CN112699521B - Method for analyzing annual daily change data of top overflowing height of water-proof curtain wall - Google Patents
Method for analyzing annual daily change data of top overflowing height of water-proof curtain wall Download PDFInfo
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Abstract
The invention discloses a method for analyzing annual daily change data of the top overflowing height of a waterproof curtain wall, which comprises the following steps of: s1, acquiring day-to-day variation data of vertical distribution of pressure intensity of the waterproof curtain wall by utilizing an initial value of the top overflow height of the waterproof curtain wall, and calculating annual load variation data of the waterproof curtain wall; s2, screening vertical distribution change data of the pressure intensity of the waterproof curtain wall; s3, establishing a water-proof curtain wall cable net model, and calculating the top overflow height data of the water-proof curtain wall; and S4, carrying out interpolation calculation to obtain annual daily change data of the adjusted top overflowing height of the waterproof curtain wall. Due to the adoption of the technical scheme, compared with the prior art, the invention realizes the purpose of analyzing the annual change process of the top overflowing height of the waterproof curtain wall, and lays a solid foundation for a designer of the waterproof curtain wall to accurately evaluate the water temperature structure of the reservoir, the water temperature of the sewer and the load of the curtain wall after the waterproof curtain wall is implemented; and through repeated iterative computation, the final computation result can be more accurate.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a method for analyzing year-by-day change data of top overflow height of a water-proof curtain wall.
Background
The high dam reservoir is easy to form the water temperature layering phenomenon of the reservoir in spring and summer, the water body with higher water temperature is positioned at the upper layer, and the water body with lower temperature is positioned at the lower layer. The water intake of the power station has multiple elevations and is low, and the water temperature is low-temperature water, so that the problem of discharging the low-temperature water in spring and summer is caused. The discharge of low-temperature water in spring and summer of the power station will affect the fish reproduction and crop growth of downstream riverways, and cause serious ecological impact.
The water-resisting curtain wall is one of engineering measures for raising the temperature of the discharged water of the power station, and the principle is that a water-resisting curtain wall positioned under water is built at the upstream of a water intake to block low-temperature water at the bottom layer, so that water with higher temperature at the upper layer passes through the top end of the curtain wall and enters a water inlet of the power station, and the purpose of raising the temperature of the discharged water of the power station is achieved.
When the water-proof curtain wall is designed, a full-warehouse and full-year-scale width average vertical-surface two-dimensional reservoir water temperature model needs to be established, and after the water-proof curtain wall is implemented, the change of the water temperature structure of each month of the reservoir, the improvement effect of the let-down water temperature and the load of the water-proof curtain wall are simulated and calculated. The calculation can not leave an important data, namely year-to-day change data of the top overflowing height of the waterproof curtain wall. The curtain wall top elevation refers to the distance from the top of the water retaining structure of the curtain wall to the water surface, and particularly refers to the distance from the lowest point of the upper net of the curtain wall to the water surface. The top overflow height of the waterproof curtain wall is influenced by a plurality of factors such as water level, curtain wall load and the like and is not a fixed value. Because the water-proof curtain wall belongs to a novel measure for improving the temperature of the discharged water, no feasible method for analyzing day-to-day variation data of the top overflowing height of the water-proof curtain wall exists in the industry at present. Therefore, a design worker of the water-proof curtain wall cannot accurately evaluate the water temperature structure, the lower water discharge temperature and the curtain wall load of the reservoir after the water-proof curtain wall is implemented. Therefore, the occurrence of the problem seriously restricts the design level of the industry on the waterproof curtain wall and limits the research depth of the waterproof curtain wall, so that a method for analyzing year-to-day change data of the top overflowing height of the waterproof curtain wall is urgently needed.
Disclosure of Invention
In order to solve the problem that no feasible method for analyzing day-to-day variation data of the top overflowing height of the waterproof curtain wall exists in the industry at present in the background technology. The invention provides an analysis method for annual and daily change data of the top overflowing height of a waterproof curtain wall, and the method has the following specific technical scheme.
A method for analyzing year-to-day change data of top overflow height of a water-proof curtain wall comprises the following steps:
s1, acquiring day-by-day change data of vertical distribution of pressure intensity of the waterproof curtain wall by utilizing an initial value of the top overflow height of the waterproof curtain wall, and calculating annual load change data of the waterproof curtain wall according to the day-by-day change data of the vertical distribution of the pressure intensity of the waterproof curtain wall;
s2, screening out a monthly maximum power generation flow maximum load working condition and a monthly minimum power generation flow minimum load working condition from annual load change data of the waterproof curtain wall; screening out the pressure vertical distribution change data of the waterproof curtain wall under the maximum monthly power generation flow maximum load working condition and the minimum monthly power generation flow minimum load working condition from the pressure vertical distribution daily change data of the waterproof curtain wall;
s3, establishing a water-proof curtain wall cable net model, taking the water-proof curtain wall pressure vertical distribution daily change data of the monthly maximum power generation flow maximum load working condition and the minimum power generation flow minimum load working condition as the boundary conditions of the water-proof curtain wall cable net model, and calculating the water-proof curtain wall top overflowing height data of the monthly maximum power generation flow maximum load working condition and the minimum power generation flow minimum load working condition;
and S4, carrying out interpolation calculation on the overflow height data of the top of the waterproof curtain wall under the monthly maximum power generation flow maximum load working condition and the minimum power generation flow minimum load working condition to obtain the annual daily change data of the adjusted overflow height of the top of the waterproof curtain wall.
The monthly maximum generating flow maximum load and the monthly minimum generating flow minimum load are corrected load data, and the following patent documents can be referred to as a correction method: CN109933892, "a method for correcting boundary conditions of water temperature model power station lower discharge flow".
The method for establishing the water-proof curtain wall cable net model and how to calculate the top overflow height data by using the model can refer to the following documents: (1) ting E C, shih C, wang Y K.fundamentals OF a Vector Form Intrinsic finish Element Part I.basic Procedure and A Plane Frame Element [ J ]. JOURNAL OF MECHANICS,2004.
②Ting E C,Shih C,Wang Y K.Fundamentals of a Vector Form Intrinsic Finite Element:Part II.Plane Solid Elements[J].Journal of Mechanics,2004.
③Shih C,Wang Y K,Ting E C.Fundamentals of a Vector Form Intrinsic Finite Element:Part III.Convected Material Frame and Examples[J].journal of mechanics,2004.
④Wu,Tong-Yue,Wang,Chung-Yue,Chuang,Ching-Chiang,et al.Motion analysis of 3D membrane structures by a vector form intrinsic finite element[J].Journal of the Chinese Institute of Engineers,2007,30(6):961-976.
According to the method, the annual daily change data of the overflowing height at the top of the water-isolating curtain wall are calculated by using the water temperature model and the cable network model of the whole reservoir and the annual scale, the purpose of analyzing the annual daily change data of the overflowing height at the top of the water-isolating curtain wall is achieved, and a solid foundation is laid for water-isolating curtain wall designers to accurately evaluate the water temperature structure of the reservoir, the water discharging temperature and the curtain wall load after the water-isolating curtain wall is implemented.
Specifically, S1 specifically includes the following steps:
s11, converting the initial value of the top overflow height of the water-proof curtain wall into a grid number j of a water temperature model;
s12, obtaining the following data by utilizing a width average vertical surface two-dimensional full-warehouse water temperature model containing a waterproof curtain wall: mesh area A of jth mesh j (ii) a And the pressure difference dp of the ith and jth grids on the ith day ij ；i＝1，2，3…；j＝1，2，3…；
S13, calculating the load of each grid every day according to the following formula:
f ij ＝A j ×dp ij ；
obtaining the day-to-day variation data of the vertical distribution of the pressure intensity of the water-proof curtain wall; wherein f is ij The load corresponding to the ith grid and the jth grid is the ith day;
s14, according toCalculating annual load change data F of the water-proof curtain wall by the following formula i ：
F i ＝∑ j f ij 。
Before the step S1, a width average vertical plane two-dimensional full-warehouse water temperature model containing a waterproof curtain wall needs to be established, and references are made as follows: vicuna brilliant, li, liao Wengen "application of CE-QUAL-W2 model in three gorges reservoir water temperature simulation", china environmental and ecological hydraulics (2012), china water conservancy and hydropower press.
When the top overflow height of the waterproof curtain wall is converted into grid numbers in the existing model (width average vertical two-dimensional full-reservoir water temperature model), each grid number corresponds to one elevation interval, for example, no. 61 grid corresponds to 171 m-172 m, and No. 62 grid corresponds to 170 m-171 m. The overcurrent height data of the top of the water-resisting curtain wall is represented through the grid serial numbers in the existing model, so that the model can simulate the change of the overcurrent height of the top of the water-resisting curtain wall, and the analysis result is more accurate.
Specifically, S4 specifically includes the following steps:
s41, acquiring the top overcurrent height data, date, load and power generation flow of the waterproof curtain wall under the monthly maximum power generation flow maximum load working condition and the monthly minimum power generation flow minimum load working condition, taking the monthly maximum power generation flow maximum load date and the monthly minimum power generation flow minimum load date as reference objects, taking other dates as objects to be interpolated, taking the load, the power generation flow and the date as reference attributes, and taking the top overcurrent height data as attributes to be interpolated;
s42, setting a reference range, and screening out objects of which the differences between the continuous variable attribute values in the reference object and the continuous variable attribute values corresponding to the object to be interpolated are smaller than the reference range;
s43, screening out N objects in the reference objects, wherein each reference attribute value is closest to the reference attribute value corresponding to the object to be interpolated and is greater than or equal to the reference attribute value corresponding to the object to be interpolated, and solving the average value b of the attribute values to be interpolated of the N objects avg (ii) a And each reference attribute value is closest to the corresponding reference attribute value of the object to be interpolated and is smaller thanM objects of the reference attribute values corresponding to the object to be interpolated, and calculating the average value s of the attribute values to be interpolated of the M objects avg (ii) a For each continuous variable attribute value b avg And s avg Respectively carrying out linear interpolation to obtain interpolation attribute values of the reference attributes;
s44, setting weights for the reference attributes respectively; and multiplying the interpolation attribute values of the reference attributes by the corresponding weights respectively, summing to obtain attribute values to be interpolated of the objects to be interpolated, and combining the attribute values to be interpolated with the attribute values to be interpolated of the reference objects to obtain the day-to-day change data of the top of the water-proof curtain wall all the year round of the overflow height.
All reference attributes of the object to be interpolated can be obtained when the width average vertical plane two-dimensional full-base water temperature model is established. According to the interpolation method, the annual daily change data of the top overflowing height of the waterproof curtain wall can be obtained by interpolating a few typical data, and the calculation result is accurate.
Preferably, the following steps are further included after S4:
s5, calculating a monthly average value of the adjusted top overflowing height of the waterproof curtain wall and a monthly average value of an initial value of the top overflowing height of the waterproof curtain wall, and calculating a difference value between the monthly average values; judging whether the absolute values of the difference values are all larger than the grid thickness of the width-average vertical-surface two-dimensional full-warehouse water temperature model containing the waterproof curtain wall, if so, replacing the initial value of the top overflowing height of the waterproof curtain wall with the adjusted top overflowing height of the waterproof curtain wall, and returning to the step S1; if not, finishing the calculation to obtain a final calculation result of year-round daily change data of the top overflow height of the waterproof curtain wall.
The grid thickness of the width average vertical surface two-dimensional full-base water temperature model is set as a fixed value during modeling. Through the iterative computation, the final calculation result of the annual daily change data of the top overflow height of the waterproof curtain wall can be more accurate.
Due to the adoption of the technical scheme, compared with the prior art, the annual daily change data of the top of the water-proof curtain wall are calculated by utilizing a full-warehouse, a annual-scale water temperature model and a cable net model, the purpose of analyzing the annual daily change data of the top of the water-proof curtain wall is achieved, and a solid foundation is laid for a designer of the water-proof curtain wall to accurately evaluate the water temperature structure, the lower drainage water temperature and the curtain wall load of a reservoir after the water-proof curtain wall is implemented; and through repeated iterative calculation, the final calculation result of the annual daily change data of the top overflow height of the waterproof curtain wall can be more accurate.
Drawings
FIG. 1 is a schematic flow chart of an analysis method of annual daily change data of the top overflow height of a waterproof curtain wall, provided by the invention;
FIG. 2 is a schematic view of a full reservoir water temperature model grid elevation;
FIG. 3 is a process of daily change of load of a water-proof curtain wall;
FIG. 4 is a vertical distribution variation diagram of the pressure of the waterproof curtain wall under the working condition 1;
FIG. 5 is a comparison graph of the daily change process of the top overflow height of the 1 st iteration water-stop curtain wall and the 2 nd iteration water-stop curtain wall;
fig. 6 is a comparison graph of the daily change process of the top overflow height of the 1 st to 4 th iteration water-resisting curtain walls.
Detailed Description
The present invention is described in further detail below with reference to the attached drawing figures.
The embodiment of the method of the invention depends on the low-temperature water treatment project of the Guizhou clear water river three-plate stream power station. The three-plate stream power station is the second stage of the Yuan water main flow 15 cascade power stations and has the annual regulation performance that the normal water storage level of a reservoir is 475.00m, the maximum dam height is 185.5m, and the water inlet bottom plate height of a water diversion power generation system is 408.00m. After the reservoir stores water, the reservoir area presents an obvious temperature stratification phenomenon, and the water temperature at the bottom of the reservoir is only 9.6 ℃, so that the discharged water temperature is lower than that under the natural condition in spring and summer, and the adverse effect is generated on the spawning propagation of downstream fishes. In order to ensure that the fishes have proper water temperature conditions in the spawning period, a blocking device is required to be built at the upstream of a water inlet of the power station to improve the water temperature discharged from the three-plate creek water power station. In order to optimally design the water-proof curtain wall, year-to-day change data of the top overflow height of the water-proof curtain wall need to be accurately calculated.
As shown in fig. 1, a method for analyzing year-by-day variation data of the top overflow height of a water-proof curtain wall.
Step 1, establishing a width average elevation two-dimensional full reservoir water temperature model containing a waterproof curtain wall by using CE-QUANL-W2 software, longitudinally dividing a reservoir into 124 grids, wherein the thickness of each grid is 1m, the number of a section where the curtain wall is located is 118, and the model grids are shown in figure 2;
step 3, carrying out annual operation simulation analysis on the waterproof curtain wall, and calculating the daily change process of the load of the waterproof curtain wall and the daily change process of the vertical distribution of the pressure intensity; the calculation method is as follows:
converting the initial value of the top overflow height of the waterproof curtain wall into a grid number j of a water temperature model;
the following data were obtained: mesh area A of jth mesh j (ii) a And the pressure difference dp of the ith and jth grids on the ith day ij ；i＝1，2，3…；j＝1，2，3…；
The daily load per grid is calculated according to the following formula:
f ij ＝A j ×dp ij ；
obtaining the day-to-day variation data of the vertical distribution of the pressure intensity of the water-proof curtain wall; wherein f is ij The load corresponding to the ith grid and the jth grid is the ith day;
calculating annual load change data F of the water-proof curtain wall according to the following formula i ：
F i ＝∑ j f ij The calculation result of the daily change process of the load of the water-resisting curtain wall is shown in fig. 3.
| working condition number | Date of day | Load (t) | Generated current (m) 3 /s) |
| 1 | 1 month and 13 days | 19.5 | 220 |
| 2 | 1 month and 10 days | 66.7 | 440 |
| 3 | 2 month and 20 days | 45.6 | 220 |
| 4 | 2 month and 10 days | 151.6 | 660 |
| 5 | 3 month and 10 days | 35.9 | 220 |
| 6 | 3 month and 19 days | 73.3 | 440 |
| 7 | 4 month and 10 days | 33.6 | 220 |
| 8 | 4 month and 19 days | 248.4 | 870 |
| 9 | 5 months and 15 days | 128.1 | 220 |
| 10 | 5 months and 18 days | 433.8 | 440 |
| 11 | 6 month and 11 days | 311.7 | 220 |
| 12 | 6 months and 20 days | 751.0 | 440 |
| 13 | 7 month and 14 days | 802.1 | 440 |
| 14 | 7 month and 17 days | 1091.3 | 870 |
| 15 | 8 month and 13 days | 261.8 | 220 |
| 16 | 8 month and 16 days | 1047.3 | 870 |
| 17 | 9 month and 11 days | 520.1 | 440 |
| 18 | 9 month and 20 days | 800.9 | 870 |
| 19 | 10 months and 17 days | 208.0 | 220 |
| 20 | 10 months and 12 days | 872.6 | 870 |
| 21 | 11 months and 11 days | 74.5 | 220 |
| 22 | 11 month and 16 days | 471.6 | 440 |
| 23 | 12 month and 11 days | 20.8 | 220 |
| 24 | 12 month and 15 days | 225.9 | 440 |
TABLE 1 screening list for working condition of water-proof curtain wall
| Working condition number | Height of top overflow | Working condition number | Top overflow height |
| 1 | 36.9 | 13 | 34.9 |
| 2 | 37.1 | 14 | 36.0 |
| 3 | 33.8 | 15 | 35.5 |
| 4 | 34.8 | 16 | 36.2 |
| 5 | 33.1 | 17 | 36.4 |
| 6 | 33.0 | 18 | 36.4 |
| 7 | 31.4 | 19 | 36.3 |
| 8 | 31.2 | 20 | 36.4 |
| 9 | 29.6 | 21 | 36.3 |
| 10 | 30.1 | 22 | 36.3 |
| 11 | 30.1 | 23 | 33.1 |
| 12 | 32.5 | 24 | 32.5 |
TABLE 2 Top flow height of water-proof curtain wall under various working conditions
And 6, carrying out interpolation calculation on the top overcurrent height data of the waterproof curtain wall under the monthly maximum power generation flow maximum load working condition and the minimum power generation flow minimum load working condition to obtain the annual daily change data of the top overcurrent height of the waterproof curtain wall after adjustment. The interpolation calculation method is as follows:
acquiring the top overflowing height data, date, load and power generation flow of the waterproof curtain wall under the monthly maximum power generation flow maximum load working condition and the minimum power generation flow minimum load working condition, taking the monthly maximum power generation flow maximum load day and the minimum power generation flow minimum load day as reference objects, taking other dates as objects to be interpolated, taking the load, the power generation flow and the date as reference attributes, and taking the top overflowing height data as attributes to be interpolated;
setting a reference range, and screening out objects of which the differences between the continuous variable attribute values in the reference object and the continuous variable attribute values corresponding to the object to be interpolated are smaller than the reference range; since the number of reference objects is much smaller than the number of objects to be interpolated, the date reference ranges are set to 15 days, and the power generation flow rate reference range is set to 670m 3 The load reference range is set to 1000t, namely the influence of data deviation is not considered;
screening out N objects in which each reference attribute value is closest to the reference attribute value corresponding to the object to be interpolated and is greater than or equal to the reference attribute value corresponding to the object to be interpolated, and solving the average value b of the attribute values to be interpolated of the N objects avg (ii) a And M objects with each reference attribute value being closest to the reference attribute value corresponding to the object to be interpolated and smaller than the reference attribute value corresponding to the object to be interpolated, and calculating the average value s of the attribute values to be interpolated of the M objects avg (ii) a For each continuous variable attribute value b avg And s avg Respectively carrying out linear interpolation to obtain interpolation attribute values of the reference attributes; since the number of the reference objects is far less than that of the objects to be interpolated, both N and M take a value of 1, i.e., the selected value is the mean value. Since the calculation amount is huge, the present embodiment does not calculate each average value one by one.
Setting weights for the reference attributes respectively; the correlation between the top overflow height and the power generation flow is high, and the weight ratio is 0.6; and setting the date and load weight to be 0.2, and performing weighted calculation on the top overcurrent height corresponding to the attribute to be interpolated of each object to be interpolated according to the weight. And respectively multiplying the interpolation attribute values of the reference attributes by the corresponding weights and summing the values to obtain attribute values to be interpolated of the object to be interpolated, and then combining the attribute values to be interpolated with the attribute values to be interpolated of the reference object to obtain the annual daily change data of the top overflow height of the water-proof curtain wall. The annual daily change data of the top overflow height of the water-proof curtain wall is shown in fig. 5. In fig. 5, the primary iteration data is an initial value of the top overflow height of the waterproof curtain wall, that is, 35m, and the secondary iteration data is data of annual daily change of the top overflow height of the waterproof curtain wall obtained after interpolation (after adjustment). All reference attributes of the object to be interpolated can be obtained when the width average vertical plane two-dimensional full-base water temperature model is established. According to the interpolation method, the annual daily change data of the top overflowing height of the waterproof curtain wall can be obtained by interpolating a few typical data, and the calculation result is accurate.
Step 7, calculating a monthly average value of the adjusted top overflowing height of the waterproof curtain wall and a monthly average value of an initial value of the top overflowing height of the waterproof curtain wall, and calculating a difference value between the monthly average values; judging whether absolute values of the difference values are all larger than the thickness of a grid of the width average vertical plane two-dimensional full-warehouse water temperature model containing the water-resisting curtain wall, if so, setting the top overflowing height of the water-resisting curtain wall as the adjusted top overflowing height of the water-resisting curtain wall, and returning to the step S1; if not, finishing the calculation to obtain a final calculation result of year-round daily change data of the top overflow height of the waterproof curtain wall, as shown in fig. 6; fig. 6 shows the top overcurrent heights of the waterproof curtain wall calculated by the four iterations, where the first iteration data is an initial value of the top overcurrent height of the waterproof curtain wall, that is, 35m, and the fourth iteration calculation result is a final result.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (4)
1. A method for analyzing year-to-day change data of top overflow height of a water-proof curtain wall comprises the following steps:
s1, setting the top overflowing height of a water-proof curtain wall as an initial value, acquiring day-by-day change data of the vertical distribution of the pressure of the water-proof curtain wall by using the initial value, and calculating annual load change data of the water-proof curtain wall according to the day-by-day change data of the vertical distribution of the pressure of the water-proof curtain wall;
s2, screening out a monthly maximum power generation flow maximum load working condition and a monthly minimum power generation flow minimum load working condition from annual load change data of the waterproof curtain wall; screening out the pressure vertical distribution change data of the waterproof curtain wall under the maximum monthly power generation flow maximum load working condition and the minimum monthly power generation flow minimum load working condition from the pressure vertical distribution daily change data of the waterproof curtain wall;
s3, establishing a water-proof curtain wall cable net model, taking the water-proof curtain wall pressure vertical distribution daily change data of the monthly maximum power generation flow maximum load working condition and the minimum power generation flow minimum load working condition as the boundary conditions of the water-proof curtain wall cable net model, and calculating the water-proof curtain wall top overflowing height data of the monthly maximum power generation flow maximum load working condition and the minimum power generation flow minimum load working condition;
and S4, interpolating and calculating the overflow height data of the top of the waterproof curtain wall under the monthly maximum power generation flow maximum load working condition and the minimum power generation flow minimum load working condition to obtain the annual daily change data of the adjusted overflow height of the top of the waterproof curtain wall.
2. The method for analyzing the annual daily change data of the top overflow height of the water-resisting curtain wall according to claim 1, wherein S1 specifically comprises the following steps:
s11, converting the initial value of the top overflow height of the water-proof curtain wall into a grid number j of a water temperature model;
s12, obtaining the following data by utilizing a width average vertical surface two-dimensional full-warehouse water temperature model containing a waterproof curtain wall: mesh area A of jth mesh j (ii) a And the pressure difference dp of the ith grid and the jth grid on the ith day ij ；i＝1，2，3…；j＝1，2，3…；
S13, calculating the load of each grid every day according to the following formula:
f ij ＝A j ×dp ij ；
obtaining the day-to-day variation data of the vertical distribution of the pressure intensity of the water-proof curtain wall; wherein f is ij The load corresponding to the ith grid and the jth grid is the ith day;
s14, calculating annual load change data F of the waterproof curtain wall according to the following formula i ：
F i ＝∑ j f ij 。
3. The method for analyzing the annual daily change data of the top overflow height of the water-resisting curtain wall according to claim 1, wherein S4 specifically comprises the following steps:
s41, acquiring the top overcurrent height data, date, load and power generation flow of the waterproof curtain wall under the monthly maximum power generation flow maximum load working condition and the monthly minimum power generation flow minimum load working condition, taking the monthly maximum power generation flow maximum load date and the monthly minimum power generation flow minimum load date as reference objects, taking other dates as objects to be interpolated, taking the load, the power generation flow and the date as reference attributes, and taking the top overcurrent height data as attributes to be interpolated;
s42, setting a reference range, and screening out objects of which the differences between the continuous variable attribute values in the reference object and the continuous variable attribute values corresponding to the object to be interpolated are smaller than the reference range;
s43, screening out N objects in the reference objects, wherein each reference attribute value is closest to the reference attribute value corresponding to the object to be interpolated and is greater than or equal to the reference attribute value corresponding to the object to be interpolated, and solving the average value b of the attribute values to be interpolated of the N objects avg (ii) a And M objects with each reference attribute value being closest to the reference attribute value corresponding to the object to be interpolated and smaller than the reference attribute value corresponding to the object to be interpolated, and calculating the average value s of the attribute values to be interpolated of the M objects avg (ii) a For each continuous variable attribute value b avg And s avg Respectively carrying out linear interpolation to obtain interpolation attribute values of the reference attributes;
s44, setting weights for the reference attributes respectively; and multiplying the interpolation attribute values of the reference attributes by the corresponding weights respectively and summing to obtain attribute values to be interpolated of the objects to be interpolated, and combining the attribute values to be interpolated with the attribute values to be interpolated of the reference objects to obtain the day-to-day change data of the adjusted top overflow height of the waterproof curtain wall all the year round.
4. The method for analyzing the annual daily change data of the top overflowing height of the water-resisting curtain wall according to any one of claims 1 to 3, wherein the step S4 is followed by the step of:
s5, calculating a monthly average value of the adjusted top overflowing height of the waterproof curtain wall and a monthly average value of an initial value of the top overflowing height of the waterproof curtain wall, and calculating a difference value between the monthly average values; judging whether absolute values of the difference values are all larger than the thickness of a grid of the width average vertical plane two-dimensional full-warehouse water temperature model containing the water-resisting curtain wall, if so, setting the top overflowing height of the water-resisting curtain wall as the adjusted top overflowing height of the water-resisting curtain wall, and returning to the step S1; if not, finishing the calculation to obtain a final calculation result of year-round daily change data of the top overflow height of the waterproof curtain wall.
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| CN109241665A (en) * | 2018-09-30 | 2019-01-18 | 中国电建集团中南勘测设计研究院有限公司 | A kind of analysis method of Stoplog gate water temperature improvement |
| CN109933892A (en) * | 2019-03-12 | 2019-06-25 | 中国电建集团中南勘测设计研究院有限公司 | A kind of modification method of water temperature model power station letdown flow boundary condition |
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| 大型水库帷幕水温分层取水效果研究;薛文豪等;《工程科学与技术》;20170430;全文 * |
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