CN-122022525-A - Sponge city water circulation collaborative monitoring and regulating method and system

CN122022525ACN 122022525 ACN122022525 ACN 122022525ACN-122022525-A

Abstract

A sponge city water circulation collaborative monitoring and regulating method and system relate to the field of electric digital data processing. The method comprises the steps of obtaining current water storage capacity, water quality index and rolling weather forecast data of a sponge facility, respectively calculating a resource holding value and a safe free capacity value which change along with time, determining a regulating and controlling starting moment by calculating an intersection point of two value curves on a future time axis, calculating a target discharge rate according to a difference value of value change rates of the two curves at the intersection point, and finally generating and issuing a regulating and controlling instruction aiming at the sponge facility according to the rate at the starting moment. By implementing the technical scheme provided by the application, the comprehensive operation benefit of the sponge urban water system under the dual targets of resource utilization and flood control safety is improved.

Inventors

LU KEJIAN
LI ZHAOLONG
SONG LIANG
Liao Ripan

Assignees

深圳志深建筑技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260203

Claims (10)

1. The sponge city water circulation collaborative monitoring and regulating method is characterized by comprising the following steps: Acquiring current water storage capacity, water quality index, rolling weather forecast data of future time period and preset urban water demand information of a sponge facility; The water quality index, the current water storage amount, a preset water quality attenuation parameter and a future time variable are taken as inputs, and the resource holding value at the moment corresponding to the future time variable is obtained through calculation by a preset cost function, wherein the cost function is that when the future time variable is zero, the output value is positively related to the urban water demand information and the water quality index, and the output value is decreased according to the rate defined by the water quality attenuation parameter along with the increase of the future time variable; The expected rainfall probability, the expected rainfall intensity and the future time variable in the rolling weather forecast data are used as input, and the safe free-volume value at the moment corresponding to the future time variable is calculated through a preset risk function, wherein the risk function is used for carrying out weighted combination on the expected rainfall probability and the expected rainfall intensity to generate a risk weight associated with the future time variable, so that the value of the safe free-volume value is positively correlated with the magnitude of the risk weight; calculating the resource holding value and the safe free-capacity value on a future time axis to determine a prediction intersection point at which two value curves are crossed; when the predicted intersection exists, determining the time corresponding to the predicted intersection as the starting time, and calculating to obtain a target emission rate positively related to the difference value of the value change rates according to the value change rates of the two value curves at the predicted intersection; And generating and issuing a regulating instruction for the sponge facility according to the target discharge rate at the starting moment.
2. The method according to claim 1, wherein the calculating the resource holding value at the time corresponding to the future time variable by using the water quality index, the current water storage amount, a preset water quality attenuation parameter and the future time variable as inputs through a preset cost function specifically includes: taking the water quality index, the current water storage amount, a preset water quality attenuation parameter and a future time variable as inputs, and calculating to obtain a resource holding value at a moment corresponding to the future time variable through a first formula; Wherein, the first formula is: ; Wherein, the To be at the moment Is a value to be held by the resource of (c), As a function of the future time variable, A value constant of a preset basic resource; a current measurement of chemical oxygen demand in the water quality indicator; Is a preset chemical oxygen demand pollution threshold; A dynamic demand value determined from the municipal water demand information; Is the current water storage amount; A total effective water storage capacity for the sponge facility; is the water quality attenuation parameter.
3. The method according to claim 1, wherein the calculating, by using the expected rainfall probability, the expected rainfall intensity and the future time variable in the rolling weather forecast data as inputs, the safe free volume value at the moment corresponding to the future time variable through a preset risk function specifically includes: Taking the expected rainfall probability, the expected rainfall intensity and the future time variable in the rolling weather forecast data as inputs, and calculating to obtain the safe free volume value at the moment corresponding to the future time variable through a second formula; wherein the second formula is: ; Wherein, the To be at the moment Is a safe free-standing value of (1), As a function of the future time variable, Is a preset maximum safety value constant; For at the moment in the rolling weather forecast data Is determined based on the expected rainfall probability; For at the moment in the rolling weather forecast data Is set, the expected rainfall intensity of (a); Is a preset reference rainfall intensity constant; the risk amplification factor is preset; Is the current water storage amount; A total effective water storage capacity for the sponge facility; The vulnerability amplifying coefficient is preset; Is a predetermined time sensitivity coefficient.
4. The method of claim 1, further comprising, after said calculating said value for said resource and said safe-holding value on a future time axis and determining a predicted intersection at which two value curves intersect: Identifying a plurality of candidate predicted intersection points as a candidate intersection point set when more than one of the predicted intersection points exists; determining the maximum peak value of the safe free capacity value curve within a time window from the corresponding time of each candidate prediction intersection point to the time window before the next candidate prediction intersection point appears; iterating the candidate crossing points, and determining a risk peak value for each candidate crossing point, wherein the risk peak value refers to the maximum value of the safe free capacity value curve in a time period from the corresponding candidate crossing point to the next candidate crossing point; Selecting the highest value from all the determined risk peaks as the highest risk peak, and determining the candidate intersection corresponding to the highest risk peak as the final predicted intersection; in a subsequent step, the final predicted intersection is used instead of the predicted intersection.
5. The method of claim 4, wherein before said selecting a highest value from all of said determined risk peaks and determining a candidate intersection corresponding to said highest value as a final predicted intersection, further comprising: Identifying the risk peak value with the highest value from the risk peaks, and determining the risk peak value as the highest risk peak value; in the case that a plurality of highest risk peaks with the same value exist, determining the time first occurrence of the highest risk peaks as a first highest risk peak; identifying a highest risk peak occurring immediately before the first highest risk peak in time, and determining the highest risk peak as a front risk peak; calculating to obtain the required recovery time based on the numerical value of the front risk peak value and the preset maximum emission capacity of the sponge facility; Acquiring a candidate intersection point associated with the preposed risk peak value and a candidate intersection point associated with the first highest risk peak value, and obtaining a risk time interval; And when the risk time interval is smaller than or equal to the required recovery time length, determining a candidate intersection point associated with the front risk peak value as a final prediction intersection point.
6. The method of claim 1, wherein at the start time, prior to generating and issuing regulatory instructions for the sponge facility in accordance with the target discharge rate, further comprising: When the decision waiting time exceeds the preset decision credibility time, calculating to obtain the hedging discharge rate based on the target discharge rate and the preset hedging coefficient, wherein the time difference between the current time and the opening time is the time difference; generating and issuing a temporary regulation command according to the hedging discharge rate; Continuously reacquiring, calculating and determining the opening time and the target discharge rate at a preset update frequency; And when the decision waiting time is smaller than or equal to the decision credibility time, terminating the temporary regulation instruction, and generating and issuing a latest regulation instruction according to the latest updated latest opening time and the latest target discharge rate.
7. The method of claim 1, further comprising, after said calculating said value for said resource and said safe-holding value on a future time axis and determining a predicted intersection at which two value curves intersect: Under the condition that the prediction intersection point does not exist, calculating a resource damage point where the resource holding value curve crosses a preset resource value base line; Determining the time corresponding to the resource damage point as damage starting time; and taking the value change rate of the resource holding value curve at the breaking opening moment as a target discharge rate.
8. A sponge city water circulation co-monitoring and conditioning system comprising one or more processors and a memory coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors invoke to cause the sponge city water circulation co-monitoring and conditioning system to perform the method of any of claims 1-7.
9. A computer program product comprising instructions which, when run on a sponge urban water circulation co-monitoring and regulating system, cause the sponge urban water circulation co-monitoring and regulating system to perform the method of any one of claims 1-7.
10. A computer readable storage medium comprising instructions which, when run on a sponge city water circulation co-monitoring and regulating system, cause the sponge city water circulation co-monitoring and regulating system to perform the method of any one of claims 1-7.

Description

Sponge city water circulation collaborative monitoring and regulating method and system Technical Field The application relates to the field of electric digital data processing, in particular to a sponge city water circulation collaborative monitoring and regulating method and system. Background At present, along with the acceleration of the global urban process and the increasing challenges of climate change, sponge cities serve as a new sustainable urban rainfall flood management paradigm, construction and development become key measures for improving the safety and toughness of urban water, and the sponge cities have important significance for guaranteeing the ecological health of urban water and relieving waterlogging disasters. In the related art, a sponge city intelligent regulation system generally adopts a model prediction control-based method, and multi-source data such as rainfall forecast, liquid level, facility water storage capacity and the like are received in real time by establishing a city hydrologic model. During regulation and control, in a limited future time domain, flood control safety (such as no overflow of key nodes) and pollutant reduction are taken as main optimization targets, and the optimal control sequence of each regulation and storage facility (such as a valve and a pump station) in the next time period is dynamically calculated by solving a multi-target optimization problem in a rolling way. However, in the related art, the core logic is to calculate how to make the stock out to minimize the risk of flooding. When a city has just experienced a rainfall, the facility water storage is high and there is no clear heavy rainfall forecast for a short period of time, the optimization objective function may become ambiguous or tend to be conservative due to lack of clear risk driving. At this time, it is difficult to evaluate the potential value of the stored rain water, and it is also difficult to quantify the opportunity cost of coping with sudden rainfall that is incurred to maintain a high water level reservoir. Thus, in making a capacity-free decision, decision-making is based on a tendency to rely on static, preset emission rules, and it is difficult to trade-off future uncertain safety benefits with currently determined resource value. Disclosure of Invention The application provides a sponge city water circulation collaborative monitoring and regulating method and system, which are used for improving the comprehensive operation benefit of a sponge city water system under the double targets of resource utilization and flood control safety. In a first aspect of the application, a sponge city water circulation collaborative monitoring and controlling method is provided, the method comprises the following steps: The method comprises the steps of obtaining current water storage capacity, water quality index, rolling weather forecast data of future time period and preset urban water demand information of a sponge facility, taking the water quality index, the current water storage capacity, preset water quality attenuation parameters and future time variable as input, calculating to obtain a resource holding value at the moment corresponding to the future time variable through a preset cost function, taking expected rainfall probability, expected rainfall intensity and future time variable in the rolling weather forecast data as input, calculating to obtain a safe capacity value at the moment corresponding to the future time variable through a preset risk function, calculating the resource holding value and the safe capacity value on a future time axis to determine a prediction intersection point at which two value curves intersect, determining the time corresponding to the prediction intersection point as an opening moment when the prediction intersection point exists, calculating to obtain a target emission rate positively related to the difference value of the value change rate according to the respective value change rates of the two value curves at the prediction intersection point, and generating and issuing a regulating and controlling instruction aiming at the sponge facility according to the target emission rate at the opening moment. In the embodiment, a complex and multi-objective decision process is abstracted into value balance, and the transition from passive response to prospective optimization decision is realized, so that the comprehensive operation benefit of the sponge urban water system under the dual objectives of resource utilization and flood control safety is improved. With reference to some embodiments of the first aspect, in some embodiments, taking a water quality index, a current water storage amount, a preset water quality attenuation parameter and a future time variable as inputs, calculating to obtain a resource holding value at a time corresponding to the future time variable through a preset cost function, specifically including: Taking a water qua