Intelligent optimization and regulation methods for low-carbon and environmentally friendly water resources

Abstract

This invention relates to the field of water resource regulation technology, specifically to a smart optimization and regulation method for low-carbon and environmentally friendly water resources. The method includes: obtaining the predicted available water volume corresponding to the available water resource type within the predicted unit time period based on the predicted unit time period's position within a defined time period and the actual available water volume corresponding to the available water resource type within a historical time period with the same time range as the defined time period; obtaining the predicted water volume corresponding to the water use type within the predicted unit time period based on the predicted unit time period's position within the current defined time period and the actual water use volume corresponding to the water use type within a historical time period with the same time range as the current defined time period; and regulating the water resources in the monitored area based on the difference between the predicted available water volume and the predicted water use volume. Furthermore, this invention can improve the efficiency, timeliness, and accuracy of water resource regulation and management.

Description

Technical Field

[0001] This invention relates to the field of water resource regulation technology, specifically to a method for intelligent optimization and regulation of water resources for low-carbon and environmentally friendly purposes. Background Technology

[0002] Existing water resource scheduling or regulation management generally relies on manual scheduling and experience-based judgment, which is insufficient to cope with the combined pressures brought about by climate change, population growth, and a surge in industrial water consumption. Furthermore, the existing water resource scheduling or regulation management methods result in poor efficiency, timeliness, and accuracy. Therefore, how to optimize water resource regulation to improve its efficiency, timeliness, and accuracy has become an urgent problem to be solved. Summary of the Invention

[0003] To address the above problems, this invention provides a method for intelligent optimization and regulation of water resources in a low-carbon and environmentally friendly manner. The specific technical solution adopted is as follows:

[0004] One embodiment of the present invention provides a method for intelligent optimization and regulation of water resources for low-carbon and environmentally friendly purposes, comprising the following steps:

[0005] Obtain the time periods for each type of available water resources and each type of water use within the monitoring area;

[0006] Determine whether the available water resource type is a groundwater resource type. If not, record the time period containing the predicted unit time period in the time period division of the available water resource type as the characteristic time period. Based on the position of the predicted unit time period in the characteristic time period and the actual available water volume corresponding to the available water resource type in the same historical time period as the characteristic time period, obtain the predicted available water volume corresponding to the available water resource type in the predicted unit time period. Record the time period containing the predicted unit time period in the time period division of the water use type as the current time period. Based on the position of the predicted unit time period in the current time period and the actual water use volume corresponding to the water use type in the same historical time period as the current time period, obtain the predicted water use volume corresponding to the water use type in the predicted unit time period.

[0007] Water resources in the monitored area are regulated based on the difference between the predicted available water volume and the predicted water consumption.

[0008] Beneficial Effects: This invention first obtains the time periods for each type of available water resource and each type of water use within the monitoring area. Then, it determines whether the available water resource type is groundwater. If not, the time period containing the predicted unit time period within the time period of the available water resource type is recorded as the characteristic time period. Based on the position of the predicted unit time period within the characteristic time period and the actual available water volume corresponding to the available water resource type within the same historical time period, the predicted available water volume corresponding to the available water resource type within the predicted unit time period is obtained. Next, the time period containing the predicted unit time period within the time period of the water use type is recorded as the current time period. Based on the position of the predicted unit time period within the current time period and the actual water consumption corresponding to the water use type within the same historical time period, the predicted water consumption corresponding to the water use type within the predicted unit time period is obtained. Finally, the water resources in the monitoring area are regulated based on the difference between the predicted available water volume and the predicted water consumption. Furthermore, this invention regulates water resources in the monitoring area based on the difference between the predicted available water volume and the predicted water consumption, which can improve the efficiency, timeliness, and accuracy of water resource regulation and management. Attached Figure Description

[0009] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a flowchart of a method for intelligent optimization and regulation of water resources for low-carbon and environmentally friendly purposes according to the present invention. Detailed Implementation

[0011] 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 are within the protection scope of the embodiments of the present invention.

[0012] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art.

[0013] This embodiment provides a method for intelligent optimization and regulation of water resources for low-carbon and environmentally friendly applications, detailed as follows:

[0014] like Figure 1As shown, this intelligent optimization and regulation method for low-carbon and environmentally friendly water resources includes the following steps:

[0015] Step S001: Obtain the time periods for each type of available water resources and each type of water use within the monitoring area.

[0016] The purpose of this embodiment is to optimize water resource regulation or scheduling to improve the efficiency, timeliness, and accuracy of water resource regulation and management. For ease of analysis, this embodiment will use the water resource regulation or scheduling management of various monitoring areas within any prefecture-level city as an example. Since the methods or rules for water resource regulation are consistent across different monitoring areas within this prefecture-level city, this embodiment will use the water resource regulation or scheduling management of any monitoring area S within that prefecture-level city as an example for ease of understanding and description. This means that the subsequent water consumption or available water... All quantities belong to the water consumption or available water volume of the monitoring area S. In addition, the monitoring area within the prefecture-level city in this embodiment is obtained by dividing the prefecture-level city area according to the water function or water demand. That is, the prefecture-level city area is divided according to the water function or water demand of different areas within the prefecture-level city area, and the division result is recorded as the monitoring area within the prefecture-level city area. The monitoring area within the prefecture-level city area includes, but is not limited to, agricultural areas, industrial areas, residential areas, etc. The above-mentioned process of dividing the prefecture-level city area according to the water function or water demand is well known, so it will not be described in detail in this embodiment.

[0017] This embodiment primarily uses the results of water consumption forecasting and available water volume forecasting as the basis for water resource regulation. However, water consumption and available water volume vary across different stages. For example, precipitation varies depending on the amount of rainfall, and residential water consumption varies due to climate change. These differences affect the accuracy of the forecast results. Therefore, this embodiment needs to obtain dividing nodes based on the available water volume corresponding to different types of available water resources in historical periods and the water consumption corresponding to different types of available water in historical periods. Time periods with similar water consumption or available water volume are grouped into one period, thus obtaining the dividing time periods for available water resource types and water consumption types. The dividing time periods for available water resource types and water consumption types are the foundation for subsequent accurate forecasting. The specific process for dividing the time periods for available water resource types and water consumption types is as follows:

[0018] First, the time period corresponding to the current year is recorded as the current monitoring time period. Then, a preset number of historical years that are closest to the current year in time are obtained as the nearest historical years of the current year. The time period corresponding to each nearest historical year of the current year is recorded as a historical monitoring time period. That is, a monitoring time period is a complete year. In this embodiment, the implementer needs to set the preset number value according to the actual situation. For example, in this embodiment, the preset number can be set to 3 or 5. If the preset number is 3, and the current year is represented by the symbol Q, then the nearest historical years of the current year in this embodiment are Q-1, Q-2, and Q-3, that is, the number of historical monitoring time periods is 3.

[0019] Furthermore, the types of usable water resources in each monitoring area of ​​this embodiment include, but are not limited to, surface water, groundwater, reclaimed water, and precipitation. The types of water use in each monitoring area include, but are not limited to, residential water use, industrial water use, and agricultural water use. Surface water refers to the general term for dynamic and static water bodies on the land surface, including visible water bodies such as rivers, lakes, swamps, reservoirs, and glaciers. Groundwater refers to gravity water buried in the pores, fissures, or aquifers of soil and rock below the surface. Reclaimed water refers to wastewater or rainwater that has been treated to meet specific water quality standards and can be recycled. Precipitation refers to liquid or solid water that falls to the ground after the condensation of water vapor in the atmosphere, including rain, snow, and hail. Residential water use refers to water directly consumed in daily life by households. Agricultural water use refers to water resources directly used for agricultural, forestry, animal husbandry, and fishery production. Industrial water use refers to water consumed in industrial production processes. Additionally, for any type of usable water resource, if the usable water resource type is groundwater, then the usable water resource... The available water volume corresponding to a water resource type refers to the amount of groundwater that can be extracted under economically reasonable and technically feasible extraction conditions, without causing environmental problems such as continuous decline in groundwater level, water quality deterioration, or land subsidence due to extraction, and without causing adverse impacts on the ecological environment. If the available water resource type belongs to the surface water resource type, then the available water volume corresponding to the available water resource type refers to the maximum one-time water volume outside the river channel that can be controlled and utilized through surface water engineering measures such as storage, diversion, and lifting, under the premise that it is economically reasonable, technically feasible, and meets the water use within the river channel while taking into account the water use downstream. If the available water resource type belongs to the reclaimed water resource type, then the available water volume corresponding to the available water resource type refers to the amount of water that meets the corresponding water quality standards after sewage treatment. If the available water resource type belongs to the precipitation resource type, then the available water volume corresponding to the available water resource type refers to the amount of liquid or solid water that falls to the ground surface after water vapor in the atmosphere condenses.

[0020] Then, the time period for any water use type H in the monitoring area S at the current time is obtained, and the specific process for obtaining the time period for water use type H in the monitoring area S at the current time is as follows:

[0021] First, the water use type H transition degree corresponding to each historical unit time period in each historical monitoring period is obtained. The larger the water use type H transition degree corresponding to any historical unit time period, the greater the difference in actual water consumption corresponding to water use type H between that historical unit time period and its adjacent historical unit time periods. All historical unit time periods with a water use type H transition degree greater than a preset transition degree threshold are then selected as the transition historical unit time periods for water use type H. That is, if the water use type H transition degree corresponding to a certain historical unit time period is greater than the preset transition degree threshold, then that historical unit time period is the transition historical unit time period for water use type H. Then, based on the water use type H transition degree corresponding to the transition historical unit time periods for water use type H, DBSCAN clustering is performed on all transition historical unit time periods for water use type H to obtain various clusters. The metric distance between transition historical unit time periods when performing DBSCAN clustering on all transition historical unit time periods for water use type H is the absolute value of the difference in water use type H transition degrees between historical unit time periods. Finally, the cluster with the most members among the obtained clusters is selected as the target cluster, that is, the cluster with the largest number of transition historical unit time periods is selected as the target cluster. If multiple clusters exist with the same number of members and are all the largest clusters, then any one of these clusters can be selected as the target cluster for water use type H. Then, all historical time-period transition types appearing in the target cluster are counted, and each historical time-period transition type is used as the segmented time-period corresponding to water use type H at the current monitoring time. In this embodiment, the unit time-period is one month. For example, the time-period corresponding to July of a certain year is one unit time-period. The monitoring period is one year. Historical time-period transitions of the same type are located within the same time range in different monitoring periods. For example, the time-period corresponding to July of a certain year and the time-period corresponding to July of all other years belong to the same type of unit time-period. Then, all segmented time-periods corresponding to water use type H are used to divide the current monitoring period, and the resulting new time-period is recorded as the segmented time-period of water use type H. That is, the resulting segmented time-period is a time-period composed of multiple consecutive months. In this embodiment, the segmented time-period corresponding to water use type H does not change at any time during the current monitoring time, or in other words, the segmented time-period of water use type H obtained at any time during the current monitoring time does not change.For example, if the target cluster of water type H has 5 transitional historical time units, where the first transitional historical time unit corresponds to July of year Q1, the second to July of year Q2, the third to March of year Q1, the fourth to March of year Q2, and the fifth to July of year Q3, where Q1, Q2, and Q3 belong to different years, the time units corresponding to July of year Q1, July of year Q2, and July of year Q3 are of the same type, and the time unit corresponding to March of year Q1 is... The segment and the time period corresponding to March of year Q1 are of the same type. Therefore, the segmented time period corresponding to water use type H at this time is the time period corresponding to March and the time period corresponding to July. Using the segmented time periods corresponding to water use type H at this time to divide the current monitoring time period, the first segmented time period of water use type H is the time period formed from January to March of the current year, including the time periods corresponding to January and March of the current year. The second segmented time period of water use type H is the time period formed from April to July of the current year, including the time periods corresponding to April and July of the current year. The third segmented time period of water use type H is the time period formed from August to December of the current year, including the time periods corresponding to August and December of the current year. Furthermore, in specific applications, implementers need to set a preset turning point threshold based on actual conditions, the range of turning point values, experimental statistics, etc. In this embodiment, the turning point value range is 0 to 1, and the preset turning point threshold can be set to 0.6.

[0022] In this embodiment, the specific process for obtaining the water use type H transition degree corresponding to each historical unit time period within each historical monitoring period is as follows: First, the actual water consumption corresponding to water use type H within each historical unit time period is obtained. For example, if water use type H is industrial water use, then if the industrial water consumption in monitoring area S within any historical unit time period is R, then the actual water consumption corresponding to water use type H within that historical unit time period is R. That is, if the historical unit time period corresponds to July of a certain historical year, then the actual industrial water consumption used in monitoring area S in July of that historical year is the actual water consumption corresponding to water use type H within that historical unit time period. In addition, water resource data such as precipitation, residential water consumption, agricultural water consumption, industrial water consumption, available groundwater, reclaimed water utilization, and surface water utilization are mainly obtained through water resources bureaus, meteorological bureaus, statistical bureaus, or water resource monitoring stations. After obtaining the actual water consumption corresponding to water type H in each historical unit time period within each historical monitoring period, for ease of understanding, this embodiment will next describe the process of obtaining the transition degree of water type H corresponding to the b-th historical unit time period within the a-th historical monitoring period as an example. The specific process of obtaining the transition degree of water type H corresponding to the b-th historical unit time period within the a-th historical monitoring period is as follows, where b is not equal to 1 and B, and B is the total number of historical unit time periods in the a-th historical monitoring period, i.e., b is not equal to 1 and 12:

[0023] First, obtain the water type H slope of the b-th historical unit time period within the a-th historical monitoring period and the water type H slope of the (b+1)-th historical unit time period within the a-th historical monitoring period. Then, calculate the absolute value of the difference between the water type H slope of the b-th historical unit time period and the water type H slope of the (b+1)-th historical unit time period, and record it as the slope characteristic difference. Next, perform a negative correlation mapping on the slope characteristic difference, and use the result of the negative correlation mapping as the water type H inflection degree corresponding to the b-th historical unit time period within the a-th historical monitoring period. The expression for obtaining the water type H inflection degree corresponding to the b-th historical unit time period within the a-th historical monitoring period is exp(-DK), where exp() is an exponential function with a base of constant e, and DK is the slope characteristic difference. Other real-time methods can also use... The expression for calculating the water use type H transition degree corresponding to the b-th historical time unit is as follows: Furthermore, the slope of water use type H for any historical time unit within the a-th historical monitoring period is the slope between the water use type H data point corresponding to that historical time unit and the water use type H data point corresponding to the adjacent historical time unit. The calculation process for the slope between any two data points is well-known; that is, the slope of water use type H for the b-th historical time unit within the a-th historical monitoring period is the slope between the water use type H data point corresponding to the b-th historical time unit and the water use type H data point corresponding to the (b-1)-th historical time unit within the a-th historical monitoring period. The method for obtaining the slope of water use type H for any historical time unit is the same as that for the b-th historical time unit. The process for obtaining the water use type H data point corresponding to any historical time unit within any historical monitoring period is as follows: First, obtain the data for each historical time unit. The month marker value is determined by the month marker value of the b-th historical unit time period within the a-th historical monitoring time period. For example, if a historical unit time period corresponds to July of a historical year, then the month marker value of that historical unit time period is 7. A two-dimensional coordinate system is constructed, with the horizontal axis representing the month marker value and the vertical axis representing the actual water consumption corresponding to water consumption type H. The month marker value of the historical unit time period and the actual water consumption corresponding to water consumption type H within the historical unit time period are then mapped onto the two-dimensional coordinate system to obtain the water consumption type H data points corresponding to each historical unit time period. That is, the horizontal axis of the water consumption type H data point corresponding to any historical unit time period within any historical monitoring time period is the order of that historical unit time period within that historical monitoring time period, or the month marker value of that historical monitoring time period and the vertical axis is the actual water consumption corresponding to water consumption type H within that historical unit time period.

[0024] Since the method for obtaining the time period division of any water use type or any available water resource type is the same as the method for obtaining the time period division of water use type H, this embodiment will not describe the process of obtaining the time period division of other water use types and the time period division of each available water resource type. That is, this embodiment can obtain the time period division of each water use type and the time period division of each available water resource type through the above process.

[0025] After obtaining the segmented time period, this embodiment needs to obtain the prediction unit time period. The purpose of obtaining the prediction unit time period in this embodiment is mainly to predict the water consumption and available water volume within the prediction unit time period, and then make water resource adjustments based on the prediction results, thereby avoiding or preventing the lag in water resource scheduling or adjustment, and improving the timeliness and accuracy of water resource scheduling. The specific process of obtaining the prediction unit time period is as follows: First, obtain the control judgment time, and in this embodiment, the control judgment time is the end time of the last day of the month and the start time of the first day of the month. In this embodiment, it is determined whether the current time is the control judgment time. If so, the month following the current time is taken as the prediction unit time period. For example, if the current time is the end time of the last day of March of a certain year, then the prediction unit time period is the time period corresponding to April of that year. Otherwise, obtain the control judgment time that is before the current time and is closest to the current time in time, and record it as the nearest neighbor control judgment time. The month following the nearest neighbor control judgment time is taken as the prediction unit time period.

[0026] Step S002: Determine whether the available water resource type is a groundwater resource type. If not, record the time period containing the predicted unit time period in the time period division of the available water resource type as the characteristic time period division. Based on the position of the predicted unit time period in the characteristic time period division and the actual available water volume corresponding to the available water resource type in the same historical time period as the characteristic time period division, obtain the predicted available water volume corresponding to the available water resource type in the predicted unit time period division. Record the time period containing the predicted unit time period in the time period division of the water use type as the current time period division. Based on the position of the predicted unit time period in the current time period division and the actual water use volume corresponding to the water use type in the same historical time period as the current time period division, obtain the predicted water use volume corresponding to the water use type in the predicted unit time period division.

[0027] Since this embodiment will subsequently use the predicted water consumption and predicted available water consumption within the predicted unit time period as the basis for water resource scheduling, this embodiment will next predict the available water consumption corresponding to each available water resource type and the water consumption corresponding to each water consumption type within the predicted unit time period. This embodiment will first describe the process of obtaining the predicted water consumption corresponding to water consumption type H within the predicted unit time period as an example. The process of obtaining the predicted water consumption corresponding to water consumption type H within the predicted unit time period is as follows: First, among all the time periods divided for water consumption type H, the time period containing the predicted unit time period is obtained and recorded as the current time period of water consumption type H. The current time period of water consumption type H is recorded as the current time period HT. Then, based on the position of the predicted unit time period in the current time period HT and the actual water consumption corresponding to water consumption type H within the same time range as the current time period HT, the predicted water consumption corresponding to the available water resource type within the predicted unit time period is obtained. The specific process of obtaining the predicted water consumption corresponding to water consumption type H within the predicted unit time period based on the position of the predicted unit time period in the current time period HT and the actual water consumption corresponding to water consumption type H within the same time range as the current time period HT is as follows:

[0028] First, determine if the predicted unit time period is the first unit time period in the current time period segment HT. If so, obtain historical time periods within the same time range as the current time period HT from all historical monitoring time periods, and record them as historical time periods within the same range corresponding to the current time period HT. Based on the actual water consumption of water type H within each historical unit time period within the same range, predict the water consumption of water type H within the current time period HT to obtain the predicted water consumption of water type H within the current time period HT, and use the predicted water consumption of water type H within the current time period HT as the predicted water consumption of water type H within the predicted unit time period. Otherwise, continue to determine if the predicted unit time period is the second unit time period in the current time period HT. If so, obtain the actual water consumption of water type H within the first unit time period in the current time period HT, and use the actual water consumption of water type H within the first unit time period in the current time period HT as the predicted water consumption of water type H within the predicted unit time period. Otherwise, determine if the predicted unit time period is the third unit time period in the current time period HT. If so, based on the actual water consumption of water type H within the first unit time period in the current time period HT... The actual water consumption corresponding to water type H within a segment and the actual water consumption corresponding to water type H within the second unit time period in the current time period HT are used to predict the water consumption corresponding to water type H within the third unit time period in the current time period HT. This predicted water consumption is then used as the predicted water consumption for the predicted unit time period. This process is repeated to obtain the predicted water consumption for the predicted unit time period. In other words, if the predicted unit time period belongs to the c-th unit time period in the current time period HT, where c is greater than 2, then the predicted water consumption for the predicted unit time period is obtained by predicting the actual water consumption corresponding to water type H within all unit time periods preceding the c-th unit time period in the current time period HT. Furthermore, when obtaining the predicted water consumption for water type H within other unit time periods in the current time period HT, except for the first unit time period, the data used only includes the actual water consumption parameters obtained in the current time period HT. This prediction method makes the prediction results more accurate and reliable.

[0029] In this embodiment, the process of predicting the water consumption of water type H within the current time period HT based on the actual water consumption of water type H within each historical unit time period in the same historical time period is as follows:

[0030] First, obtain the historical actual water consumption corresponding to each historical time period within the same range corresponding to the current time period HT. The historical actual water consumption corresponding to any historical time period within the same range is the average of the actual water consumption corresponding to water type H within all historical time units within that historical time period. Then, perform linear fitting on the historical actual water consumption corresponding to all historical time periods within the same range, and denote the resulting straight line as the first fitted line. The specific process for obtaining the first fitted line by linear fitting on the historical actual water consumption corresponding to all historical time periods within the same range is as follows: First, sort all historical time periods within the same range corresponding to the current time period HT according to their chronological order, and denote the sorted sequence as the historical time period sequence within the same range. Then, mark each historical time period within the same range according to its position to obtain the historical water consumption within the same range. The location marker values ​​of each historical time period within the same range in the time period sequence are obtained, and the location marker value of the f-th historical time period within the same range in the historical time period sequence is f. Then, a mapping coordinate system is constructed, with the horizontal axis of the mapping coordinate system representing the location marker value and the vertical axis representing the historical actual water consumption. Then, the location marker values ​​of each historical time period within the same range and the historical actual water consumption corresponding to the historical time period within the same range are mapped to the mapping coordinate system to obtain the mapping data points corresponding to each historical time period within the same range. The horizontal axis of any mapping data point corresponding to the historical time period within the same range is the location marker value of that historical time period within the same range, and the vertical axis is the historical actual water consumption corresponding to that historical time period within the same range. Then, linear fitting is performed on all the mapping data points in the mapping coordinate system, and the straight line obtained by the fitting is the first fitting straight line. In this embodiment, the least squares method is used to complete the linear fitting.

[0031] Next, the fitted water consumption corresponding to water type H within each historical time period of the same range is obtained on the first fitted straight line. The process of obtaining the fitted water consumption corresponding to water type H within any historical time period of the same range is as follows: Data points with horizontal coordinates of the location marker value for the corresponding historical time period are obtained on the first fitted straight line, and the vertical coordinate value of these data points is used as the fitted water consumption corresponding to water type H within the corresponding historical time period of the same range. Then, based on the differences between the fitted water consumption corresponding to water type H within all historical time periods of the same range corresponding to the current time period HT and the historical actual water consumption corresponding to water type H within the corresponding historical time period of the same range, as well as the time interval between the current monitoring time period and the historical monitoring time periods to which each historical time period belongs, the predicted influence weight of the historical actual water consumption corresponding to water type H within each historical time period of the same range is obtained. The predicted influence weight is the influence weight of the historical actual water consumption corresponding to water type H within the corresponding historical time period of the same range on the prediction result. Then, based on the predicted influence weight of the historical actual water consumption corresponding to water type H within each historical time period of the current time period and the water type within each historical time period of the same range... The historical actual water consumption corresponding to H is used to predict the water consumption corresponding to water type H within the current time period HT using the ARIMA algorithm, thus obtaining the predicted water consumption corresponding to water type H within the current time period HT. That is, given the specific values ​​of historical data and the influence weight of historical data on the predicted value, the process of using the ARIMA algorithm to predict data for future time periods to obtain the predicted value is well known. Therefore, this embodiment will not describe in detail the process of obtaining the predicted water consumption corresponding to water type H within the current time period HT using the ARIMA algorithm given the predicted influence weight of the historical actual water consumption corresponding to water type H within the same historical time period and the historical actual water consumption corresponding to water type H within the same historical time period.

[0032] In this embodiment, the specific process for obtaining the predicted influence weight of the historical actual water consumption corresponding to the water consumption type H within each historical time period of the same range corresponding to the current time period HT is as follows:

[0033] For any historical time period B within the same range corresponding to the current time period HT, calculate the absolute value of the difference between the fitted water consumption corresponding to water type H within the same historical time period B and the historical actual water consumption corresponding to water type H within the same historical time period B. This difference is denoted as the first difference. The first difference is added to a preset first constant, and the reciprocal is taken as the first indicator value. The reciprocal of the time interval between the current monitoring time period and the historical monitoring time period to which historical time period B belongs is obtained and used as the second indicator value. The result obtained by normalizing the first indicator value is then combined with the result obtained by normalizing the second indicator value. The average of the results is used as the predictive influence weight of the historical actual water consumption corresponding to water type H within the same historical time period B. Since the time period corresponding to the current year is the current monitoring time period, and the time period corresponding to the nearest historical year of the current year is the historical monitoring time period, if the year to which the same historical time period B belongs is V1, and the current year is V2, then V2 minus V1 is the time interval between the current monitoring time period and the historical monitoring time period to which the same historical time period B belongs. Furthermore, the specific expression for obtaining the predictive influence weight of the historical actual water consumption corresponding to water type H within the same historical time period B is as follows:

[0034]

[0035] in, The predicted influence weights are defined as follows: Norm() is the normalization function; K1 is the historical actual water consumption corresponding to water type H within the same historical time period B; K2 is the fitted water consumption corresponding to water type H within the same historical time period B; T is the time interval between the current monitoring time period and the historical monitoring time period to which the same historical time period B belongs; and c1 is a preset first constant. Here, c1 is used to prevent the denominator from being zero. In specific applications, implementers can set the value of c1 according to the actual situation; for example, in this embodiment, the value of c1 is set to 0.01. Furthermore, this embodiment ensures that the smaller the difference from the fitted result and the closer the data is to the current monitoring time period, the greater its influence on the prediction result. Therefore, when... The smaller and the smaller T is, The larger, and The larger the value, the greater the impact of the actual water consumption corresponding to water type H within the same historical time period B on the prediction results.

[0036] In this embodiment, the process of obtaining the predicted water consumption corresponding to water type H in the third unit time period of the current time period HT is as follows: First, obtain the predicted influence weight of the actual water consumption corresponding to water type H in the first unit time period of the current time period HT and the predicted influence weight of the actual water consumption corresponding to water type H in the second unit time period of the current time period HT. Then, based on the actual water consumption corresponding to water type H in the first unit time period of the current time period HT and the predicted influence weight of the actual water consumption corresponding to water type H in the first unit time period of the current time period HT, and the actual water consumption corresponding to water type H in the second unit time period of the current time period HT and the predicted influence weight of the actual water consumption corresponding to water type H in the second unit time period of the current time period HT, use the ARIMA algorithm to analyze the predicted water consumption of the current time period HT. The water consumption corresponding to water type H in the third unit time period is predicted to obtain the predicted water consumption corresponding to water type H in the third unit time period of the current time period HT. Given that the specific values ​​of the historical data used in the prediction and the influence weight of the historical data on the predicted value are known, the process of obtaining the prediction result using the ARIMA algorithm is also known. Therefore, it will not be described in detail further.

[0037] Furthermore, when predicting the water consumption corresponding to water type H within the third time unit of the current time period HT, the calculation expression for the prediction influence weight of the actual water consumption corresponding to water type H within the first time unit of the current time period HT is as follows: L1 is the absolute value of the difference between the actual water consumption of water type H in the first unit time period of the current time period HT and the fitted water consumption of water type H in the first unit time period of the current time period HT. T1 is the time interval between the first unit time period and the third unit time period of the current time period HT. When predicting the water consumption of water type H in the third unit time period of the current time period HT, the calculation expression for the prediction influence weight of the actual water consumption of water type H in the second unit time period of the current time period HT is as follows: L2 is the absolute value of the difference between the actual water consumption of water type H in the second unit time period of the current time period HT and the fitted water consumption of water type H in the second unit time period of the current time period HT. T2 is the time interval between the second and third unit time periods of the current time period HT. That is, when predicting the water consumption of water type H in the third unit time period of the current time period HT, the process of obtaining the fitted water consumption of water type H in the first and second unit time periods of the current time period HT is as follows: linearly fit the data points of water type H in the first and second unit time periods of the current time period HT, and denote the resulting fitted line as the characteristic line. On the characteristic line, obtain the ordinate value of the data point with the same x-coordinate value as the data point of water type H in the first unit time period of the current time period HT, and denote it as the data point with the same x-coordinate value as the data point of water type H in the first unit time period of the current time period HT. When predicting the water consumption of water type H in the third time period of the current time period HT, the fitted water consumption of water type H in the first time period of the current time period HT is used. The ordinate value of the data point on the characteristic line that has the same x-coordinate value as the water type H data point in the second time period of the current time period HT is obtained and recorded as the fitted water consumption of water type H in the second time period of the current time period when predicting the water consumption of water type H in the third time period of the current time period HT. The x-coordinate of the water type H data point in any time period of the current time period HT represents the order of that time period within the current monitoring time period, and the ordinate represents the actual water consumption of water type H in that time period. Therefore, based on the above analysis, it can be seen that when predicting the water consumption of water type H in different time periods of the current time period HT, the prediction influence weight of the historical data used will change. That is, as the predicted data changes within the unit time period, the prediction influence weight of the historical data used for prediction will also change. Furthermore, in this embodiment, the method for obtaining the predicted water consumption corresponding to other water use types within the predicted time period is the same as the method for obtaining the predicted water consumption corresponding to water use type H within the predicted time period, so it will not be described in detail here.

[0038] After obtaining the predicted water consumption, the predicted available water volume is then obtained. The specific process for obtaining the predicted available water volume is as follows: For any available water resource type J, firstly, it is determined whether available water resource type J is a groundwater resource type. If so, the maximum required or planned groundwater extraction volume for the monitored area S within the predicted unit time period can be directly obtained, and this can be directly used as the predicted available water volume corresponding to available water resource type J within the predicted unit time period. That is, the groundwater extraction volume for any monitored area is generally planned in advance to avoid over-extraction and impact on the ecology. Moreover, if available water resource type J is a groundwater resource type for monitored area S, then the actual available water volume corresponding to available water resource type J within any unit time period is the maximum required or planned groundwater extraction volume within the corresponding unit time period; otherwise, the actual available water volume is determined by the maximum groundwater extraction volume within the predicted unit time period. Using all the time periods divided for water resource type J, the time periods containing the predicted unit time period are obtained and denoted as the characteristic time periods of available water resource type J. These characteristic time periods are then denoted as characteristic time periods JT. Based on the position of the predicted unit time period within characteristic time periods JT and the actual available water volume corresponding to available water resource type J within the same time range as characteristic time periods JT, the predicted available water volume corresponding to available water resource type J within the predicted unit time period is obtained. The specific process for obtaining the predicted available water volume corresponding to available water resource type J within the predicted unit time period based on the position of the predicted unit time period within characteristic time periods JT and the actual available water volume corresponding to available water resource type J within the same time range as characteristic time periods JT is as follows:

[0039] First, determine whether the predicted unit time period is the first unit time period in the characteristic time period JT. If so, obtain historical time periods belonging to the same time range as the characteristic time period JT from all historical monitoring time periods, and record them as the characteristic historical time periods corresponding to the characteristic time period JT. Based on the actual available water volume corresponding to the available water resource type J in each historical unit time period in the characteristic historical time period, predict the water consumption corresponding to the available water resource type J in the characteristic time period JT, and obtain the predicted available water volume corresponding to the available water resource type J in the characteristic time period JT. Then, record the available water resources in the characteristic time period JT. The available water volume corresponding to source type J is used as the predicted available water volume corresponding to source type J within the predicted unit time period; otherwise, it is further determined whether the predicted unit time period is the second unit time period in the feature-divided time period JT. If so, the actual available water volume corresponding to source type J within the first unit time period in the feature-divided time period JT is obtained, and the actual available water volume corresponding to source type J within the first unit time period in the feature-divided time period JT is used as the predicted available water volume corresponding to source type J within the predicted unit time period; otherwise, it is further determined whether the predicted unit time period is the feature-divided time period. If the third time unit in segment JT is such that the actual available water volume corresponding to the available water resource type J in the first time unit and the actual available water volume corresponding to the available water resource type J in the second time unit of segment JT are used to predict the available water volume corresponding to the available water resource type J in the third time unit of segment JT, thus obtaining the predicted available water volume corresponding to the available water resource type J in the third time unit of segment JT. The predicted available water volume is the predicted available water volume corresponding to the available water resource type J within the predicted unit time period. This process is repeated to obtain the predicted available water volume corresponding to the available water resource type J within the predicted unit time period. The available water volume corresponding to any available water resource type within any time period refers to the amount of water resources belonging to the available water resource type generated within that time period. For example, the available water volume corresponding to the reclaimed water resource type within any time period refers to the total amount of reclaimed water generated within the monitoring area S within that time period. If the amount of reclaimed water generated within the monitoring area S within that time period is M1, then the available water volume corresponding to the reclaimed water resource type within that period is M1.Furthermore, the process of obtaining the predicted available water volume corresponding to the available water resource type J within the characteristic time period JT is the same as the method of obtaining the predicted water volume corresponding to the water use type H within the current time period HT. The process of obtaining the predicted available water volume corresponding to the available water resource type J within the third unit time period in the characteristic time period JT is the same as the method of obtaining the predicted water volume corresponding to the water use type H within the third unit time period in the current time period HT. Therefore, this embodiment will not describe it in detail.

[0040] Therefore, this embodiment can obtain the predicted available water volume corresponding to the type of available water resources within a predicted time period through the above process.

[0041] Step S003: Adjust the water resources of the monitored area according to the difference between the predicted available water volume and the predicted water consumption.

[0042] First, the predicted available water volume corresponding to all available water resource types within the predicted time period is accumulated, and the accumulated result is used as the total predicted available water volume. Then, the predicted water volume corresponding to all water use types within the predicted time period is accumulated, and the accumulated result is used as the total predicted water volume. Finally, the total predicted available water volume minus the total predicted water volume is calculated and used as the estimated remaining water volume of the monitored area S within the predicted time period.

[0043] Then, it is determined whether the estimated remaining water volume of monitoring area S within the predicted unit time period is less than the preset control threshold corresponding to monitoring area S. If so, it indicates that the probability of water shortage in monitoring area S in the future time period is extremely high. In order to avoid water shortage in monitoring area S within the predicted unit time period or to avoid excessive extraction of groundwater in monitoring area S, water resources from other monitoring areas need to be transferred to monitoring area S. In this case, monitoring area S is marked as a water-scarce monitoring area. If the estimated remaining water volume of monitoring area S within the predicted unit time period is equal to the preset control threshold corresponding to monitoring area S, it indicates that monitoring area S will not be water-scarce in the future time period, or that the probability of water shortage in monitoring area S in the future time period is extremely low if water resources from other monitoring areas do not need to be transferred to monitoring area S. In this case, monitoring area S is marked as a non-transfer monitoring area. When the estimated remaining water volume of monitoring area S within the predicted unit time period is greater than the preset control threshold corresponding to monitoring area S, it indicates that the water resources of monitoring area S are relatively abundant within the predicted unit time period, and there is still a surplus to be transferred to other water-scarce monitoring areas. In this case, monitoring area S is marked as a water-abundant monitoring area. In practical applications, implementers need to set the preset control judgment threshold corresponding to the monitoring area S based on experience, experimental statistics, and actual conditions. For example, in this embodiment, the preset control judgment threshold corresponding to the monitoring area S can be set to 0, or the preset control judgment threshold corresponding to the monitoring area S can be set to 10% or 15% of the total predicted usable water volume.

[0044] In this embodiment, the water resource allocation among monitoring areas within the prefecture-level city can be based on the following allocation rules: First, within the prefecture-level city, the absolute value of the estimated remaining water volume of all water-scarce monitoring areas within the prefecture-level city is recorded as the water scarcity of the corresponding water-scarce monitoring area. The estimated remaining water volume of all water-sufficient monitoring areas within the prefecture-level city is recorded as the total adjustable water volume of the corresponding water-sufficient monitoring area. Then, all water-scarce monitoring areas within the prefecture-level city are sorted from largest to smallest water scarcity, and the sorting result is recorded as a water-scarce monitoring area sequence. Monitoring areas ranked higher in the water-scarce monitoring area sequence are allocated water first. Next, the priority rate for water allocation from water-sufficient monitoring areas to various water-scarce monitoring areas is obtained. For any water-scarce monitoring area, the corresponding water allocation sequence is obtained, and this sequence consists of all water-sufficient monitoring areas. The earlier a water-sufficient monitoring area is in the sequence, the higher its priority in transferring water to the water-scarce monitoring area. The amount of water a water-sufficient monitoring area can receive is its water scarcity. The maximum amount of water a water-sufficient monitoring area can transfer to other monitoring areas is its available water volume. When the amount of water transferred from a water-sufficient monitoring area to other monitoring areas reaches its available water volume, the available water resources in that water-sufficient monitoring area will no longer be transferred to other monitoring areas in this water resource allocation. Therefore, this embodiment can achieve water cycle allocation between monitoring areas or water resource cycle allocation within a region based on the above rules. The method for obtaining the estimated remaining water volume of any monitoring area within a unit time period in this embodiment is the same as the method for obtaining the estimated remaining water volume of monitoring area S within a unit time period.

[0045] In addition, the formula for calculating the priority of water transfer from any resource-sufficient monitoring area to the water-scarce monitoring area is as follows: , ,in, The priority for water transfer from the resource-sufficient monitoring area to the water-scarce monitoring area is defined by: Norm() is the normalization function, Max() is the maximum value function, Z0 is the feature index, which is also the result of adding the estimated remaining water volume of the resource-sufficient monitoring area and the estimated remaining water volume of the water-scarce monitoring area within a unit time period, and then adding it to a preset first constant. c1 is the preset first constant, which exists here to ensure that the adjustable water volume of the resource-sufficient monitoring area is not 0 when the water scarcity of the water-scarce monitoring area is the same as that of the water-scarce monitoring area. d0 is the geographical distance between the resource-sufficient monitoring area and the water-scarce monitoring area. Z1 is the estimated remaining water volume of the resource-sufficient monitoring area within a unit time period, and Z2 is the estimated remaining water volume of the water-scarce monitoring area within a unit time period. The larger the value, the closer the distance between the water-scarce monitoring area and the water-scarce monitoring area, the more water the water-scarce monitoring area has available for transfer, and the greater the priority for the water-scarce monitoring area to transfer water to the water-scarce monitoring area.

[0046] Therefore, this embodiment obtains the sequence of water-scarce monitoring areas and the corresponding water diversion sequence through the above process. The water-scarce monitoring area that ranks higher in the sequence receives usable water resources from other water-sufficient monitoring areas first. Similarly, the water-scarce monitoring area that ranks higher in the water diversion sequence receives usable water resources from water-sufficient monitoring areas first. Furthermore, in this water resource allocation, if the total available water volume of the first water-sufficient monitoring area in the water diversion sequence corresponding to water-scarce monitoring area Y is less than the water scarcity of water-scarce monitoring area Y, then the available water resources of the first water-sufficient monitoring area in the water diversion sequence corresponding to water-scarce monitoring area Y are allocated to that water-scarce monitoring area first. If the sum of the total adjustable water volume and the total adjustable water volume of the second water-sufficient monitoring area in the water transfer sequence corresponding to water-scarce monitoring area Y is greater than or equal to the water scarcity of water-scarce monitoring area Y, and if the usable water resources in the first and second water-sufficient monitoring areas in the water transfer sequence corresponding to water-scarce monitoring area Y have not yet begun to be transferred to other water-scarce monitoring areas, then at this time, while the usable water resources in the first water-sufficient monitoring area in the water transfer sequence corresponding to water-scarce monitoring area Y are transferred to that water-scarce monitoring area, the usable water resources in the second water-sufficient monitoring area in the water transfer sequence corresponding to water-scarce monitoring area Y will also be transferred to water-scarce monitoring area Y. Furthermore, at this point, the amount of water transferred from the first water-sufficient monitoring area to the water-scarce monitoring area Y in the water transfer sequence is the entirety of the total adjustable water volume of the first water-sufficient monitoring area in the water transfer sequence corresponding to the water-scarce monitoring area Y. At this point, the amount of water transferred from the second water-sufficient monitoring area to the water-scarce monitoring area Y in the water transfer sequence is the amount of water still lacking in the water-scarce monitoring area Y after all the total adjustable water volume of the first water-sufficient monitoring area in the water transfer sequence has been transferred to the water-scarce monitoring area Y. That is, the amount of water transferred from the second water-sufficient monitoring area to the water-scarce monitoring area Y is the water shortage amount of the water-scarce monitoring area Y minus the amount of water still lacking in the first water-sufficient monitoring area. The total adjustable water volume of a water-sufficient monitoring area, and the area whose adjustable water volume has been exhausted will no longer participate in the scheduling of other water-scarce monitoring areas. If a water-sufficient monitoring area has already spun off water to a water-scarce monitoring area but has not yet exhausted its corresponding total adjustable water volume, then the water-sufficient monitoring area can still participate in the subsequent water resource scheduling of other water-scarce monitoring areas. The water volume that the water-sufficient monitoring area subsequently spun off to other areas is the remaining adjustable water volume. At a certain moment, the remaining adjustable water volume of the water-sufficient monitoring area is the result obtained by subtracting the amount of water that the water-sufficient monitoring area has spun off before that moment from the estimated remaining water volume of the water-sufficient monitoring area.Specifically, for water-scarce monitoring region X, when it's the turn of water-sufficient monitoring regions to begin allocating water to water-scarce monitoring region X, the first water-sufficient monitoring region in the water allocation sequence corresponding to water-scarce region X has no remaining available water; the amount of water already allocated from the total available water of the second water-sufficient monitoring region in the water allocation sequence corresponding to water-scarce region X is N1, and the remaining available water is N2. Therefore, the remaining available available water of the second water-sufficient monitoring region in the water allocation sequence corresponding to water-scarce region X is N0-. N1 and N0 represent the total available water volume of the second water-sufficient monitoring area in the water diversion sequence corresponding to water-monitoring area X. If the water shortage in water-scarce monitoring area X is N3, and N3 is less than N2, then the available water resources in the second water-sufficient monitoring area in the water diversion sequence corresponding to water-scarce monitoring area X need to be diverted to water-scarce monitoring area X. The amount of water diverted from the second water-sufficient monitoring area in the water diversion sequence corresponding to water-scarce monitoring area X to water-scarce monitoring area X is equal to the water shortage in water-scarce monitoring area X. Alternatively, in other real-time scenarios, existing water resource allocation methods can be used when a water-scarce area is detected.

[0047] Therefore, this embodiment completes the scheduling of water resources. In order to increase water users' awareness of water conservation and promote low-carbon and environmentally friendly awareness, relevant departments can also adjust water fees based on water consumption or set tiered water prices based on predicted water consumption. In addition, the above-mentioned scheduling or regulation of water resources among monitoring areas within a prefecture-level city based on the estimated remaining water volume of the monitored area within a predicted time period can not only realize the circular scheduling of water resources within the region, promote low-carbon and environmental protection, and reduce water waste, but also improve the efficiency, timeliness, and accuracy of water resource regulation and management within the region. Water resource scheduling is necessary because without it, water-scarce areas would over-exploit groundwater, thereby disrupting the ecological balance. While water resources in abundance can be stored, the evaporation characteristics of water may lead to the loss and waste of these resources. Therefore, through the water resource scheduling in this embodiment, the water shortage problem in water-scarce areas can be solved, while maximizing the use of surplus water resources to achieve the goal of environmental protection.

[0048] In summary, the process first involves obtaining the time periods for each type of available water resource and each type of water use within the monitoring area. Then, it determines whether the available water resource type is groundwater. If not, the time period containing the predicted unit time period within the available water resource type's time period is designated as the characteristic time period. Based on the position of the predicted unit time period within the characteristic time period and the actual available water volume corresponding to the available water resource type within the same historical time period, the predicted available water volume for that specific water resource type within the predicted unit time period is obtained. Next, the time period containing the predicted unit time period within the water use type's time period is designated as the current time period. Based on the position of the predicted unit time period within the current time period and the actual water consumption corresponding to the water use type within the same historical time period, the predicted water consumption for that water use type within the predicted unit time period is obtained. Finally, the water resources in the monitoring area are regulated based on the difference between the predicted available water volume and the predicted water consumption. This embodiment, by regulating the water resources in the monitoring area based on the difference between the predicted available water volume and the predicted water consumption, can improve the efficiency, timeliness, and accuracy of water resource regulation and management.

[0049] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for intelligent optimization and regulation of water resources for low-carbon and environmentally friendly purposes, characterized in that, The method includes the following steps: Obtain the time periods for each type of available water resources and each type of water use within the monitoring area; Determine whether the available water resource type is a groundwater resource type. If not, record the time period containing the predicted unit time period in the time period division of the available water resource type as the characteristic time period. Based on the position of the predicted unit time period in the characteristic time period and the actual available water volume corresponding to the available water resource type in the same historical time period as the characteristic time period, obtain the predicted available water volume corresponding to the available water resource type in the predicted unit time period. Record the time period containing the predicted unit time period in the time period division of the water use type as the current time period. Based on the position of the predicted unit time period in the current time period and the actual water use volume corresponding to the water use type in the same historical time period as the current time period, obtain the predicted water use volume corresponding to the water use type in the predicted unit time period. Water resources in the monitored area are regulated based on the difference between the predicted available water volume and the predicted water consumption. The methods for dividing the time periods for each type of available water resources and for obtaining the time periods for each type of water use include: For any water use type H: Obtain the turning point of water use type H corresponding to each historical unit time period in a preset number of historical monitoring time periods. Record all historical unit time periods with a turning point of water use type H greater than a preset turning point threshold as the turning historical unit time period of water use type H. Based on the turning point of water use type H corresponding to the turning historical unit time period of water use type H, cluster all turning historical unit time periods of water use type H to obtain each cluster. Select the cluster with the most turning historical unit time periods as the target cluster of water use type H. Count all turning historical unit time period types appearing in the target cluster. Use each turning historical unit time period type as the segmentation unit time period corresponding to water use type H. Turning historical unit time periods belonging to the same turning historical unit time period type are located in the same time range in different monitoring time periods. Use the segmentation unit time period corresponding to water use type H to divide the current monitoring time period. Record the new time period obtained by the division as the segmentation time period of water use type H. The method for obtaining the time period for dividing the available water resource type is the same as the method for obtaining the time period for dividing the water use type H. The methods for obtaining the water use type transition degree H corresponding to each historical time unit include: Obtain the actual water consumption corresponding to water type H within each historical time unit; For the b-th historical unit time period within the a-th historical monitoring period, the slope of water use type H for the b-th historical unit time period and the slope of water use type H for the (b+1)-th historical unit time period are obtained. The result of negative correlation mapping is obtained by calculating the absolute value of the difference between the slope of water use type H for the b-th historical unit time period and the slope of water use type H for the (b+1)-th historical unit time period, and this result is used as the turning point of water use type H corresponding to the b-th historical unit time period. b is not equal to 1 and B, where B is the total number of historical unit time periods within the a-th historical monitoring period. The slope of water use type H for any historical unit time period within the a-th historical monitoring period is the slope between the water use type H data point corresponding to the historical unit time period and the water use type H data point corresponding to the adjacent historical unit time period. The x-coordinate of the water use type H data point corresponding to any historical unit time period within any historical monitoring period is the order of the historical unit time period within the historical monitoring period, and the y-coordinate is the actual water consumption corresponding to water use type H within the historical unit time period.

2. The intelligent optimization and regulation method for low-carbon and environmentally friendly water resources as described in claim 1, characterized in that, Methods for obtaining the predicted water consumption for each water use type within a given time period include: For the water use type H: Among all the time periods of the water use type H, the time period that includes the predicted unit time period is denoted as the current time period HT; based on the position of the predicted unit time period in the current time period HT and the actual water use of water use type H in the same historical time period as the current time period HT, the predicted water use of water use type H in the predicted unit time period is obtained.

3. The intelligent optimization and regulation method for low-carbon and environmentally friendly water resources as described in claim 2, characterized in that, Methods for obtaining the predicted water consumption corresponding to water type H within a predicted time period include: If the predicted time period is the first time period in the current time period segment HT, determine whether the predicted time period is the first time period in the current time period segment HT. If so, obtain historical time periods within the same time range as the current time period segment HT from all historical monitoring time periods, and record them as historical time periods within the same range corresponding to the current time period segment HT. Based on the actual water consumption of water type H in each historical time period within the same range, predict the water consumption of water type H in the current time period segment HT to obtain the predicted water consumption of water type H in the current time period segment HT, and use it as the predicted water consumption of water type H in the predicted time period. Otherwise, continue to determine whether the predicted time period is the second time period in the current time period segment HT. If so, use the first time period in the current time period segment HT as the predicted water consumption of water type H in the predicted time period. The actual water consumption corresponding to water type H is used as the predicted water consumption corresponding to water type H within the predicted unit time period. Otherwise, it is determined whether the predicted unit time period is the third unit time period in the current time period division HT. If so, the water consumption corresponding to water type H in the third unit time period in the current time period division HT is predicted based on the actual water consumption corresponding to water type H in the first unit time period and the actual water consumption corresponding to water type H in the second unit time period in the current time period division HT. This predicted water consumption corresponding to water type H in the third unit time period in the current time period division HT is used as the predicted water consumption corresponding to water type H within the predicted unit time period. This process is repeated to obtain the predicted water consumption corresponding to water type H within the predicted unit time period.

4. The intelligent optimization and regulation method for low-carbon and environmentally friendly water resources as described in claim 3, characterized in that, The methods for obtaining the predicted water consumption corresponding to water type H within the current time period HT include: The average actual water consumption of water type H within all historical time periods within the same historical time range is taken as the historical actual water consumption of water type H within the corresponding historical time period. A first fitted line is obtained by performing linear fitting on the historical actual water consumption of water type H within all historical time periods within the same historical time range. The fitted water consumption of water type H within each historical time period within the same historical time range is obtained on the first fitted line. Based on the difference between the fitted water consumption of water type H within each historical time period within the same historical time range and the historical actual water consumption of water type H within the corresponding historical time period within the same historical time range, as well as the time interval between the current monitoring time period and the historical monitoring time period to which each historical time period belongs, the predicted influence weight of the historical actual water consumption of water type H within each historical time period within the same historical time range is obtained. Based on the predicted influence weight of the historical actual water consumption corresponding to water consumption type H in each historical time period within the same range, and the historical actual water consumption corresponding to water consumption type H in each historical time period within the same range, the predicted water consumption corresponding to water consumption type H in the current time period HT is predicted using the ARIMA algorithm.

5. The intelligent optimization and regulation method for low-carbon and environmentally friendly water resources as described in claim 4, characterized in that, The methods for obtaining the predicted influence weights of historical actual water consumption corresponding to water type H within each historical time period of the same range include: For any historical time period within the same range, the absolute value of the difference between the fitted water consumption corresponding to water type H within the same historical time period and the historical actual water consumption corresponding to water type H within the same historical time period is denoted as the first difference. The first difference is added to a preset first constant and the reciprocal is taken as the first index value. The reciprocal of the time interval between the current monitoring time period and the historical monitoring time period to which the historical time period within the same range belongs is taken as the second index value. The mean of the result obtained by normalizing the first index value and the result obtained by normalizing the second index value is taken as the predictive influence weight of the actual water consumption corresponding to water type H within the same historical time period.

6. The intelligent optimization and regulation method for low-carbon and environmentally friendly water resources as described in claim 5, characterized in that, The method for obtaining the predicted water consumption corresponding to water type H within the third unit time period in the current time period HT includes: Obtain the predicted influence weight of the actual water consumption of water type H in the first unit time period of the current time period HT and the predicted influence weight of the actual water consumption of water type H in the second unit time period of the current time period HT. Based on the actual water consumption of water type H in the first unit time period, the actual water consumption of water type H in the second unit time period, the predicted influence weight of the actual water consumption of water type H in the first unit time period, and the predicted influence weight of the actual water consumption of water type H in the second unit time period, use the ARIMA algorithm to predict the predicted water consumption of water type H in the third unit time period of the current time period HT.

7. The intelligent optimization and regulation method for low-carbon and environmentally friendly water resources as described in claim 2, characterized in that, The method for obtaining the predicted available water volume for any available water resource type that does not belong to the groundwater resource type within the predicted time period is the same as the method for obtaining the predicted water volume for water use type H within the predicted time period.

8. The intelligent optimization and regulation method for low-carbon and environmentally friendly water resources as described in claim 1, characterized in that, A method for regulating water resources in a monitored area based on the difference between the predicted available water volume and the predicted water consumption includes: The total predicted available water volume is obtained by summing the predicted available water volume corresponding to all available water resource types within the predicted time period. The total predicted water volume is obtained by summing the predicted water volume corresponding to all water use types within the predicted time period. The estimated remaining water volume in the monitored area within the predicted time period is obtained by subtracting the total predicted water volume from the total predicted available water volume. If the estimated remaining water volume is less than the preset control judgment threshold, it is determined that water resource scheduling is required in the monitored area.

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