Green space system with rainwater storage function and rainwater storage method

Abstract

The present application relates to the technical field of rainwater regulation and storage, and specifically to a green space system with rainwater regulation and storage function and a rainwater regulation and storage method. The method includes: collecting different parameter values; obtaining the silt deposition effect at the drain outlet according to the difference in the flow rate and flow velocity of the drain outlet itself; obtaining the solid flux based on the drain outlet area, the water flow rate of the inlet and outlet, and the suspended solid concentration; constructing a fitting straight line based on the difference between the solid flux and the suspended solid concentration at the drain outlet and the liquid level difference; obtaining the sludge blockage degree according to the mean square error and silt deposition effect of the fitting straight line and combining the correlation coefficient; setting the objective function based on the sludge blockage degree to obtain the optimal water output, and based on this, controlling the current water output to perform rainwater regulation and storage. The present application eliminates the risks caused by sludge deposition and ensures the normal operation of the regulation and storage system.

Description

Technical Field

[0001] The present application relates to the technical field of rainwater storage and regulation, and in particular to a green space system with rainwater storage and regulation function and a rainwater storage and regulation method. Background Art

[0002] The rainwater storage function can effectively reduce the loss of rainwater resources by integrating rainwater storage facilities into urban green spaces, while reducing peak flow, alleviating urban waterlogging, and improving the utilization efficiency of land resources. With the emphasis on environmental issues, the rainwater storage function green space system can not only reduce peak flow, but also realize the utilization of rainwater resources and the improvement of the ecological environment through storage facilities such as multifunctional storage pools. These facilities can play multiple functions such as urban landscape, park, and green space in the non-rainy season or when there is no heavy rain, and significantly improve the level of scientific management and utilization of urban rain and flood and the benefit-investment ratio. The significance of the rainwater storage function green space system is that it not only solves the urban drainage problem, but also improves the quality of urban living by creating beautiful landscapes and improving the urban ecological environment. Through reasonable design and planning, the rainwater storage function green space system can achieve multiple goals such as flood control and waterlogging reduction, rainwater utilization, and ecological environment improvement, and is an indispensable part of modern urban planning.

[0003] When controlling rainwater storage and regulation, siltation during storage and discharge will have a significant impact on the function and efficiency of the storage and regulation facilities. First, siltation will reduce the effective volume of the storage pool and reduce its ability to store rainwater during heavy rains, thereby weakening the effect of reducing peak flood flows. Second, siltation may cause water quality deterioration, and pollutants in the sediment may re-enter the water body under the scouring of rainwater, increasing the risk of water pollution. In addition, siltation may also cause pipe blockage, affecting the smooth inflow and discharge of rainwater, leading to poor drainage and waterlogging problems. Long-term siltation may also damage the structural integrity of the storage and regulation facilities, increase maintenance costs and safety hazards. The existing green space rainwater storage technology is not accurate enough in self-detecting silt blockage in the system, which is prone to cause the above problems. Summary of the invention

[0004] In order to solve the technical problem of instability of the regulation and storage system caused by siltation, the present application provides a green space system with rainwater regulation and storage function and a rainwater regulation and storage method. The technical solutions adopted are as follows:

[0005] In a first aspect, the present application proposes a rainwater storage method, which comprises the following steps:

[0006] The parameter values ​​of different parameters are collected through different sensors, including the water flow rate at the inlet and outlet, the water flow velocity at the outlet, the suspended solids concentration at the inlet and outlet, and the liquid level of the reservoir;

[0007] The water flow rate of the drainage outlet is used to construct a flow sequence; the flow sequence is divided into preset segments, and the silt deposition factor of the flow sequence is obtained according to the standard deviation and range of the slopes of all segments and the number of segments; the flow velocity sequence is constructed from the water flow velocity of the drainage outlet, the flow velocity sequence is divided into segments, and the silt deposition factor of the flow velocity sequence is obtained according to the standard deviation and range of each segment; the silt deposition effect is obtained according to the silt deposition factors of the flow sequence and the flow velocity sequence;

[0008] Obtain the drainage area of ​​the reservoir, and obtain the solid flux at each moment in combination with the water flow rate and suspended solid concentration at the drainage and inlet at each moment, which is recorded as the ideal solid discharge at each moment; construct a difference sequence based on the difference between the ideal solid discharge and the suspended solid concentration at the drainage, and construct a liquid level sequence based on the liquid level; construct a fitting line using the difference sequence and the liquid level sequence as the dependent variable and the independent variable, respectively; obtain the sludge blockage degree at the drainage outlet based on the correlation coefficient between the liquid level sequence and the difference sequence, the mean square error of the fitting line, and the sludge deposition effect at the drainage outlet;

[0009] The objective function is set based on the sludge blockage degree and the corresponding water output and water inflow at that moment. The optimal water output is found based on the objective function, and the current water output is adjusted to the optimal water output through the PID control algorithm to store rainwater.

[0010] In the above scheme, this application proposes a green space system with rainwater storage function and a rainwater storage method. Aiming at the problem of uneven sludge scouring or deposition in rainwater storage tanks, a piecewise linear regression algorithm is used to reflect the complexity of flow changes, rate differences and range of changes, and solve the intensity and instability assessment of sludge scouring and deposition. Aiming at the risk assessment of sludge blockage at the drain outlet of the reservoir, the least squares linear fitting and Pearson correlation analysis algorithms are used to reflect the strength of the relationship between liquid level changes and suspended solids removal efficiency, and eliminate the influence of newly added suspended solids at the water inlet; so as to realize real-time assessment and early warning of the risk of sludge blockage at the drain outlet of the reservoir; so that it can promptly remind staff to take preventive or cleaning measures to avoid problems such as reduced drainage efficiency and increased safety risks in the operation of the regulating and storage tank due to sludge blockage, thereby improving the operating efficiency of the reservoir and reducing maintenance costs, ensuring the stable and efficient operation of the regulation and storage system.

[0011] In one embodiment, the method of dividing the flow sequence into preset segments and obtaining the silt deposition factor of the flow sequence according to the standard deviation and range of the slopes of all segments and the number of segments is:

[0012] The flow sequence is used as input, breakpoints are set by bootstrapping method, and all slopes of all segmented fitting lines of the flow sequence are output using piecewise linear regression algorithm. The standard deviation and range of slopes of all segmented fitting lines in the flow sequence are obtained.

[0013] The silt deposition factor is obtained based on the number of breakpoints in the flow series, the standard deviation of the slopes of all the piecewise fitted straight lines in the flow series, and the range of the slopes.

[0014] In one embodiment, the method for obtaining the silt deposition factor according to the number of breakpoints in the flow sequence, the standard deviation of the slope of all the segmented fitting straight lines in the flow sequence, and the range of the slope is:

[0015] The silt deposition factor is positively correlated with the number of discontinuities in the flow series, the standard deviation of all slopes in the flow series, and the range of all slopes in the flow series.

[0016] In one embodiment, the method for obtaining the silt deposition effect according to the silt deposition factor of the flow sequence and the flow velocity sequence is:

[0017] The silt deposition factors of the flow series and velocity series are averaged to obtain the silt deposition effect at the outlet.

[0018] In one embodiment, the method of obtaining the drainage area of ​​the water storage tank and obtaining the solid flux at each moment in combination with the water flow rate and suspended solid concentration of the drainage and water inlet at each moment is:

[0019] The outlet area of ​​the reservoir, the water flow rate at the outlet, the water flow rate at the inlet, the suspended solids concentration discharged at each moment and the newly added suspended solids concentration are taken as input, and the solid flux of the reservoir at each moment is obtained through the mass balance method.

[0020] In one embodiment, the method of constructing a difference sequence from the difference between the ideal solid discharge volume and the suspended solid concentration at the drain outlet and constructing a liquid level sequence from the liquid level is as follows:

[0021] Calculate the difference between the ideal solid discharge at each moment and the suspended solid concentration at the drain outlet; sort the differences in chronological order to obtain a difference sequence;

[0022] The collected liquid levels are sorted in chronological order to obtain a liquid level sequence; the length of the liquid level sequence and the difference sequence are the same.

[0023] In one embodiment, the method of constructing a fitting straight line by using the difference sequence and the liquid level sequence as the dependent variable and the independent variable respectively is:

[0024] A coordinate system is formed with the difference in the difference sequence as the horizontal coordinate and the liquid level as the vertical coordinate. Each moment corresponds to a data point, and the difference and liquid level corresponding to each moment are used as the two-dimensional attributes of the data point. A straight line is fitted based on all the data points to obtain a fitting line.

[0025] In one embodiment, the method for obtaining the sludge blockage degree at the drain outlet according to the correlation coefficient of the liquid level sequence and the difference sequence, the mean square error of the fitting straight line and the sludge deposition effect at the drain outlet is:

[0026] The method for calculating the correlation coefficient between the liquid level sequence and the difference sequence is the Pearson correlation coefficient;

[0027] The sludge blockage degree at the drain outlet is positively correlated with the sludge deposition effect at the drain outlet and the mean square error of the fitting line, and is negatively correlated with the correlation coefficient between the difference sequence and the liquid level sequence.

[0028] In one embodiment, the expression for setting the objective function based on the sludge blockage degree and the water output and water input corresponding to the moment is:

[0029] , Indicates the amount of water inflow up to the current moment. Indicates the water output at the current moment. Indicates the sludge blockage degree at the drain outlet at the current moment. Indicates taking the minimum value, is the objective function.

[0030] In the second aspect, an embodiment of the present application also provides a green space system with a rainwater storage function, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps of any one of the above-mentioned rainwater storage methods are implemented.

[0031] The beneficial effects of this application are:

[0032] The present application proposes a green space system with rainwater storage and regulation function and a rainwater storage and regulation method. Aiming at the problem of uneven sludge scouring or deposition in rainwater storage and regulation reservoirs, a piecewise linear regression algorithm is used to reflect the complexity of flow changes, rate differences and range of changes, and solve the problem of intensity and instability assessment of sludge scouring and deposition. Aiming at the risk assessment of sludge blockage at the drain outlet of the reservoir, the least squares linear fitting and Pearson correlation analysis algorithms are used to reflect the strength of the relationship between liquid level changes and suspended solids removal efficiency, and eliminate the influence of newly added suspended solids at the water inlet. In this way, real-time assessment and early warning of the risk of sludge blockage at the drain outlet of the reservoir can be achieved. The system can promptly remind staff to take preventive or cleaning measures to avoid problems such as reduced drainage efficiency and increased safety risks in the operation of the regulation and storage tank due to sludge blockage, thereby improving the operating efficiency of the reservoir and reducing maintenance costs, ensuring stable and efficient operation of the regulation and storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 A flow chart of a rainwater storage method provided in accordance with an embodiment of the present application. DETAILED DESCRIPTION

[0035] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the green space system with rainwater storage function and rainwater storage method proposed in the present application, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0036] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0037] A rainwater storage method embodiment:

[0038] The specific scheme of a rainwater storage method provided by the present application is described in detail below with reference to the accompanying drawings.

[0039] See also Figure 1 , which shows a flow chart of a rainwater storage method provided by an embodiment of the present application, the method comprising the following steps:

[0040] Step S001: collecting parameter values ​​of different parameter types based on different sensors.

[0041] In the reservoir used for rainwater regulation, electromagnetic flowmeters, flow profilers, suspended solids concentration sensors and ultrasonic level meters are installed to collect parameter values ​​of different parameters.

[0042] The water flow rate at the reservoir inlet and outlet is obtained by an electromagnetic flowmeter; the water flow velocity at the reservoir outlet is collected by a flow velocity profiler; the newly added suspended solids concentration at the reservoir inlet, the suspended solids concentration discharged at the outlet, and the suspended solids concentration of the water quality in the reservoir are collected by a suspended solids concentration sensor; the liquid level in the reservoir is collected by an ultrasonic level meter.

[0043] In this embodiment, the acquisition frequencies of the above devices or sensors for data acquisition are all set to 10 Hz, and all the collected data are normalized to eliminate the influence of the dimension.

[0044] So far, the parameter values ​​of different parameters of different reservoirs have been obtained.

[0045] Step S002, obtaining the silt deposition effect at the drain outlet according to the difference between the flow rate and the flow velocity of the drain outlet.

[0046] During the process of rainwater regulation, the size of the flow directly affects the emptying efficiency of the regulating reservoir. A larger flow will quickly empty the regulating reservoir in a short time. When the flow is too large, it will carry more suspended solids into the regulating reservoir, increasing the amount of sediment, thereby increasing the risk of silt blockage. In addition, the flow rate has a significant effect on the distribution and sedimentation rate of sediments in the regulating reservoir. Too low a flow rate may cause suspended solids to settle, forming silt, increasing the possibility of blockage.

[0047] During the rainwater regulation process, the drainage of the reservoir is generally uniform. However, due to the accumulation and scouring of silt at the outlet, the flow rate and flow rate at the outlet of the reservoir will show non-uniform characteristics. Since the sewage contains solid particles, these particles will form sediments in the drainage pipe, resulting in uneven flow rate in the pipe, which in turn affects the flow rate and flow rate at the outlet. The presence of sediments makes the flow characteristics of water at the outlet complicated. The water flow requires more energy to move the deposited particles, which will cause the flow rate to change. At the same time, the scouring and deposition of sediments at the outlet will also cause the local resistance of the outlet to change, further affecting the flow rate and flow rate. Under the influence of multiple factors such as rainfall, the water quality and water volume discharged from the drainage pipe on rainy days are extremely uneven and significantly different within a single rainfall, between different rainfall events, and between different regions. During drainage, the water flow will scour and accumulate the sediments at the outlet, and the unevenness of the drainage velocity and flow rate will cause the sediments at the outlet to change further.

[0048] The water flow rate and water flow velocity collected at the outlet of the reservoir are respectively composed into a sequence, recorded as the flow sequence and velocity sequence. The flow sequence is used as input, the breakpoints are set by the bootstrap method, and the piecewise linear regression algorithm is used to output all the slopes of all the piecewise fitting lines of the flow sequence, and the standard deviation and range of the slopes of all the piecewise fitting lines in the flow sequence are obtained.

[0049] The silt deposition factor is obtained based on the number of breakpoints in the flow series, the standard deviation of the slopes of all the piecewise fitted straight lines in the flow series, and the range of the slopes.

[0050] The silt deposition factor is positively correlated with the number of discontinuities in the flow series, the standard deviation of all slopes in the flow series, and the range of all slopes in the flow series.

[0051] It should be noted that positive correlation means that when one variable increases, the other variable also increases, and the two variables change in the same direction. When one variable changes from large to small or from small to large, the other variable also changes from large to small or from small to large. The specific relationship is determined by actual application and this application does not impose any special restrictions.

[0052] Preferably, in this embodiment, the expression of the silt deposition factor of the flow sequence is:

[0053] , represents the number of interruption points in the flow sequence, represents the standard deviation of all slopes corresponding to the flow series, Represents the range of all slopes corresponding to the flow series, Represents the silt deposition factor for the flow series.

[0054] Preferably, in another embodiment of the present application, the expression of the silt deposition factor of the flow sequence is:

[0055] , represents the number of interruption points in the flow sequence, represents the standard deviation of all slopes corresponding to the flow series, Represents the range of all slopes corresponding to the flow series, Represents the silt deposition factor for the flow series.

[0056] The breakpoints represent the mutation points caused by the discontinuity of flow changes. The number of breakpoints reflects the complexity of flow changes. The more breakpoints there are, the more frequent or more drastic the flow changes are, which means that the water flow has caused stronger disturbance of solid impurities in the storage tank, and the accumulation and distribution of silt in the channel at the outlet have changed more, and the silt deposition factor has increased accordingly. The standard deviation of the slope quantifies the degree of variation of the slopes of different line segments, reflecting the difference in the rate of flow change. The larger the standard deviation, the higher the inconsistency of the flow change rate, which means that the scouring and deposition of sediments by water flow are more irregular, increasing the uncertainty and potential risk of silt accumulation, and therefore the silt deposition factor increases accordingly. The range of the slope reflects the maximum range of the flow change rate. The larger the range, the more significant the extreme situation of flow change is, which means that the ability of water flow to scour or deposit sediments is stronger in the historical period. The larger the range, the more uneven the silt accumulation will be, and the silt deposition factor value will increase accordingly. The silt deposition factor is used to evaluate the silt discharge problem at the outlet of the regulating pond under specific flow conditions. The larger the silt deposition factor, the greater the instability of the scouring and deposition of sediments caused by water flow changes during drainage, which makes it easier for silt to accumulate at the outlet.

[0057] Similarly, the silt deposition factor of the velocity sequence is calculated using the method of calculating the silt deposition factor of the flow sequence, the breakpoints of the velocity sequence and the range and standard deviation of the slope of the piecewise fitting straight line are obtained, and the silt deposition factor of the velocity sequence is obtained based on these three.

[0058] The silt deposition factors of the flow series and velocity series are averaged to obtain the silt deposition effect at the outlet.

[0059] At this point, the silt deposition effect at the drain outlet was obtained.

[0060] Step S003, obtain the solid flux based on the outlet area, the water flow rate of the inlet and outlet, and the suspended solids concentration, construct a fitting straight line based on the difference between the solid flux and the suspended solids concentration at the outlet and the liquid level difference, and obtain the sludge blockage degree based on the mean square error and sludge deposition effect of the fitting straight line and its correlation coefficient.

[0061] The drainage area of ​​the reservoir is obtained, and based on the water flow rate of the drainage outlet at each moment, the water flow rate of the water inlet, the suspended solids concentration discharged at each moment, and the newly added suspended solids concentration, and combined with the drainage area of ​​the reservoir, the solid flux of the reservoir at the current moment is obtained by the mass balance method. This solid flux represents the total amount of suspended solids removed from the reservoir area between the current moment and the previous moment, and this total amount of suspended solids is recorded as the ideal solid discharge. The mass balance method is a well-known technology and will not be described in detail in this application.

[0062] In this embodiment, the acquisition frequency is 10 Hz, that is, data is collected every 0.1 s, that is, the time interval between two data collections is 0.1 s, thereby obtaining the total amount of suspended solids discharged from the water storage tank within 0.1 s.

[0063] The ideal solid discharge at each moment is subtracted from the suspended solid concentration at the drain outlet. The difference reflects the distribution and change of sediment at the drain outlet due to the scouring and sedimentation of the water flow during the drainage process. The difference is recorded as the first difference. The first difference represents the difference between the ideal removal of suspended solids and the actual removal in the selected time interval. Its value is inversely proportional to the removal efficiency of the drain outlet for suspended solids. The first difference is sorted in ascending order of time to obtain a difference sequence.

[0064] The sequence formed by collecting the liquid level in the water reservoir by the ultrasonic level meter is recorded as the liquid level sequence, with the difference sequence as the independent variable and the liquid level sequence as the dependent variable. All parameter values ​​in the two sequences correspond one to one according to the time collection order, that is, the first difference is the horizontal coordinate and the liquid level is the vertical coordinate. Each time corresponds to a data point, and straight line fitting is performed on all data points to obtain the fitting line.

[0065] When the first difference is larger, it means that the difference between the ideal removal amount of suspended solids and the actual removal amount when the reservoir is drained is larger, and the drop in the liquid level will be more affected. The mean square error of the fitting line is calculated, and the correlation coefficient between the difference sequence and the liquid level sequence is output using the correlation coefficient analysis algorithm with the difference sequence and the liquid level sequence as input. In this embodiment, the correlation coefficient analysis method used is the Pearson correlation coefficient.

[0066] The sludge blockage degree at the drain outlet is obtained based on the sludge deposition effect at the drain outlet, the correlation coefficient between the difference sequence and the liquid level sequence, and the mean square error of the fitting line.

[0067] The sludge blockage degree at the drain outlet is positively correlated with the sludge deposition effect at the drain outlet and the mean square error of the fitting line, and is negatively correlated with the correlation coefficient between the difference sequence and the liquid level sequence.

[0068] It should be noted that negative correlation means that when one variable increases, the other variable decreases accordingly, and the two variables change in opposite directions. When one variable changes from large to small or from small to large, the other variable also changes from small to large or from large to small. The specific relationship is determined by actual application and this application does not impose any special restrictions.

[0069] Preferably, in this embodiment, the expression of the sludge blockage degree at the drain outlet is:

[0070] , represents the silt deposition effect at the outfall, represents the mean square error of the fitted straight line, represents the correlation coefficient between the difference sequence and the liquid level sequence, represents the linear normalization function, Indicates the degree of sludge blockage at the drain outlet.

[0071] The silt deposition effect reflects the intensity and instability of the scouring and deposition of sediments in the storage tank by water flow. The larger the silt deposition effect value, the greater the impact of flow changes on sediments, thereby increasing the risk of sludge blockage. Therefore, the increase in silt deposition effect will lead to an increase in sludge blockage. The mean square error of the fitting line reflects the strength of the relationship between liquid level change and suspended solids removal efficiency. From the above analysis, it can be seen that the larger the mean square error, the greater the impact of the difference between the ideal and actual removal amounts of suspended solids on the drop in liquid level. At this time, it indicates that the sludge at the drain outlet has a greater impact. Therefore, an increase in the mean square error of the fitting line will lead to an increase in sludge blockage. The correlation coefficient between the difference sequence and the liquid level sequence measures the linear correlation between the difference sequence and the liquid level sequence, that is, the degree of correlation between the two sequences. The closer the absolute value of the correlation coefficient is to 1, the stronger the linear correlation between the difference sequence and the liquid level sequence, that is, the closer the correlation between the liquid level change and the suspended solids removal efficiency, the lower the risk of sludge blockage and the sludge blockage decreases accordingly. The sludge blockage degree at the drain outlet describes the risk of sludge blockage at the drain outlet of the reservoir under specific flow and flow velocity conditions. The larger the value, the higher the risk of sludge blockage at the drain outlet of the reservoir under the current conditions.

[0072] At this point, the sludge blockage degree at the drain outlet is obtained.

[0073] Step S004, setting an objective function based on the sludge blockage degree to obtain the optimal water output, and based on this, controlling the current water output to perform rainwater storage.

[0074] The water flow rate at the water inlet of the reservoir from the beginning to the current moment is accumulated as the water inflow of the reservoir, and the water flow rate at the water outlet of the reservoir from the beginning to the current moment is accumulated as the water outflow of the reservoir.

[0075] In order to prevent a series of adverse problems caused by silt accumulation at the drain outlet, a particle swarm algorithm is designed to optimize the model and set the water storage range of the reservoir. In this embodiment, the water storage range of the reservoir is set to ,in is the height of the reservoir in meters. When the water level in the reservoir reaches the water storage range, the particle swarm algorithm is used to regulate the water output and water storage. The objective function is set based on the sludge blockage degree at the drain outlet at each moment and the corresponding water inlet and water outlet at that moment. The objective function is: , Indicates the amount of water inflow up to the current moment. Indicates the water output at the current moment. Indicates the sludge blockage degree at the drain outlet at the current moment. Indicates taking the minimum value, This is the objective function.

[0076] Since the water inflow of the reservoir is determined by rainfall and topography, a particle swarm algorithm (PSO) is used to find the optimal water outflow. The B value provides a quantitative sludge blockage risk assessment to help the system decide whether to adjust the water output. The change of the B value can guide the system to dynamically adjust the water output. If the B value increases, it indicates that the risk of sludge blockage increases. At this time, the algorithm will tend to reduce the difference between the inlet and outlet water more vigorously to reduce the risk of sludge blockage and ensure the effective operation of the reservoir.

[0077] Then, the proportional gain Kp is set to 2.0, the integral gain Ki is set to 0.5, and the differential gain Kd is set to 10. The current water output and the optimal water output are used as inputs, and the PID algorithm is used to output a control signal to act on the electric valve of the drain outlet, so that it can accurately control the valve opening, thereby adjusting the water flow to approach the optimal drainage volume. It should be noted that the principle of the PSO algorithm to find the optimal water output is to use As small as possible, that is, the optimal water outflow may be greater than the water inflow. If the current water outflow is also greater than the water inflow, the water level in the reservoir will not continue to rise, so the risk of sludge accumulation is smaller.

[0078] When it is monitored that both the current water output and the optimal water output are greater than the water inlet, the PID algorithm will not regulate the valve. On the contrary, if at least one of the current water output and the optimal water output is less than the water inlet, the PID algorithm will send a control signal, thereby improving response efficiency, reducing unnecessary control actions, and making the system more efficient.

[0079] Based on the same inventive concept as the above method, an embodiment of the present invention also provides a green space system with a rainwater storage function, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps of any one of the above-mentioned rainwater storage methods are implemented.

[0080] It should be noted that the above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

[0081] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A rainwater storage method, characterized in that: The method comprises the following steps: The parameter values ​​of different parameters are collected through different sensors, including the water flow rate at the inlet and outlet, the water flow velocity at the outlet, the suspended solids concentration at the inlet and outlet, and the liquid level of the reservoir; The water flow rate of the drainage outlet is used to construct a flow sequence; the flow sequence is divided into preset segments, and the silt deposition factor of the flow sequence is obtained according to the standard deviation and range of the slopes of all segments and the number of segments; the flow velocity sequence is constructed from the water flow velocity of the drainage outlet, the flow velocity sequence is divided into segments, and the silt deposition factor of the flow velocity sequence is obtained according to the standard deviation and range of each segment; the silt deposition effect is obtained according to the silt deposition factors of the flow sequence and the flow velocity sequence; Obtain the drainage area of ​​the reservoir, and obtain the solid flux at each moment in combination with the water flow rate and suspended solid concentration at the drainage and inlet at each moment, which is recorded as the ideal solid discharge at each moment; construct a difference sequence based on the difference between the ideal solid discharge and the suspended solid concentration at the drainage, and construct a liquid level sequence based on the liquid level; construct a fitting line using the difference sequence and the liquid level sequence as the dependent variable and the independent variable, respectively; obtain the sludge blockage degree at the drainage outlet based on the correlation coefficient between the liquid level sequence and the difference sequence, the mean square error of the fitting line, and the sludge deposition effect at the drainage outlet; The objective function is set based on the sludge blockage degree and the corresponding water output and water inflow at that moment, and the optimal water output is found based on the objective function. The current water output is adjusted to the optimal water output through the PID control algorithm to store rainwater; The method of dividing the flow sequence into preset segments and obtaining the silt deposition factor of the flow sequence according to the standard deviation and range of the slopes of all segments and the number of segments is: The flow sequence is used as input, breakpoints are set by bootstrapping method, and all slopes of all segmented fitting lines of the flow sequence are output using piecewise linear regression algorithm. The standard deviation and range of slopes of all segmented fitting lines in the flow sequence are obtained. The silt deposition factor is obtained according to the number of breakpoints in the flow sequence, the standard deviation of the slopes of all piecewise fitted straight lines in the flow sequence, and the range of the slopes; the silt deposition factor is positively correlated with the number of breakpoints in the flow sequence, the standard deviation of all slopes in the flow sequence, and the range of all slopes in the flow sequence.

2. A rainwater storage method according to claim 1, characterized in that: The method for obtaining the silt deposition effect according to the silt deposition factor of the flow sequence and the flow velocity sequence is: The silt deposition factors of the flow sequence and velocity sequence are averaged to obtain the silt deposition effect at the outlet.

3. A rainwater storage method according to claim 1, characterized in that: The method for obtaining the drainage area of ​​the water storage tank and obtaining the solid flux at each moment in combination with the water flow rate and suspended solid concentration at the drainage and water inlet at each moment is: The outlet area of ​​the reservoir, the water flow rate at the outlet, the water flow rate at the inlet, the suspended solids concentration discharged at each moment and the newly added suspended solids concentration are taken as input, and the solid flux of the reservoir at each moment is obtained through the mass balance method.

4. A rainwater storage method according to claim 1, characterized in that: The method of constructing a difference sequence from the difference between the ideal solid discharge and the suspended solid concentration at the drain outlet and constructing a liquid level sequence from the liquid level is as follows: Calculate the difference between the ideal solid discharge at each moment and the suspended solid concentration at the drain outlet; sort the differences in chronological order to obtain a difference sequence; The collected liquid levels are sorted in chronological order to obtain a liquid level sequence; the length of the liquid level sequence and the difference sequence are the same.

5. A rainwater storage method according to claim 1, characterized in that: The method of constructing a fitting straight line by taking the difference sequence and the liquid level sequence as the dependent variable and the independent variable respectively is: A coordinate system is constructed with the difference in the difference sequence as the horizontal coordinate and the liquid level as the vertical coordinate. Each moment corresponds to a data point, and the difference and liquid level corresponding to each moment are used as the two-dimensional attributes of the data point. A straight line is fitted based on all the data points to obtain a fitting line.

6. A rainwater storage method according to claim 1, characterized in that: The method for obtaining the sludge blockage degree at the drain outlet according to the correlation coefficient of the liquid level sequence and the difference sequence, the mean square error of the fitting straight line and the sludge deposition effect at the drain outlet is: The method for calculating the correlation coefficient between the liquid level sequence and the difference sequence is the Pearson correlation coefficient; The sludge blockage degree at the drain outlet is positively correlated with the sludge deposition effect at the drain outlet and the mean square error of the fitting line, and is negatively correlated with the correlation coefficient between the difference sequence and the liquid level sequence.

7. A rainwater storage method according to claim 1, characterized in that: The expression for setting the objective function based on the sludge blockage degree and the corresponding water output and water inflow at that moment is: , Indicates the amount of water inflow up to the current moment. Indicates the water output at the current moment. Indicates the sludge blockage degree at the drain outlet at the current moment. Indicates taking the minimum value, is the objective function.

8. A green space system with rainwater storage function, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of a rainwater storage method as described in any one of claims 1-7 are implemented.

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