CN110472347B - Computing model construction method for water resource scheduling - Google Patents
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Abstract
The invention discloses a calculation model building method for water resource scheduling, which comprises the steps of calculating a local head loss coefficient J at a target water plant valve, acquiring a valve opening K based on a valve local head loss coefficient table, and adjusting the opening of the target water plant valve to K.
Description
Technical Field
The invention belongs to the technical field of water resource scheduling, and particularly relates to a computing model construction method for water resource scheduling.
Background
Along with the development of computer aided design and national water conservancy infrastructure, a water resource scheduling model is continuously developed as a key technology, so that the scale of the current water resource scheduling modeling model is larger and larger, and a series of problems are caused, including high programming complexity under multiple platforms, more repeated work and the like.
Disclosure of Invention
In order to solve the problems, the invention provides a computing model construction method which can rapidly calculate the opening degree of a downstream water outlet valve and realize rapid use of a plurality of platforms and is oriented to water resource scheduling.
The invention adopts the following technical scheme that a computing model construction method facing water resource scheduling comprises the following steps:
s1, calculating a local head loss coefficient J at a valve of a target water plant;
s2, acquiring a valve opening K based on a valve local head loss coefficient table, and adjusting the opening of a target water plant valve to K;
the water delivery line of the target water plant comprises an upstream water diversion port, a water delivery pipeline and a downstream target water plant valve, and water flow passes through the water delivery pipeline and the target water plant valve from the upstream water diversion port to reach the target water plant.
Further, the step S1 specifically includes the following steps:
s1.1, measuring and collecting the water speed V at an upstream water diversion port of a target water plant, and calculating to obtain a water head H1 at the upstream water diversion port, wherein the calculation formula is as follows:
wherein the unit of H1 is m; the unit of V is m/s; g is a gravity coefficient;
inputting a predicted water head H2 and a target flow Q at a valve of a target water plant at a client;
s1.2, measuring engineering parameters of the water pipeline, wherein the engineering parameters comprise the pipeline diameter D, the pipeline length L and the pipeline roughness n of the water pipeline, and storing all the engineering parameters in a MySQL DataBase by a Java DataBase Connectivity method;
s1.3, storing the local head loss coefficient J and the corresponding opening degree into a MySQL DataBase through a Java DataBase Connectivity method according to a valve local head loss coefficient table;
step S1.4, calculating to obtain a pipeline sectional area S according to a pipeline sectional area calculation formula;
s1.5, reading the diameter D and the roughness n of the pipeline from the MySQL DataBase by a Java DataBase Connectivity method, and obtaining a metabolic factor a according to a Manning formula, wherein the unit of the a is
Step S1.6, obtaining an on-way waterhead loss coefficient F through the metabolic factor a obtained by the calculation of the step S1.5, wherein the calculation formula is as follows
The following:
wherein g is a gravitational coefficient;
and S1.7, calculating to obtain a local head loss coefficient J at the valve of the water plant according to the predicted head H2 and the target flow Q at the valve of the target water plant input in the step S1.
Further, the step S2 specifically includes the following steps:
step S2.1, reading a valve opening adjustment K corresponding to the loss coefficient J from a MySQL database based on a valve local head loss coefficient table according to the loss coefficient J obtained in the step S1.7, and returning the K to the client;
and S2.2, the client adjusts the opening of the target water plant valve to K.
Preferably, in the step S1.1, the water velocity V at the water diversion port door is measured and acquired by using an ultrasonic doppler flow velocity meter sensor.
Further, in the step S1.7, the calculation formula of the local head loss coefficient J at the valve of the water plant is as follows:
further, in step S1.4, the calculation formula of the sectional area of the pipeline is as follows:
wherein the unit of S is m 2 。
Furthermore, each step is realized through Java language and compiled into Java byte codes, and then a Java virtual machine is installed on an operating system which needs to run the model so as to realize the use of multiple platforms.
Compared with the prior art, the invention has the beneficial technical effects that:
the invention discloses a computing model construction method for water resource scheduling, provides a simple computing model and realizes quick use of a plurality of platforms. The calculation model of the invention enables a user to input a small amount of related parameters to obtain a scheduling result, can provide efficient and powerful scientific support for water conservancy scheduling engineering, reduces complex and repeated work of the user, and improves the accuracy of scheduling work; according to the invention, the tool kit which can be used by different development platforms can be generated according to the user requirements, so that cross-platform use can be realized, the calling of non-water conservancy professional developers is facilitated, the development cost is reduced, and the development efficiency is improved.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solution of the present invention is further explained with reference to the embodiments according to the drawings.
Examples
The water delivery line of the target water plant comprises an upstream water diversion port, a water delivery pipeline and a downstream target water plant valve, and water flows pass through the water delivery pipeline and the target water plant valve from the upstream water diversion port to reach the target water plant.
A computing model building method for water resource scheduling specifically comprises the following steps:
s1.1, measuring and acquiring the water speed V at an upstream water diversion port of a target water plant by adopting an ultrasonic Doppler current meter sensor, and calculating to obtain a water head H1 at the upstream water diversion port, wherein the calculation formula is as follows:
wherein the unit of H1 is m; the unit of V is m/s; g is a gravitational coefficient;
inputting a predicted water head H2 and a target flow Q at a valve of a target water plant at a client;
step S1.2, measuring engineering parameters of the water conveying pipeline, wherein the engineering parameters comprise the pipeline diameter D, the pipeline length L and the pipeline roughness n of the water conveying pipeline, and storing all the engineering parameters in a MySQL DataBase by a Java DataBase Connectivity method;
s1.3, storing the local head loss coefficient J and the corresponding opening degree into a MySQL DataBase through a Java DataBase Connectivity method according to a valve local head loss coefficient table;
it should be noted here that the above table of the local head loss coefficient of the valve is extracted from "liewei, xuxiaopine. Wuhan Water conservancy electric power university Press, 2000: table 4-7-2, 160", is a defined technical matter for water resource scheduling in this field.
S1.4, calculating to obtain the pipeline sectional area S according to a pipeline sectional area calculation formula, wherein the unit of S is m 2 The calculation formula is as follows:
step S1.5, reading the diameter D and roughness n of the pipeline from the MySQL DataBase by a Java DataBase Connectivity method, and obtaining the agassiveness coefficient a according to the Manning formula, wherein the unit of the a is
The manning formula is as follows:
step S1.6, obtaining the on-way head loss coefficient F by the agassie degree coefficient a obtained by calculation in step S1.5, and the calculation formula is as follows:
wherein g is an attraction coefficient;
step S1.7, calculating to obtain a local head loss coefficient J of the water plant valve according to the predicted water head H2 and the target flow Q of the target water plant valve input in the step S1, wherein the calculation formula is as follows:
s2.1, reading a valve opening adjustment K corresponding to the loss coefficient J from the MySQL database based on the valve local head loss coefficient table according to the loss coefficient J obtained in the step S1.7, and returning the K to the client;
and S2.2, the client adjusts the opening of the target water plant valve to K.
All the steps are realized through Java language and compiled into Java byte codes, and then a Java virtual machine is installed on an operating system needing to run the model, so that the use of multiple platforms can be realized.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (6)
1. A computing model building method for water resource scheduling is characterized by comprising the following steps:
s1, calculating a local head loss coefficient J at a valve of a target water plant;
s2, acquiring a valve opening K based on a valve local head loss coefficient table, and adjusting the opening of a target water plant valve to K;
the water delivery line of the target water plant comprises an upstream water distribution opening, a water delivery pipeline and a downstream target water plant valve, and water flow passes through the water delivery pipeline and the target water plant valve from the upstream water distribution opening to reach the target water plant;
the step S1 specifically includes the following steps:
s1.1, measuring and collecting the water speed V at an upstream water diversion port of a target water plant, and calculating to obtain a water head H1 at the upstream water diversion port, wherein the calculation formula is as follows:
wherein the unit of H1 is m; the unit of V is m/s; g is a gravitational coefficient;
inputting a predicted water head H2 and a target flow Q at a valve of a target water plant at a client;
s1.2, measuring engineering parameters of the water pipeline, wherein the engineering parameters comprise the pipeline diameter D, the pipeline length L and the pipeline roughness n of the water pipeline, and storing all the engineering parameters in a MySQL DataBase by a Java DataBase Connectivity method;
s1.3, storing the local head loss coefficient J and the corresponding opening degree into a MySQL DataBase through a Java DataBase Connectivity method according to a valve local head loss coefficient table;
s1.4, calculating to obtain a pipeline sectional area S according to a pipeline sectional area calculation formula;
step S1.5, reading the diameter D and roughness n of the pipeline from the MySQL DataBase by a Java DataBase Connectivity method, and obtaining the agassiveness coefficient a according to the Manning formula, wherein the unit of the a is
Step S1.6, obtaining the on-way head loss coefficient F by the agassie degree coefficient a obtained by calculation in step S1.5, and the calculation formula is as follows:
wherein g is a gravitational coefficient;
and S1.7, calculating to obtain a local head loss coefficient J at the valve of the water plant according to the estimated water head H2 and the target flow Q at the valve of the target water plant input in the step S1.
2. The method for building a calculation model for water resource scheduling according to claim 1, wherein the step S2 specifically comprises the following steps:
s2.1, reading a valve opening adjustment K corresponding to the loss coefficient J from the MySQL database based on the valve local head loss coefficient table according to the loss coefficient J obtained in the step S1.7, and returning the K to the client;
and S2.2, the client adjusts the opening of the target water plant valve to K.
3. The method for constructing a calculation model for water resource scheduling according to claim 1, wherein in step S1.1, an ultrasonic doppler flow velocity meter sensor is used to measure the water velocity V at the water collecting and distributing gate.
4. The method for building a calculation model for water resource scheduling according to claim 1, wherein in step S1.7, the calculation formula of the local head loss coefficient J at the valve of the water plant is as follows:
5. the method for constructing a calculation model for water resource scheduling according to claim 1, wherein in step S1.4, a calculation formula of a pipe sectional area is as follows:
wherein the unit of S is m 2 。
6. The method for constructing a computation model for water resource scheduling as claimed in claim 2, wherein the steps are implemented by Java language and compiled into Java bytecode, and then a Java virtual machine is installed on an operating system that needs to run the model to implement multi-platform usage.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104765977A (en) * | 2015-04-27 | 2015-07-08 | 河海大学 | Method for calculating integrated reach roughness considering local head losses |
| CN109543912A (en) * | 2018-11-29 | 2019-03-29 | 中国水利水电科学研究院 | Reservoir optimal scheduling decision model generation method based on deep learning |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104765977A (en) * | 2015-04-27 | 2015-07-08 | 河海大学 | Method for calculating integrated reach roughness considering local head losses |
| CN109543912A (en) * | 2018-11-29 | 2019-03-29 | 中国水利水电科学研究院 | Reservoir optimal scheduling decision model generation method based on deep learning |
Non-Patent Citations (2)
| Title |
|---|
| 南水北调配套环线输水工程水力过渡过程研究;陈伟;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20180615;全文 * |
| 阀门局部水头损失系数计算机方法;樊耀星等;《黑龙江水专学报》;20080331;第35卷(第1期);全文 * |
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