainage start threshold At this point, the water level sensor transmits the water level data to the intelligent control system. The intelligent control system then determines the appropriate water level based on a preset threshold. At that time, it issues a command to adjust the intelligent flow control valve in the drainage pipe.

[0031] The formula for adjusting the opening of the intelligent flow control valve is: ,in For drainage flow rate, This refers to the flow regulation coefficient; the intelligent flow control valve drains water according to the calculated flow rate. As the roof water level drops, when the water level reaches... In the following situations, the intelligent control system reduces the valve opening until the valve is closed.

[0032] The intelligent water storage module adopts a three-layer water storage structure, with each layer having a water storage unit capacity of [capacity details missing]. , , Total water storage capacity Each water storage unit is equipped with an independent water level sensor and outlet control valve. During rainfall, the environmental monitoring and control module indicates an 80% probability of rainfall in the next 24 hours, with an estimated rainfall of 30mm. (Based on roof area...) The total expected rainfall can be calculated. .

[0033] Based on the above information, the intelligent control system formulates a water storage strategy, first opening the inlet control valve of the upper water storage unit to begin water storage. When the water level sensor in the upper water storage unit detects that the water level has reached the upper limit, meaning the storage volume has reached its maximum... If rainfall continues and the total expected rainfall has not been fully stored, open the inlet control valve of the middle layer water storage unit. If rainfall continues after the middle layer is full, then open the inlet control valve of the lower layer water storage unit.

[0034] During drought periods, the plant growth support module provides feedback on plant water requirements, assuming the plant's daily water requirement is... The intelligent control system formulates a water supply strategy based on the remaining water volume in the storage units and the water requirements of the plants, opening the outlet control valves sequentially from the lower storage units upwards. If the lower storage units have remaining water... This can meet the water needs of plants for 20 ÷ 5 = 4 days. When the water volume in the lower water storage unit is insufficient, the outlet control valve of the middle water storage unit will be opened to continue supplying water.

[0035] When implementing a big data-based intelligent decision-making system, the system first collects environmental data, plant growth data, and water storage and drainage system operation data from 100 green roofs in different regions (such as arid regions in the north and rainy regions in the south) over the past 5 years, and establishes a big data database containing 100,000 data records.

[0036] By utilizing linear regression algorithms from machine learning to analyze and mine data in a database, intelligent decision-making models can be established. For example, analyzing rainfall... (Unit: mm) and roof drainage flow rate The relationship between (unit: L / s) is assumed to be based on the model formula obtained through linear regression analysis. ,in and These are the regression coefficients. They are obtained through learning and calculation using a large amount of data. , ,Right now .

[0037] When the real-time monitoring shows that the rainfall is Substituting this into the model formula yields the drainage flow rate. The intelligent decision-making system adjusts the opening of the intelligent flow control valve in the intelligent drainage module in advance based on the calculated drainage flow rate, ensuring that the drainage system can discharge rainwater in a timely and effective manner.

[0038] Meanwhile, the intelligent decision-making system adjusts the water supply plan of the intelligent water storage module in advance based on historical data showing the changing patterns of plant water requirements at a specific growth stage under specific climatic conditions. For example, historical data shows that during periods of sustained high temperatures and low rainfall, plants require 30% more water during their flowering period than usual. When the intelligent decision-making system predicts that sustained high temperatures and low rainfall will occur in the coming week and that plants are about to enter their flowering period, it increases the water storage capacity of the intelligent water storage module in advance and adjusts the water supply strategy to provide sufficient water for the plants during the flowering period.

[0039] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A water prevention, drainage, and storage system for a green roof, characterized in that, It includes an intelligent drainage module, an intelligent water storage module, an environmental monitoring and control module, and a plant growth auxiliary module; the intelligent drainage module, intelligent water storage module, environmental monitoring and control module, and plant growth auxiliary module work together to achieve intelligent management of the water prevention, drainage and storage process of the green roof and optimization of the plant growth environment.

2. The green roof drainage and water storage system according to claim 1, characterized in that, The intelligent drainage module includes an intelligent flow control valve installed in the drainage pipe and a water level sensor connected to the intelligent flow control valve; the water level sensor is used to monitor the water level in different areas of the roof in real time and transmit the data to the intelligent control system; the intelligent control system sends a command to the intelligent flow control valve according to a preset water level threshold to adjust the valve opening to control the drainage flow.

3. The green roof drainage and water storage system according to claim 1, characterized in that, The intelligent water storage module adopts a multi-layer water storage structure, with each layer of water storage unit equipped with an independent water level sensor and an outlet control valve. The intelligent control system formulates water storage and supply strategies based on weather forecast information fed back by the environmental monitoring and control module and plant water requirement information fed back by the plant growth assistance module, and intelligently controls the water inlet status and the opening of the outlet control valve of each layer of water storage unit.

4. The green roof drainage and water storage system according to claim 1, characterized in that, The environmental monitoring and control module includes temperature sensors, humidity sensors, light sensors, and air quality sensors arranged at different locations on the roof. The sensors transmit the monitored data in real time to the intelligent control system. The intelligent control system analyzes and judges the monitoring data according to the preset range of plant growth environment parameters, and automatically adjusts the roof environment, including activating shading devices, misting cooling systems, irrigation systems, supplemental lighting, or ventilation equipment.

5. The green roof drainage and water storage system according to claim 1, characterized in that, The plant growth assistance module includes a plant growth sensor, which is at least one of a leaf humidity sensor and a stem diameter sensor. The plant growth sensor monitors the plant's growth indicators in real time. The intelligent control system analyzes the monitoring data according to a preset plant growth model, judges the plant's growth status, and controls the irrigation system or fertilization system to provide targeted maintenance measures for the plant based on the results.

6. The green roof drainage and water storage system according to any one of claims 1-5, characterized in that, It also includes a big data-based intelligent decision-making system; the intelligent decision-making system collects environmental data, plant growth data, and drainage and water storage system operation data of green roofs under different regions and climate conditions to establish a big data database; it uses machine learning algorithms to analyze and mine the data in the database to establish an intelligent decision-making model; the intelligent decision-making model predicts the drainage demand, water storage demand, and plant growth trend of the roof in the future based on real-time environmental data and plant growth data, and formulates corresponding control strategies in advance.

7. The green roof drainage and water storage system according to any one of claims 1-5, characterized in that, It also includes devices related to energy self-sufficiency and intelligent management technologies; solar photovoltaic panels and wind turbines are installed on the green roof to convert solar and wind energy into electrical energy; and an intelligent energy management system is provided, which monitors the generation and consumption of energy in real time and allocates electrical energy rationally according to the operating needs of each module of the system.

8. The green roof drainage and water storage system according to any one of claims 1-5, characterized in that, It also includes remote monitoring and fault diagnosis technology devices; establishes a remote monitoring platform to transmit real-time data of the green roof drainage and water storage system to the remote monitoring center via wireless network; the system has fault diagnosis function, automatically detects abnormal operation of each module, and sends alarm information to the management personnel through the remote monitoring platform.

9. The green roof drainage and water storage system according to claim 6, characterized in that, The intelligent decision-making model adjusts the water supply plan of the intelligent water storage module in advance based on the changing patterns of water demand of plants at a certain growth stage under specific climatic conditions in historical data.

10. The green roof drainage and water storage system according to claim 7, characterized in that, The intelligent energy management system prioritizes storing excess electrical energy in batteries during periods of sufficient sunlight and strong winds; at night or when energy supply is insufficient, it automatically adjusts the operating modes of each module to reduce energy consumption.

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