CN-121980632-A - Signal detector optimization method and device and electronic equipment

CN121980632ACN 121980632 ACN121980632 ACN 121980632ACN-121980632-A

Abstract

The embodiment of the application provides a signal detector optimization method, a signal detector optimization device and electronic equipment, and relates to the technical field of computers. The method comprises the steps of establishing a simulation model of the signal detector, configuring static properties and dynamic properties for the simulation model to configure a simulation environment of the simulation model, wherein the simulation environment is used for simulating an electromagnetic induction process of a coil under the action of a vibration motion rule, dynamically simulating and analyzing the configured simulation model in the simulation environment by adjusting the value of a target property parameter in the simulation model to obtain response data of the change of the induction voltage of the coil along with time, determining the target value of the target property parameter according to the response data, and optimizing the signal detector by the target value. The embodiment of the application can be used for the optimal design of the mass flowmeter, and can solve the problems of low efficiency and high cost caused by depending on design experience and physical prototype trial and error in the traditional technology.

Inventors

Pei Quanbin
WU SHIJIE
QING QING
HOU YANG
XU MING
ZHOU LEI
You Jingming
XUE YONGXIN
WANG KEXU
CHEN ZHENGWEN

Assignees

国家石油天然气管网集团有限公司
国家石油天然气管网集团有限公司西气东输分公司

Dates

Publication Date: 20260505
Application Date: 20251201

Claims (10)

1. A method of signal detector optimization, the method comprising: Establishing a simulation model of the signal detector, wherein the simulation model comprises a permanent magnet, a coil, a magnetizer for guiding the permanent magnet to generate a magnetic circuit and a medium surrounding the signal detector; Configuring static properties and dynamic properties for the simulation model to configure a simulation environment of the simulation model, wherein the static properties comprise physical properties of the permanent magnet, the coil, the magnetizer and the medium, the dynamic properties comprise a vibration motion rule of the permanent magnet or the coil, and the simulation environment is used for simulating an electromagnetic induction process of the coil under the action of the vibration motion rule; performing dynamic simulation analysis on the configured simulation model in the simulation environment by adjusting the value of the target attribute parameter in the simulation model to obtain response data of the change of the induction voltage of the coil along with time; And determining a target value of the target attribute parameter according to the response data, wherein the target value is used for optimizing the signal detector.
2. The method according to claim 1, wherein the obtaining response data of the induced voltage of the coil over time by adjusting the value of the target attribute parameter in the simulation model and performing dynamic simulation analysis on the configured simulation model in the simulation environment includes: Sequentially setting the target attribute parameters to a plurality of different values; Determining the magnetic field distribution change condition of the position of the coil based on the vibration motion rule for each value; And determining the change condition of the induced voltage of the coil as response data under the value according to the change condition of the magnetic field distribution.
3. The method according to claim 2, wherein sequentially setting the target attribute parameter to a plurality of different values includes: Determining a value range of a target attribute parameter according to the structural constraint of the signal detector; generating a plurality of discrete values based on the value range and a preset precision requirement; And setting the values of the target attribute parameters in sequence according to the discrete values.
4. The method according to claim 2, wherein determining the change of the magnetic field distribution of the position of the coil based on the vibration motion law comprises: The simulation model is discretized into a plurality of grid units, and comprises a first area with intense magnetic field change and a second area with gentle magnetic field change, wherein the magnetic field change is generated based on the relative movement of the permanent magnet and the coil, and the grid size of the grid units in the first area is smaller than that of the grid units in the second area; constructing a mathematical model for describing the change of the spatial magnetic field distribution along with the vibration motion law on the grid cells aiming at any one of the grid cells; determining the instantaneous position of the permanent magnet or the coil according to the vibration motion law; determining a magnetic field distribution change condition in the grid unit at the instant position through the mathematical model; And determining the magnetic field distribution change condition of the position of the coil according to the magnetic field distribution change condition in the grid cells.
5. The method of claim 4, wherein the first region comprises a gap region between the permanent magnet and a coil and a surface region of the coil.
6. The method of claim 1, wherein configuring static and dynamic properties for the simulation model to configure a simulation environment of the simulation model comprises: Configuring corresponding physical properties for the permanent magnet, the coil and the magnetizer as static properties of the simulation model; based on the physical attribute, configuring the space magnetic field distribution condition excited by the permanent magnet for the simulation model; configuring a vibration motion rule for the permanent magnet or the coil as a dynamic attribute of the simulation model; Based on the spatial magnetic field distribution condition and the dynamic property, the position change of the permanent magnet or the coil can influence the spatial magnetic field distribution condition in real time as a simulation environment of the simulation model.
7. The method of claim 1, wherein determining the target value of the target attribute parameter from the response data comprises: Extracting a voltage peak value of the induced voltage from response data corresponding to each target attribute parameter value; comparing the voltage peaks corresponding to different target attribute parameter values, and determining the target attribute parameter value generating the maximum voltage peak as the target value of the target attribute parameter.
8. The method of claim 1, wherein the target property parameter comprises at least one of: A relative distance between the permanent magnet and the coil; a relative angle between the permanent magnet and the coil; The magnetizing direction angle of the permanent magnet; the shape parameters of the permanent magnet or the coil.
9. The signal detector optimizing device is characterized by comprising a simulation modeling module, an environment configuration module, a dynamic simulation module and a parameter determining module; the simulation modeling module is used for establishing a simulation model of the signal detector, wherein the simulation model comprises a permanent magnet, a coil, a magnetizer used for guiding the permanent magnet to generate a magnetic circuit and a medium surrounding the signal detector; The environment configuration module is used for configuring static properties and dynamic properties for the simulation model to configure the simulation environment of the simulation model, wherein the static properties comprise physical properties of the permanent magnet, the coil, the magnetizer and the medium, the dynamic properties comprise a vibration motion rule of the permanent magnet or the coil, and the simulation environment is used for simulating an electromagnetic induction process of the coil under the action of the vibration motion rule; The dynamic simulation module is used for carrying out dynamic simulation analysis on the configured simulation model in the simulation environment by adjusting the value of the target attribute parameter in the simulation model to obtain response data of the change of the induction voltage of the coil along with time; The parameter determining module is used for determining a target value of the target attribute parameter according to the response data, and the target value is used for optimizing the signal detector.
10. An electronic device, wherein the controller comprises a processor and a memory; the memory stores instructions executable by the processor; the processor is configured to, when executing the instructions, cause the controller to implement the method of any one of claims 1-8.

Description

Signal detector optimization method and device and electronic equipment Technical Field The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for optimizing a signal detector, and an electronic device. Background Coriolis mass flowmeters meter mass flow by detecting a phase difference produced by a measurement tube as fluid flows therethrough. The signal detector of the core component consists of a permanent magnet and a coil and is responsible for converting mechanical vibration into an induction electric signal. The quality of the electrical signal directly determines the accuracy of the flowmeter, and the key of the signal quality is the optimization of the relative positions of the permanent magnet and the coil so as to ensure that the coil can efficiently cut the magnetic induction wire in vibration. At present, the design of the coriolis mass flowmeter mainly depends on manual experience and repeated trial and error of a physical prototype. This method has problems of low efficiency and high cost. Disclosure of Invention The application aims to provide a signal detector optimization method, a signal detector optimization device and electronic equipment, which aim to improve the optimization efficiency of a mass flowmeter and reduce the optimization cost. The method comprises the steps of establishing a simulation model of a signal detector, wherein the simulation model comprises a permanent magnet, a coil, a magnetizer used for guiding the permanent magnet to generate a magnetic circuit and a medium around the signal detector, configuring static properties and dynamic properties for the simulation model to configure a simulation environment of the simulation model, wherein the static properties comprise physical properties of the permanent magnet, the coil, the magnetizer and the medium, the dynamic properties comprise vibration motion rules of the permanent magnet or the coil, the simulation environment is used for simulating an electromagnetic induction process of the coil under the action of the vibration motion rules, dynamic simulation analysis is carried out on the configured simulation model in the simulation environment by adjusting the values of target property parameters, response data of the change of the induction voltage of the coil with time is obtained, the target values of the target property parameters are determined according to the response data, and the target values are used for optimizing the signal detector. According to the signal detector optimization method provided by the application, the physical structure of the signal detector can be fully restored by establishing the accurate simulation model comprising the permanent magnet, the coil, the magnetizer and the surrounding medium, and a foundation is laid for analyzing the working mechanism of the signal detector. And by configuring static properties covering physical properties of materials and vibration dynamic properties simulating actual working conditions for the model, a highly-realistic simulation environment is constructed, so that the electromagnetic induction process of the permanent magnet or the coil under the action of a real vibration rule can be effectively simulated, the traditional research and development mode depending on a physical model machine is replaced, and the implementation cost is reduced. And then dynamically adjusting the target attribute parameters and performing simulation analysis, so that the dynamic response data of the coil induced voltage under different parameter combinations can be obtained efficiently and at low cost, and the internal rule between the value of the target attribute parameters and the performance of the signal detector is determined. And finally, determining the optimal value of the target attribute parameter according to the response data, providing accurate and reliable data support and theoretical guidance for the optimal design of the signal detector, shortening the development period and reducing the trial-and-error cost. With reference to the first aspect, in one possible implementation manner, the dynamic simulation analysis is performed on the configured simulation model in the simulation environment by adjusting the value of the target attribute parameter in the simulation model, so as to obtain response data of the induced voltage of the coil over time, where the response data is obtained by sequentially setting the target attribute parameter to a plurality of different values, determining, for each value, a magnetic field distribution change condition of a position where the coil is located based on a vibration motion rule, and determining, according to the magnetic field distribution change condition, a change condition of the induced voltage of the coil as the response data under the value. With reference to the first aspect, in one possible implementation manner, the setting of the target attr