CN-122018570-A - Intelligent water delivery and distribution device based on multi-parameter optimization and system thereof

CN122018570ACN 122018570 ACN122018570 ACN 122018570ACN-122018570-A

Abstract

The invention discloses an intelligent water distribution device and a system thereof based on multi-parameter optimization, wherein the intelligent water distribution device comprises a data acquisition and preprocessing module, a four-dimensional coupling dynamic water distribution modeling module, a coupling state construction module, a dynamic energy field constraint module, a parameter self-adaptive regulation and control module and a steady flow solving module, wherein the data acquisition and preprocessing module is used for acquiring operation data of the intelligent water distribution device and executing preprocessing, the four-dimensional coupling dynamic water distribution modeling module is used for constructing a four-dimensional coupling dynamic water distribution model and executing parameter initialization, the coupling state construction module is used for establishing a relation among water pressure disturbance, mechanical response, aperture adjustment and flow output in an intelligent water distribution process, the dynamic energy field constraint module is used for establishing an energy field function, the parameter self-adaptive regulation and control module is used for generating a control parameter set, and the steady flow solving module is used for carrying out iterative solution through the four-dimensional coupling dynamic water distribution model to obtain a final aperture adjustment quantity and a final flow. The invention constructs a four-dimensional coupling dynamic transmission and distribution model and an energy field constraint mechanism based on multi-parameter optimization, realizes low-voltage steady flow and energy balance control, and has the advantages of high precision, self-adaption and energy conservation.

Inventors

REN HEJING
SONG RUIYONG
WANG JIDONG
LENG QIXING
SHANG JIAQI
ZHAO ZHI

Assignees

中国水利水电科学研究院

Dates

Publication Date: 20260512
Application Date: 20260127

Claims (10)

1. The intelligent water delivery and distribution device based on multi-parameter optimization is characterized by comprising a siphon flow limiting device (1) and a water outlet pipe (2), wherein the water outlet pipe (2) is communicated with the upper end of the siphon flow limiting device (1).
2. An intelligent water delivery and distribution system based on multi-parameter optimization of the intelligent water delivery and distribution device according to claim 1, comprising: The data acquisition and preprocessing module is used for acquiring the operation data of the intelligent water delivery and distribution device, executing data preprocessing and generating a standardized operation parameter set; The four-dimensional coupling dynamic transmission and distribution modeling module is used for constructing a four-dimensional coupling dynamic transmission and distribution model based on the standardized operation parameter set and executing parameter initialization; The coupling state construction module is used for establishing the relationship among water pressure disturbance, mechanical response, aperture adjustment and flow output in the intelligent water transmission and distribution process to form a continuous time sequence coupling state data sequence; the dynamic energy field constraint module is used for establishing a dynamic energy field constraint model according to the coupling state data sequence, and uniformly describing the hydraulic potential energy, the spring potential energy and the flow deviation energy as an energy field function which changes along with time; The parameter self-adaptive regulation and control module is used for calculating the energy fluctuation rate of the energy field function, extracting an energy deviation value, and adjusting an aperture control parameter, a spring pretightening force parameter and an energy weight parameter to form a control parameter set; and the steady flow solving module is used for inputting the control parameter set into the four-dimensional coupling dynamic transmission and distribution model to carry out iterative solving, so as to obtain the final aperture adjustment quantity and the output flow.
3. The intelligent water delivery and distribution system based on multi-parameter optimization according to claim 2, wherein in the intelligent water delivery and distribution process, a dynamic energy field constraint model is established according to a coupling state data sequence, and the water pressure potential energy, the spring potential energy and the flow deviation energy are uniformly described as an energy field function which changes with time; Calculating the energy fluctuation rate of an energy field function, comparing the energy fluctuation rate with an energy stability interval, extracting an energy deviation value, dynamically adjusting an aperture control parameter, a spring pretightening force parameter and an energy weight parameter according to the energy deviation value, and forming a control parameter set to realize self-adaptive steady flow adjustment based on energy field constraint; And inputting the control parameter set into a four-dimensional coupling dynamic transmission and distribution model for iterative solution to obtain final aperture adjustment quantity and output flow, and realizing dynamic steady flow control and energy field balance maintenance under water pressure disturbance.
4. The intelligent water distribution system based on multi-parameter optimization according to claim 2, wherein the operation data comprises instantaneous water pressure, output flow, spring deformation and aperture displacement in the pipeline, and the preprocessing comprises time synchronization, noise filtering and data standardization of collected data.
5. The intelligent water delivery and distribution system based on multi-parameter optimization according to claim 2, wherein the initialization of the execution parameters comprises the following specific steps: Extracting instantaneous water pressure, output flow, spring deformation and aperture displacement of a standardized operation parameter set, and constructing a parameter space of a four-dimensional coupling dynamic transmission and distribution model; Initializing each parameter in the four-dimensional coupling dynamic transmission and distribution model to form an initial running state set, wherein the initial running state set is used as a reference input for solving the four-dimensional coupling dynamic transmission and distribution model; Limiting parameter boundaries of the four-dimensional coupling dynamic transmission and distribution model according to the parameter range in the standardized operation parameter set, and restricting the value interval of instantaneous water pressure, output flow, spring deformation and aperture displacement in model iteration; And inputting the standardized operation parameter set into a four-dimensional coupling dynamic transmission and distribution model, and combining the initial operation state set and parameter boundary conditions to complete the initialization and parameter calibration of the four-dimensional coupling dynamic transmission and distribution model.
6. The intelligent water delivery and distribution system based on multi-parameter optimization according to claim 2, wherein the generation of the coupling state data sequence comprises the following specific steps: in the intelligent water delivery and distribution process, acquiring instantaneous water pressure, output flow, spring deformation and aperture displacement in real time according to a uniform sampling period, and constructing a continuous time sequence data set; Comparing adjacent time data in the continuous time sequence data set, and calculating instantaneous water pressure variation, output flow variation, spring deformation variation and aperture displacement variation; Calculating a mechanical response value caused by water pressure disturbance according to the corresponding relation between the instantaneous water pressure variation and the spring deformation variation; Matching the spring deformation variable quantity with the aperture displacement variable quantity, and calculating an aperture adjustment quantity caused by mechanical response, wherein the aperture adjustment quantity is used for representing the transfer effect of the spring response to the change of the geometric opening of the orifice; Performing corresponding operation on the aperture displacement variable quantity and the outlet flow variable quantity to obtain an outlet flow response value caused by aperture adjustment, wherein the outlet flow response value is used for describing the real-time influence of aperture geometric change on fluid output; the mechanical response value caused by the water pressure disturbance, the aperture adjustment quantity caused by the mechanical response and the output flow response value caused by the aperture adjustment are integrated in a time synchronous manner to form a multi-parameter coupling response set; And sequencing and pairing the multi-parameter coupling response sets according to the sampling time sequence to form a coupling state data sequence for reflecting the multi-parameter balance characteristic of the intelligent water transmission and distribution in the operation period.
7. The intelligent water delivery and distribution system based on multi-parameter optimization according to claim 2, wherein the generation of the energy field function comprises the following specific steps: According to the coupling state data sequence, extracting the mechanical response value caused by the water pressure disturbance in each sampling period, the aperture adjustment quantity caused by the mechanical response and the dynamic change information of the output flow response value caused by the aperture adjustment, and aligning the dynamic change information with a uniform time index to generate a response input sequence; Based on the response input sequence, calculating spring potential energy corresponding to the mechanical response value, water pressure potential energy corresponding to the water pressure disturbance and flow deviation energy corresponding to the flow output response value to form an energy feature set; According to the energy characteristic set, a dynamic energy field constraint model is established, the hydraulic potential energy, the spring potential energy and the flow deviation energy are uniformly described as an energy field function changing along with time, and a continuous time sequence structure of the energy field function is established by taking sampling time as an index.
8. The intelligent water distribution system based on multi-parameter optimization according to claim 7, wherein the energy field function is constructed by an energy integrated value sequence and is used for describing the integrated distribution state of water pressure potential energy, spring potential energy and flow deviation energy in a continuous sampling time dimension, each sampling time corresponds to a system energy integrated value, the dynamic energy field constraint model takes the energy field function as a core, and dynamic coordination and energy balance control among multiple energy elements are realized by constraining the continuity and balance of the energy integrated value in the time sequence, so that steady-flow operation of the intelligent water distribution device is maintained.
9. The intelligent water delivery and distribution system based on multi-parameter optimization according to claim 2, wherein the generation of the control parameter set comprises the following specific steps: Extracting an energy comprehensive value sequence from the dynamic energy field constraint model, and calculating an energy variation sequence according to the continuous sampling time index; Extracting energy variation amplitude according to the energy variation sequence, calculating average variation amplitude of the energy variation sequence, and generating energy fluctuation rate based on the average variation amplitude; Comparing the energy fluctuation rate with the upper limit value and the lower limit value of a preset energy stability interval, calculating an energy deviation value, recording the change trend of the energy deviation value in a time sequence, and generating an energy deviation feature sequence; calculating an energy deviation correction coefficient according to the energy deviation characteristic sequence and the energy average change amplitude; And adjusting aperture control parameters, spring pretightening force parameters and energy weight parameters according to the energy deviation correction coefficient to generate a control parameter set.
10. The intelligent water distribution system based on multi-parameter optimization according to claim 2, wherein the generation of the final aperture adjustment and the output flow comprises the following specific steps: After the energy field constraint steady flow adjustment is completed, matching the control parameter set with the energy state parameters; the energy state parameters comprise hydraulic potential energy, spring potential energy and flow deviation energy; inputting the control parameter set into a dynamic energy field constraint model, and executing first time sequence solving by taking the energy state parameter as an initial condition to obtain corresponding primary aperture adjustment quantity and output quantity; Correcting the energy state parameters according to the initial aperture adjustment quantity and the output quantity, executing energy field balance judgment, judging that the current energy field is balanced if the total energy deviation is smaller than or equal to an energy balance threshold value, and executing the next time sequence solving if the total energy deviation is larger than the energy balance threshold value; And after the energy field is judged to reach balance, outputting the final aperture adjustment quantity and the output flow.

Description

Intelligent water delivery and distribution device based on multi-parameter optimization and system thereof Technical Field The invention relates to the field of modern irrigation and fluid automation control, in particular to an intelligent water delivery and distribution device based on multi-parameter optimization and a system thereof. Background The existing water delivery and distribution device adopts a mechanical throttle valve, a float valve or a constant flow device to control the flow, and a siphon flow limiting structure is partially introduced to realize automatic water taking under the low pressure condition, however, the device is generally regulated by depending on fixed geometric parameters or single pressure feedback, so that dynamic response to instantaneous water pressure fluctuation is difficult to realize under a complex water supply environment, and the problems of unstable flow, response lag and energy loss increase often occur when the traditional steady flow control method faces water supply pressure change, pipeline vibration and outflow end resistance fluctuation, so that the overall water delivery and distribution efficiency and stability are affected. Meanwhile, the existing water delivery and distribution system lacks unified modeling and coordination control on multisource energy elements such as hydraulic potential energy, spring potential energy and flow deviation energy, an accurate energy balance relation cannot be established, the system is frequently switched between a steady state and a disturbance state, flow regulation precision is insufficient, and particularly self-adaptive steady flow regulation and energy field dynamic balance cannot be achieved under low-pressure or non-constant-pressure delivery and distribution conditions. Disclosure of Invention The invention aims to provide an intelligent water delivery and distribution device based on multi-parameter optimization and a system thereof, the invention constructs a four-dimensional coupling dynamic transmission and distribution model and an energy field constraint mechanism based on multi-parameter optimization, realizes low-voltage steady flow and energy balance control, and has the advantages of high precision, self-adaption and energy conservation. In order to achieve the purpose, the technical scheme of the invention is as follows: the intelligent water delivery and distribution device based on multi-parameter optimization comprises a siphon flow limiting device and a water outlet pipe, wherein the water outlet pipe is communicated with the upper end of the siphon flow limiting device. An intelligent water delivery and distribution system based on multi-parameter optimization of the intelligent water delivery and distribution device comprises: The data acquisition and preprocessing module is used for acquiring the operation data of the intelligent water delivery and distribution device, executing data preprocessing and generating a standardized operation parameter set; The four-dimensional coupling dynamic transmission and distribution modeling module is used for constructing a four-dimensional coupling dynamic transmission and distribution model based on the standardized operation parameter set and executing parameter initialization; The coupling state construction module is used for establishing the relationship among water pressure disturbance, mechanical response, aperture adjustment and flow output in the intelligent water transmission and distribution process to form a continuous time sequence coupling state data sequence; the dynamic energy field constraint module is used for establishing a dynamic energy field constraint model according to the coupling state data sequence, and uniformly describing the hydraulic potential energy, the spring potential energy and the flow deviation energy as an energy field function which changes along with time; The parameter self-adaptive regulation and control module is used for calculating the energy fluctuation rate of the energy field function, extracting an energy deviation value, and adjusting an aperture control parameter, a spring pretightening force parameter and an energy weight parameter to form a control parameter set; and the steady flow solving module is used for inputting the control parameter set into the four-dimensional coupling dynamic transmission and distribution model to carry out iterative solving, so as to obtain the final aperture adjustment quantity and the output flow. In the intelligent water transmission and distribution process, a dynamic energy field constraint model is established according to the coupling state data sequence, and the water pressure potential energy, the spring potential energy and the flow deviation energy are uniformly described as an energy field function which changes along with time; Calculating the energy fluctuation rate of an energy field function, comparing the energy fluctuation rate with an energy stability i